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DBMS > Citus vs. Elasticsearch vs. Teradata Aster vs. Tibero vs. Ultipa

System Properties Comparison Citus vs. Elasticsearch vs. Teradata Aster vs. Tibero vs. Ultipa

Editorial information provided by DB-Engines
NameCitus  Xexclude from comparisonElasticsearch  Xexclude from comparisonTeradata Aster  Xexclude from comparisonTibero  Xexclude from comparisonUltipa  Xexclude from comparison
Teradata Aster has been integrated into other Teradata systems and therefore will be removed from the DB-Engines ranking.
DescriptionScalable hybrid operational and analytics RDBMS for big data use cases based on PostgreSQLA 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 metricPlatform for big data analytics on multistructured data sources and typesA secure RDBMS, designed for easy portability from OracleHigh performance Graph DBMS supporting HTAP high availability cluster deployment
Primary database modelRelational DBMSSearch engineRelational DBMSRelational DBMSGraph DBMS
Secondary database modelsDocument storeDocument store
Spatial DBMS
Vector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.15
Rank#117  Overall
#56  Relational DBMS
Score132.83
Rank#7  Overall
#1  Search engines
Score1.59
Rank#148  Overall
#68  Relational DBMS
Score0.19
Rank#330  Overall
#30  Graph DBMS
Websitewww.citusdata.comwww.elastic.co/­elasticsearchus.tmaxsoft.com/­products/­tiberowww.ultipa.com
Technical documentationdocs.citusdata.comwww.elastic.co/­guide/­en/­elasticsearch/­reference/­current/­index.htmltechnet.tmaxsoft.com/­upload/­download/­online/­tibero/­pver-20150504-000002/­index.htmlwww.ultipa.com/­document
DeveloperElasticTeradataTmaxSoftUltipa
Initial release20102010200520032019
Current release8.1, December 20188.6, January 20236, April 2015
License infoCommercial or Open SourceOpen Source infoAGPL, commercial license also availableOpen Source infoElastic Licensecommercialcommercialcommercial
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 languageCJavaC and Assembler
Server operating systemsLinuxAll OS with a Java VMLinuxAIX
HP-UX
Linux
Solaris
Windows
Data schemeyesschema-free infoFlexible type definitions. Once a type is defined, it is persistentFlexible Schema (defined schema, partial schema, schema free) infodefined schema within the relational store; partial schema or schema free in the Aster File Storeyes
Typing infopredefined data types such as float or dateyesyesyesyes
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.yes infospecific XML type available, but no XML query functionalitynoyes infoin Aster File Storeyes
Secondary indexesyesyes infoAll search fields are automatically indexedyesyes
SQL infoSupport of SQLyes infostandard, with numerous extensionsSQL-like query languageyesyes
APIs and other access methodsADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Java API
RESTful HTTP/JSON API
ADO.NET
JDBC
ODBC
OLE DB
JDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
Tibero CLI
RESTful HTTP API
Supported programming languages.Net
C
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
.Net
Groovy
Community Contributed Clients
Java
JavaScript
Perl
PHP
Python
Ruby
C
C#
C++
Java
Python
R
C
C#
C++
Cobol
Java
Objective-C
Perl
PHP
Python
Ruby
Visual Basic
C++
Go
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresuser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.yesR packagesPersistent Stored Procedure (PSM)
Triggersyesyes infoby using the 'percolation' featurenoyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardinghorizontal partitioning infoby range, hash, list or composite
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replication infoother methods possible by using 3rd party extensionsyesyes infoDimension tables are replicated across all nodes in the cluster. The number of replicas for the file store can be configured.Multi-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoES-Hadoop Connectoryes infoSQL Map-Reduce Frameworkno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual 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 depending on configurationImmediate Consistency
Foreign keys infoReferential integrityyesnonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noMemcached and Redis integrationnono infoplanned for next version
User concepts infoAccess controlfine grained access rights according to SQL-standardfine grained access rights according to SQL-standardfine grained access rights according to SQL-standard (SQL 92, SQL 99)

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More resources
CitusElasticsearchTeradata AsterTiberoUltipa
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