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DBMS > Geode vs. Kinetica vs. openGemini vs. Sadas Engine vs. Sphinx

System Properties Comparison Geode vs. Kinetica vs. openGemini vs. Sadas Engine vs. Sphinx

Editorial information provided by DB-Engines
NameGeode  Xexclude from comparisonKinetica  Xexclude from comparisonopenGemini  Xexclude from comparisonSadas Engine  Xexclude from comparisonSphinx  Xexclude from comparison
DescriptionGeode is a distributed data container, pooling memory, CPU, network resources, and optionally local disk across multiple processesFully vectorized database across both GPUs and CPUsAn open source distributed Time Series DBMS with high concurrency, high performance, and high scalabilitySADAS Engine is a columnar DBMS specifically designed for high performance in data warehouse environmentsOpen source search engine for searching in data from different sources, e.g. relational databases
Primary database modelKey-value storeRelational DBMSTime Series DBMSRelational DBMSSearch engine
Secondary database modelsSpatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.51
Rank#147  Overall
#25  Key-value stores
Score0.42
Rank#261  Overall
#120  Relational DBMS
Score0.00
Rank#385  Overall
#40  Time Series DBMS
Score0.00
Rank#385  Overall
#159  Relational DBMS
Score5.97
Rank#56  Overall
#5  Search engines
Websitegeode.apache.orgwww.kinetica.comwww.opengemini.org
github.com/­openGemini
www.sadasengine.comsphinxsearch.com
Technical documentationgeode.apache.org/­docsdocs.kinetica.comdocs.opengemini.org/­guidewww.sadasengine.com/­en/­sadas-engine-download-free-trial-and-documentation/­#documentationsphinxsearch.com/­docs
DeveloperOriginally developed by Gemstone. They outsourced the project to Apache in 2015 but still deliver a commercial version as Gemfire.KineticaHuawei and openGemini communitySADAS s.r.l.Sphinx Technologies Inc.
Initial release20022012202220062001
Current release1.1, February 20177.1, August 20211.1, July 20238.03.5.1, February 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2; commercial licenses available as GemfirecommercialOpen Source infoApache Version 2.0commercial infofree trial version availableOpen Source infoGPL version 2, commercial licence available
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC, C++GoC++C++
Server operating systemsAll OS with a Java VM infothe JDK (8 or later) is also requiredLinuxLinux
Windows
AIX
Linux
Windows
FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Data schemeschema-freeyesschema-freeyesyes
Typing infopredefined data types such as float or dateyesyesInteger, Float, Boolean, Stringyesno
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.nononono
Secondary indexesnoyesyesyesyes infofull-text index on all search fields
SQL infoSupport of SQLSQL-like query language (OQL)SQL-like DML and DDL statementsSQL-like query languageyesSQL-like query language (SphinxQL)
APIs and other access methodsJava Client API
Memcached protocol
RESTful HTTP API
JDBC
ODBC
RESTful HTTP API
HTTP RESTJDBC
ODBC
Proprietary protocol
Proprietary protocol
Supported programming languages.Net
All JVM based languages
C++
Groovy
Java
Scala
C++
Java
JavaScript (Node.js)
Python
C
C++
Go
Java
JavaScript (Node.js)
Python
Rust
.Net
C
C#
C++
Groovy
Java
PHP
Python
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Server-side scripts infoStored proceduresuser defined functionsuser defined functionsnonono
Triggersyes infoCache Event Listenersyes infotriggers when inserted values for one or more columns fall within a specified rangenonono
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardinghorizontal partitioningSharding infoPartitioning is done manually, search queries against distributed index is supported
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationSource-replica replicationyesnonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistency
Foreign keys infoReferential integritynoyesnoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayes, on a single nodenonono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes infoThe original contents of fields are not stored in the Sphinx index.
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes infoGPU vRAM or System RAMyesyes infomanaged by 'Learn by Usage'
User concepts infoAccess controlAccess rights per client and object definableAccess rights for users and roles on table levelAdministrators and common users accountsAccess rights for users, groups and roles according to SQL-standardno

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More resources
GeodeKineticaopenGeminiSadas EngineSphinx
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