- Salesforce Data Cloud
- Salesforce Integration
Looking for the best Salesforce CRM connectors for your stack? The short answer depends on the CRM on the other side: HubSpot users should start with HubSpot’s native integration, Dynamics 365 teams with Power Automate, Zoho CRM teams with Zoho Flow or Skyvia, and Pipedrive teams with Skyvia.
If you’re moving off SugarCRM, an ETL or integration platform usually does the job. For bigger setups with several systems or heavy data transformations, Workato, Boomi, Jitterbit, Celigo, and MuleSoft take over, while Zapier and Make cover event-triggered automations in between.
Pick wrong and you inherit duplicate contacts, half-filled opportunity records, failed updates, and subscription charges you didn’t plan for. Those problems rarely show up in a demo. They show up after go-live, when 2 systems disagree about the same customer.
So before you commit, check which records move, how often they change, which system owns each field, and what happens when an update fails. Salesforce’s own integration patterns treat a scheduled batch job and a real-time event as separate designs, and picking the right one for your records is the first decision in any Salesforce integration.
What Is a Salesforce CRM Connector, and When Do You Need One?
| Situation | What the connector has to do |
|---|---|
| Contact sync | Push a contact edit made in HubSpot to the matching Salesforce contact |
| Lead transfer | Turn a new Zoho CRM lead into a new or updated Salesforce lead |
| Opportunity updates | Move selected deal fields between Salesforce and the other CRM |
| Activity records | Attach calls, meetings, emails, and campaign touches to the right customer |
| CRM migration | Move historical accounts, contacts, opportunities, and activities into Salesforce |
A connector can run a single action or an ongoing exchange. The ongoing kind is harder, because it needs record matching, rules for conflicting edits, retry logic, and a plan for when either system goes down.
Which Types of Salesforce CRM Connectors Are Available?
Salesforce integration tools fall into 4 groups. Some platforms cover more than one, so sort each tool by the job you’ll actually use it for.
Native CRM connectors
A native connector links 1 specific pair of apps, and one of those 2 vendors builds and supports it. HubSpot’s Salesforce integration is a good example.
It comes with a fixed setup process and sync options for that pair, as long as your subscription qualifies. If 1 supported CRM pair is your whole requirement, start here.
Workflow automation connectors
Zapier, Make, Zoho Flow, and Power Automate run actions when a specific event happens. A new contact in your other CRM, for example, can create a matching Salesforce lead.
Extra steps can add a search or a condition before anything gets written. Use these tools when you want to automate specific processes one at a time, without a central integration layer.
Data synchronization tools
Skyvia and DBSync move data between supported systems on a recurring schedule. They fit when you need scheduled transfers or defined sync rules.
Think nightly account updates or weekly activity rollups, where the data can wait for the next run. Anything a rep needs to see within seconds is a weaker fit.
Integration platforms
Workato, Celigo, Jitterbit, Boomi, and MuleSoft coordinate heavier processes across Salesforce and other apps. They earn their cost when you need detailed data transformations, multiple systems, custom API operations, or deep monitoring.
Before you pick one, map the requirements behind the project, since app count alone won’t tell you how much technical work is involved. Scoping like this is a standard first step in Salesforce consulting engagements on integration projects.
Salesforce CRM Connector Comparison at a Glance
Short on time? Category and data movement style will narrow your shortlist fastest.
Connector | Category | How it moves data | Best fit |
|---|---|---|---|
1. HubSpot Salesforce integration | Native connector | Ongoing sync between 2 systems | Teams already on HubSpot and Salesforce |
2. Zoho Flow | Workflow automation | Event-triggered flows | Zoho CRM shops with defined processes |
3. Microsoft Power Automate | Workflow automation | Event-triggered flows | Dynamics 365 and Microsoft-centric teams |
4. Skyvia | Data synchronization | Scheduled sync and replication | Ongoing record consistency between CRMs |
5. Zapier | Workflow automation | Event-triggered Zaps, some polling | A handful of simple automations |
6. Make | Workflow automation | Multi-step visual scenarios | Branching logic without code |
7. DBSync | Data synchronization | Scheduled workflows, as often as every 5 minutes | Repeatable, mapped data movement |
8. Celigo integrator.io | Integration platform | Scheduled or real-time flows | Controlled imports and exports |
9. Workato | Integration platform | Real-time and polling recipe triggers | Central control across many apps |
10. Jitterbit | Integration platform | Batch operations, with events licensed separately | Bulk processing and transformations |
11. Boomi | Integration platform | Mapped processes, billed by message | Multi-system data processing |
12. MuleSoft Anypoint | Integration platform | REST, SOAP, Bulk, and Streaming APIs | Enterprise API architecture |
For 1 supported CRM pair, test the native connection first. For several systems run by different teams, compare platforms that can process your objects and handle failures across every connection.
Best CRM Connectors for Salesforce
These 12 tools solve different problems, so judge each one by how well its documented features match your requirement. That matters most when records already sit in both apps.
1. HubSpot Salesforce integration: best for HubSpot users
Check before buying | Subscription eligibility, field mappings, duplicate rules, and how each object behaves once sync is on |
Main limitation | Built for the HubSpot and Salesforce pair only, so any other CRM needs a second tool |
HubSpot connects directly to Salesforce for eligible Professional and Enterprise subscriptions. You choose which records sync and how each HubSpot property maps to a Salesforce field.
Contacts, companies, deals, and other supported objects can sync, while custom objects carry their own eligibility and setup rules. Installing the connector won’t push every historical record across on its own, so plan for the records already sitting in your HubSpot account.
If you already pay for both products, test this one before you buy anything else.
2. Zoho Flow: best for connecting Zoho CRM with Salesforce
Check before buying | Supported triggers, authentication, required fields, and what happens when a search returns several matches |
Main limitation | A stack of separate flows takes careful coordination if you expect consistent 2-way sync |
Zoho Flow links apps through triggers and actions. A change in Zoho CRM can kick off a supported Salesforce operation, and you can build flows going the other way too.
A sensible flow searches Salesforce for an existing contact before it creates or updates anything, because skipping that search piles up duplicates fast. Flows can branch on conditions too. Before you build, check every CRM object and action you need against the available connectors.
It suits teams already living in Zoho apps with a defined set of Salesforce processes.
3. Microsoft Power Automate: best for Dynamics 365 workflows
Check before buying | Premium licensing, Dataverse permissions, supported Salesforce fields, and whether the flow handles changes in both directions |
Main limitation | Custom multi-select picklist fields need a different build method |
Power Automate works with Salesforce and Microsoft Dataverse, the data layer under many Dynamics 365 apps. Flows can create or update records after a defined event, and Microsoft classes the Salesforce connector as Premium.
Microsoft documents connector-specific throttling of 900 calls per connection every 60 seconds. The connector’s standard Create record and Update record actions also skip custom multi-select picklist fields, so test a workaround if your org relies on them.
If your business already runs on Microsoft’s workflow and identity tools, this is the natural fit.
4. Skyvia: best for recurring CRM data synchronization
Check before buying | Source and target mappings, existing-record IDs, conflict behavior, and sync allowances |
Main limitation | You need to know how your chosen task handles deletions and competing updates |
Skyvia connects to Salesforce for imports, exports, replication, and sync tasks. Its documentation covers CRM pairs, including Salesforce with Zoho CRM.
The first sync needs the most care, because Skyvia can copy records in both directions on that run without first checking for identical records. If the same contacts already live in Salesforce and Zoho CRM, prep both datasets or you’ll end up with extra copies.
Pick Skyvia when ongoing data consistency is the core requirement, and Zapier or Make when you need one-off, event-triggered actions.
5. Zapier: best for simple Salesforce workflow automation
Check before buying | The exact trigger, search behavior, task allowance, and what happens when a trigger fires twice |
Main limitation | High run volumes push usage charges up, and search logic has to account for existing records |
A Zapier integration with Salesforce runs through workflows Zapier calls Zaps. A typical Zap spots a new CRM contact and searches Salesforce for a match before it updates or creates a record.
Salesforce is a Premium app in Zapier, so you’ll need an eligible paid plan. Some Salesforce triggers poll for changes, and how often they check depends on the trigger and your plan.
Zapier makes sense when you want a handful of defined automations without building a bigger integration architecture.
6. Make: best for multi-step Salesforce automation
Check before buying | Run frequency, credit consumption, error handlers, and the Salesforce API permissions you’ll need |
Main limitation | Complex scenarios need upkeep whenever object structures or business rules change |
Make connects Salesforce to other apps through visual scenarios that search records, inspect field values, route data by condition, and run supported operations. Its Salesforce modules include standard record actions and bulk operations, plus direct API requests when a predefined module can’t do the job.
A scenario can check whether an incoming company already exists and send matched and unmatched records down separate paths. If an update fails, the same scenario can ping an admin.
Make fits teams whose Salesforce CRM integration needs several conditional steps but stays manageable in a visual builder.
7. DBSync: best for scheduled Salesforce data exchange
Check before buying | Connector licensing, supported object operations, mapping options, and the update frequency you need |
Main limitation | There’s always a gap between scheduled runs, so instant updates need a suitable trigger |
DBSync Cloud Workflow documents Salesforce connections for standard and custom objects, with operations built for configured data exchange. Workflows run on defined schedules, with intervals as short as every 5 minutes depending on setup and operating conditions.
DBSync also connects to Salesforce sandbox and production orgs, so you can test mapping and processing rules before they touch live records. That makes it easier to rehearse a full run against real object structures first.
Compare DBSync when the main job is repeatable, mapped data movement.
8. Celigo integrator.io: best for configurable application flows
Check before buying | Flow entitlements, endpoint licensing, event setup, and field mappings |
Main limitation | Some event-based setups need components installed on the Salesforce side, plus a technical review |
Celigo integrator.io moves data between Salesforce and other supported apps through flows that handle exports and imports. Depending on setup, those flows run on a schedule or respond to supported events.
Real-time Salesforce exports may need the Salesforce Integration Adapter and Apex triggers. Celigo’s prebuilt app packages handle part of that setup when the package includes it.
Celigo fits when you want tight control over how records enter and leave Salesforce across several app processes.
9. Workato: best for cross-app workflow orchestration
Check before buying | The exact trigger, supported operations, credit usage, retry behavior, and who owns maintenance |
Main limitation | Event recovery and subscription charges both depend on how you build each recipe |
Workato builds workflows as recipes: a trigger, then the actions and rules that follow it. Its Salesforce connector covers several record operations and event-based use cases.
Its real-time Salesforce triggers don’t all behave the same way, since some rely on outbound messages with backup polling while the direct outbound-message trigger works differently. That difference changes how you recover after a temporary outage.
Workato is a candidate when CRM activity has to coordinate several processes and you want central control over all of them.
10. Jitterbit: best for bulk processing and data transformation
Check before buying | Required connectors, Harmony licenses, event-processing needs, and supported operations per object |
Main limitation | Specialized event features can need extra entitlements on top of the base subscription |
Jitterbit’s Salesforce connector retrieves records, inserts data, updates objects, and processes larger datasets. The platform can also transform data between Salesforce and other systems when their object structures don’t match.
Jitterbit documents a separate Salesforce Events connector with its own licensing. If you’re planning event-driven processes, settle those terms before you sign.
Consider Jitterbit when Salesforce is one of many business apps with recurring data exchange needs.
11. Boomi: best for multi-system data processing
Check before buying | Edition eligibility, message consumption, processing environments, and Salesforce operation support |
Main limitation | Not every operation works through every Salesforce API method, so your design has to match the method |
Boomi supports Salesforce queries, record creation, updates, and upserts. You can map source fields to Salesforce objects and apply processing logic before anything gets written.
Boomi bills by message on its Pay-As-You-Go option, so every extra document a process touches shows up on the invoice. Advanced functions can carry separate conditions too.
Boomi works when several systems need coordinated processing and you have the people to handle the extra configuration.
12. MuleSoft Anypoint: best for API-led enterprise integration
Check before buying | The package, Salesforce operations, expected usage, in-house skills, and contract terms |
Main limitation | For a small, single-purpose CRM connection, the cost and build effort are hard to justify |
MuleSoft’s Salesforce Connector works with the REST, SOAP, Bulk, and Streaming APIs. So you can match each interaction to the job: the REST API for an immediate response on 1 record, the Bulk API for thousands at once.
That range pays off when your project involves complex transformations across apps with different data structures. Some Salesforce APIs, including certain specialized interfaces, sit outside the standard connector.
MuleSoft makes sense when Salesforce API integration has to fit inside an established enterprise architecture.
Which Connector Works Best With HubSpot, Dynamics 365, Zoho CRM, Pipedrive, and SugarCRM?
The CRM you already run is the most practical place to start when you compare Salesforce integration tools. The hardest part of each pair is how its records translate into Salesforce objects.
CRM | Its main records | Salesforce equivalents | Connector to test first |
|---|---|---|---|
HubSpot | Contacts, companies, deals | Leads or contacts, accounts, opportunities | HubSpot’s native Salesforce integration |
Microsoft Dynamics 365 | Leads, contacts, accounts, opportunities (Dataverse tables) | Leads, contacts, accounts, opportunities | Power Automate |
Zoho CRM | Leads, contacts, accounts, deals | Leads, contacts, accounts, opportunities | Zoho Flow or Skyvia |
Pipedrive | Persons, organizations, deals | Contacts, accounts, opportunities | Skyvia or a suitable automation connector |
SugarCRM | Accounts, contacts, leads, opportunities | Same-named Salesforce objects | A supported ETL or integration platform |
HubSpot and Salesforce
The first decision is whether new HubSpot contacts land in Salesforce as leads or as contacts, because that choice shapes every report your sales team runs afterward. Settle it before you test the native connection.
Dynamics 365 and Salesforce
The object names match, which makes this pair look easier than it is. Choice columns (Dynamics’ version of picklists) and custom fields still need value-by-value mapping, and if you’re retiring Dynamics altogether, plan a Microsoft Dynamics to Salesforce migration before any ongoing sync.
Zoho CRM and Salesforce
Zoho deals become Salesforce opportunities, so stage names and probability values need a mapping table of their own. Then pick between event-triggered flows and scheduled sync based on how quickly each change has to show up.
Pipedrive and Salesforce
Pipedrive organizes deals into pipelines, and each pipeline’s stages have to land on Salesforce opportunity stages. Teams running several Pipedrive pipelines may need separate sales processes or record types in Salesforce to keep them apart.
SugarCRM and Salesforce
If you’re moving off SugarCRM, extraction and the final cutover usually decide the design. If both systems stay live afterward, recurring sync becomes a second requirement with its own matching rules.
How Much Do Salesforce CRM Connectors Cost?
So what does a connector actually cost? Pricing models vary a lot: some tools charge per user or task, others bill by messages, records, or credits, and some use a negotiated subscription.
The cheapest advertised plan can be the wrong buy if the Salesforce connector sits in a higher tier. Prices here come from each vendor’s documentation as reviewed in October 2026, so confirm them before you buy.
Salesforce connector pricing comparison
Connector | Pricing basis | Budget note |
|---|---|---|
HubSpot Salesforce integration | Eligible HubSpot subscription | Check Professional or Enterprise eligibility |
Zoho Flow | Subscription and flow-related limits | Estimate workflow runs and available features |
Power Automate | Premium licensing | Published Premium price starts at $15/user/month, paid yearly |
Skyvia | Subscription and record allowances | Estimate records transferred and sync volume |
Zapier | Tasks and plan tier | Salesforce requires a paid plan |
Make | Credits | Multi-step scenarios use credits per operation |
DBSync | Connector licensing | Get a quote for your CRM pair |
Celigo | Subscription and flow entitlements | Confirm endpoint and flow counts for each environment |
Workato | Platform fee plus Workato Credits | Estimate consumption for your recipes |
Jitterbit | Subscription and licensed components | Include any event-related add-ons |
Boomi | $99/month base plus $0.05/message on Pay-As-You-Go | Currently open to active trial users, with extra plan conditions |
MuleSoft | Packages from $2,000/month, billed annually | Mule Credits included, with amounts that vary by package |
How to calculate the real cost
The connector fee is only part of your first-year spend. Build your estimate from these 5 cost lines:
Cost line | What to include |
|---|---|
Platform subscription | Monthly or annual charges, plus any premium connector |
Salesforce access | API eligibility and any extra products the design needs |
Implementation | Authentication, record mapping, workflow build, testing, and the first transfer |
Ongoing maintenance | Monitoring, error fixes, mapping changes, and support |
Usage charges | Tasks, messages, records, or credits billed above your allowance |
A low-volume workflow and a scheduled job checking thousands of records several times a day have very different economics.
Ask vendors to quote against your real record volumes and the number of operations each change triggers. Searching for a matching record and then updating it can cost more operations than 1 direct update.
Boomi’s rate shows why billing units matter, because a message is a platform document and test traffic can count toward the bill.
Checks to Run Before Choosing a Salesforce CRM Connector
Run every candidate through the same 9 checks, whether it’s a native connector or one of the bigger Salesforce integration tools. It’s tedious, and it’s still cheaper than finding the gap after go-live.
☐ Confirm the CRM pair: both apps and the editions you need are supported.
☐ List the records: standard and custom objects, plus any unusual field types.
☐ Assign data ownership: decide which system controls each record and field.
☐ Check update frequency: set the delay you’ll accept between a change and its sync.
☐ Set matching rules: pick unique fields or external IDs and review existing duplicates.
☐ Review access: confirm OAuth support and API eligibility for the integration user.
☐ Estimate volume: count likely requests and scheduled runs, then convert them to billing units.
☐ Test exceptions: cover conflicting edits, deleted records, merges, and rejected updates.
☐ Assign maintenance: name 1 owner for alerts and fixes, and 1 for approving changes.
The best purchase test is a controlled run with your real object structures and representative records. If your business uses custom Salesforce data, include at least 1 custom object.
Some teams need a Salesforce data governance assessment first, especially when the systems they’re connecting hold messy customer data.
How to Connect Another CRM to Salesforce
A reliable Salesforce CRM integration starts with a clear data map and a controlled test. Setup screens differ by vendor, but the sequence underneath stays the same.
Step 1. Define the records that must move
List the Salesforce objects and their matching records in the other CRM, then note each field’s source, target, data type, and edit direction. A short written data model at this stage settles arguments that would otherwise surface mid-build.
Step 2. Prepare existing data
Find duplicate contacts, missing IDs, inconsistent picklist values, and records with broken references. Historical records may need a separate migration before recurring sync starts.
Step 3. Configure authentication
Connect both apps using the methods the vendor supports, and cut the integration identity’s access back to what the workflow needs. For new custom OAuth connections, start with External Client Apps (more on that under API access).
Step 4. Map fields and operations
Match source fields to Salesforce fields, then decide whether each operation creates new records or updates existing ones. For updates, an upsert keyed on a suitable external ID saves a separate search step.
Step 5. Test before production
Use a sandbox or test environment to check existing-record matching, custom objects, required fields, and invalid data. Watch closely what happens when either system rejects an update.
Step 6. Run the first transfer
Start with a small, controlled batch, then compare source and destination counts and confirm relationships. Inspect every failure before you scale up.
Step 7. Turn on recurring processing
Set the schedule or event trigger and configure alerts. Write down how to rerun failed operations so the fix doesn’t depend on 1 person’s memory.
Step 8. Monitor the connection
Review logs, failed records, consumption, and field-structure changes on a regular schedule. Name an owner for the connection after go-live.
How to Prevent Duplicate Records and Synchronization Conflicts
A contact can exist in both CRMs before the connection starts. If the connector treats each copy as new, your first transfer creates extra contacts, and every later sync spreads the mess.
These 6 rules keep Salesforce data integration clean once both systems start writing:
- Use stable identifiers: store a unique source-system ID in a Salesforce External ID field.
- Define record ownership: decide which system owns fields like lead owner and opportunity stage.
- Review initial data: match existing records before any 2-way transfer starts.
- Document conflict handling: decide which update wins when both systems change a field.
- Handle deletions on purpose: decide what a deletion in 1 CRM does to the copy in the other.
- Use safe retry logic: make reprocessing recognize operations that already completed.
Merges need a rule too. When 2 Salesforce records merge, the losing record is deleted, so a connector still holding that record’s ID can recreate it on the next sync unless the stored mapping moves to the surviving record.
Salesforce API Access and Connector Limits
Most third-party Salesforce CRM connectors need authorized access to Salesforce APIs. Eligibility and exceptions depend on your edition and the app.
Before you install anything, check your actual Salesforce org against the vendor’s requirements. A connector may need specific permissions or features beyond general API access.
Authentication
Salesforce uses OAuth-based authorization for many third-party apps. Setup depends on whether the vendor supplies its own authorized app or needs a configuration built for your org.
Salesforce restricted the creation of new connected apps as of Spring ’26, though existing connected apps keep working. It now recommends External Client Apps for new custom integrations, and orgs that must keep creating connected apps have to contact Salesforce Support.
API limits
Salesforce enforces API allocations at the org level, so every Salesforce API integration you run, whether it’s a single Zap or a MuleSoft build, draws from the same pool. Individual connectors can add their own limits on top. Power Automate’s per-connection throttle, covered in its profile, is one example.
Some connectors let you cap their share of the allocation. HubSpot, for example, lets you set the number of Salesforce API calls its integration may use, which protects the calls your other tools need.
Permissions and security
Give the integration identity only the object and field permissions it needs. Review token handling and credential storage, and strip out unused access.
When standard connector actions can’t handle your data structure, the gap usually needs Salesforce development work, such as Apex code or a custom API layer.
What Happens When a Salesforce CRM Connector Fails?
Integrations break when credentials expire, API calls hit limits, field values go invalid, or an app stops responding. The connector’s documentation should explain how failures get logged and whether the process can retry them.
Failure | Likely cause | What to do |
|---|---|---|
Authentication error | Expired authorization or changed permissions | Reauthorize and inspect access rights |
API limit error | Too many requests | Check your allocation and space out retries |
Validation error | Missing or invalid field values | Fix the record or the field mapping |
Duplicate record | Missing or weak matching rule | Review identifiers and first-sync behavior |
Missing updates | Trigger interruption or failed processing | Check event logs and reconcile records |
Partial batch failure | Some records rejected | Find the failed record IDs and retry safely |
Recovering missed Salesforce events
Salesforce keeps platform events and Change Data Capture events for 72 hours, and subscribers can replay them within that window using the right API and replay information. Event-based designs are a common way to push real-time Salesforce data into other systems, so that retention window sets your recovery deadline.
After 72 hours, you’ll need another way to find missed changes, such as a reconciliation or backfill job. Business-critical connections need a named owner for that monitoring, whether it’s an in-house admin or a Salesforce managed services team.
Salesforce Integration Case Studies
Want to see how this plays out on real projects? These VALiNTRY360 case studies cover a CRM migration, an ERP connection, an alumni data migration, and 2-way email sync.
Real California Milk: replacing SugarCRM with a self-updating Salesforce org
Real California Milk, an agricultural marketing board, ran on SugarCRM and kept Accounts and Contacts current through manual work and complex data manipulation. VALiNTRY360 moved those records into Salesforce Sales Cloud, with an ETL tool and custom automations that import and reconcile them every quarter, plus MailChimp and Zoom connections that put email and call activity on the customer record. Annual labor hours spent manually updating data dropped from 500 to 4.
Key takeaway: A scheduled ETL job with reconciliation rules can keep externally sourced records current without anyone retyping them, as long as Salesforce is named the single source of truth first.
Read the full case study: Real California Milk SugarCRM to Salesforce Migration
BIC Graphic: connecting Salesforce to an existing ERP
BIC Graphic, a high-volume promotional products business, had no CRM, so each customer-facing team kept its own version of customer history. VALiNTRY360 implemented Sales Cloud and Service Cloud and connected Salesforce to the company’s existing ERP, putting order and fulfillment data beside case and call history on one record. Average handle time dropped by 7 minutes, and new pipeline opportunities rose by more than 27%.
Key takeaway: An integration earns its keep when it puts the data a rep needs, such as order status and past cases, on the record they already have open.
Read the full case study: BIC Graphic Sales Cloud and Service Cloud Case Study
AdventHealth University: migrating 25 years of alumni records
AdventHealth University’s 25 years of alumni records sat in systems that stored data without helping staff act on it, so VALiNTRY360 ran a full ETL process to move them into Salesforce as clean, structured data. An Outlook connection now syncs email activity back automatically, right next to opportunity management and activity tracking. The university now has a full 360 view of each alumnus after graduation.
Key takeaway: Treating a migration as a data quality project, with cleanup before the load, is what makes the records usable once they land in Salesforce.
Read the full case study: AdventHealth University Salesforce Implementation Case Study
All American Solar: 2-way email sync on a Quick Start build
All American Solar needed a CRM its team could maintain without a dedicated administrator. VALiNTRY360 ran a Salesforce Quick Start implementation on Sales Cloud, shaping Leads, Contacts, Accounts, and Opportunities around the sales-to-installation flow, then connected Gmail for 2-way sync through Lightning for Gmail so email activity logs automatically. The company reported 16% quarterly growth year over year after implementation.
Key takeaway: Standard connectors and standard configuration keep a small team in control of its own integration, with no custom code to maintain.
Read the full case study: All American Solar Salesforce Quick Start Case Study
A Team of 100+ Salesforce Professionals for Connector Projects
Picking a connector can be simple. Connecting live CRMs full of custom objects and conflicting data is harder, because every decision in this guide lands on someone who has to configure and maintain it.
VALiNTRY360’s team of 100+ Salesforce professionals covers consulting and implementation work, Salesforce data integration included. Its About Us page lists the certifications the team holds, and here are 4 that map directly onto connector work:
Certification | Where it shows up in a connector project |
|---|---|
Salesforce Certified Platform Administrator | Integration user setup and field-level permissions |
Salesforce Certified Platform App Builder | Custom objects and the automation that fires after a record syncs |
Salesforce Certified Platform Data Architect | External ID strategy and large-volume data design |
Salesforce Certified Data 360 Consultant | Unifying customer records that arrive from several sources |
Those skills matter most at the 2 points where connector projects usually go wrong: the first transfer and the first failure.
FAQs About Salesforce CRM Connectors
What is a Salesforce CRM connector?
A Salesforce CRM connector is software that lets Salesforce exchange records or trigger actions with another app. Depending on the tool, it can create contacts, update accounts, sync opportunities, or move historical data. What it can actually do depends on the apps involved and the permissions you grant.
Which Salesforce connector is best for HubSpot?
HubSpot’s native Salesforce integration is the best first option if you already use both products, since it syncs eligible HubSpot accounts with Salesforce directly. Before you switch it on, check subscription eligibility, object coverage, existing-record handling, and field mappings.
Can Salesforce connect with Microsoft Dynamics 365?
Yes. Microsoft Power Automate connects Salesforce and Dynamics 365 apps through its Dataverse and Salesforce connectors, as long as your flow has the right licensing and permissions. If you’re replacing Dynamics 365 with Salesforce, plan a separate historical data migration too.
Can Zoho CRM and Salesforce sync automatically?
Yes. Zoho Flow automates supported actions between the 2 platforms, and Skyvia documents sync for the pair as well. Pick Zoho Flow for event-triggered workflows and Skyvia for ongoing record sync, then test existing-record matching before any updates go live.
Can Salesforce and Pipedrive sync contacts and deals?
Yes, through compatible integration tools, and Skyvia is one worth testing. Check how Pipedrive persons and organizations map to Salesforce contacts and accounts, and how deals map to opportunities, because the structures don’t line up exactly.
How do native Salesforce connectors compare with integration platforms?
Native connectors focus on 1 app pair and come with predefined sync behavior. Integration platforms handle wider processing across many apps. Your pick depends on required objects, mapping complexity, recovery needs, in-house skills, and total cost.
Do Salesforce CRM connectors support 2-way synchronization?
Some do. In a 2-way setup, selected changes in either system reach the other, as long as the connector can match corresponding records and apply defined conflict rules. Check which objects and fields actually support 2-way updates before you assume everything will sync.
Which CRM connectors support Salesforce custom objects?
HubSpot (on eligible plans), Make, DBSync, Boomi, and MuleSoft all give you ways to work with supported Salesforce custom objects. Object access and available operations vary by tool. Confirm your exact custom object and its required fields against the vendor’s documentation.
Does Salesforce require API access for third-party CRM connectors?
Most third-party connectors use Salesforce APIs, though requirements depend on your Salesforce edition and the app. Check API eligibility and integration permissions first. Your org also needs enough API capacity for the expected request volume.
Can I connect another CRM to Salesforce without coding?
Yes. HubSpot’s native connector, Zoho Flow, Zapier, Make, and Power Automate all connect through configuration, though you still have to map fields and test how data behaves. Custom code comes in when the modules you have can’t run an operation you need.
How much do Salesforce CRM connectors cost?
It varies by product and usage, with tools charging per user, task, record, message, or credit. Boomi publishes an eligible Pay-As-You-Go option from $99 a month plus message charges, and MuleSoft advertises packages from $2,000 a month, billed annually. Implementation and support add to the total.
How do I prevent duplicate records when connecting 2 CRMs?
Start by finding existing duplicates in both systems, then use stable matching identifiers such as Salesforce External ID fields. Decide whether each operation creates or updates records, and test the first transfer before you allow 2-way updates.
How often do Salesforce CRM connectors update records?
It depends on the product and the trigger, since some connectors poll on a schedule while others respond to supported app events. Workload and API limits can add delays too. Read the trigger documentation for your tool, because polling triggers can wait minutes between checks.
What happens when a Salesforce CRM connector stops working?
Updates stall or never reach the destination. Admins should check authentication, connector logs, API limits, and failed records. Fix the issue and retry supported operations, then reconcile anything missed during the outage.
Can I test a Salesforce CRM connector before it touches live records?
Yes, and you should. Many connectors can point at a Salesforce sandbox, and DBSync, for example, documents both sandbox and production connections. Run a small, controlled batch with real object structures first, including at least 1 custom object if your org uses them.