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.
Get Almost Endless Scalability with NoSQL/NewSQL Data Stores
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