DBMS > Kinetica vs. Quasardb vs. TimesTen
System Properties Comparison Kinetica vs. Quasardb vs. TimesTen
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|Editorial information provided by DB-Engines|
|Name||Kinetica Xexclude from comparison||Quasardb Xexclude from comparison||TimesTen Xexclude from comparison|
|Description||Fully vectorized database across both GPUs and CPUs||Distributed, high-performance timeseries database||In-Memory RDBMS compatible to Oracle|
|Primary database model||Relational DBMS||Time Series DBMS||Relational DBMS|
|Secondary database models||Spatial DBMS|
Time Series DBMS
|Developer||Kinetica||quasardb||Oracle, TimesTen Performance Software, HP originally founded in HP Labs it was acquired by Oracle in 2005|
|Current release||7.1, August 2021||3.13.3, April 2022||11 Release 2 (22.214.171.124.0)|
|License Commercial or Open Source||commercial||commercial Free community edition, Non-profit organizations and non-commercial usage are eligible for free licenses||commercial|
|Cloud-based only Only available as a cloud service||no||no||no|
|DBaaS offerings (sponsored links) Database as a Service|
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|Implementation language||C, C++||C++|
|Server operating systems||Linux||BSD|
|Typing predefined data types such as float or date||yes||yes integer and binary||yes|
|Secondary indexes||yes||yes with tags||yes|
|SQL Support of SQL||SQL-like DML and DDL statements||SQL-like query language||yes|
|APIs and other access methods||JDBC|
RESTful HTTP API
Oracle Call Interface (OCI)
|Supported programming languages||C++|
|Server-side scripts Stored procedures||user defined functions||no||PL/SQL|
|Triggers||yes triggers when inserted values for one or more columns fall within a specified range||no||no|
|Partitioning methods Methods for storing different data on different nodes||Sharding||Sharding consistent hashing||none|
|Replication methods Methods for redundantly storing data on multiple nodes||Source-replica replication||Source-replica replication with selectable replication factor||Multi-source replication|
|MapReduce Offers an API for user-defined Map/Reduce methods||no||with Hadoop integration||no|
|Consistency concepts Methods to ensure consistency in a distributed system||Immediate Consistency or Eventual Consistency depending on configuration||Immediate Consistency||Immediate Consistency or Eventual Consistency depending on configuration|
|Foreign keys Referential integrity||yes||no||yes|
|Transaction concepts Support to ensure data integrity after non-atomic manipulations of data||no||ACID||ACID|
|Concurrency Support for concurrent manipulation of data||yes||yes||yes|
|Durability Support for making data persistent||yes||yes by using LevelDB||yes by means of logfiles and checkpoints|
|yes GPU vRAM or System RAM||yes Transient mode||yes|
|User concepts Access control||Access rights for users and roles on table level||Cryptographically strong user authentication and audit trail||fine grained access rights according to SQL-standard|
More information provided by the system vendor
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