Hightouch Alternatives (2026): 8 Reverse ETL and CDP Tools

If you're leaving Hightouch, you're probably weighing three routes: another tool that pushes warehouse data into your marketing and sales apps, an open-source option you run yourself, or a customer data platform that collects events from your site and apps. Here are eight options, in no particular order, grouped by how they handle your data rather than by how big the company is.

The sync-out or collect-in decision

Reverse ETL assumes your warehouse is already where customer data lives. Your data team models it there, and the tool's job is to copy audiences, scores and fields out to the apps marketing uses every day. Nothing new gets collected. If your warehouse is in good shape, that's a lean setup, because there's one copy of the truth and your own team controls it.

A customer data platform that collects events works the other way round. It sits on your website and apps, captures what people do, builds profiles and then sends audiences on. That suits companies without a mature warehouse, or marketing teams who want to build segments without waiting on data engineers. The trade is a second store of customer data that you'll need to govern.

Some products sit in between. A composable CDP works on top of your warehouse but adds collection and audience tools, and a few pipeline tools move data both into and out of the warehouse. So ask two plain questions before any demo:

• Where should the master copy of customer data live: in your warehouse or in a vendor's platform?
• Who'll build audiences day to day: data engineers writing SQL, or marketers clicking through a builder?

If the answers are the warehouse and the data team, stay with sync-out tools. If they're a vendor platform and marketing, look hardest at the CDPs. If they're mixed, the composable options are where to start.

Each approach at a glance

Tool	Approach	Good for
DinMo	Composable CDP	Collecting and activating customer data across marketing tools
Estuary	Streaming data pipelines	CDC, ETL and streaming into warehouses and lakes
mParticle (Rokt)	Performance CDP	Turning customer data into audiences
Multiwoven	Open-source reverse ETL	Segmenting and syncing warehouse data on open source
Polytomic	ETL and reverse ETL	Moving data into and out of the warehouse
RudderStack	Warehouse-first CDP	Running the customer data lifecycle from your warehouse
Twilio Segment	Event-collecting CDP	Collecting customer data across apps and devices
Weld	ETL pipelines	Near real-time data for BI and operations

Warehouse-first sync and pipeline tools

Polytomic combines ETL and reverse ETL, so the same tool loads data into your warehouse and pushes it back out. That's handy if you'd rather not run two products for the two directions, and it keeps one set of credentials and one set of logs to check when something breaks.

Two more tools sit on the loading side. Weld builds near real-time pipelines for analytics, BI, AI agents and operations, while Estuary runs CDC, ETL and streaming pipelines into warehouses and lakes. Neither is described as a reverse ETL tool, so treat them as the feed that keeps your warehouse fresh, and plan the sync-out side separately. Fresh data matters here: an audience synced to your ads tool is only as current as the load that built it.

The open-source approach

Multiwoven is the open-source option, built for reverse ETL: segmenting warehouse data, syncing it and activating it in other tools. Running open source means your team owns hosting, upgrades and monitoring, so it makes sense when you've got engineers who'd rather control the code than wait on a vendor's roadmap.

It also softens the ownership risk described further down. If the company behind an open-source tool changes direction, the code you're already running doesn't vanish overnight, and you can keep it going while you decide what's next.

Customer data platforms that collect events

Twilio Segment collects, unifies and enriches customer data across apps and devices, and it now sits inside Twilio. mParticle (Rokt) describes itself as the performance CDP and focuses on turning customer data into audiences.

Two other platforms bring collection closer to the warehouse. RudderStack calls itself a CDP covering the data lifecycle from your warehouse, with collection, unification, activation and governance in one place, while DinMo is a composable CDP that collects, enriches, segments and activates customer data across marketing and business tools.

These are the heavier choices, and three of them are the bigger names on this list. They'll take longer to set up than a sync tool, because you're putting tracking on your site and apps and agreeing event names, but they give marketing more independence once they're running.

Who each option suits

Listed A to Z, one line each.

DinMo

Best for: Marketing teams wanting a composable CDP that collects, enriches, segments and activates customer data across their tools, which the vendor calls an all-in-one data platform.

Estuary

Best for: Data teams needing CDC, ETL and streaming pipelines in one managed platform that feeds warehouses and lakes, as the vendor describes it.

mParticle (Rokt)

Best for: Brands turning customer data into audiences with a CDP that now sits under Rokt and calls itself the performance CDP.

Multiwoven

Best for: Teams who'd rather run open-source reverse ETL for segmenting, syncing and activating warehouse data; the vendor says it's open source and fully secure.

Polytomic

Best for: Anyone wanting ETL and reverse ETL in one tool, so data moves both into and out of the warehouse without managing infrastructure, per the vendor.

RudderStack

Best for: Data teams after a CDP that works from their own warehouse, with the vendor promising to collect, unify, activate and govern data in one place.

Twilio Segment

Best for: Companies collecting customer data across many apps and devices, then unifying and enriching it in a CDP that's now part of Twilio.

Weld

Best for: Analytics and operations teams wanting near real-time ETL pipelines that feed BI, AI agents and the tools people use every day.

Ownership changes in reverse ETL and CDPs

This category has moved around a lot. At the time of writing, getcensus.com redirects to Fivetran, segment.com redirects to Twilio and mparticle.com redirects to Rokt. That's why Census isn't on this list as a separate product.

It matters when you read reviews. A comparison more than a year old may describe a product that's now part of another company, with a different roadmap, sales team or contract terms. Before you shortlist anything, open the vendor's own page and check who runs it today.

It's also a reason to keep your models and audience logic in your warehouse where you can, so a future move means re-pointing syncs rather than rebuilding segments from scratch. If you're weighing a bigger CDP move, my list of Segment alternatives and my guide to customer data platforms go further into that side of the market.

My advice on choosing an approach

Decide where the master copy of customer data lives before you look at a single feature list. If your data team already models customers in the warehouse, a sync-out tool or a composable CDP keeps that work at the centre. If you don't have a warehouse anyone trusts yet, an event-collecting CDP will get marketing moving sooner, and you can add a warehouse later.

Don't let destination lists decide it either. What matters is whether a tool syncs the specific fields, audiences and identities your campaigns use, and how it handles consent and deletion requests. Customer data includes personal data, and the rules vary by country, so check your regulator's guidance before you move profiles between vendors.

A two-trial shortlist routine

1. Pick two tools from the same approach group, so you're comparing like with like.
2. Choose one real audience your team uses every week and rebuild it in both trials.
3. Sync it to one destination, such as your email or ads tool, and compare the records that land.
4. Change a field in the warehouse, or fire a test event on your site, and time how long each trial takes to reflect it.
5. Ask each vendor who owns the product today and what's on its roadmap.
6. Run one deletion request through each trial from start to finish.

Two trials, one audience, one destination. It's a small amount of work, and it'll tell you more than any demo.

Do you make reverse ETL or customer data tools? Tool makers can ask to be considered for a featured place on this list.

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Frequently asked questions

What's the difference between reverse ETL and a CDP?

Reverse ETL copies data that already sits in your warehouse out to business apps. A customer data platform usually collects events from your site and apps itself, builds profiles and then sends audiences on.

Do I need a data warehouse to replace a reverse ETL tool?

For a like-for-like swap, yes, because reverse ETL reads from a warehouse. If you don't have one, a CDP that collects and stores events itself is the simpler route.

What's a composable CDP?

A composable CDP works on top of a warehouse you already own, rather than keeping its own full copy of customer data, while still giving marketers tools to build and send audiences.

How do I check who owns a data tool now?

Open the vendor's own website and see where the address takes you and whose name sits in the footer and terms. Reviews more than a year old may describe the product before it changed hands.

Is open-source reverse ETL harder to run?

You'll need someone to host it, upgrade it and watch it, so it suits teams with engineers to spare. In return you control the code and aren't tied to one vendor's plans.

Can I use reverse ETL and a CDP together?

Yes. Some teams collect events with a CDP, load everything into the warehouse, model it there and then sync audiences out. Just be clear which system holds the master copy.