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DBMS > Geode vs. Kinetica vs. Solr vs. TerarkDB

System Properties Comparison Geode vs. Kinetica vs. Solr vs. TerarkDB

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Editorial information provided by DB-Engines
NameGeode  Xexclude from comparisonKinetica  Xexclude from comparisonSolr  Xexclude from comparisonTerarkDB  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 CPUsA widely used distributed, scalable search engine based on Apache LuceneA key-value store forked from RocksDB with advanced compression algorithms. It can be used standalone or as a storage engine for MySQL and MongoDB
Primary database modelKey-value storeRelational DBMSSearch engineKey-value store
Secondary database modelsSpatial DBMS
Time Series DBMS
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.99
Rank#133  Overall
#23  Key-value stores
Score0.69
Rank#234  Overall
#107  Relational DBMS
Score44.28
Rank#24  Overall
#3  Search engines
Score0.04
Rank#377  Overall
#58  Key-value stores
Websitegeode.apache.orgwww.kinetica.comsolr.apache.orggithub.com/­bytedance/­terarkdb
Technical documentationgeode.apache.org/­docsdocs.kinetica.comsolr.apache.org/­resources.htmlbytedance.larkoffice.com/­docs/­doccnZmYFqHBm06BbvYgjsHHcKc
DeveloperOriginally developed by Gemstone. They outsourced the project to Apache in 2015 but still deliver a commercial version as Gemfire.KineticaApache Software FoundationByteDance, originally Terark
Initial release2002201220062016
Current release1.1, February 20177.1, August 20219.5.0, February 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2; commercial licenses available as GemfirecommercialOpen Source infoApache Version 2commercial inforestricted open source version available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC, C++JavaC++
Server operating systemsAll OS with a Java VM infothe JDK (8 or later) is also requiredLinuxAll OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)
Data schemeschema-freeyesyes infoDynamic Fields enables on-the-fly addition of new fieldsschema-free
Typing infopredefined data types such as float or dateyesyesyes infosupports customizable data types and automatic typingno
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 indexesnoyesyes infoAll search fields are automatically indexedno
SQL infoSupport of SQLSQL-like query language (OQL)SQL-like DML and DDL statementsSolr Parallel SQL Interfaceno
APIs and other access methodsJava Client API
Memcached protocol
RESTful HTTP API
JDBC
ODBC
RESTful HTTP API
Java API
RESTful HTTP/JSON API
C++ API
Java API
Supported programming languages.Net
All JVM based languages
C++
Groovy
Java
Scala
C++
Java
JavaScript (Node.js)
Python
.Net
Erlang
Java
JavaScript
any language that supports sockets and either XML or JSON
Perl
PHP
Python
Ruby
Scala
C++
Java
Server-side scripts infoStored proceduresuser defined functionsuser defined functionsJava pluginsno
Triggersyes infoCache Event Listenersyes infotriggers when inserted values for one or more columns fall within a specified rangeyes infoUser configurable commands triggered on index changesno
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationSource-replica replicationyesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonospark-solr: github.com/­lucidworks/­spark-solr and streaming expressions to reduceno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate Consistency or Eventual Consistency depending on configurationEventual Consistency
Foreign keys infoReferential integritynoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayes, on a single nodenooptimistic lockingno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
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
User concepts infoAccess controlAccess rights per client and object definableAccess rights for users and roles on table levelyesno

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More resources
GeodeKineticaSolrTerarkDB
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