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DBMS > GeoMesa vs. Kinetica vs. OceanBase vs. Quasardb

System Properties Comparison GeoMesa vs. Kinetica vs. OceanBase vs. Quasardb

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Editorial information provided by DB-Engines
NameGeoMesa  Xexclude from comparisonKinetica  Xexclude from comparisonOceanBase  Xexclude from comparisonQuasardb  Xexclude from comparison
DescriptionGeoMesa is a distributed spatio-temporal DBMS based on various systems as storage layer.Fully vectorized database across both GPUs and CPUsA distributed, high available RDBMS compatible with Oracle and MySQLDistributed, high-performance timeseries database
Primary database modelSpatial DBMSRelational DBMSRelational DBMSTime Series DBMS
Secondary database modelsSpatial DBMS
Time Series DBMS
Document store
Wide column store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.78
Rank#214  Overall
#4  Spatial DBMS
Score0.42
Rank#261  Overall
#120  Relational DBMS
Score1.97
Rank#119  Overall
#58  Relational DBMS
Score0.13
Rank#332  Overall
#28  Time Series DBMS
Websitewww.geomesa.orgwww.kinetica.comen.oceanbase.comquasar.ai
Technical documentationwww.geomesa.org/­documentation/­stable/­user/­index.htmldocs.kinetica.comen.oceanbase.com/­docs/­oceanbase-databasedoc.quasar.ai/­master
DeveloperCCRi and othersKineticaOceanBase infopreviously Alibaba and Ant Groupquasardb
Initial release2014201220102009
Current release5.0.1, July 20247.1, August 20214.3.0, April 20243.14.1, January 2024
License infoCommercial or Open SourceOpen Source infoApache License 2.0commercialOpen Source infoCommercial license availablecommercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licenses
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageScalaC, C++C++C++
Server operating systemsLinuxLinuxBSD
Linux
OS X
Windows
Data schemeyesyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyesyes infointeger and binary
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.nonoyesno
Secondary indexesyesyesyesyes infowith tags
SQL infoSupport of SQLnoSQL-like DML and DDL statementsyesSQL-like query language
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
JDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
Proprietary native API
Table API
HTTP API
Supported programming languagesC++
Java
JavaScript (Node.js)
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#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
Server-side scripts infoStored proceduresnouser defined functionsPL/SQL in oracle-compatible mode, MySQL Stored Procedure in mysql-compatible modeno
Triggersnoyes infotriggers when inserted values for one or more columns fall within a specified rangeyesno
Partitioning methods infoMethods for storing different data on different nodesdepending on storage layerShardinghorizontal partitioning (by hash, key, range, range columns, list, and list columns)Sharding infoconsistent hashing
Replication methods infoMethods for redundantly storing data on multiple nodesdepending on storage layerSource-replica replicationMulti-source replication using PaxosSource-replica replication with selectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonowith Hadoop integration
Consistency concepts infoMethods to ensure consistency in a distributed systemdepending on storage layerImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoby using LevelDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.depending on storage layeryes infoGPU vRAM or System RAMyes infoTransient mode
User concepts infoAccess controlyes infodepending on the DBMS used for storageAccess rights for users and roles on table levelAccess rights for users, groups and roles according to SQL-standardCryptographically strong user authentication and audit trail

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More resources
GeoMesaKineticaOceanBaseQuasardb
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