GridGain Systems, Inc.
15 reviews
- 1 profiles
- 4 categories
Average star rating
4.6
Serving customers since
2007
All Products & Services
GridGain Systems, Inc. Reviews
PA
Peter A.
High-speed data processing and analytics for our AI and ML models
We have been working with GridGain for about a year to help us continuously train our AI and ML models. Their Continuous Learning Framework supports machine learning and deep learning model training on operational data, with built-in machine learning libraries that facilitate training models using real-time data. GridGain also provides us with high-speed data processing and analytics, and near-linear scalability which have been key to helping us handle large datasets and perform the complex computations required in AI and ML training.
CI
Verified User in Information Technology and Services
GridGain for modern event stream processing
- In-stream analystics and transaction processing all in-memory
- transaction persistence to disk
- in-memory first architecture
- high-performance at very low latency
- outstanding professional services and customer support
- new v8.9 integrations with Parquet files, Iceberg tables, and JSON documents
JL
Janey L.
Owner, Agile Pixel Studiohigh performance, scalable
GridGain has enabled us to process and analyze large datasets much more rapidly than traditional disk-based systems. GridGain’s ability to scale horizontally allows us to handle increasing loads by simply adding more nodes to the cluster. By using GridGain as a caching layer, we've seen improvements in the performance of our customer-facing applications. Additionally, GridGain's support for SQL queries on cached data is awesome.
About
What is GridGain Systems, Inc.?
GridGain Systems, Inc. is a technology company that specializes in in-memory computing solutions. Their flagship product, the GridGain In-Memory Computing Platform, enhances data processing speeds and enables real-time analytics by leveraging in-memory storage and distributed computing. GridGain's solutions are designed to integrate seamlessly with existing databases and frameworks, providing businesses with the ability to handle large-scale data workloads efficiently. The company serves various industries, helping organizations improve performance and scalability in their data-driven applications. For more information, visit their website at https://www.gridgain.com/.
Details
Year Founded
2007
Website
www.gridgain.com