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DBMS > AllegroGraph vs. Datastax Enterprise vs. TerminusDB

System Properties Comparison AllegroGraph vs. Datastax Enterprise vs. TerminusDB

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Editorial information provided by DB-Engines
NameAllegroGraph  Xexclude from comparisonDatastax Enterprise  Xexclude from comparisonTerminusDB infoformer name was DataChemist  Xexclude from comparison
DescriptionHigh performance, persistent RDF store with additional support for Graph DBMSDataStax Enterprise (DSE) is the always-on, scalable data platform built on Apache Cassandra and designed for hybrid Cloud. DSE integrates graph, search, analytics, administration, developer tooling, and monitoring into a unified platform.Scalable 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
Wide column storeGraph DBMS
Secondary database modelsSpatial DBMSDocument store
Graph DBMS
Spatial DBMS
Search engine
Vector DBMS
Document 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
Score5.80
Rank#60  Overall
#4  Wide column stores
Score0.17
Rank#325  Overall
#29  Graph DBMS
Websiteallegrograph.comwww.datastax.com/­products/­datastax-enterpriseterminusdb.com
Technical documentationfranz.com/­agraph/­support/­documentation/­current/­agraph-introduction.htmldocs.datastax.comterminusdb.github.io/­terminusdb/­#
DeveloperFranz Inc.DataStaxDataChemist Ltd.
Initial release200420112018
Current release8.0, December 20236.8, April 202011.0.0, January 2023
License infoCommercial or Open Sourcecommercial infoLimited community edition freecommercialOpen Source infoGPL V3
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaProlog, Rust
Server operating systemsLinux
OS X
Windows
Linux
OS X
Linux
Data schemeyes infoRDF schemasschema-freeyes
Typing infopredefined data types such as float or dateyesyesyes
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 possiblenono
Secondary indexesyesyes
SQL infoSupport of SQLSPARQL is used as query languageSQL-like DML and DDL statements (CQL); Spark SQLSQL-like query language (WOQL)
APIs and other access methodsRESTful HTTP API
SPARQL
Proprietary protocol infoCQL (Cassandra Query Language)
TinkerPop Gremlin infowith DSE Graph
OWL
RESTful HTTP API
WOQL (Web Object Query Language)
Supported programming languagesC#
Clojure
Java
Lisp
Perl
Python
Ruby
Scala
C
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
JavaScript
Python
Server-side scripts infoStored proceduresyes infoJavaScript or Common Lispnoyes
Triggersyesyesyes
Partitioning methods infoMethods for storing different data on different nodeswith FederationSharding infono "single point of failure"Graph Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
configurable replication factor, datacenter aware, advanced replication for edge computingJournaling Streams
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistency
Tunable Consistency infoconsistency level can be individually decided with each write operation
Foreign keys infoReferential integritynonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDno infoAtomicity and isolation are supported for single operationsACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes 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 authenticationAccess rights for users can be defined per objectRole-based access control
More information provided by the system vendor
AllegroGraphDatastax EnterpriseTerminusDB infoformer name was DataChemist
Specific characteristicsKnowledge Graph Platform Leader FedShard - Designed for Entity-Event Knowledge Graph...
» more
DataStax Enterprise is scale-out data infrastructure for enterprises that need to...
» more
Competitive advantagesAllegroGraph is uniquely suited to support adhoc queries through SPARQL, Prolog and...
» more
Supporting the following application requirements: Zero downtime - Built on Apache...
» more
Typical application scenariosApplications that must be massively and linearly scalable with 100% uptime and able...
» more
Key customersCapital One, Cisco, Comcast, eBay, McDonald's, Microsoft, Safeway, Sony, UBS, and...
» more
Market metricsAmong the Forbes 100 Most Innovative Companies, DataStax is trusted by 5 of the top...
» more
Licensing and pricing modelsAnnual 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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