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DBMS > AllegroGraph vs. GridGain vs. SurrealDB vs. TerminusDB

System Properties Comparison AllegroGraph vs. GridGain vs. SurrealDB vs. TerminusDB

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Editorial information provided by DB-Engines
NameAllegroGraph  Xexclude from comparisonGridGain  Xexclude from comparisonSurrealDB  Xexclude from comparisonTerminusDB infoformer name was DataChemist  Xexclude from comparison
DescriptionHigh performance, persistent RDF store with additional support for Graph DBMSGridGain is an in-memory computing platform, built on Apache IgniteA fully ACID transactional, developer-friendly, multi-model DBMSScalable Graph Database platform making enterprise data available by exploiting inferred entities and relationships
Primary database modelDocument store infowith version 6.5
Graph DBMS
RDF store
Vector DBMS
Key-value store
Relational DBMS
Document store
Graph DBMS
Graph DBMS
Secondary database modelsSpatial DBMSDocument store
RDF store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.06
Rank#187  Overall
#30  Document stores
#17  Graph DBMS
#7  RDF stores
#7  Vector DBMS
Score1.47
Rank#154  Overall
#26  Key-value stores
#72  Relational DBMS
Score0.86
Rank#203  Overall
#34  Document stores
#18  Graph DBMS
Score0.17
Rank#325  Overall
#29  Graph DBMS
Websiteallegrograph.comwww.gridgain.comsurrealdb.comterminusdb.com
Technical documentationfranz.com/­agraph/­support/­documentation/­current/­agraph-introduction.htmlwww.gridgain.com/­docs/­index.htmlsurrealdb.com/­docsterminusdb.github.io/­terminusdb/­#
DeveloperFranz Inc.GridGain Systems, Inc.SurrealDB LtdDataChemist Ltd.
Initial release2004200720222018
Current release8.0, December 2023GridGain 8.5.1v1.5.0, May 202411.0.0, January 2023
License infoCommercial or Open Sourcecommercial infoLimited community edition freecommercialOpen SourceOpen Source infoGPL V3
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 languageJava, C++, .NetRustProlog, Rust
Server operating systemsLinux
OS X
Windows
Linux
OS X
Solaris
Windows
Linux
macOS
Windows
Linux
Data schemeyes infoRDF schemasyesschema-freeyes
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.no infobulk load of XML files possibleyesno
Secondary indexesyesyes
SQL infoSupport of SQLSPARQL is used as query languageANSI-99 for query and DML statements, subset of DDLSQL-like query languageSQL-like query language (WOQL)
APIs and other access methodsRESTful HTTP API
SPARQL
HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
GraphQL
RESTful HTTP API
WebSocket
OWL
RESTful HTTP API
WOQL (Web Object Query Language)
Supported programming languagesC#
Clojure
Java
Lisp
Perl
Python
Ruby
Scala
C#
C++
Java
PHP
Python
Ruby
Scala
Deno
Go
JavaScript (Node.js)
Rust
JavaScript
Python
Server-side scripts infoStored proceduresyes infoJavaScript or Common Lispyes (compute grid and cache interceptors can be used instead)yes
Triggersyesyes (cache interceptors and events)yes
Partitioning methods infoMethods for storing different data on different nodeswith FederationShardingGraph Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
yes (replicated cache)Journaling Streams
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes (compute grid and hadoop accelerator)nono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistency
Foreign keys infoReferential integritynonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoin-memory journaling
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes
User concepts infoAccess controlUsers with fine-grained authorization concept, user roles and pluggable authenticationSecurity Hooks for custom implementationsyes, based on authentication and database rulesRole-based access control
More information provided by the system vendor
AllegroGraphGridGainSurrealDBTerminusDB infoformer name was DataChemist
Specific characteristicsKnowledge Graph Platform Leader FedShard - Designed for Entity-Event Knowledge Graph...
» more
Competitive advantagesAllegroGraph is uniquely suited to support adhoc queries through SPARQL, Prolog and...
» more
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