WHY IT MATTERS
You get the best of all worlds
Unified platform for all your data integration needs
Handle all use cases – ETL, ELT, batch, or real-time
Self-service, drag-and-drop UI
Create end-to-end ‘data to action’ pipelines with an easy-to-use interface
Built in DataOps, MLOps, and DevOps tools
Streamline and accelerate your entire analytics lifecycle
Open, flexible, and interoperable
Innovate quickly and adapt to ever-changing technologies and markets
Zero upfront costs and virtually maintenance free, pay only for what you use
No need to maintain any hardware, servers, or infrastructure
Easily integrate with any third party tools or services
Seamlessly scale up or down to manage changing volume peaks
Your storage and compute reside within your own cloud environment, which means your confidential data never leaves network boundaries
Use multiple, region-specific cloud environments (AWS, Azure, or GCP) and keep your data local to ensure regulatory compliance
Ensure faster data processing by keeping your data closer to the compute and reducing data movement
Maximize ROI on your cloud investments by leveraging existing resources and saving up to 30% on ETL costs
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 maintenance, 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.