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DBMS > Elasticsearch vs. H2 vs. HEAVY.AI vs. Sphinx vs. Transwarp KunDB

System Properties Comparison Elasticsearch vs. H2 vs. HEAVY.AI vs. Sphinx vs. Transwarp KunDB

Editorial information provided by DB-Engines
NameElasticsearch  Xexclude from comparisonH2  Xexclude from comparisonHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022  Xexclude from comparisonSphinx  Xexclude from comparisonTranswarp KunDB  Xexclude from comparison
DescriptionA 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 metricFull-featured RDBMS with a small footprint, either embedded into a Java application or used as a database server.A high performance, column-oriented RDBMS, specifically developed to harness the massive parallelism of modern CPU and GPU hardwareOpen source search engine for searching in data from different sources, e.g. relational databasesOLTP DBMS based on a distributed architecture and highly compatible with MySQL and Oracle
Primary database modelSearch engineRelational DBMSRelational DBMSSearch engineRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
Vector DBMS
Spatial DBMSSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score132.83
Rank#7  Overall
#1  Search engines
Score8.33
Rank#46  Overall
#30  Relational DBMS
Score1.64
Rank#145  Overall
#67  Relational DBMS
Score5.95
Rank#55  Overall
#5  Search engines
Score0.14
Rank#341  Overall
#149  Relational DBMS
Websitewww.elastic.co/­elasticsearchwww.h2database.comgithub.com/­heavyai/­heavydb
www.heavy.ai
sphinxsearch.comwww.transwarp.cn/­en/­product/­kundb
Technical documentationwww.elastic.co/­guide/­en/­elasticsearch/­reference/­current/­index.htmlwww.h2database.com/­html/­main.htmldocs.heavy.aisphinxsearch.com/­docs
DeveloperElasticThomas MuellerHEAVY.AI, Inc.Sphinx Technologies Inc.Transwarp
Initial release2010200520162001
Current release8.6, January 20232.2.220, July 20235.10, January 20223.5.1, February 2023
License infoCommercial or Open SourceOpen Source infoElastic LicenseOpen Source infodual-licence (Mozilla public license, Eclipse public license)Open Source infoApache Version 2; enterprise edition availableOpen Source infoGPL version 2, commercial licence availablecommercial
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++ and CUDAC++
Server operating systemsAll OS with a Java VMAll OS with a Java VMLinuxFreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Data schemeschema-free infoFlexible type definitions. Once a type is defined, it is persistentyesyesyesyes
Typing infopredefined data types such as float or dateyesyesyesnoyes
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.nonono
Secondary indexesyes infoAll search fields are automatically indexedyesnoyes infofull-text index on all search fieldsyes
SQL infoSupport of SQLSQL-like query languageyesyesSQL-like query language (SphinxQL)yes
APIs and other access methodsJava API
RESTful HTTP/JSON API
JDBC
ODBC
JDBC
ODBC
Thrift
Vega
Proprietary protocol
Supported programming languages.Net
Groovy
Community Contributed Clients
Java
JavaScript
Perl
PHP
Python
Ruby
JavaAll languages supporting JDBC/ODBC/Thrift
Python
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Server-side scripts infoStored proceduresyesJava Stored Procedures and User-Defined Functionsnonoyes
Triggersyes infoby using the 'percolation' featureyesnonoyes
Partitioning methods infoMethods for storing different data on different nodesShardingnoneSharding infoRound robinSharding infoPartitioning is done manually, search queries against distributed index is supportedhorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyesWith clustering: 2 database servers on different computers operate on identical copies of a databaseMulti-source replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsES-Hadoop Connectornononono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infoSynchronous doc based replication. Get by ID may show delays up to 1 sec. Configurable write consistency: one, quorum, allImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesnonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnonoACID
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoThe original contents of fields are not stored in the Sphinx index.yes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.Memcached and Redis integrationyesyes
User concepts infoAccess controlfine grained access rights according to SQL-standardfine grained access rights according to SQL-standardnoyes

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More resources
ElasticsearchH2HEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022SphinxTranswarp KunDB
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