Build without scattered scripts
Define reusable connections, field mappings, and SQL transformations in one workflow.
ETL CONSOLE
Build and operate data pipelines in one place
Enterprise ETL capabilities without enterprise complexity
Build scheduled pipelines across databases, files, APIs, and S3, with mapping, SQL transformations, and run monitoring in one place.
For data engineers and lean BI teams running recurring data integrations.
Free beta · No payment method · Start with a ready-made demo database and the guided tour.
Connectors and sources
Connect the sources you already use
Bring data from databases, files, S3, and REST APIs into repeatable pipelines.
PostgreSQL
MySQL
MariaDB
SQL Server
Oracle
MongoDB
AWS S3
CSV
Excel
JSON
Parquet
REST API
Why ETL Console
One place to build, run, and monitor data pipelines
Run on a schedule
Save staging pipelines and schedule recurring data movement.
See issues early
Review run history, failures, rejected rows, source-to-target and data quality checks and customizable alerts via email or webhooks.
Use cases
Operate recurring data integration work with visibility
Use ETL Console for practical integration jobs where teams need repeatable runs, source-to-target control, and operational history.
Example scenario
Multi-source operations datamart
Stage Oracle tables, a public CSV URL, and Microsoft SQL Server data into common PostgreSQL tables using incremental load mode, so scheduled runs add new records without reloading every source from scratch.
Apply business-logic SQL transformations across those staged sources, then publish the curated output to two targets: a PostgreSQL datamart for BI tools and full-copy snapshots in an AWS S3 bucket.
Sources
Oracle
Public CSV URL
MS SQL Server
Staging and logic
Staging to PostgreSQL
SQL business transformations
Targets
PostgreSQL datamart
AWS S3 bucket storage
- Incremental staging for adding new records
- Scheduled transformation jobs with two downstream targets
- Error monitoring, run history, alerts, and data quality checks
KPIs Strip
Stagings
- Runs started
- 34
- Success rate
- 94.1%
- Failed
- 2
- Rows added
- 284,920
Transformations
- Runs started
- 12
- Success rate
- 91.7%
- Warnings
- 1
- Data Quality Issues
- 3
Active Stagings / Transformations
Active stagings8
Inactive stagings2
Active transformations4
Inactive transformations1
Latest Fails
StatusTypeLabelTime
Failed
Staging
Oracle orders incremental
2026-08-15 08:10
Warning
Transform
Datamart customer revenue
2026-08-15 08:35
Next Scheduled Runs
CSV FX rates09:15
SQL Server invoices09:30
S3 datamart snapshot10:00
Freshness and Rejected Rows
Oracle orders6m old
CSV FX ratesSLA 15m
Rejected rows17
Staging Run Stats
Performance Stats
Rows today128,740
Duration42.6 min
Throughput50.4 rows/sec
Database replication to reporting
Move operational tables into reporting-ready relational targets with scheduled full, incremental, or hybrid staging.
PostgreSQL / MySQL / SQL Server / Oracle -> staging -> reporting table
File and S3 ingestion
Load CSV, Excel, JSON, JSON Lines, and Parquet data from uploads or S3 objects into controlled staging tables.
S3 or uploaded file -> staging -> validation and review
REST API extraction
Pull REST API resources into staging so external API data can be joined with database reporting workflows.
REST API resource -> staging -> downstream SQL
Operational data quality monitoring
Track recurring runs with consistency checks, rejected-row review, data quality history, and schema drift visibility.
Scheduled staging -> quality checks -> alerts and history
SQL transformation pipelines
Run SQL transformations after staging and monitor transformation runs separately from extraction runs.
Staged data -> SQL transformation -> target table
Private network data movement
Use private deployment patterns when databases, TLS, credentials, or network access cannot be exposed to public workers.
Private database -> customer-controlled deployment -> target
Free Beta
Start with the demo. Then build with your data.
Request free beta access to explore ETL Console with a ready-made demo database and guided tour.
- Request access
- Receive approval
- Explore the demo
- Connect your data
No payment method required.
