Reverse ETL tools copy data from your data warehouse back into the apps your teams use every day, such as your CRM, marketing platform or support desk. The market changed a lot in the last year: Census is now part of Fivetran, the open-source Grouparoo project has been archived, and several data platforms now include reverse ETL next to their pipelines. This guide compares 10 reverse ETL tools that are active in 2026, explains who each one fits, and shows how to choose.
What is reverse ETL?
Normal ETL or ELT moves data from your business apps into a data warehouse, where you clean it, join it and report on it. Reverse ETL goes the other way: it takes the finished results, such as a lead score, a customer health score or a list of accounts that are about to renew, and writes them back into the operational tools where people act on them.
The point is simple. Sales reps live in Salesforce or HubSpot, support agents live in Zendesk, and marketers live in their email tool. If the useful numbers only exist in a dashboard, most people never see them. Reverse ETL puts those numbers into the fields and lists people already work with, which is why vendors also call it data activation.
What changed in reverse ETL since 2025
Three changes matter if you are reading older comparisons. First, Fivetran announced it was buying Census in May 2025, and the Census website now redirects to Fivetran, where the product is sold as Fivetran Activations. Second, the Grouparoo repository on GitHub has been archived since April 2022, after Airbyte acquired the team, so it is no longer a live option. Third, most ELT vendors now offer reverse ETL as part of their own platform, so many teams no longer buy a separate tool for it.
The other trend is that customer-focused tools such as Hightouch, Segment and DinMo now describe themselves as composable customer data platforms (CDPs). Reverse ETL is still the engine underneath, but the products are built around marketing audiences and campaigns.
Reverse ETL tools at a glance
What to look for in a reverse ETL tool
Start with your destinations. Every tool supports Salesforce and HubSpot, but coverage gets thin quickly for European accounting, ERP and niche SaaS tools. Check that each app you want to update is supported, and that the tool can write to the fields and objects you need, including custom ones.
Next, look at how syncs run. Good tools only send records that changed since the last run, which keeps you under the destination’s API limits and makes syncs faster. You also want clear error reporting per record, because a sync that silently skips 3% of rows is worse than one that fails loudly. Our guide to sync frequency explains how often each kind of data really needs to update.
Then decide where the modeling happens. Some tools expect you to build every model in SQL or dbt first; others let business users build audiences visually. Finally, check security: where the vendor hosts your data, which certifications it holds, and how it stores the credentials for your apps. Vendors publish this on a security page, and it is worth reading before you connect production systems.
The 10 best reverse ETL tools in 2026
1. Peliqan
Peliqan is an all-in-one data platform, so reverse ETL is one part of a larger product rather than a separate tool. You connect your apps with 300+ ready-made connectors, the data lands in a built-in data warehouse (Postgres, with Trino as the query engine), and you model it with SQL or low-code Python.
From there you can push results back into apps such as Salesforce or HubSpot, or set up syncs that keep two apps aligned.
This matters most if you do not have a data warehouse yet. With the dedicated tools below, you first need a data warehouse, an ELT tool and a modeling layer before reverse ETL can start. With Peliqan those pieces come together, and you can still connect your own Snowflake, BigQuery, SQL Server or Redshift instead of the built-in data warehouse.
Peliqan is SOC 2 Type II and ISO 27001 certified, GDPR compliant and hosted on AWS in Frankfurt. Agencies and SaaS companies can also offer it to their own customers under their brand through the white-label option.
On the pricing page, reverse ETL, writeback and data syncs are listed from the Pro plan up.
Best for: small and mid-size teams that want ingestion, a data warehouse and reverse ETL without running several tools, and EU companies that need EU hosting.
2. Hightouch
Hightouch is one of the companies that made reverse ETL popular. It now positions itself as a customer data and AI platform for marketers, but its core is still syncing data warehouse tables and audiences into hundreds of destinations. Marketers can build audiences visually, while data teams keep the models in SQL or dbt.
Best for: larger marketing teams that already have a well-modeled data warehouse and want self-service audiences.
3. Fivetran Activations (formerly Census)
Census was a developer-friendly reverse ETL tool with strong SQL and dbt support. After Fivetran announced the acquisition in May 2025, Census became part of Fivetran, which now sells the product as Activations next to its ELT pipelines. The appeal is one vendor for moving data in and out of your data warehouse. Our explainer on the dbt and Fivetran merger covers how the Fivetran stack has been consolidating.
Best for: companies already paying for Fivetran that want reverse ETL from the same vendor.
4. Twilio Segment
Segment is best known for collecting website and app events. Its reverse ETL feature lets you take data warehouse tables and send them to the same destinations that receive your event data, so profiles and audiences stay consistent across both.
Best for: B2C and product-led companies that already use Segment for event tracking.
5. RudderStack
RudderStack also started with event collection and offers reverse ETL as a source type, so you can stream events and sync data warehouse tables from the same platform. It is often chosen by engineering-led teams that want control over their customer data pipelines.
Best for: technical teams that want event streaming and reverse ETL in one tool.
6. Airbyte
Airbyte is an open-source ELT tool with a large connector catalog. It now offers data activation, its name for reverse ETL, which uses declarative field mappings to move data from your data warehouse into tools like Salesforce and HubSpot. If you already run Airbyte for ingestion, this keeps both directions in one place. See our Airbyte alternatives if you are weighing it against other ELT tools.
Best for: technical teams that already use Airbyte and want to avoid another vendor.
7. Polytomic
Polytomic combines ETL, CDC streaming, reverse ETL and general data syncs in one product. Its strength is bidirectional syncing: it can move data between data warehouses, databases, cloud apps, spreadsheets and HTTP APIs, not only from the data warehouse outward. That makes it useful for two-way setups and data orchestration between operational systems.
Best for: teams that need data to flow in both directions between systems.
8. Integrate.io
Integrate.io is a low-code data pipeline platform that covers ETL, ELT, CDC and reverse ETL. Pipelines are built visually rather than in code, which suits teams without many data engineers.
Best for: teams that prefer visual, low-code pipelines.
9. Weld
Weld is a European data platform that covers ingestion from 300+ sources, SQL transformations, orchestration and reverse ETL. It works on top of cloud data warehouses such as BigQuery, Snowflake and Databricks, and also offers an MCP server for AI tools.
Best for: European teams with a cloud data warehouse who want ELT and reverse ETL from one EU vendor.
10. DinMo
DinMo is a French composable CDP. It connects to your data warehouse and uses no-code reverse ETL to send audiences and attributes to marketing and sales tools, with a strong focus on GDPR and keeping data in your own data warehouse.
Best for: EU marketing teams that want audiences built on their own data warehouse without writing SQL.
How to choose the right reverse ETL tool
Two questions settle most decisions. Do you already have a data warehouse and an ELT tool you are happy with? If yes, pick the reverse ETL option that fits that stack. If not, it is usually simpler and cheaper to start with a platform that covers the whole flow than to buy three tools and connect them yourself, as our overview of SaaS data integration explains.
Reverse ETL vs two-way sync vs CDP
These terms overlap, so it helps to separate them. Reverse ETL is one direction: from the data warehouse into apps. A two-way sync keeps records in two systems aligned in both directions, for example contacts between a CRM and an ERP, and needs rules for which system wins when both change. A CDP is a product category built around customer profiles and audiences for marketing; many modern CDPs use reverse ETL under the hood. If you are comparing CDPs specifically, our guide to customer data platforms goes deeper.
It is also different from normal pipelines. ETL and ELT bring data into the data warehouse, and reverse ETL sends results out. Most teams need both, which is why the line between data pipeline tools and reverse ETL tools keeps getting thinner.
Common reverse ETL use cases
For sales teams, the classic use case is putting a lead or account score into the CRM, built from product usage, website visits and billing data, so reps know who to call first. For customer success, it is a health score and renewal date on every account, so risky customers show up before the renewal call.
Marketing teams use reverse ETL to send audiences, such as trial users who reached a key step, into email and ad platforms. Support teams get the customer’s plan, recent orders and open invoices inside the ticket, and the same data can update contact records in a CRM such as HubSpot.
Finance teams push payment status or credit limits into the CRM so sales does not chase a deal with a customer who has not paid. All of these follow the same pattern described in our introduction to data activation: model once in the data warehouse, then send the result to wherever people work.
Tips for a smooth reverse ETL rollout
Start with one use case that has a clear owner and a number you can measure, such as a lead score for one sales team. Map only the fields that team will use, and agree on what happens when a value in the destination is edited by hand. Sync on a schedule that matches how fast the data really changes, because hourly syncs of data that changes weekly only burn API calls.
Add alerts for failed syncs from day one, and review the destination after the first runs to check that values look right. The Peliqan documentation shows how alerts and syncs are set up.
Once the first use case is trusted, add the next one. Most reverse ETL problems come from syncing too much too early, not from the tool itself. When you are ready to compare connectors, our connector list shows which apps Peliqan can read from and write back to.
Conclusion
Reverse ETL is now a standard part of the data stack, but the tool landscape has consolidated. Census lives on as Fivetran Activations, Grouparoo is gone, and most ELT platforms offer reverse ETL of their own. If you already have a data warehouse and an ELT tool, the simplest choice is usually the reverse ETL option that fits that stack. If you are starting fresh, an all-in-one platform saves you from buying and connecting several tools before your first sync.
Whichever you choose, start small, pick one use case with a clear owner, and expand once the numbers in your apps are trusted. For the basics behind all of these tools, read our full guide on data activation.
If you are still deciding where your data should live, our comparison of data warehouse tools covers the main options.
