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DBMS > AgensGraph vs. Elasticsearch vs. EXASOL vs. GigaSpaces vs. TigerGraph

System Properties Comparison AgensGraph vs. Elasticsearch vs. EXASOL vs. GigaSpaces vs. TigerGraph

Editorial information provided by DB-Engines
NameAgensGraph  Xexclude from comparisonElasticsearch  Xexclude from comparisonEXASOL  Xexclude from comparisonGigaSpaces  Xexclude from comparisonTigerGraph  Xexclude from comparison
DescriptionMulti-model database supporting relational and graph data models and built upon 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 metricHigh-performance, in-memory, MPP database specifically designed for in-memory analytics.High performance in-memory data grid platform, powering three products: Smart Cache, Smart ODS (Operational Data Store), Smart Augmented TransactionsA complete, distributed, parallel graph computing platform supporting web-scale data analytics in real-time
Primary database modelGraph DBMS
Relational DBMS
Search engineRelational DBMSDocument store
Object oriented DBMS infoValues are user defined objects
Graph DBMS
Secondary database modelsDocument store
Spatial DBMS
Vector DBMS
Graph DBMS
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.20
Rank#321  Overall
#27  Graph DBMS
#143  Relational DBMS
Score135.35
Rank#7  Overall
#1  Search engines
Score1.99
Rank#124  Overall
#58  Relational DBMS
Score0.97
Rank#192  Overall
#32  Document stores
#6  Object oriented DBMS
Score1.83
Rank#139  Overall
#13  Graph DBMS
Websitebitnine.net/­agensgraphwww.elastic.co/­elasticsearchwww.exasol.comwww.gigaspaces.comwww.tigergraph.com
Technical documentationbitnine.net/­documentationwww.elastic.co/­guide/­en/­elasticsearch/­reference/­current/­index.htmlwww.exasol.com/­resourcesdocs.gigaspaces.com/­latest/­landing.htmldocs.tigergraph.com
DeveloperBitnine Global Inc.ElasticExasolGigaspaces Technologies
Initial release20162010200020002017
Current release2.1, December 20188.6, January 202315.5, September 2020
License infoCommercial or Open SourceOpen Source infoApache License 2.0Open Source infoElastic LicensecommercialOpen Source infoApache Version 2; Commercial licenses availablecommercial
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 languageCJavaJava, C++, .NetC++
Server operating systemsLinux
OS X
Windows
All OS with a Java VMLinux
macOS
Solaris
Windows
Linux
Data schemedepending on used data modelschema-free infoFlexible type definitions. Once a type is defined, it is persistentyesschema-freeyes
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.nononono infoXML can be used for describing objects metadatano
Secondary indexesyesyes infoAll search fields are automatically indexedyesyes
SQL infoSupport of SQLyesSQL-like query languageyesSQL-99 for query and DML statementsSQL-like query language (GSQL)
APIs and other access methodsCypher Query Language
JDBC
Java API
RESTful HTTP/JSON API
.Net
JDBC
ODBC
WebSocket
GigaSpaces LRMI
Hibernate
JCache
JDBC
JPA
ODBC
RESTful HTTP API
Spring Data
GSQL (TigerGraph Query Language)
Kafka
RESTful HTTP/JSON API
Supported programming languagesC
Java
JavaScript
Python
.Net
Groovy
Community Contributed Clients
Java
JavaScript
Perl
PHP
Python
Ruby
Java
Lua
Python
R
.Net
C++
Java
Python
Scala
C++
Java
Server-side scripts infoStored proceduresyesyesuser defined functionsyesyes
Triggersnoyes infoby using the 'percolation' featureyesyes, event driven architectureno
Partitioning methods infoMethods for storing different data on different nodesno, but can be realized using table inheritanceShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationyesMulti-source replication infosynchronous or asynchronous
Source-replica replication infosynchronous or asynchronous
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoES-Hadoop Connectoryes infoHadoop integrationyes infoMap-Reduce pattern can be built with XAP task executorsyes
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 ConsistencyImmediate Consistency infoConsistency level configurable: ALL, QUORUM, ANY
Foreign keys infoReferential integrityyesnoyesnoyes infoRelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDACIDACID
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.noMemcached and Redis integrationyesyesno
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess rights for users, groups and roles according to SQL-standardRole-based access controlRole-based access control

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More resources
AgensGraphElasticsearchEXASOLGigaSpacesTigerGraph
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