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DBMS > Blazegraph vs. Kdb vs. SingleStore

System Properties Comparison Blazegraph vs. Kdb vs. SingleStore

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Editorial information provided by DB-Engines
NameBlazegraph  Xexclude from comparisonKdb  Xexclude from comparisonSingleStore infoformer name was MemSQL  Xexclude from comparison
Amazon has acquired Blazegraph's domain and (probably) product. It is said that Amazon Neptune is based on Blazegraph.
DescriptionHigh-performance graph database supporting Semantic Web (RDF/SPARQL) and Graph Database (tinkerpop3, blueprints, vertex-centric) APIs with scale-out and High Availability.High performance Time Series DBMSMySQL wire-compliant distributed RDBMS that combines an in-memory row-oriented and a disc-based column-oriented storage with patented universal storage to handle transactional and analytical workloads in one single table type
Primary database modelGraph DBMS
RDF store
Time Series DBMS
Vector DBMS
Relational DBMS
Secondary database modelsRelational DBMSDocument store
Spatial DBMS
Time Series DBMS
Vector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.77
Rank#222  Overall
#20  Graph DBMS
#8  RDF stores
Score7.70
Rank#53  Overall
#3  Time Series DBMS
#1  Vector DBMS
Score5.91
Rank#61  Overall
#34  Relational DBMS
Websiteblazegraph.comkx.comwww.singlestore.com
Technical documentationwiki.blazegraph.comcode.kx.comdocs.singlestore.com
DeveloperBlazegraphKx Systems, a division of First Derivatives plcSingleStore Inc.
Initial release20062000 infokdb was released 2000, kdb+ in 20032013
Current release2.1.5, March 20193.6, May 20188.5, January 2024
License infoCommercial or Open SourceOpen Source infoextended commercial license availablecommercial infofree 32-bit versioncommercial infofree developer edition available
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.
SingleStoreDB Cloud: The world's fastest, modern cloud database for both operational (OLTP) and analytical (OLAP) workloads. Available instantly with multi-cloud and hybrid-cloud capabilities
Implementation languageJavaqC++, Go
Server operating systemsLinux
OS X
Windows
Linux
OS X
Solaris
Windows
Linux info64 bit version required
Data schemeschema-freeyesyes
Typing infopredefined data types such as float or dateyes infoRDF literal typesyesyes
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.yesno
Secondary indexesyesyes infotable attribute 'grouped'yes
SQL infoSupport of SQLSPARQL is used as query languageSQL-like query language (q)yes infobut no triggers and foreign keys
APIs and other access methodsJava API
RESTful HTTP API
SPARQL QUERY
SPARQL UPDATE
TinkerPop 3
HTTP API
JDBC
Jupyter
Kafka
ODBC
WebSocket
Cluster Management API infoas HTTP Rest and CLI
HTTP API
JDBC
MongoDB API
ODBC
Supported programming languages.Net
C
C++
Java
JavaScript
PHP
Python
Ruby
C
C#
C++
Go
J
Java
JavaScript
Lua
MatLab
Perl
PHP
Python
R
Scala
Bash
C
C#
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresyesuser defined functionsyes
Triggersnoyes infowith viewsno
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioningSharding infohash partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyesSource-replica replicationSource-replica replication infostores two copies of each physical data partition on two separate nodes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono infosimilar paradigm used for internal processingno infocan define user-defined aggregate functions for map-reduce-style calculations
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infoRelationships in Graphsyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes, multi-version concurrency control (MVCC)
Durability infoSupport for making data persistentyesyesyes infoAll updates are persistent, including those to disk-based columnstores and memory-based row stores. Transaction commits are supported via write-ahead log.
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes
User concepts infoAccess controlSecurity and Authentication via Web Application Container (Tomcat, Jetty)rights management via user accountsFine grained access control via users, groups and roles
More information provided by the system vendor
BlazegraphKdbSingleStore infoformer name was MemSQL
Specific characteristicsIntegrated columnar database & programming system for streaming, real time and historical...
» more
SingleStore offers a fully-managed , distributed, highly-scalable SQL database designed...
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Competitive advantagesprovides seamless scalability; runs on industry standard server platforms; is top-ranked...
» more
SingleStore’s competitive advantages include: Easy and Simplified Architecture with...
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Typical application scenariostick database streaming sensor data massive intelligence applications oil and gas...
» more
Driving Fast Analytics: SingleStore delivers the fastest and most scalable reporting...
» more
Key customersGoldman Sachs Morgan Stanley Merrill Lynch J.P. Morgan Deutsche Bank IEX Securities...
» more
IEX Cloud : Improves Financial Data Distribution Speed 15x with Singlestore DB Comcast,...
» more
Market metricskdb+ performance and reliability proven by our customers in critical infrastructure...
» more
Customers in various industries worldwide including US and International Industry...
» more
Licensing and pricing modelsupon request
» more
F ree Tier and Enterprise Edition
» more

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More resources
BlazegraphKdbSingleStore infoformer name was MemSQL
DB-Engines blog posts

Turbocharge Your Application Development Using WebAssembly With SingleStoreDB
17 October 2022,  Akmal Chaudhri, SingleStore (sponsor) 

Cloud-Based Analytics With SingleStoreDB
9 June 2022,  Akmal Chaudhri, SingleStore (sponsor) 

SingleStore: The Increasing Momentum of Multi-Model Database Systems
14 February 2022,  Akmal Chaudhri, SingleStore (sponsor) 

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