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DBMS > Kinetica vs. PostGIS vs. Riak KV vs. Sadas Engine vs. Warp 10

System Properties Comparison Kinetica vs. PostGIS vs. Riak KV vs. Sadas Engine vs. Warp 10

Editorial information provided by DB-Engines
NameKinetica  Xexclude from comparisonPostGIS  Xexclude from comparisonRiak KV  Xexclude from comparisonSadas Engine  Xexclude from comparisonWarp 10  Xexclude from comparison
DescriptionFully vectorized database across both GPUs and CPUsSpatial extension of PostgreSQLDistributed, fault tolerant key-value storeSADAS Engine is a columnar DBMS specifically designed for high performance in data warehouse environmentsTimeSeries DBMS specialized on timestamped geo data based on LevelDB or HBase
Primary database modelRelational DBMSSpatial DBMSKey-value store infowith links between data sets and object tags for the creation of secondary indexesRelational DBMSTime Series DBMS
Secondary database modelsSpatial DBMS
Time Series DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.64
Rank#236  Overall
#109  Relational DBMS
Score22.69
Rank#29  Overall
#1  Spatial DBMS
Score4.10
Rank#82  Overall
#9  Key-value stores
Score0.00
Rank#383  Overall
#158  Relational DBMS
Score0.07
Rank#349  Overall
#32  Time Series DBMS
Websitewww.kinetica.compostgis.netwww.sadasengine.comwww.warp10.io
Technical documentationdocs.kinetica.compostgis.net/­documentationwww.tiot.jp/­riak-docs/­riak/­kv/­latestwww.sadasengine.com/­en/­sadas-engine-download-free-trial-and-documentation/­#documentationwww.warp10.io/­content/­02_Getting_started
DeveloperKineticaOpenSource, formerly Basho TechnologiesSADAS s.r.l.SenX
Initial release20122005200920062015
Current release7.1, August 20213.4.2, February 20243.2.0, December 20228.0
License infoCommercial or Open SourcecommercialOpen Source infoGPL v2.0Open Source infoApache version 2, commercial enterprise editioncommercial infofree trial version availableOpen Source infoApache License 2.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC, C++CErlangC++Java
Server operating systemsLinuxLinux
OS X
AIX
Linux
Windows
Linux
OS X
Windows
Data schemeyesyesschema-freeyesschema-free
Typing infopredefined data types such as float or dateyesyesnoyesyes
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.noyesnonono
Secondary indexesyesyesrestrictedyesno
SQL infoSupport of SQLSQL-like DML and DDL statementsyesnoyesno
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
HTTP API
Native Erlang Interface
JDBC
ODBC
Proprietary protocol
HTTP API
Jupyter
WebSocket
Supported programming languagesC++
Java
JavaScript (Node.js)
Python
C infounofficial client library
C#
C++ infounofficial client library
Clojure infounofficial client library
Dart infounofficial client library
Erlang
Go infounofficial client library
Groovy infounofficial client library
Haskell infounofficial client library
Java
JavaScript infounofficial client library
Lisp infounofficial client library
Perl infounofficial client library
PHP
Python
Ruby
Scala infounofficial client library
Smalltalk infounofficial client library
.Net
C
C#
C++
Groovy
Java
PHP
Python
Server-side scripts infoStored proceduresuser defined functionsuser defined functionsErlangnoyes infoWarpScript
Triggersyes infotriggers when inserted values for one or more columns fall within a specified rangeyesyes infopre-commit hooks and post-commit hooksnono
Partitioning methods infoMethods for storing different data on different nodesShardingyes infobased on PostgreSQLSharding infono "single point of failure"horizontal partitioningSharding infobased on HBase
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationyes infobased on PostgreSQLselectable replication factornoneselectable replication factor infobased on HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyEventual ConsistencyImmediate ConsistencyImmediate Consistency infobased on HBase
Foreign keys infoReferential integrityyesyesno infolinks between data sets can be storedyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infoGPU vRAM or System RAMnoyes infomanaged by 'Learn by Usage'yes
User concepts infoAccess controlAccess rights for users and roles on table levelyes infobased on PostgreSQLyes, using Riak SecurityAccess rights for users, groups and roles according to SQL-standardMandatory use of cryptographic tokens, containing fine-grained authorizations

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More resources
KineticaPostGISRiak KVSadas EngineWarp 10
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