Your platform for
end-to-end data needs

You shouldn’t need four different platforms to leverage data effectively. Ingestion(ETL), Activation, Observability and Catalog in one place.

Seamless data collaboration among teams.

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The advantage of a Unified DataOps Platform

Build, manage and scale pipelines in seconds. Observability doesn't have to be an afterthought.

Reduce your data stack bloat

Data & Engineering teams can spend time working to solve business challenges instead of managing pipelines and attending to broken connectors.

Shift data observability left

Data quality checks at ingestion and reverse ETL - catch errors and anomalies early.

Enhanced security & governance

Reduce vulnerabilities by reducing the number of tools you are using. Complete with RBAC, SOC 2 and more.

Faster onboarding& scalability

Less of the need to implement new tools means systems can grow with the users.

Ingestion

Reliable data pipelines at your fingertips

Send data to your warehouse and data lake - fast. Best-in-class database replication and saas replication with pre-built connectors.

Reduce fault tolerance by up to 80%
Increased data replication speed, from Postgres to Mongdb
Built-in observability at ingestion

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Reverse ETL

Lightning fast data activation

Warehouse, meet saas tools. Push data into SaaS tools to personalize campaigns and fill in data holes. Your marketing and ops teams will love you.

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Observability

Data integrity you can stand behind

From anomaly detection to quality measurement, feel good about the data your team is delivering. Monitor and triage at earlier points in the data lifecycle.

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Catalog

Make leveraging data across the business like window shopping

Your single source of truth. Enhance data use cases, even for non-technical users. Understand your data lineage.

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Deeply integrated with dbt for your transformation needs

Monitor DBT runs, exposures, tests and manage your schema.yml with ease. Streamline DataOps processes with automatic Github Actions on the impacted models.

Your platform forend-to-end data needs