Effortlessly integrate diverse data from
multiple sources

ETL, ELT, reverse ETL – do it all

Streaming and batch ETL/ELT

Built in drag-and-drop ML

Native connectors for all sources & targets

300+ pre-built operators

Data transformation in real-time

Advanced orchestration capabilities

Automated schema detection

DataOps, MLOps, and DevOps tools

Existing ETL data data integration tool not up to the mark?

Upgrade to modern unified data pipelining platform

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Self-service, drag-and-drop ETL

Create data integration pipelines in minutes with Gathr’s easy-to-use, visual, drag-and-drop UI. Avoid complex setup hassles and effortlessly cleanse, enrich, and blend data with 300+ built-in operators.

Enjoy the flexibility of no-code, low-code, and pro-code on a single ETL platform. Empower data analysts to easily unearth insights, while simultaneously enabling tech users to write custom queries and solve complex use cases.

Save hours of development effort with Gathr’s patented extensibility – reuse datasets and custom components across applications. Enable all your teams to work with familiar tools and languages (Notebook, SQL, etc.).

Powerful transformation capabilities

Combine different datasets and perform complex transformations – all while ensuring data quality. Enable your ML teams to put large, curated datasets to work.

Use out-of-the-box capabilities to build statistical models (for classification, forecasting, outlier detection, etc.). Discover fresh insights from your data to fuel growth.

Experience 10x faster data processing, powered by Apache Spark. Seamlessly process as many as 1Mn+ events per second – both on-premises and in the cloud.

Maximize productivity, minimize hassles

Automatically get an accurate, metadata-driven schema as soon as you load data from any source. Save time and effort with automated data validation and pipeline inspection.

Build reliable, fault-tolerant ETL/ELT pipelines with ease. Handle errors seamlessly, respond to failures faster, and prevent any downstream issues.

Create batch and streaming data pipelines easily with a visual, no-code interface. Empower analysts to build pipelines regardless of skillsets.

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.