Effortlessly integrate diverse data from
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
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.
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.
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.
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
reasons to upgrade to Gathr
Up your ETL game today.
Take it for a spin or get a 1:1 personalized demo
Powering breakthrough success
Leading auto insurance provider
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 maintainence, and ensure fault-free production.
Fortune 500 Bank
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.
Major US airline
Superior omni-channel customer experience
Delivered proactive insights to help contact center representatives present customers with relevant and personalized offers across multiple channels.
Fortune 500 mortgage lender
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.
Cable TV and telecom provider
360-degree view of the customer
Enabled micro-segmentation and targeting, dynamic marketing campaigns, proactive error resolution, and contextualized customer service in real-time.
Communication analytics company
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.
LEADING U.S. CALL CENTER
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.
TOP U.S. TELECOM PROVIDER
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.
Leading Wireless & Telecom Service Provider
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.
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
Don’t just migrate. Modernize your legacy ETL.