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DBMS > AgensGraph vs. Elasticsearch vs. HBase vs. JanusGraph vs. Sphinx

System Properties Comparison AgensGraph vs. Elasticsearch vs. HBase vs. JanusGraph vs. Sphinx

Editorial information provided by DB-Engines
NameAgensGraph  Xexclude from comparisonElasticsearch  Xexclude from comparisonHBase  Xexclude from comparisonJanusGraph infosuccessor of Titan  Xexclude from comparisonSphinx  Xexclude from comparison
DescriptionMulti-model database supporting relational and graph data models and built upon PostgreSQLA distributed, RESTful modern search and analytics engine based on Apache Lucene infoElasticsearch lets you perform and combine many types of searches such as structured, unstructured, geo, and metricWide-column store based on Apache Hadoop and on concepts of BigTableA Graph DBMS optimized for distributed clusters infoIt was forked from the latest code base of Titan in January 2017Open source search engine for searching in data from different sources, e.g. relational databases
Primary database modelGraph DBMS
Relational DBMS
Search engineWide column storeGraph DBMSSearch engine
Secondary database modelsDocument store
Spatial DBMS
Vector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.23
Rank#315  Overall
#26  Graph DBMS
#140  Relational DBMS
Score132.83
Rank#7  Overall
#1  Search engines
Score27.97
Rank#26  Overall
#2  Wide column stores
Score2.02
Rank#125  Overall
#12  Graph DBMS
Score5.95
Rank#55  Overall
#5  Search engines
Websitebitnine.net/­agensgraphwww.elastic.co/­elasticsearchhbase.apache.orgjanusgraph.orgsphinxsearch.com
Technical documentationbitnine.net/­documentationwww.elastic.co/­guide/­en/­elasticsearch/­reference/­current/­index.htmlhbase.apache.org/­book.htmldocs.janusgraph.orgsphinxsearch.com/­docs
DeveloperBitnine Global Inc.ElasticApache Software Foundation infoApache top-level project, originally developed by PowersetLinux Foundation; originally developed as Titan by AureliusSphinx Technologies Inc.
Initial release20162010200820172001
Current release2.1, December 20188.6, January 20232.3.4, January 20210.6.3, February 20233.5.1, February 2023
License infoCommercial or Open SourceOpen Source infoApache License 2.0Open Source infoElastic LicenseOpen Source infoApache version 2Open Source infoApache 2.0Open 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 languageCJavaJavaJavaC++
Server operating systemsLinux
OS X
Windows
All OS with a Java VMLinux
Unix
Windows infousing Cygwin
Linux
OS X
Unix
Windows
FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Data schemedepending on used data modelschema-free infoFlexible type definitions. Once a type is defined, it is persistentschema-free, schema definition possibleyesyes
Typing infopredefined data types such as float or dateyesyesoptions to bring your own types, AVROyesno
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 indexesyesyes infoAll search fields are automatically indexednoyesyes infofull-text index on all search fields
SQL infoSupport of SQLyesSQL-like query languagenonoSQL-like query language (SphinxQL)
APIs and other access methodsCypher Query Language
JDBC
Java API
RESTful HTTP/JSON API
Java API
RESTful HTTP API
Thrift
Java API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster
Proprietary protocol
Supported programming languagesC
Java
JavaScript
Python
.Net
Groovy
Community Contributed Clients
Java
JavaScript
Perl
PHP
Python
Ruby
C
C#
C++
Groovy
Java
PHP
Python
Scala
Clojure
Java
Python
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Server-side scripts infoStored proceduresyesyesyes infoCoprocessors in Javayesno
Triggersnoyes infoby using the 'percolation' featureyesyesno
Partitioning methods infoMethods for storing different data on different nodesno, but can be realized using table inheritanceShardingShardingyes infodepending on the used storage backend (e.g. Cassandra, HBase, BerkeleyDB)Sharding infoPartitioning is done manually, search queries against distributed index is supported
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationyesMulti-source replication
Source-replica replication
yesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoES-Hadoop Connectoryesyes infovia Faunus, a graph analytics engineno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency infoSynchronous doc based replication. Get by ID may show delays up to 1 sec. Configurable write consistency: one, quorum, allImmediate Consistency or Eventual ConsistencyEventual Consistency
Immediate Consistency
Foreign keys infoReferential integrityyesnonoyes infoRelationships in graphsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoSingle row ACID (across millions of columns)ACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoSupports various storage backends: Cassandra, HBase, Berkeley DB, Akiban, Hazelcastyes 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.noMemcached and Redis integrationyes
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABACUser authentification and security via Rexster Graph Serverno

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More resources
AgensGraphElasticsearchHBaseJanusGraph infosuccessor of TitanSphinx
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