ETL & Data Pipelines Software

Dynamically query APIs, code, and cloud resources with SQL for Zero-ETL insights.

In-process analytics database

High-performance observability pipeline

Open-source data collector for unified logging

Open-source data integration platform

Open-source data integration framework

Real-time analytics database for high-speed queries

Collect, validate, and deliver schematized data to any destination with minimal infrastructure.

Build and manage real-life ML, AI, and data science projects with ease.

Ingest data from any source to any destination with simple command-line flags.

A general-purpose framework to write dataflows using regular Python functions.

Unified API for B2B financial products, streamlining integrations across accounting, commerce, payments, and ads.

Real-time data lineage and metadata management for complex data ecosystems.

An open-source framework for building production-ready data engineering and data science pipelines.

Open-source MLOps orchestration for managing ML and generative AI applications across their lifecycle.

Query petabytes of data across diverse sources with lightning-fast, open-source SQL.

Embedded Datalog database for performant graph data and relational queries.

Transactional catalog for data lakes with Git-like semantics for consistent data views.

Build ultra-fast, reliable observability pipelines to collect, transform, and route all your data.

Open-source data discovery and metadata engine for enhanced data trust and productivity.

The open-source feature store for high-scale, production-ready AI and LLM applications.

A declarative connector framework for resilient, stateless data processing pipelines.