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DBMS > HBase vs. Solr vs. TigerGraph vs. Tkrzw vs. Yaacomo

System Properties Comparison HBase vs. Solr vs. TigerGraph vs. Tkrzw vs. Yaacomo

Editorial information provided by DB-Engines
NameHBase  Xexclude from comparisonSolr  Xexclude from comparisonTigerGraph  Xexclude from comparisonTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet  Xexclude from comparisonYaacomo  Xexclude from comparison
Yaacomo seems to be discontinued and is removed from the DB-Engines ranking
DescriptionWide-column store based on Apache Hadoop and on concepts of BigTableA widely used distributed, scalable search engine based on Apache LuceneA complete, distributed, parallel graph computing platform supporting web-scale data analytics in real-timeA concept of libraries, allowing an application program to store and query key-value pairs in a file. Successor of Tokyo Cabinet and Kyoto CabinetOpenCL based in-memory RDBMS, designed for efficiently utilizing the hardware via parallel computing
Primary database modelWide column storeSearch engineGraph DBMSKey-value storeRelational DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score30.50
Rank#26  Overall
#2  Wide column stores
Score42.91
Rank#24  Overall
#3  Search engines
Score1.83
Rank#139  Overall
#13  Graph DBMS
Score0.00
Rank#383  Overall
#60  Key-value stores
Websitehbase.apache.orgsolr.apache.orgwww.tigergraph.comdbmx.net/­tkrzwyaacomo.com
Technical documentationhbase.apache.org/­book.htmlsolr.apache.org/­resources.htmldocs.tigergraph.com
DeveloperApache Software Foundation infoApache top-level project, originally developed by PowersetApache Software FoundationMikio HirabayashiQ2WEB GmbH
Initial release20082006201720202009
Current release2.3.4, January 20219.6.0, April 20240.9.3, August 2020
License infoCommercial or Open SourceOpen Source infoApache version 2Open Source infoApache Version 2commercialOpen Source infoApache Version 2.0commercial
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 languageJavaJavaC++C++
Server operating systemsLinux
Unix
Windows infousing Cygwin
All OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)LinuxLinux
macOS
Android
Linux
Windows
Data schemeschema-free, schema definition possibleyes infoDynamic Fields enables on-the-fly addition of new fieldsyesschema-freeyes
Typing infopredefined data types such as float or dateoptions to bring your own types, AVROyes infosupports customizable data types and automatic typingyesnoyes
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.noyesnonono
Secondary indexesnoyes infoAll search fields are automatically indexedyes
SQL infoSupport of SQLnoSolr Parallel SQL InterfaceSQL-like query language (GSQL)noyes
APIs and other access methodsJava API
RESTful HTTP API
Thrift
Java API
RESTful HTTP/JSON API
GSQL (TigerGraph Query Language)
Kafka
RESTful HTTP/JSON API
JDBC
ODBC
Supported programming languagesC
C#
C++
Groovy
Java
PHP
Python
Scala
.Net
Erlang
Java
JavaScript
any language that supports sockets and either XML or JSON
Perl
PHP
Python
Ruby
Scala
C++
Java
C++
Java
Python
Ruby
Server-side scripts infoStored proceduresyes infoCoprocessors in JavaJava pluginsyesno
Triggersyesyes infoUser configurable commands triggered on index changesnonoyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingnonehorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
yesnoneSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesspark-solr: github.com/­lucidworks/­spark-solr and streaming expressions to reduceyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual ConsistencyEventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyes infoRelationships in graphsnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataSingle row ACID (across millions of columns)optimistic lockingACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesnoyes infousing specific database classesyes
User concepts infoAccess controlAccess Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABACyesRole-based access controlnofine grained access rights according to SQL-standard

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More resources
HBaseSolrTigerGraphTkrzw infoSuccessor of Tokyo Cabinet and Kyoto CabinetYaacomo
DB-Engines blog posts

Cloudera's HBase PaaS offering now supports Complex Transactions
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Why is Hadoop not listed in the DB-Engines Ranking?
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12 January 2016, Paul Andlinger

Enterprise Search Engines almost double their popularity in the last 12 months
2 July 2014, Paul Andlinger

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4 February 2013, Paul Andlinger

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