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DBMS > Kinetica vs. Quasardb vs. RavenDB vs. Transwarp Hippo

System Properties Comparison Kinetica vs. Quasardb vs. RavenDB vs. Transwarp Hippo

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Editorial information provided by DB-Engines
NameKinetica  Xexclude from comparisonQuasardb  Xexclude from comparisonRavenDB  Xexclude from comparisonTranswarp Hippo  Xexclude from comparison
DescriptionFully vectorized database across both GPUs and CPUsDistributed, high-performance timeseries databaseOpen Source Operational and Transactional Enterprise NoSQL Document DatabaseCloud-native distributed Vector DBMS that supports storage, retrieval, and management of massive vector-based datasets
Primary database modelRelational DBMSTime Series DBMSDocument storeVector DBMS
Secondary database modelsSpatial DBMS
Time Series DBMS
Graph DBMS
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.42
Rank#261  Overall
#120  Relational DBMS
Score0.13
Rank#332  Overall
#28  Time Series DBMS
Score2.68
Rank#102  Overall
#19  Document stores
Score0.00
Rank#385  Overall
#16  Vector DBMS
Websitewww.kinetica.comquasar.airavendb.netwww.transwarp.cn/­en/­subproduct/­hippo
Technical documentationdocs.kinetica.comdoc.quasar.ai/­masterravendb.net/­docs
DeveloperKineticaquasardbHibernating Rhinos
Initial release2012200920102023
Current release7.1, August 20213.14.1, January 20245.4, July 20221.0, May 2023
License infoCommercial or Open Sourcecommercialcommercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licensesOpen Source infoAGPL version 3, commercial license availablecommercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC, C++C++C#C++
Server operating systemsLinuxBSD
Linux
OS X
Windows
Linux
macOS
Raspberry Pi
Windows
Linux
macOS
Data schemeyesschema-freeschema-free
Typing infopredefined data types such as float or dateyesyes infointeger and binarynoVector, Numeric and String
XML support infoSome form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.nonono
Secondary indexesyesyes infowith tagsyesno
SQL infoSupport of SQLSQL-like DML and DDL statementsSQL-like query languageSQL-like query language (RQL)no
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
HTTP API.NET Client API
F# Client API
Go Client API
Java Client API
NodeJS Client API
PHP Client API
Python Client API
RESTful HTTP API
RESTful HTTP API
Supported programming languagesC++
Java
JavaScript (Node.js)
Python
.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
.Net
C#
F#
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
C++
Java
Python
Server-side scripts infoStored proceduresuser defined functionsnoyesno
Triggersyes infotriggers when inserted values for one or more columns fall within a specified rangenoyesno
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoconsistent hashingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationSource-replica replication with selectable replication factorMulti-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnowith Hadoop integrationyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyDefault ACID transactions on the local node (eventually consistent across the cluster). Atomic operations with cluster-wide ACID transactions. Eventual consistency for indexes and full-text search indexes.Immediate Consistency
Foreign keys infoReferential integrityyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACID, Cluster-wide transaction availableno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes infoby using LevelDByesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infoGPU vRAM or System RAMyes infoTransient modeyes
User concepts infoAccess controlAccess rights for users and roles on table levelCryptographically strong user authentication and audit trailAuthorization levels configured per client per databaseRole based access control and fine grained access rights

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More resources
KineticaQuasardbRavenDBTranswarp Hippo
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