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DBMS > Elasticsearch vs. EsgynDB vs. IBM Cloudant vs. IBM Db2 warehouse vs. Splice Machine

System Properties Comparison Elasticsearch vs. EsgynDB vs. IBM Cloudant vs. IBM Db2 warehouse vs. Splice Machine

Editorial information provided by DB-Engines
NameElasticsearch  Xexclude from comparisonEsgynDB  Xexclude from comparisonIBM Cloudant  Xexclude from comparisonIBM Db2 warehouse infoformerly named IBM dashDB  Xexclude from comparisonSplice Machine  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 metricEnterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionDatabase as a Service offering based on Apache CouchDBCloud-based data warehousing serviceOpen-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and Spark
Primary database modelSearch engineRelational DBMSDocument storeRelational DBMSRelational 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
Score0.25
Rank#312  Overall
#138  Relational DBMS
Score2.75
Rank#104  Overall
#19  Document stores
Score1.37
Rank#160  Overall
#74  Relational DBMS
Score0.54
Rank#252  Overall
#115  Relational DBMS
Websitewww.elastic.co/­elasticsearchwww.esgyn.cnwww.ibm.com/­products/­cloudantwww.ibm.com/­products/­db2/­warehousesplicemachine.com
Technical documentationwww.elastic.co/­guide/­en/­elasticsearch/­reference/­current/­index.htmlcloud.ibm.com/­docs/­Cloudantsplicemachine.com/­how-it-works
DeveloperElasticEsgynIBM, Apache Software Foundation infoIBM acquired Cloudant in February 2014IBMSplice Machine
Initial release20102015201020142014
Current release8.6, January 20233.1, March 2021
License infoCommercial or Open SourceOpen Source infoElastic LicensecommercialcommercialcommercialOpen Source infoAGPL 3.0, commercial license available
Cloud-based only infoOnly available as a cloud servicenonoyesyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC++, JavaErlangJava
Server operating systemsAll OS with a Java VMLinuxhostedhostedLinux
OS X
Solaris
Windows
Data schemeschema-free infoFlexible type definitions. Once a type is defined, it is persistentyesschema-freeyesyes
Typing infopredefined data types such as float or dateyesyesnoyesyes
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 infoImport/export of XML data possible
Secondary indexesyes infoAll search fields are automatically indexedyesyesyesyes
SQL infoSupport of SQLSQL-like query languageyesnoyesyes
APIs and other access methodsJava API
RESTful HTTP/JSON API
ADO.NET
JDBC
ODBC
RESTful HTTP/JSON API.NET Client API
JDBC
ODBC
OLE DB
JDBC
Native Spark Datasource
ODBC
Supported programming languages.Net
Groovy
Community Contributed Clients
Java
JavaScript
Perl
PHP
Python
Ruby
All languages supporting JDBC/ODBC/ADO.NetC#
Java
JavaScript
Objective-C
PHP
Ruby
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
Server-side scripts infoStored proceduresyesJava Stored ProceduresView functions (Map-Reduce) in JavaScriptPL/SQL, SQL PLyes infoJava
Triggersyes infoby using the 'percolation' featurenoyesyesyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardingShardingShared Nothhing Auto-Sharding, Columnar Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyesMulti-source replication between multi datacentersMulti-source replication
Source-replica replication
yesMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsES-Hadoop ConnectoryesyesnoYes, 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 ConsistencyEventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesnoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDno infoatomic operations within a document possibleACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoOptimistic lockingyesyes, multi-version concurrency control (MVCC)
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.Memcached and Redis integrationnonoyesyes
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess rights for users can be defined per databasefine grained access rights according to SQL-standardAccess rights for users, groups and roles according to SQL-standard

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More resources
ElasticsearchEsgynDBIBM CloudantIBM Db2 warehouse infoformerly named IBM dashDBSplice Machine
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