Real-time database replication for
real-time insights

Build CDC applications in minutes using
built-in templates

Easily create apps using a wizard-based assistant

Save 70% development time and effort

Capture databases changes continously

Choose from multiple CDC modes

Enable real-time data warehousing

Seamlessly sync any source with any target

Monitor multiple CDC jobs with ease

Ensure reliable data transfer with zero loss

Legacy Change Data Capture platform failing you?

Upgrade your data engineering with next-gen unified data pipelining platform

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Keep your data complete, accurate, and up to date

Use Gathr’s zero-code, drag-and-drop visual interface and pre-built templates to quickly build CDC apps for any use case.

Read changes to both batch and streaming data and push live updates to your data warehouse or lake.

Develop, operationalize, and monitor CDC jobs, with complete visibility of execution time, events, historical runs, and more.

Upgrade your data engineering with next-gen
unified data pipelining platform

  • Zero-code
  • Self-service
  • Fully-automated
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Next-gen platform for
CDC use cases

Supports all popular sources and targets, reads both batch and streaming data in any format.

Gathr automatically validates CDC prerequisites and performs comprehensive checks on the database to maintain ACID reliability.

Built-in mechanism to group CDC tables into one or more jobs for efficient resource utilization.

Multiple CDC modes, ability to choose table and schema attributes, file-based partitioning, and more.

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.