Renta Reverse ETL

Your warehouse data.
Ready for action.

Sync the customer data you trust to the tools your teams use. Connect Google BigQuery and ClickHouse to your CRM, ad platforms, and engagement tools.

From warehouse model to your next customer action

Map your fields, set sync rules, and keep your teams’ tools up to date. Manage every step of your Reverse ETL pipeline in one place.

See how your pipeline is performing.

Review success rate, run counts, P95 duration, and execution history in one overview.

Control your syncs with AI.

Create pipelines, trigger syncs, and inspect runs from your AI assistant or terminal.

Works with your AI tools

  • Claude
  • Cursor
  • Codex
  • Antigravity CLI

Pipeline performance

Overview of pipeline execution metrics including success rate, completion status, and performance indicators.

Success rate

100.00%

P95 Duration

46s

Runs

25

Completed

25

Errored

0

Analyze run history by execution time, status, and processed row volume.

00.20.40.60.81.0Sep 20Sep 20Sep 20Sep 20Sep 20Sep 20Sep 20Sep 20Sep 20Run execution time (minutes)

YOUR WORKFLOW. YOUR AI ASSISTANT.

From a conversation
to a running sync.

Describe the data you need. Build a model, map it to your business tools, and schedule the sync with Renta MCP.

Choose a workflow to try

Claude with Renta MCPInteractive demo

A model, a pipeline, a running sync. Watch the conversation unfold.

Step 1 of 3 · Create a model

From insight to impact

You have the data.
Give your teams the next move.

The customer picture is in your warehouse. Get it into the tools where campaigns launch, deals move, and relationships grow.

Put your best customer data behind every campaign.

Build audiences from purchase history, lifetime value, or product usage. Sync them to Google Ads and Meta, and send conversion events back to your ad platforms.

  • Reach high-value customer segments
  • Keep suppression audiences up to date
  • Connect offline outcomes to online campaigns
Find your destination
Data model

high_value_customers

Schema

ColumnTypeSample
emailstringalex@example.com
lifetime_valuenumber840
last_purchase_attimestamp2026-09-20

Sync to

Google AdsMeta AudiencesMeta Conversions

A clear path from model to sync

Define it once.
Keep every tool in sync.

Use the tables and SQL you already know. Renta handles the connection to each destination.

  1. 01

    Choose your data

    Connect Google BigQuery or ClickHouse. Select a table or write a SQL model, preview the results, and choose a unique key.

    Explore data models
  2. 02

    Make the connection

    Choose a destination and map your columns to its fields. Set how Renta should create, update, and handle removed records.

    See a mapping example
  3. 03

    Set your schedule

    Run on a schedule or trigger a sync via API. Follow each run and inspect rejected rows when a destination needs attention.

    Explore scheduling

Built for the details that matter

Your data moves.
You stay in control.

A working pipeline needs more than a connection. Decide what changes, what stays, and how to investigate a failed delivery.

Delivery results

What this run delivered to the destination — select a record to inspect its API requests.

Added124
Updated98
Removed0
Successful222
Rejected0
STATUS
SuccessfulRejected
OPERATION
All operations
TYPEID (PRIMARY KEY)EVENT TIME
ADDcustomer_1042Sep 21, 2026, 6:16:00 AM
UPDATEcustomer_1043Sep 21, 2026, 6:16:01 AM
ADDcustomer_1044Sep 21, 2026, 6:16:00 AM
UPDATEcustomer_1045Sep 21, 2026, 6:16:01 AM
ADDcustomer_1046Sep 21, 2026, 6:16:00 AM
UPDATEcustomer_1047Sep 21, 2026, 6:16:01 AM
ADDcustomer_1048Sep 21, 2026, 6:16:00 AM
UPDATEcustomer_1049Sep 21, 2026, 6:16:01 AM
ADDcustomer_1050Sep 21, 2026, 6:16:00 AM

Sync what changed

After the initial sync, supported incremental pipelines compare model state and send new or changed rows. Unchanged rows stay out of the next delivery.

Make updates intentional

Map the fields you need. Choose null handling, sync modes, and deletion policies supported by your destination.

See what needs attention

Open a record to inspect the request and response. See what reached the destination and use its error details to resolve a rejected delivery.

Explore run monitoring

One workspace. Both directions.

Close the loop
with Renta.

Bring data into your warehouse with Renta ETL. Model it with your own business logic. Send it back to the tools your teams use with Reverse ETL.

Already have an ingestion tool?
Start with Reverse ETL and keep your existing setup.

Explore Renta ETL
The Renta data platform

From source to action.

Before your first sync

A few good
questions.

Have a specific workflow in mind?

Let’s talk it through
Ready to put your data to work?

Connect your warehouse to the tools your teams use. Build your first Reverse ETL pipeline, or talk through your use case with us.

Free for 7 days. No credit card required