Get Almost Endless Scalability with NoSQL/NewSQL Data Stores

Forrester claims that 60 to 90% of database performance issues are related to the use of SQL. Excessive amounts of data result in application time-outs, slow response times, and overall user dissatisfaction. NoSQL and NewSQL solutions were designed to address the shortcomings of RDBMS technology by introducing a schemaless approach, automatic sharding, distributed query support, and integrated caching.

Enable distributed computing and advanced analysis

Serving technology clients, such as Joyent, Couchbase, RightScale, NuoDB, and others, Altoros can help you to add scalable NoSQL/NewSQL cloud storage to your existing system to help you build enterprise-level data storage solutions.

Build a scalable DB for your load type

Find the most appropriate solution for your particular type of load through feasibility studies and benchmarking.

Speed up data mining/processing

Eliminate performance issues with functional and non-functional optimization. Enable distributed data processing to get results faster.

Extract hidden value from your data

Implement enhanced data analysis, statistics calculations, visualization, and search/filtering.

Building enterprise-level data storage systems since 2001

Altoros is a 250+ team across 8 locations (California, Massachusetts, Norway, Denmark, the UK, Switzerland, Argentina, and Eastern Europe)
A portfolio of 50+ projects that use MongoDB, Cassandra, HBase, Couchbase, Riak, Amazon Dynamo, Google BigTable, and other NoSQL/NewSQL systems.
Our R&D engineers performed multiple benchmark studies of NoSQL and cloud solutions published by CIO.com, NetworkWorld, ComputerWorld, TechWorld, and other industry magazines.
Flexible engagement models according to your project needs