Cope with Ever-growing Big Data—Before It Is Too Late

Cope with Ever-growing Big Data—Before It Is Too Late

Hard to capture, difficult to analyze, and expensive to store—big data causes application time-outs, slow response times, and increased database ownership costs. But harnessing large amounts of unstructured information is only half of the problem. To stay competitive, you still need to use the full potential of your data. Those who fail to do this risk making important business decisions using incomplete information, miss multiple opportunities, and lose their competitive advantages.

Optimize your system to sustain extreme loads

Serving technology leaders, such as Couchbase, RightScale, NuoDB, Joyent, and others, Altoros helps customers to address big data needs related to data mining, analysis, scaling, etc. You can improve performance by implementing scalable NoSQL data stores and distributing the load with Hadoop-based solutions.

Implement a faster database Speed up reading and writing data by augmenting your system with extremely fast, schemaless NoSQL/NewSQL data stores.
Speed up data analysis Accelerate data processing with Hadoop distributed computing. Reduce TCO by automating deployment, administration, and performance monitoring.
Efficiently visualize the results Extract more value from your data faster by focusing on the most important things with advanced visualization and statistics.
Tune up scalability Expand your cloud storage indefinitely or shrink as your load changes. Deploy, administer, and monitor large clusters with custom scripting and server templates.
Benchmark against competitors Prove your system is ready for big data with vendor-independent benchmarking against competitors on dozens/hundreds of servers—depending on expected loads.

10+ years of experience in building large-scale systems:

View all featured Big Data projects

  • Extensive experience in NoSQL/NoSQL and cloud technologies (Hadoop, MongoDB, Cassandra, HBase, Couchbase, Riak, Amazon Dynamo, Google BigTable, and other big data tools)
  • Our R&D engineers performed multiple benchmarks of popular NoSQL and cloud solutions published by, NetworkWorld, ComputerWorld, TechWorld, and other online magazines.
  • Get access to 100+ professional mathematicians and data scientists who work for the most reputable universities in Eastern Europe.
  • Vast expertise in building large-scale distributed computing solutions—the largest cluster deployed by Altoros’s engineers consisted of 400+ nodes

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