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DBMS > Elasticsearch vs. EXASOL vs. GridDB vs. TigerGraph

System Properties Comparison Elasticsearch vs. EXASOL vs. GridDB vs. TigerGraph

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Editorial information provided by DB-Engines
NameElasticsearch  Xexclude from comparisonEXASOL  Xexclude from comparisonGridDB  Xexclude from comparisonTigerGraph  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 metricHigh-performance, in-memory, MPP database specifically designed for in-memory analytics.Scalable in-memory time series database optimized for IoT and Big DataA complete, distributed, parallel graph computing platform supporting web-scale data analytics in real-time
Primary database modelSearch engineRelational DBMSTime Series DBMSGraph DBMS
Secondary database modelsDocument store
Spatial DBMS
Vector DBMS
Key-value store
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score135.35
Rank#7  Overall
#1  Search engines
Score1.99
Rank#124  Overall
#58  Relational DBMS
Score1.95
Rank#128  Overall
#10  Time Series DBMS
Score1.83
Rank#139  Overall
#13  Graph DBMS
Websitewww.elastic.co/­elasticsearchwww.exasol.comgriddb.netwww.tigergraph.com
Technical documentationwww.elastic.co/­guide/­en/­elasticsearch/­reference/­current/­index.htmlwww.exasol.com/­resourcesdocs.griddb.netdocs.tigergraph.com
DeveloperElasticExasolToshiba Corporation
Initial release2010200020132017
Current release8.6, January 20235.1, August 2022
License infoCommercial or Open SourceOpen Source infoElastic LicensecommercialOpen Source infoAGPL version 3 and Apache License, version 2.0 , commercial license (standard and advanced editions) also availablecommercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC++C++
Server operating systemsAll OS with a Java VMLinuxLinux
Data schemeschema-free infoFlexible type definitions. Once a type is defined, it is persistentyesyesyes
Typing infopredefined data types such as float or dateyesyesyes infonumerical, string, blob, geometry, boolean, timestampyes
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
Secondary indexesyes infoAll search fields are automatically indexedyesyes
SQL infoSupport of SQLSQL-like query languageyesSQL92, SQL-like TQL (Toshiba Query Language)SQL-like query language (GSQL)
APIs and other access methodsJava API
RESTful HTTP/JSON API
.Net
JDBC
ODBC
WebSocket
JDBC
ODBC
Proprietary protocol
RESTful HTTP/JSON API
GSQL (TigerGraph Query Language)
Kafka
RESTful HTTP/JSON API
Supported programming languages.Net
Groovy
Community Contributed Clients
Java
JavaScript
Perl
PHP
Python
Ruby
Java
Lua
Python
R
C
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
C++
Java
Server-side scripts infoStored proceduresyesuser defined functionsnoyes
Triggersyes infoby using the 'percolation' featureyesyesno
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsES-Hadoop Connectoryes infoHadoop integrationConnector for using GridDB as an input source and output destination for Hadoop MapReduce jobsyes
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 consistency within container, eventual consistency across containers
Foreign keys infoReferential integritynoyesnoyes infoRelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACID at container levelACID
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.Memcached and Redis integrationyesyesno
User concepts infoAccess controlAccess rights for users, groups and roles according to SQL-standardAccess rights for users can be defined per databaseRole-based access control
More information provided by the system vendor
ElasticsearchEXASOLGridDBTigerGraph
Specific characteristicsGridDB is a highly scalable, in-memory time series database optimized for IoT and...
» more
Competitive advantages1. Optimized for IoT Equipped with Toshiba's proprietary key-container data model...
» more
Typical application scenariosFactory IoT, Automative Industry, Energy, BEMS, Smart Community, Monitoring system.
» more
Key customersDenso International [see use case ] An Electric Power company [see use case ] Ishinomaki...
» more
Market metricsGitHub trending repository
» more
Licensing and pricing modelsOpen Source license (AGPL v3 & Apache v2) Commercial license (subscription)
» more

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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
ElasticsearchEXASOLGridDBTigerGraph
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