Overview
Overall experience with Apache Ignite
“Simple but costly In-Memory engine.”
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Key Insights
A Snapshot of What Matters - Based on Validated User Reviews
Reviewer Insights for: Apache Ignite
Performance of Apache Ignite Across Market Features
Apache Ignite Likes & Dislikes
Apache Ignite tands out for its performance, scalability and ease of use in managing high-load applications.
1) In-memory support with spill-to-disk option 2) ACID capability 3) Increase the compute(elastic behaviour) without any downtime.
Documentation and Learning Curve Resource Intesive - requireing significant memory allocation, which might not be fasible for all projects or smaller organizations. Sometimes issue with troubleshooting and support from community
1) Support was not very responsive even though the GitHub issues were addressed very late 2) A costly solution in terms of RAM needs further optimizations 3) Integration with Modern data formats like Delta, and Apache Arrow is missing
Top Apache Ignite Alternatives
Peer Discussions
Apache Ignite Reviews and Ratings
- Principal Engineer10B+ USDIT ServicesReview Source
Simple but costly In-Memory engine.
At one point in time I was working on the Data-Warehouse solution there were a few reporting queries that needed to be addressed in low latency and we have evaluated Apache ignite where it's a distributed in-memory solution that has raised the performance of queries. - PROJECT MANAGER50M-1B USDIT ServicesReview Source
High-Performance In-Memory Solution with Scalability
I've found it to be highly efficient and scalable platform. Its in-memory computing capabilities offer exceptional speed for both transcational and analytical workloads. I have been particularly impressed with its scalability; adding nodes to the cluster seamelessly increase capacity.


