IN THE SPOTLIGHT
Top-rated streaming analytics platforms
Gathr named among top 14 streaming analytics providers in the latest Forrester Wave report.
Data integration just got free – forever
Build data ingestion, change data capture and ETL pipelines for free, with our forever-free plan
Bring your own cloud (BYOC) to our SaaS
Keeping your data local while enjoying the freedom of a modern SaaS ETL platform
“In-the moment” actionable analytics
Fireside chat with United airlines and Forrester: Flying higher and farther with data
The only all-in-one data pipeline platform
Built ground-up for a cloud-first world, Gathr is the only platform to handle all your data integration and engineering needs - ingestion, ETL, ELT, CDC, streaming analytics, data preparation, machine learning, advanced analytics and more. With Gathr, anyone can build and deploy pipelines in minutes, irrespective of skill levels.
Gathr helped us power “in-the-moment” actionable insights from massive volumes of complex operational and digital interaction data.
Sarang Bapat, Sr. Manager Innovation & Modernization
Gathr helped us replace 1.5M lines of code through its visual interface.
Anubha, Marketing Director
Leveraging Gathr, we were able to build our use case and make it production-ready in 2 weeks – a process that would otherwise have taken us 3 months.
VP, Business Intelligence,
Fortune 100 cable television provider
Gathr helped us identify anomalies in our incoming data in real-time. It helped us scan ~10k applications for any abnormal user behaviour.
Director of Analytics,
Fortune 500 multinational bank
Gathr helped us stream and analyze large amounts of data and identify customers most likely to convert.
Software Engineering Director,
Fortune 500 financial services company
Gathr plugs the middle layer to “hydrate” our data lake from various systems – traditional, legacy and mainframe alike.
Senior Manager, Data & Insights,
Fortune 500 global investments company
Gathr has brought all our data scientists on a single platform to design, train and score machine learning models more efficiently.
Head of Data Science,
Fortune 500 multinational bank
Modernize your data engineering
Unified DI with drag-and-drop ML
Modern cloud-native architecture
Templatized app for ingestion and CDC
300+ pre-built connectors & operators
Batch and real-time data integration
Full automated data pipelines
Workflow and pipeline orchestration
Troubleshoot with clicks, not code
Built-in DataOps and MLOps tools
Enterprise-grade stability, reliability and security
Open, 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
Build 'data-to-action' pipelines
Easily build end-to-end data pipelines and enable diverse business solutions and use cases
Upsell and cross-sell
Upsell and cross-sell
Sales Conversion Analysis
Net Promoter Score
Customer Effort Score
Service call analytics
Call intent analysis
Intelligent call routing
Customer satisfaction score
Insider fraud detection
Credit card fraud detection
Frictionless customer journeys
Emerging risk management
Market risk management
Real-time transaction screening
Aircraft airworthiness detection
Engine data monitoring
Operations room monitoring
Competitive dynamic pricing
Personalized product suggestions
Data quality management
Customer and retention
Personalized medication and care
Predictive equipment maintenance
Drug delivery optimization
Diagnostic error prevention
Medical imaging insights
Gene analytics and editing
Tool life prediction
Risk and compliance management
Legacy ETL modernization
Migrate data to the cloud
Migrate legacy apps to Spark
DataOps and MLOps
Data lake hydration
Gathr is an end-to-end, unified data platform for ingestion, integration/ETL, streaming analytics, and machine learning. It offers strengths in usability, data connectors, tools, and extensibilty.
Gathr offers a wide-ranging data pipeline solution. It combines the strengths of open source with the reliability and support of an enterprise solution, in the cloud, and at scale, while also offering significant ease of use, integration, and SaaS capabilities, among other things.
Enterprises that need a single visual platform leveraging popular open source, big data platforms for streaming ETL and advanced analytics, and that is accessible to business and technical users, should evaluate Gathr.
Best big data analytics product or technology for real-time analytics
One of the Key Event Stream Processing Platforms
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.
Watch Gathr in action
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.