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DBMS > AllegroGraph vs. CrateDB vs. Galaxybase

System Properties Comparison AllegroGraph vs. CrateDB vs. Galaxybase

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Editorial information provided by DB-Engines
NameAllegroGraph  Xexclude from comparisonCrateDB  Xexclude from comparisonGalaxybase  Xexclude from comparison
DescriptionHigh performance, persistent RDF store with additional support for Graph DBMSDistributed Database based on LuceneScalable, ACID-compliant native distributed parallel graph platform
Primary database modelDocument store infowith version 6.5
Graph DBMS
RDF store
Document store
Spatial DBMS
Search engine
Time Series DBMS
Vector DBMS
Graph DBMS
Secondary database modelsSpatial DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.18
Rank#208  Overall
#33  Document stores
#17  Graph DBMS
#7  RDF stores
Score1.01
Rank#221  Overall
#35  Document stores
#4  Spatial DBMS
#15  Search engines
#18  Time Series DBMS
#7  Vector DBMS
Score0.00
Rank#400  Overall
#39  Graph DBMS
Websiteallegrograph.comcratedb.comgalaxybase.com
Technical documentationfranz.com/­agraph/­support/­documentation/­current/­agraph-introduction.htmlcratedb.com/­docs
DeveloperFranz Inc.CrateChuanglin(Createlink) Technology Co., Ltd 浙江创邻科技有限公司
Initial release200420132017
Current release7.3.1, December 2022Nov 20, November 2021
License infoCommercial or Open Sourcecommercial infoLimited community edition freeOpen Sourcecommercial
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
CrateDB Cloud: a distributed SQL database that spreads data and processing across an elastic cluster of shared nothing nodes. CrateDB Cloud enables data insights at scale on Microsoft Azure, AWS and Google Cloud Platform.
Implementation languageJavaC and Java
Server operating systemsLinux
OS X
Windows
All Operating Systems, including Kubernetes with CrateDB Kubernetes Operator supportLinux
Data schemeyes infoRDF schemasFlexible Schema (defined schema, partial schema, schema free)Strong typed schema
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 indexesyesyesyes
SQL infoSupport of SQLSPARQL is used as query languageyes, but no triggers and constraints, and PostgreSQL compatibilityno
APIs and other access methodsRESTful HTTP API
SPARQL
ADO.NET
JDBC
ODBC
PostgreSQL wire protocol
Prometheus Remote Read/Write
RESTful HTTP API
Browser interface
console (shell)
Graph API (Gremlin)
OpenCypher
Proprietary native API
Supported programming languagesC#
Clojure
Java
Lisp
Perl
Python
Ruby
Scala
.NET
Erlang
Go infocommunity maintained client
Java
JavaScript (Node.js) infocommunity maintained client
Perl infocommunity maintained client
PHP
Python
R
Ruby infocommunity maintained client
Scala infocommunity maintained client
Go
Java
Python
Server-side scripts infoStored proceduresyes infoJavaScript or Common Lispuser defined functions (Javascript)user defined procedures and functions
Triggersyesno
Partitioning methods infoMethods for storing different data on different nodeswith FederationShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
Configurable replication on table/partition-level
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationEventual Consistency
Read-after-write consistency on record level
Immediate Consistency
Foreign keys infoReferential integritynonoyes infoRelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDno infounique row identifiers can be used for implementing an optimistic concurrency control strategyACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes
User concepts infoAccess controlUsers with fine-grained authorization concept, user roles and pluggable authenticationrights management via user accountsRole-based access control
More information provided by the system vendor
AllegroGraphCrateDBGalaxybase
Specific characteristicsKnowledge Graph Platform Leader FedShard - Designed for Entity-Event Knowledge Graph...
» more
CrateDB is an open-source distributed SQL database that spreads data and processing...
» more
Competitive advantagesAllegroGraph is uniquely suited to support adhoc queries through SPARQL, Prolog and...
» more
Response time in milliseconds: e ven for complex ad-hoc queries. Massive scaling...
» more
Typical application scenarios​ IoT: accelerate your IIoT projects with CrateDB, delivering real-time analytics...
» more
Key customersAcross all continents, CrateDB is used by companies of all sizes to meet the most...
» more
Market metricsThe CrateDB open source project was started in 2013 Honorable Mention in 2021 Gartner®...
» more
Licensing and pricing modelsSee CrateDB pricing >
» more
News

AllegroGraph Named “2023 Best Knowledge Graph” by KMWorld Readers’ Choice
7 November 2023

Enterprise AI World – Using Knowledge Graphs & Data Fabric as a Pillar for AI
6 November 2023

AI 100 Top Company – Franz Inc.
17 July 2023

Enterprise Data World Conference 2023
6 July 2023

DBTA 100 Companies that Matter Most in Data
20 June 2023

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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
AllegroGraphCrateDBGalaxybase
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