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DBMS > Elasticsearch vs. GBase vs. Microsoft Azure Table Storage vs. Teradata Aster vs. TigerGraph

System Properties Comparison Elasticsearch vs. GBase vs. Microsoft Azure Table Storage vs. Teradata Aster vs. TigerGraph

Editorial information provided by DB-Engines
NameElasticsearch  Xexclude from comparisonGBase  Xexclude from comparisonMicrosoft Azure Table Storage  Xexclude from comparisonTeradata Aster  Xexclude from comparisonTigerGraph  Xexclude from comparison
Teradata Aster has been integrated into other Teradata systems and therefore will be removed 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 metricWidely used RDBMS in China, including analytical, transactional, distributed transactional, and cloud-native data warehousing.A Wide Column Store for rapid development using massive semi-structured datasetsPlatform for big data analytics on multistructured data sources and typesA complete, distributed, parallel graph computing platform supporting web-scale data analytics in real-time
Primary database modelSearch engineRelational DBMSWide column storeRelational DBMSGraph DBMS
Secondary database modelsDocument store
Spatial DBMS
Vector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score135.35
Rank#7  Overall
#1  Search engines
Score1.07
Rank#185  Overall
#86  Relational DBMS
Score4.48
Rank#75  Overall
#6  Wide column stores
Score1.83
Rank#139  Overall
#13  Graph DBMS
Websitewww.elastic.co/­elasticsearchwww.gbase.cnazure.microsoft.com/­en-us/­services/­storage/­tableswww.tigergraph.com
Technical documentationwww.elastic.co/­guide/­en/­elasticsearch/­reference/­current/­index.htmldocs.tigergraph.com
DeveloperElasticGeneral Data Technology Co., Ltd.MicrosoftTeradata
Initial release20102004201220052017
Current release8.6, January 2023GBase 8a, GBase 8s, GBase 8c
License infoCommercial or Open SourceOpen Source infoElastic Licensecommercialcommercialcommercialcommercial
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC, Java, PythonC++
Server operating systemsAll OS with a Java VMLinuxhostedLinuxLinux
Data schemeschema-free infoFlexible type definitions. Once a type is defined, it is persistentyesschema-freeFlexible 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 dateyesyesyesyesyes
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.noyesnoyes infoin Aster File Storeno
Secondary indexesyes infoAll search fields are automatically indexedyesnoyes
SQL infoSupport of SQLSQL-like query languageStandard with numerous extensionsnoyesSQL-like query language (GSQL)
APIs and other access methodsJava API
RESTful HTTP/JSON API
ADO.NET
C API
JDBC
ODBC
RESTful HTTP APIADO.NET
JDBC
ODBC
OLE DB
GSQL (TigerGraph Query Language)
Kafka
RESTful HTTP/JSON API
Supported programming languages.Net
Groovy
Community Contributed Clients
Java
JavaScript
Perl
PHP
Python
Ruby
C#.Net
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
C
C#
C++
Java
Python
R
C++
Java
Server-side scripts infoStored proceduresyesuser defined functionsnoR packagesyes
Triggersyes infoby using the 'percolation' featureyesnonono
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioning (by range, list and hash) and vertical partitioningSharding infoImplicit feature of the cloud serviceSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesyesyes infoimplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.yes infoDimension tables are replicated across all nodes in the cluster. The number of replicas for the file store can be configured.
MapReduce infoOffers an API for user-defined Map/Reduce methodsES-Hadoop Connectornoyes infoSQL Map-Reduce Frameworkyes
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 ConsistencyImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integritynoyesnonoyes infoRelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDoptimistic lockingACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
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 integrationnonono
User concepts infoAccess controlyesAccess rights based on private key authentication or shared access signaturesfine grained access rights according to SQL-standardRole-based access control

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More resources
ElasticsearchGBaseMicrosoft Azure Table StorageTeradata AsterTigerGraph
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