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DBMS > Blazegraph vs. CrateDB vs. eXtremeDB vs. FoundationDB vs. MonetDB

System Properties Comparison Blazegraph vs. CrateDB vs. eXtremeDB vs. FoundationDB vs. MonetDB

Editorial information provided by DB-Engines
NameBlazegraph  Xexclude from comparisonCrateDB  Xexclude from comparisoneXtremeDB  Xexclude from comparisonFoundationDB  Xexclude from comparisonMonetDB  Xexclude from comparison
Amazon has acquired Blazegraph's domain and (probably) product. It is said that Amazon Neptune is based on Blazegraph.Created as commercial project in 2013, FoundationDB has been acquired by Apple in March 2015 and was withdrawn from the market. As a consequence, the product was removed from the DB-Engines ranking. In April 2018, Apple open-sourced FoundationDB and it therefore reappears in the ranking.
DescriptionHigh-performance graph database supporting Semantic Web (RDF/SPARQL) and Graph Database (tinkerpop3, blueprints, vertex-centric) APIs with scale-out and High Availability.Distributed Database based on LuceneNatively in-memory DBMS with options for persistency, high-availability and clusteringOrdered key-value store. Core features are complimented by layers.A relational database management system that stores data in columns
Primary database modelGraph DBMS
RDF store
Document store
Spatial DBMS
Search engine
Time Series DBMS
Vector DBMS
Relational DBMS
Time Series DBMS
Document store infosupported via specific layer
Key-value store
Relational DBMS infosupported via specific SQL-layer
Relational DBMS
Secondary database modelsRelational DBMSDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.75
Rank#219  Overall
#19  Graph DBMS
#8  RDF stores
Score0.73
Rank#224  Overall
#37  Document stores
#5  Spatial DBMS
#16  Search engines
#19  Time Series DBMS
#8  Vector DBMS
Score0.74
Rank#223  Overall
#103  Relational DBMS
#18  Time Series DBMS
Score1.03
Rank#190  Overall
#31  Document stores
#28  Key-value stores
#89  Relational DBMS
Score1.72
Rank#145  Overall
#67  Relational DBMS
Websiteblazegraph.comcratedb.comwww.mcobject.comgithub.com/­apple/­foundationdbwww.monetdb.org
Technical documentationwiki.blazegraph.comcratedb.com/­docswww.mcobject.com/­docs/­extremedb.htmapple.github.io/­foundationdbwww.monetdb.org/­Documentation
DeveloperBlazegraphCrateMcObjectFoundationDBMonetDB BV
Initial release20062013200120132004
Current release2.1.5, March 20198.2, 20216.2.28, November 2020Dec2023 (11.49), December 2023
License infoCommercial or Open SourceOpen Source infoextended commercial license availableOpen SourcecommercialOpen Source infoApache 2.0Open Source infoMozilla Public License 2.0
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.
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 languageJavaJavaC and C++C++C
Server operating systemsLinux
OS X
Windows
All Operating Systems, including Kubernetes with CrateDB Kubernetes Operator supportAIX
HP-UX
Linux
macOS
Solaris
Windows
Linux
OS X
Windows
FreeBSD
Linux
OS X
Solaris
Windows
Data schemeschema-freeFlexible Schema (defined schema, partial schema, schema free)yesschema-free infosome layers support schemasyes
Typing infopredefined data types such as float or dateyes infoRDF literal typesyesyesno infosome layers support typingyes
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.nono infosupport of XML interfaces available
Secondary indexesyesyesyesnoyes
SQL infoSupport of SQLSPARQL is used as query languageyes, but no triggers and constraints, and PostgreSQL compatibilityyes infowith the option: eXtremeSQLsupported in specific SQL layer onlyyes infoSQL 2003 with some extensions
APIs and other access methodsJava API
RESTful HTTP API
SPARQL QUERY
SPARQL UPDATE
TinkerPop 3
ADO.NET
JDBC
ODBC
PostgreSQL wire protocol
Prometheus Remote Read/Write
RESTful HTTP API
.NET Client API
JDBC
JNI
ODBC
Proprietary protocol
RESTful HTTP API
JDBC
native C library infoMAPI library (MonetDB application programming interface)
ODBC
Supported programming languages.Net
C
C++
Java
JavaScript
PHP
Python
Ruby
.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
.Net
C
C#
C++
Java
Lua
Python
Scala
.Net
C
C++
Go
Java
JavaScript infoNode.js
PHP
Python
Ruby
Swift
C
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Server-side scripts infoStored proceduresyesuser defined functions (Javascript)yesin SQL-layer onlyyes, in SQL, C, R
Triggersnonoyes infoby defining eventsnoyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardinghorizontal partitioning / shardingShardingSharding via remote tables
Replication methods infoMethods for redundantly storing data on multiple nodesyesConfigurable replication on table/partition-levelActive Replication Fabric™ for IoT
Multi-source replication infoby means of eXtremeDB Cluster option
Source-replica replication infoby means of eXtremeDB High Availability option
yesnone infoSource-replica replication available in experimental status
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
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 ConsistencyLinearizable consistency
Foreign keys infoReferential integrityyes infoRelationships in Graphsnoyesin SQL-layer onlyyes
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 strategyACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoOptimistic (MVCC) and pessimistic (locking) strategies availableyesyes
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.noyes
User concepts infoAccess controlSecurity and Authentication via Web Application Container (Tomcat, Jetty)rights management via user accountsnofine grained access rights according to SQL-standard
More information provided by the system vendor
BlazegraphCrateDBeXtremeDBFoundationDBMonetDB
Specific characteristicsThe enterprise database for time series, documents, and vectors. Distributed - Native...
» more
eXtremeDB is an in-memory and/or persistent database system that offers an ultra-small...
» more
Competitive advantagesResponse time in milliseconds: e ven for complex ad-hoc queries. Massive scaling...
» more
eXtremeDB databases can be modeled relationally or as objects and can utilize SQL...
» more
Typical application scenarios​ IoT: accelerate your IIoT projects with CrateDB, delivering real-time analytics...
» more
IoT application across all markets: Industrial Control, Netcom, Telecom, Defense,...
» more
Key customersAcross all continents, CrateDB is used by companies of all sizes to meet the most...
» more
Schneider Electronics, F5 Networks, TNS, Boeing, Northrop Grumman, GoPro, ViaSat,...
» more
Market metricsThe CrateDB open source project was started in 2013 Honorable Mention in 2021 Gartner®...
» more
With hundreds of customers and over 30 million devices/applications using the product...
» more
Licensing and pricing modelsSee CrateDB pricing >
» more
For server use cases, there is a simple per-server license irrespective of the number...
» more

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BlazegraphCrateDBeXtremeDBFoundationDBMonetDB
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