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DBMS > Adabas vs. Datomic vs. Elasticsearch vs. Sphinx vs. STSdb

System Properties Comparison Adabas vs. Datomic vs. Elasticsearch vs. Sphinx vs. STSdb

Editorial information provided by DB-Engines
NameAdabas infodenotes "adaptable data base"  Xexclude from comparisonDatomic  Xexclude from comparisonElasticsearch  Xexclude from comparisonSphinx  Xexclude from comparisonSTSdb  Xexclude from comparison
DescriptionOLTP - DBMS for mainframes and Linux/Unix/Windows environments infoused typically together with the Natural programming platformDatomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityA 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 metricOpen source search engine for searching in data from different sources, e.g. relational databasesKey-Value Store with special method for indexing infooptimized for high performance using a special indexing method
Primary database modelMultivalue DBMSRelational DBMSSearch engineSearch engineKey-value store
Secondary database modelsDocument store
Spatial DBMS
Vector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.58
Rank#91  Overall
#1  Multivalue DBMS
Score1.76
Rank#145  Overall
#66  Relational DBMS
Score134.78
Rank#7  Overall
#1  Search engines
Score6.03
Rank#60  Overall
#6  Search engines
Score0.06
Rank#365  Overall
#55  Key-value stores
Websitewww.softwareag.com/­en_corporate/­platform/­adabas-natural.htmlwww.datomic.comwww.elastic.co/­elasticsearchsphinxsearch.comgithub.com/­STSSoft/­STSdb4
Technical documentationdocs.datomic.comwww.elastic.co/­guide/­en/­elasticsearch/­reference/­current/­index.htmlsphinxsearch.com/­docs
DeveloperSoftware AGCognitectElasticSphinx Technologies Inc.STS Soft SC
Initial release19712012201020012011
Current release1.0.6735, June 20238.6, January 20233.5.1, February 20234.0.8, September 2015
License infoCommercial or Open Sourcecommercialcommercial infolimited edition freeOpen Source infoElastic LicenseOpen Source infoGPL version 2, commercial licence availableOpen Source infoGPLv2, commercial license available
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava, ClojureJavaC++C#
Server operating systemsBS2000
Linux
Unix
Windows
z/OS
z/VSE
All OS with a Java VMAll OS with a Java VMFreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Windows
Data schemeyesyesschema-free infoFlexible type definitions. Once a type is defined, it is persistentyesyes
Typing infopredefined data types such as float or dateyesyesyesnoyes infoprimitive types and user defined types (classes)
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 indexesyesyesyes infoAll search fields are automatically indexedyes infofull-text index on all search fieldsno
SQL infoSupport of SQLyes infowith add-on product Adabas SQL GatewaynoSQL-like query languageSQL-like query language (SphinxQL)no
APIs and other access methodsHTTP API infowith add-on software Adabas SOA Gateway
SOAP-based API infowith add-on software Adabas SOA Gateway
RESTful HTTP APIJava API
RESTful HTTP/JSON API
Proprietary protocol.NET Client API
Supported programming languagesNaturalClojure
Java
.Net
Groovy
Community Contributed Clients
Java
JavaScript
Perl
PHP
Python
Ruby
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
C#
Java
Server-side scripts infoStored proceduresin Naturalyes infoTransaction Functionsyesnono
TriggersnoBy using transaction functionsyes infoby using the 'percolation' featurenono
Partitioning methods infoMethods for storing different data on different nodesyes, with additonal products like Adabas Cluster Services, Adabas Parallel Services, Adabas Vistanone infoBut extensive use of caching in the application peersShardingSharding infoPartitioning is done manually, search queries against distributed index is supportednone
Replication methods infoMethods for redundantly storing data on multiple nodesyes, with add-on product Event Replicatornone infoBut extensive use of caching in the application peersyesnonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoES-Hadoop Connectornono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency infoSynchronous doc based replication. Get by ID may show delays up to 1 sec. Configurable write consistency: one, quorum, all
Foreign keys infoReferential integritynonononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnonono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yesyes 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.noyes inforecommended only for testing and developmentMemcached and Redis integration
User concepts infoAccess controlonly with OS-specific tools (e.g. IBM RACF, CA Top Secret)nonono

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Adabas infodenotes "adaptable data base"DatomicElasticsearchSphinxSTSdb
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