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Defining future database technology: DVTDS 3.8

DVTDS stands for Distributed Virtual Transaction Data Server. It is the next - generation object database developed for enterprise level real time applications. It offers reliable operation by geo - redundant multi master replication and distributed transactions. Data model virtualization lets you decouple logical (application side) data models from the physical (server side) data model, thus enabling a multitude of applications working on a central, shared and consistent data set. By its extreme efficieny it delivers responses within twenty micro seconds. Its internal multi threaded design scales to more than a million operations per second (read / write) per node already on entry - level server hardware. Linear scaling to even more throughput is easy by coupling multiple nodes to a distributed system.

Besides working as a distributed system single DVTDS nodes may also serve as storage back ends of other database products. This applies to an entire class of database products that have a two layer architecture where front end nodes (the access layer) handle the client communication and back end nodes (persistency layer) the actual storage. Usually they rely on standard components like MySQL, MariaDB, PostGres or Redis. They may replace their back ends with DVTDS when higher performance and advanced features like data views, transactions, triggers or hybrid storage are required. Especially for SDM systems in 4g / 5G telecommunication environments this is most useful. Currently they need to convert client requests incoming at their LDAP interface into something that is understood by their relational table based back ends. With DVTDS as storage engine they can use the native LDAP protocol. This simplifies the access layer logic a great deal. In addition to standard LDAP server functionality the product offers many advanced features. Our guided tour offers an illustrated presentation of these capabilities:

  • Data view technology
  • Free configurable triggers
  • Trigger view technology
  • Synchronous or asynchronous replication
  • ACID transactions
  • Time to live for selectable data
  • Flexible hybrid in memory / on disk storage
  • Data federation to third party systems
  • Unlimited scalability
  • Tunable consistency
  • High speed data analytics interfaces
  • Online administration - no downtime
  • Attribute level history