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DBMS > Geode vs. Solr vs. StarRocks vs. TimesTen

System Properties Comparison Geode vs. Solr vs. StarRocks vs. TimesTen

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Editorial information provided by DB-Engines
NameGeode  Xexclude from comparisonSolr  Xexclude from comparisonStarRocks  Xexclude from comparisonTimesTen  Xexclude from comparison
DescriptionGeode is a distributed data container, pooling memory, CPU, network resources, and optionally local disk across multiple processesA widely used distributed, scalable search engine based on Apache LuceneAn open source, high-performance columnar analytical database that enables real-time, multi-dimensional, and highly concurrent data analytics infoForked from Apache DorisIn-Memory RDBMS compatible to Oracle
Primary database modelKey-value storeSearch engineRelational DBMSRelational DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.92
Rank#131  Overall
#23  Key-value stores
Score42.91
Rank#24  Overall
#3  Search engines
Score1.04
Rank#189  Overall
#88  Relational DBMS
Score1.31
Rank#163  Overall
#74  Relational DBMS
Websitegeode.apache.orgsolr.apache.orgwww.starrocks.iowww.oracle.com/­database/­technologies/­related/­timesten.html
Technical documentationgeode.apache.org/­docssolr.apache.org/­resources.htmldocs.starrocks.io/­en-us/­latest/­introduction/­StarRocks_introdocs.oracle.com/­database/­timesten-18.1
DeveloperOriginally developed by Gemstone. They outsourced the project to Apache in 2015 but still deliver a commercial version as Gemfire.Apache Software FoundationThe Linux Foundation infosince Feb 2023Oracle, TimesTen Performance Software, HP infooriginally founded in HP Labs it was acquired by Oracle in 2005
Initial release2002200620201998
Current release1.1, February 20179.6.0, April 20242.5.3, March 202311 Release 2 (11.2.2.8.0)
License infoCommercial or Open SourceOpen Source infoApache Version 2; commercial licenses available as GemfireOpen Source infoApache Version 2Open Source infoApache Version 2.0commercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaC++, Java
Server operating systemsAll OS with a Java VM infothe JDK (8 or later) is also requiredAll OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)LinuxAIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
Data schemeschema-freeyes infoDynamic Fields enables on-the-fly addition of new fieldsyesyes
Typing infopredefined data types such as float or dateyesyes infosupports customizable data types and automatic typingyesyes
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.noyesnono
Secondary indexesnoyes infoAll search fields are automatically indexedyesyes
SQL infoSupport of SQLSQL-like query language (OQL)Solr Parallel SQL Interfaceyesyes
APIs and other access methodsJava Client API
Memcached protocol
RESTful HTTP API
Java API
RESTful HTTP/JSON API
JDBC
MySQL protocol
JDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
Supported programming languages.Net
All JVM based languages
C++
Groovy
Java
Scala
.Net
Erlang
Java
JavaScript
any language that supports sockets and either XML or JSON
Perl
PHP
Python
Ruby
Scala
JavaC
C++
Java
PL/SQL
Server-side scripts infoStored proceduresuser defined functionsJava pluginsuser defined functionsPL/SQL
Triggersyes infoCache Event Listenersyes infoUser configurable commands triggered on index changesnono
Partitioning methods infoMethods for storing different data on different nodesShardingShardinghorizontal partitioning (by range and hash)none
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationyesMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnospark-solr: github.com/­lucidworks/­spark-solr and streaming expressions to reducenono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyEventual ConsistencyImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integritynononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayes, on a single nodeoptimistic lockingnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoby means of logfiles and checkpoints
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesnoyes
User concepts infoAccess controlAccess rights per client and object definableyesRole based access control and fine grained access rightsfine grained access rights according to SQL-standard

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GeodeSolrStarRocksTimesTen
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