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DBMS > Elasticsearch vs. HBase vs. SiriDB

System Properties Comparison Elasticsearch vs. HBase vs. SiriDB

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Editorial information provided by DB-Engines
NameElasticsearch  Xexclude from comparisonHBase  Xexclude from comparisonSiriDB  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 metricWide-column store based on Apache Hadoop and on concepts of BigTableOpen Source Time Series DBMS
Primary database modelSearch engineWide column storeTime Series DBMS
Secondary database modelsDocument store
Spatial DBMS
Vector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score134.78
Rank#7  Overall
#1  Search engines
Score31.25
Rank#26  Overall
#2  Wide column stores
Score0.11
Rank#346  Overall
#32  Time Series DBMS
Websitewww.elastic.co/­elasticsearchhbase.apache.orgsiridb.com
Technical documentationwww.elastic.co/­guide/­en/­elasticsearch/­reference/­current/­index.htmlhbase.apache.org/­book.htmldocs.siridb.com
DeveloperElasticApache Software Foundation infoApache top-level project, originally developed by PowersetCesbit
Initial release201020082017
Current release8.6, January 20232.3.4, January 2021
License infoCommercial or Open SourceOpen Source infoElastic LicenseOpen Source infoApache version 2Open Source infoMIT License
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaJavaC
Server operating systemsAll OS with a Java VMLinux
Unix
Windows infousing Cygwin
Linux
Data schemeschema-free infoFlexible type definitions. Once a type is defined, it is persistentschema-free, schema definition possibleyes
Typing infopredefined data types such as float or dateyesoptions to bring your own types, AVROyes infoNumeric data
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 indexednoyes
SQL infoSupport of SQLSQL-like query languagenono
APIs and other access methodsJava API
RESTful HTTP/JSON API
Java API
RESTful HTTP API
Thrift
HTTP API
Supported programming languages.Net
Groovy
Community Contributed Clients
Java
JavaScript
Perl
PHP
Python
Ruby
C
C#
C++
Groovy
Java
PHP
Python
Scala
C
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
Server-side scripts infoStored proceduresyesyes infoCoprocessors in Javano
Triggersyes infoby using the 'percolation' featureyesno
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesMulti-source replication
Source-replica replication
yes
MapReduce infoOffers an API for user-defined Map/Reduce methodsES-Hadoop Connectoryesno
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 Consistency or Eventual Consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoSingle row ACID (across millions of columns)no
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
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 controlAccess Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABACsimple rights management via user accounts

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More resources
ElasticsearchHBaseSiriDB
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Recent citations in the news

Introducing Elasticsearch Vector Database to Azure OpenAI Service On Your Data (Preview)
26 March 2024, GovTech

Elastic's Latest Update Brings Cohere's Text Embedding Models to Elasticsearch
3 April 2024, Datanami

Elasticsearch Open Inference API Supports Cohere Rerank 3
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