ELT stands for extract, load, and transform. Data is collected from your source systems and loaded into your warehouse, where you can transform it with SQL or the tools your team already uses.

Which sources and destinations can I connect?

Renta supports advertising platforms, CRMs, databases, and other business tools. ELT destinations include Google BigQuery, Snowflake, ClickHouse, Microsoft SQL Server, Amazon Redshift, Amazon S3, and Google Cloud Storage. Check the [connector catalog](/connectors/) for the current list.

Do I need to write code?

You can connect accounts, choose reports, define the output schema, and configure a schedule in the Renta interface. SQL is useful for transformations and analysis after the data reaches your warehouse. You can also manage pipelines through the API or Renta MCP.

Can I load historical data?

Where the source supports it, you can select a historical date range when configuring a pipeline. The available history depends on the source API, report type, and account permissions.

How often can my data refresh?

Choose a daily schedule, a recurring interval, or a cron expression. The time a run takes depends on the source, data volume, and API limits. See the [scheduling guide](/docs/pipelines/scheduling/) for the available settings.

What if I need another connector?

[Request a connector](/request-connector/) and tell us which tool and data you need. We usually add connectors within 5 days, free of charge. We review the API and confirm the timeline after your request.

Renta ELT

Fast, reliable data movement.

Seamlessly connect, transform, and load your data using enterprise-grade ELT pipelines — engineered for speed, reliability, and scale.

Start free trial

Free for 7 days. No credit card required.

Pipeline performance

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

Success rate100.00%

P95 Duration1m 20s

Runs25

Completed25

Errored0

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

Run metadata

Detailed information about the selected run execution including status, timing, and data metrics.

Run ID:: ec04856e-9212-47ff-ad29-ebcc4a284c51
Status:: COMPLETED
Run Type:: SCHEDULE
Started:: Oct 4, 2026, 7:00:35 AM
Finished:: Oct 4, 2026, 7:01:20 AM
Rows Extracted:: 6
Duration:: 45sec

Run timeline

How long each stage of this run took, from queue to warehouse load.

0:000:050:100:150:200:25

Queued6s

Extract8s

Load11s

Trusted by leading companies

Build pipelines your way

AI-native ELT platform

Tell your AI assistant what data you need. With Renta MCP connected to your workspace, it can create and configure pipelines, trigger runs, and check their status.

Explore schema configuration

StripeSource

Report Types

Balance Transactions

Selected Parameters

Created Date

Status

Amount

BigQueryDestination

stripe_balance_transactions

Output table

created	id	status	amount
2026-10-06	txn_101	available	24900
2026-10-06	txn_102	available	9900
2026-10-06	txn_103	pending	14900

ScheduleEvery day · 07:00 UTC

CDC replication for databases

Replicate database changes into your warehouse with log-based change data capture.

PostgreSQL

Capture changes from PostgreSQL using WAL-based replication.

View documentation

MySQL

Capture changes from MySQL using binary log (binlog) replication.

View documentation

USE CASES

Start quickly with these use case templates

Fits into your existing stack

Ready-to-use connectors.

Connect the systems you work with today. Keep your output schema and reporting logic under your control.

View all connectors

12 popular sources · 48 available in the catalog

Google Ads

Source

Facebook Ads

Source

Google Analytics 4

Source

Salesforce

Source

HubSpot

Source

Stripe

Source

PostgreSQL

Source

MySQL

Source

Google Sheets

Source

Mailchimp

Source

LinkedIn Ads

Source

TikTok Ads

Source

Missing a tool in your stack?

Request a connector

From connection to first run

Set up your pipeline in three steps.

New pipeline

1Source

2Destination

3Pipeline

Select a source

Pick a data source from the list below. In the next step, you'll link it to a destination and configure the pipeline.

ETLReverse ETL

Pull data into your warehouse

Search

Already connected

Stripe

Not yet connected

Google Analytics 4

Google Ads

Facebook Ads

Salesforce

Built for day-to-day data work

Renta moves your data.
You stay in control.

Define your output schema

Start with the connector’s available reports and fields. Configure your output schema before loading data.

Schema mapping

Set your own schedule

Use a daily schedule, an interval, or a cron expression. Trigger a run manually when you need an update.

Scheduling

Know what happened

Follow execution history, duration, and run status. Open the logs when a pipeline needs attention.

Monitoring

Keep your team informed

Configure notifications so the right people hear about pipeline status and failures.

Notifications

Manage access in one place

Organize connections and pipelines in workspaces, and assign roles to the people who work with them.

Workspace roles

Build it into your workflow

Use the Renta API to manage integrations and trigger pipeline runs from your own tools.

API documentation

Work in the tools you know

In Renta.
Or in your AI chat.

Use the app to configure your pipelines, or connect your assistant through Renta MCP to discover connectors, create pipelines, and inspect runs.

A place to start

“Show my ELT pipelines and check which runs need attention.”

Claude

Codex

Cursor

Connect your workspace to use Renta tools from your assistant.

Orchestrate data confidently with Renta REST API, MCP, and CLI

Leverage developer platforms, sample code libraries and other third-party tools to optimize your Renta implementation.

Renta API

Create and configure pipelines, trigger runs, and monitor their status from your own tools.

View documentation

Renta MCP

Connect your AI assistant to Renta to create pipelines, inspect runs, and query your data.

View documentation

Postman

Explore and test the Renta API with templated requests for every endpoint.

View documentation

A few more details

Questions,
answered.

Have a specific source or workflow in mind?

Talk to our team

Fast, reliable data movement.

AI-native ELT platform

CDC replication for databases

PostgreSQL

MySQL

Start quickly with these use case templates

How to load Google Ads Performance Max campaigns data into Google BigQuery

How to connect Meta Ads data to Google BigQuery

How to load LinkedIn Ads data into Google BigQuery

Ready-to-use connectors.

Google Ads

Facebook Ads

Google Analytics 4

Salesforce

HubSpot

Stripe

PostgreSQL

MySQL

Google Sheets

Mailchimp

LinkedIn Ads

TikTok Ads

Set up your pipeline in three steps.

Renta moves your data.You stay in control.

Define your output schema

Set your own schedule

Know what happened

Keep your team informed

Manage access in one place

Build it into your workflow

In Renta.Or in your AI chat.

Orchestrate data confidently with Renta REST API, MCP, and CLI

Renta API

Renta MCP

Postman

Questions,answered.

Renta moves your data.
You stay in control.

In Renta.
Or in your AI chat.

Questions,
answered.