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DBMS > Elasticsearch vs. OrigoDB vs. Transbase

System Properties Comparison Elasticsearch vs. OrigoDB vs. Transbase

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Editorial information provided by DB-Engines
NameElasticsearch  Xexclude from comparisonOrigoDB  Xexclude from comparisonTransbase  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 metricA fully ACID in-memory object graph databaseA resource-optimized, high-performance, universally applicable RDBMS
Primary database modelSearch engineDocument store
Object oriented DBMS
Relational 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
Score0.03
Rank#378  Overall
#51  Document stores
#18  Object oriented DBMS
Score0.15
Rank#337  Overall
#147  Relational DBMS
Websitewww.elastic.co/­elasticsearchorigodb.comwww.transaction.de/­en/­products/­transbase.html
Technical documentationwww.elastic.co/­guide/­en/­elasticsearch/­reference/­current/­index.htmlorigodb.com/­docswww.transaction.de/­en/­products/­transbase/­features.html
DeveloperElasticRobert Friberg et alTransaction Software GmbH
Initial release20102009 infounder the name LiveDB1987
Current release8.6, January 2023Transbase 8.3, 2022
License infoCommercial or Open SourceOpen Source infoElastic LicenseOpen Sourcecommercial infofree development 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 languageJavaC#C and C++
Server operating systemsAll OS with a Java VMLinux
Windows
FreeBSD
Linux
macOS
Solaris
Windows
Data schemeschema-free infoFlexible type definitions. Once a type is defined, it is persistentyesyes
Typing infopredefined data types such as float or dateyesUser defined using .NET types and collectionsyes
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.nono infocan be achieved using .NETno
Secondary indexesyes infoAll search fields are automatically indexedyesyes
SQL infoSupport of SQLSQL-like query languagenoyes
APIs and other access methodsJava API
RESTful HTTP/JSON API
.NET Client API
HTTP API
LINQ
ADO.NET
JDBC
ODBC
Proprietary native API
Supported programming languages.Net
Groovy
Community Contributed Clients
Java
JavaScript
Perl
PHP
Python
Ruby
.NetC
C#
C++
Java
JavaScript
Kotlin
Objective-C
PHP
Python
Server-side scripts infoStored proceduresyesyesyes
Triggersyes infoby using the 'percolation' featureyes infoDomain Eventsyes
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioning infoclient side managed; servers are not synchronized
Replication methods infoMethods for redundantly storing data on multiple nodesyesSource-replica replicationSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsES-Hadoop Connectornono
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
Foreign keys infoReferential integritynodepending on modelyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDyes
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyes infoWrite ahead logyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.Memcached and Redis integrationyesno
User concepts infoAccess controlRole based authorizationfine grained access rights according to SQL-standard

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More resources
ElasticsearchOrigoDBTransbase
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