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DBMS > Kinetica vs. Microsoft Azure Cosmos DB vs. PostgreSQL vs. STSdb vs. WakandaDB

System Properties Comparison Kinetica vs. Microsoft Azure Cosmos DB vs. PostgreSQL vs. STSdb vs. WakandaDB

Editorial information provided by DB-Engines
NameKinetica  Xexclude from comparisonMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDB  Xexclude from comparisonPostgreSQL  Xexclude from comparisonSTSdb  Xexclude from comparisonWakandaDB  Xexclude from comparison
DescriptionFully vectorized database across both GPUs and CPUsGlobally distributed, horizontally scalable, multi-model database serviceWidely used open source RDBMS infoDeveloped as objectoriented DBMS (Postgres), gradually enhanced with 'standards' like SQLKey-Value Store with special method for indexing infooptimized for high performance using a special indexing methodWakandaDB is embedded in a server that provides a REST API and a server-side javascript engine to access data
Primary database modelRelational DBMSDocument store
Graph DBMS
Key-value store
Wide column store
Relational DBMS infowith object oriented extensions, e.g.: user defined types/functions and inheritance. Handling of key/value pairs with hstore module.Key-value storeObject oriented DBMS
Secondary database modelsSpatial DBMS
Time Series DBMS
Spatial DBMSDocument store
Graph DBMS infowith Apache Age
Spatial DBMS
Vector DBMS infowith pgvector extension
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.66
Rank#234  Overall
#107  Relational DBMS
Score27.71
Rank#27  Overall
#4  Document stores
#2  Graph DBMS
#3  Key-value stores
#3  Wide column stores
Score636.25
Rank#4  Overall
#4  Relational DBMS
Score0.10
Rank#357  Overall
#51  Key-value stores
Score0.10
Rank#356  Overall
#16  Object oriented DBMS
Websitewww.kinetica.comazure.microsoft.com/­services/­cosmos-dbwww.postgresql.orggithub.com/­STSSoft/­STSdb4wakanda.github.io
Technical documentationdocs.kinetica.comlearn.microsoft.com/­azure/­cosmos-dbwww.postgresql.org/­docswakanda.github.io/­doc
DeveloperKineticaMicrosoftPostgreSQL Global Development Group infowww.postgresql.org/­developerSTS Soft SCWakanda SAS
Initial release201220141989 info1989: Postgres, 1996: PostgreSQL20112012
Current release7.1, August 202116.3, May 20244.0.8, September 20152.7.0 (April 29, 2019), April 2019
License infoCommercial or Open SourcecommercialcommercialOpen Source infoBSDOpen Source infoGPLv2, commercial license availableOpen Source infoAGPLv3, extended commercial license available
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC, C++CC#C++, JavaScript
Server operating systemsLinuxhostedFreeBSD
HP-UX
Linux
NetBSD
OpenBSD
OS X
Solaris
Unix
Windows
WindowsLinux
OS X
Windows
Data schemeyesschema-freeyesyesyes
Typing infopredefined data types such as float or dateyesyes infoJSON typesyesyes infoprimitive types and user defined types (classes)yes
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.noyes infospecific XML-type available, but no XML query functionality.no
Secondary indexesyesyes infoAll properties auto-indexed by defaultyesno
SQL infoSupport of SQLSQL-like DML and DDL statementsSQL-like query languageyes infostandard with numerous extensionsnono
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
DocumentDB API
Graph API (Gremlin)
MongoDB API
RESTful HTTP API
Table API
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
.NET Client APIRESTful HTTP API
Supported programming languagesC++
Java
JavaScript (Node.js)
Python
.Net
C#
Java
JavaScript
JavaScript (Node.js)
MongoDB client drivers written for various programming languages
Python
.Net
C
C++
Delphi
Java infoJDBC
JavaScript (Node.js)
Perl
PHP
Python
Tcl
C#
Java
JavaScript
Server-side scripts infoStored proceduresuser defined functionsJavaScriptuser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.noyes
Triggersyes infotriggers when inserted values for one or more columns fall within a specified rangeJavaScriptyesnoyes
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoImplicit feature of the cloud servicepartitioning by range, list and (since PostgreSQL 11) by hashnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationyes infoImplicit feature of the cloud serviceSource-replica replication infoother methods possible by using 3rd party extensionsnonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnowith Hadoop integration infoIntegration with Hadoop/HDInsight on Azure*nonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationBounded Staleness
Consistent Prefix
Eventual Consistency
Immediate Consistency infoConsistency level configurable on request level
Session Consistency
Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoMulti-item ACID transactions with snapshot isolation within a partitionACIDnoACID
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 RAMnono
User concepts infoAccess controlAccess rights for users and roles on table levelAccess rights can be defined down to the item levelfine grained access rights according to SQL-standardnoyes

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More resources
KineticaMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDBPostgreSQLSTSdbWakandaDB
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