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DBMS > Elasticsearch vs. IRONdb vs. OpenQM vs. PouchDB vs. Splice Machine

System Properties Comparison Elasticsearch vs. IRONdb vs. OpenQM vs. PouchDB vs. Splice Machine

Editorial information provided by DB-Engines
NameElasticsearch  Xexclude from comparisonIRONdb  Xexclude from comparisonOpenQM infoalso called QM  Xexclude from comparisonPouchDB  Xexclude from comparisonSplice Machine  Xexclude from comparison
IRONdb seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
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 metricA distributed Time Series DBMS with a focus on scalability, fault tolerance and operational simplicityQpenQM is a high-performance, self-tuning, multi-value DBMSJavaScript DBMS with an API inspired by CouchDBOpen-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and Spark
Primary database modelSearch engineTime Series DBMSMultivalue DBMSDocument storeRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
Vector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score132.83
Rank#7  Overall
#1  Search engines
Score0.34
Rank#284  Overall
#10  Multivalue DBMS
Score2.34
Rank#112  Overall
#21  Document stores
Score0.54
Rank#252  Overall
#115  Relational DBMS
Websitewww.elastic.co/­elasticsearchwww.circonus.com/solutions/time-series-database/www.rocketsoftware.com/­products/­rocket-multivalue-application-development-platform/­rocket-open-qmpouchdb.comsplicemachine.com
Technical documentationwww.elastic.co/­guide/­en/­elasticsearch/­reference/­current/­index.htmldocs.circonus.com/irondb/category/getting-startedpouchdb.com/­guidessplicemachine.com/­how-it-works
DeveloperElasticCirconus LLC.Rocket Software, originally Martin PhillipsApache Software FoundationSplice Machine
Initial release20102017199320122014
Current release8.6, January 2023V0.10.20, January 20183.4-127.1.1, June 20193.1, March 2021
License infoCommercial or Open SourceOpen Source infoElastic LicensecommercialOpen Source infoGPLv2, extended commercial license availableOpen SourceOpen Source infoAGPL 3.0, commercial license 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 languageJavaC and C++JavaScriptJava
Server operating systemsAll OS with a Java VMLinuxAIX
FreeBSD
Linux
macOS
Raspberry Pi
Solaris
Windows
server-less, requires a JavaScript environment (browser, Node.js)Linux
OS X
Solaris
Windows
Data schemeschema-free infoFlexible type definitions. Once a type is defined, it is persistentschema-freeyes infowith some exceptionsschema-freeyes
Typing infopredefined data types such as float or dateyesyes infotext, numeric, histogramsnoyes
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.nonoyesno
Secondary indexesyes infoAll search fields are automatically indexednoyesyes infovia viewsyes
SQL infoSupport of SQLSQL-like query languageSQL-like query language (Circonus Analytics Query Language: CAQL)nonoyes
APIs and other access methodsJava API
RESTful HTTP/JSON API
HTTP APIHTTP REST infoonly for PouchDB Server
JavaScript API
JDBC
Native Spark Datasource
ODBC
Supported programming languages.Net
Groovy
Community Contributed Clients
Java
JavaScript
Perl
PHP
Python
Ruby
.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Lua
Perl
PHP
Python
R
Ruby
Rust
Scala
.Net
Basic
C
Java
Objective C
PHP
Python
JavaScriptC#
C++
Java
JavaScript (Node.js)
Python
R
Scala
Server-side scripts infoStored proceduresyesyes, in LuayesView functions in JavaScriptyes infoJava
Triggersyes infoby using the 'percolation' featurenoyesyesyes
Partitioning methods infoMethods for storing different data on different nodesShardingAutomatic, metric affinity per nodeyesSharding infowith a proxy-based framework, named couchdb-loungeShared Nothhing Auto-Sharding, Columnar Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyesconfigurable replication factor, datacenter awareyesMulti-source replication infoalso with CouchDB databases
Source-replica replication infoalso with CouchDB databases
Multi-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsES-Hadoop ConnectornonoyesYes, via Full Spark Integration
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 per node, eventual consistency across nodesImmediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes, multi-version concurrency control (MVCC)
Durability infoSupport for making data persistentyesyesyesyes infoby using IndexedDB, WebSQL or LevelDB as backendyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.Memcached and Redis integrationnoyesyes
User concepts infoAccess controlnoAccess rights can be defined down to the item levelnoAccess rights for users, groups and roles according to SQL-standard

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More resources
ElasticsearchIRONdbOpenQM infoalso called QMPouchDBSplice Machine
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