Facing challenges with resource allocation of Hive LLAP and Sparkline queries, a Fortune 50 company has decided to use AccelData and optimize it's AWS based operations.
One of the fastest growing mobile payments application is solving it's real-time Hbase performance issues using AccelData. Audited transaction volumes run over 100m.
We're optimizing capacity usage for one of the largest ad-networks. Identifying unused capacity, matching appropriate workloads and incidents have helped the customer to add more business processes.
1000 node Datalake was always running at 100% load, with jobs running for over 17hours. Data layout recommendations, coupled with query changes enabled them to take control of the resource usage.