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ScimoreDB Distributed Database

ScimoreDB Distributed is a database network solution using ScimoreDB Servers. Distributed scenario scales out up to very high performance peaks and large server farms to meet the demand of even the most performance-critical systems.

Design your application for a single ScimoreDB Server. When your application needs, install more ScimoreDB Servers and join the ScimoreDB servers into a cluster. ScimoreDB Distributed will now automatically distribute your data and SQL queries over all the machines in the cluster, without rewriting a single line of code.

ScimoreDB is designed to take on processing challenges and grow by scaling out. ScimoreDB Distributed has been tested with TPC-C benchmark and the performance was 160.000 queries per second for a relatively small scaled-out deployment scenario of 31 machines, with absolutely no data loss.

One of the major advantages of ScimoreDB Distributed, is the non-existing learning curve. You can take standard SQL applications, and they will work in the distributed environment.

ScimoreDB supports all key database technologies including transactions, SQL, OLAP/OLTP queries, and data replication providing you with all the solutions you need to govern your business.

Moreover, by deciding on ScimoreDB Distributed you get an elegant solution with constant updates and support by a stable company. We offer our advice while choosing, deploying and maintaining your database. Even ScimoreDB Distributed is a solution easy to control we offer further training for Your IT staff to keep them in pace with your database upgrade.

Top reasons to use ScimoreDB Distributed

  • Supports large number of updates/queries (150.000+ queries/s)
  • Big scaling benefits for OLAP queries
  • Easily query large data volumes
  • Add more machines to your database cluster, when your requirements grow
  • Significantly cheeper than similar solutions from expensive vendors
  • Use cheap of the shelve hardware
  • Standard interfaces - SQL & .NET Data provider
  • Write for single machine, but scale over many
  • Very small learning curve
  • Save time on writing complex distribution framework
  • Remove dependency on employee's who builds a home brew scaling solution
  • Quick access to support, periodic update and new versions