Ingest data from any source
to any destination

Ingest from any source, including SaaS applications, databases, spreadsheets, proprietary data, or information scraped off the web. Use pre-built connectors or create your own using custom APIs.

Compatible with all leading cloud data warehouses, including Snowflake, Databricks Delta Lake, Amazon Redshift. Azure Synapse, and Google BigQuery.

Extract and store popular data formats like JSON, CSV, AVRO, and Parquet, or easily build your parsers for custom data formats.

It’s fast, simple, and efficient

Build ingestion applications 10x faster than traditional tools. Just follow Gathr’s step-by-step approach, configure the settings, and get robust pipelines up and running in minutes.

Use Gathr’s native connectors to swiftly move data from any source to any target destination. Effortlessly bring all your data together in one place to move work forward.

Take advantage of Gathr’s minimal learning curve – enable both tech and non-tech users to build ingestion pipelines. Significantly reduce efforts and achieve results in minutes, not weeks.

Minimize maintenance hassles,
maximize productivity

Automatically get an accurate, metadata-driven schema as soon as you load data from any source. Save hours of effort with automated data validation.

Fix any errors with a connector or destination easily in just a few clicks. Resolve common problems instantly, without the need for any coding or IT intervention.

Leverage built-in automation capabilities to predict, detect, and resolve pipeline issues on time. Build and operate smart, fault-free data pipelines with complete peace of mind.

Expert Opinion

Gathr is an end-to-end, unified data platform that handles ingestion, integration/ETL (extract, transform, load), streaming analytics, and machine learning. It offers strengths in usability, data connectors, tools, and extensibilty.

Customer Speak

Gathr helped us build “in-the-moment” actionable insights from massive volumes of complex operational data to effectively solve multiple use cases and improve the customer experience.

Meet Gathr.

The only all-in-one data pipeline platform

  • One platform to do it all - ETL, ELT, ingestion, CDC, ML
  • Self Service, zero-code, drag and drop interface
  • Built-in DataOps, MLOps, and DevOps tools
  • Cloud-agnostic and interoperable
  • Data

  • Change Data

  • ETL/ELT Data

  • Streaming

  • Data

  • Machine

Why Gathr


reasons to upgrade to Gathr

Up your ETL game today.

Take it for a spin or get a 1:1 personalized demo


Unified data integration platform

Unified Data Integration platform

A unified data integration and transformation tool for ETL, ELT, Reverse ETL, CDC, real-time analytics


Built-in machine learning

Built-in machine learning

Enrich data streams and enable advanced analytics with built-in drag-and-drop ML capabilities


Best-in-class streaming analytics

Best-in-class streaming analytics

Analyze the current moment now by integrating batch, micro-batch and streaming data


Self-service, zero-code

Self-service, zero-code

Simple, from start to end – empower tech and non-tech users to build, deploy and manage pipelines in few clicks




Break silos by enabling data engineers, data scientists & ops engineers to collaborate on a single platform


Built-in XOps

Built-in XOps

Accelerate the entire analytics lifecycle using built-in DataOps, MLOps and DevOps capabilities




Get production-ready output from day 1 - extensively tested for scale, security, and stability


Open and extensible

Open and extensible

Quickly adapt to changing technologies with an open and extensible architecture




Designed and built to run in any cloud environment including multi-cloud and hybrid-cloud setup


Lowest TCO

Lowest TCO

TCO less than cost of 1 skilled data engineer – choose from free/ flat/ consumption-based pricing models

Customer Stories

Powering breakthrough success

Learning and Insights

Stay ahead of the curve

Q&A with Forrester

Building a modern data stack: What playbooks don’t tell you


4 common data integration pitfalls to avoid


Why modernizing ETL is imperative for massive scale, real-time data processing

Fireside Chat

Don’t just migrate. Modernize your legacy ETL.

Data integration just got free – forever

Choose between fully-managed SaaS or customize according to your requirements

Start your free trial Schedule a demo