Build 'data to action' pipelines

Gathr is the only unified platform to tackle all your data integration and engineering needs, including ETL, ELT, reverse ETL, ingestion, CDC, streaming analytics, machine learning, and more. With Gathr, anyone can build, deploy, and manage end-to-end pipelines with ease.

A truly unified platform

No more hassles of multiple products and developer re-skilling/ up-skilling

  • Simplify DI with 300+ pre-built operators, drag and drop UI, and wizard assistance
  • Easily create ETL, ELT, reverse ETL, ingestion, CDC, batch & streaming pipelines
  • Perform data enrichment, data prep, data quality checks, and more
  • Supports all popular data sources, targets, and formats

Built-in drag-and-drop ML

The only data integration platform with drag-and-drop ML capabilities

  • Instant access to massive, curated data sets for faster model building
  • Model scoring and training for streaming and batch use cases
  • 360-degree visibility into data acquisition and processing
  • Accelerate MLOps adoption across enterprise teams

Best-in-class streaming analytics

Get mission-critical insights from your data in real-time

  • Filter, enrich, analyze, and visualize data from multiple sources
  • Transform both batch and streaming data into insights
  • Develop advanced real-time streaming analytics applications
  • Identify patterns and detect opportunities to act ‘in the moment’

Simple, from start to end

Build and deploy advanced data pipelines in minutes, not weeks

  • Self-service, zero-code, drag-and-drop visual interface
  • See the changes made to your data with each pipeline iteration
  • Debug and maintain pipelines in just a few clicks
  • Drive productivity gains of up to 10x
  • Empower non-tech users like analysts to build data pipelines
  • Develop data engineering and processing apps in days instead of months

Highly collaborative

Bring your data scientists, data engineers, and Ops engineers together on one platform

  • Enable all users to work on familiar tools like Notebook and SQL
  • Empower analysts to build pipelines, irrespective of tech skills
  • Leverage built-in artifact orchestration tools to reduce time to market
  • Work on parallel streams, eliminate cumbersome, sequential hand-offs

Built-in XOps

Tap the benefits of DataOps, DevOps, MLOps, AIOps, and more

  • Leverage a powerful, built-in framework for operationalizing data flows
  • Set up your entire DataOps process blueprint from the get-go
  • Do it all - versioning, test cases, CI/CD, and monitoring
  • Simplify pipeline and application maintenance and audits

Enterprise-grade

Experience unmatched performance, scale, and stability from day one

  • Extensively tested by an army of seasoned engineers
  • Regular product upgrades and enhancements
  • Greenlight uses cases into production faster than ever
  • Prompt support and resolution of technical debt

Open and extensible

Build a future-ready tech stack to stay ahead of the curve

  • Tap the benefits of both open-source and enterprise-grade technology
  • Patented extensibility to reuse custom components across use cases
  • Innovate quickly and easily navigate the ever-changing data landscape

Cloud-agnostic

Realize your data engineering goals on any cloud environment

  • Support for leading platforms like AWS, Azure, GCP, and others
  • Flexibility to work on any-cloud, multi-cloud, or hybrid-cloud environments
  • Tech-agnostic starter kits for common problem patterns in CDC and DQM
  • Build pipelines once and deploy on any cloud with Gathr’s interoperability

Lowest TCO

Gathr costs companies less than the TCO of a single skilled data engineer

  • Design your pipelines and experiment for free
  • Flexible pricing (flat/pay-as-you-go) and ownership models
  • SaaS version costs start as low as $0.007 per core per min
  • 30% additional cost savings with the option to bring your own cloud (BYOC)

Awesome for users, incredible for business

Ensure 10x more productivity

Slash development time from months to days

Focus on business, not engineering challenges

Speed up innovation and time to market

Adapt to changing markets and technologies

Zero upfront cost and pay-per-use pricing

Customer Speak

Use Cases

Build 'data-to-action' pipelines

Easily build end-to-end data pipelines and enable diverse business solutions and use cases

Customer Stories

Powering breakthrough success

Driver profiling and risk assessment

Built an end-to-end analytics application to analyze telematics data in real-time and offer customers dynamic, usage-based insurance plans.

Pre-emptive fault detection in auto parts

Implemented a pre-emptive fault detection solution to help predict malfunction of auto parts, enable on-time maintenance, and ensure fault-free production.

Real-time insider threat detection

Used predictive analytics and machine learning to automatically detect threat scenarios and raise alerts for preventing predicted breaches across sensitive applications.

Superior omni-channel customer experience

Delivered proactive insights to help contact center representatives present customers with relevant and personalized offers across multiple channels.

Real-time business activity monitoring

Enabled 10x faster data processing and efficient, near real-time KPI tracking with an end-to-end solution for data ingestion, transformation, enrichment, and analysis.

360-degree view of the customer

Enabled micro-segmentation and targeting, dynamic marketing campaigns, proactive error resolution, and contextualized customer service in real-time.

Processed 1.5 billion events per day

Modernized legacy ETL frameworks to process over 1.5 billion user interactions per day from multiple real-time feeds and reduce the overall release cycle time.

Real-time call monitoring solution

Improved performance metrics such as call abandonment rate, average speed of answer, and average call length by monitoring call activities in real-time.

Real-time multi-lingual sentiment analysis

Enabled rapid and accurate real-time text categorization and multi-lingual sentiment analysis for massive volumes of data from diverse sources.

Call center agent monitoring solution

Reduced annual call center costs by $5M and improved agent productivity by tracking desktop activities of call center representatives in real-time.

Expert Opinion

IN THE SPOTLIGHT

Learning and Insights

Stay ahead of the curve

Q&A with Forrester

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

Blog

4 common data integration pitfalls to avoid

Blog

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

Fireside Chat

Don’t just migrate. Modernize your legacy ETL.