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DBMS > Kinetica vs. Manticore Search vs. OceanBase vs. Postgres-XL

System Properties Comparison Kinetica vs. Manticore Search vs. OceanBase vs. Postgres-XL

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Editorial information provided by DB-Engines
NameKinetica  Xexclude from comparisonManticore Search  Xexclude from comparisonOceanBase  Xexclude from comparisonPostgres-XL  Xexclude from comparison
DescriptionFully vectorized database across both GPUs and CPUsMulti-storage database for search, including full-text search.A distributed, high available RDBMS compatible with Oracle and MySQLBased on PostgreSQL enhanced with MPP and write-scale-out cluster features
Primary database modelRelational DBMSSearch engineRelational DBMSRelational DBMS
Secondary database modelsSpatial DBMS
Time Series DBMS
Time Series DBMS infousing the Manticore Columnar LibraryDocument store
Wide column store
Document store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.66
Rank#234  Overall
#107  Relational DBMS
Score0.29
Rank#302  Overall
#21  Search engines
Score1.57
Rank#149  Overall
#69  Relational DBMS
Score0.53
Rank#254  Overall
#117  Relational DBMS
Websitewww.kinetica.commanticoresearch.comen.oceanbase.comwww.postgres-xl.org
Technical documentationdocs.kinetica.commanual.manticoresearch.comen.oceanbase.com/­docs/­oceanbase-databasewww.postgres-xl.org/­documentation
DeveloperKineticaManticore SoftwareOceanBase infopreviously Alibaba and Ant Group
Initial release2012201720102014 infosince 2012, originally named StormDB
Current release7.1, August 20216.0, February 20234.3.0, April 202410 R1, October 2018
License infoCommercial or Open SourcecommercialOpen Source infoGPL version 2Open Source infoCommercial license availableOpen Source infoMozilla public license
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC, C++C++C++C
Server operating systemsLinuxFreeBSD
Linux
macOS
Windows
LinuxLinux
macOS
Data schemeyesFixed schemayesyes
Typing infopredefined data types such as float or dateyesInt, Bigint, Float, Timestamp, Bit, Int array, Bigint array, JSON, Booleanyesyes
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.noCan index from XMLyesyes infoXML type, but no XML query functionality
Secondary indexesyesyes infofull-text index on all search fieldsyesyes
SQL infoSupport of SQLSQL-like DML and DDL statementsSQL-like query languageyesyes infodistributed, parallel query execution
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
Binary API
RESTful HTTP/JSON API
RESTful HTTP/SQL API
SQL over MySQL
JDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
Proprietary native API
Table API
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Supported programming languagesC++
Java
JavaScript (Node.js)
Python
Elixir
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ada infoin MySQL-compatible model
C infoin Oracle- and MySQL- compatible models
C++ infoin Oracle- and MySQL- compatible models
D infoin MySQL-compatible model
Delphi infoin MySQL-compatible model
Eiffel infoin MySQL-compatible model
Erlang infoin MySQL-compatible model
Haskell infoin MySQL-compatible model
Java infoin Oracle- and MySQL- compatible models
JavaScript (Node.js) infoin MySQL-compatible model
Objective-C infoin MySQL-compatible model
OCaml infoin MySQL-compatible model
Perl infoin MySQL-compatible model
PHP infoin MySQL-compatible model
Python infoin MySQL-compatible model
Ruby infoin MySQL-compatible model
Scheme infoin MySQL-compatible model
Tcl infoin MySQL-compatible model
.Net
C
C++
Delphi
Erlang
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
Server-side scripts infoStored proceduresuser defined functionsuser defined functionsPL/SQL in oracle-compatible mode, MySQL Stored Procedure in mysql-compatible modeuser defined functions
Triggersyes infotriggers when inserted values for one or more columns fall within a specified rangenoyesyes
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoPartitioning is done manually, search queries against distributed index is supportedhorizontal partitioning (by hash, key, range, range columns, list, and list columns)horizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationSynchronous replication based on Galera libraryMulti-source replication using Paxos
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoyes infoisolated transactions for atomic changes and binary logging for safe writesACIDACID infoMVCC
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes infoThe original contents of fields are not stored in the Manticore index.yesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infoGPU vRAM or System RAMno
User concepts infoAccess controlAccess rights for users and roles on table levelnoAccess rights for users, groups and roles according to SQL-standardfine grained access rights according to SQL-standard

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More resources
KineticaManticore SearchOceanBasePostgres-XL
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