Clean, enrich, and analyze massive-scale data
Turn data into action with next-gen
Connect to a wide variety of batch & streaming sources
Ingest, prepare, and transform data 10x faster
Easily create scalable pipelines with a visual UI
Build and train ML models for advanced analytics
Set automated real-time alerts and action triggers
Visualize insights in real-time with built-in dashboards
Detect patterns, spot trends, take better decisions
Take immediate action on critical customer moments
10x faster processing powered by Spark
Create batch and streaming data pipelines easily with a visual, no-code interface. Empower analysts to build pipelines regardless of skillsets.
Use Gathr’s native connectors to get started in just a few clicks. Process any data format – CSV, JSON, XML, AVRO, Parquet, ORC, TAP, fixed length data, and more.
Use Gathr's powerful compute engine to effortlessly process more than 1 million events per second – both on-premises and in the cloud.
Up your analytics game with support for ML, natural language processing, anomaly detection, geospatial analytics, predictive modelling, and more.
Simplify stream processing and save development effort
Use pre-built operators to join data from multiple connectors and design SQL join queries without manual coding. Or write custom SQL queries for complex use cases.
Easily configure auto-scaling for all your pipelines. Optimize resource utilization based on conditions like memory, load, container availability etc.
Replace out-of-order/missing data with Gathr’s built-in imputation functionality. Use advanced lookups and table processers to enrich incoming streams.
Leverage our built-in checkpointing mechanism to ensure high availability and fault tolerance. Choose from multiple disaster recovery options to prevent data loss.
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.