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DBMS > Blazegraph vs. Lovefield vs. OmniSci vs. SingleStore

System Properties Comparison Blazegraph vs. Lovefield vs. OmniSci vs. SingleStore

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Editorial information provided by DB-Engines
NameBlazegraph  Xexclude from comparisonLovefield  Xexclude from comparisonOmniSci infoFormerly named 'MapD', rebranded to 'OmniSci' in September 2018  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.Embeddable relational database for web apps written in pure JavaScriptA high performance, column-oriented RDBMS, specifically developed to harness the massive parallelism of modern CPU and GPU hardwareMySQL wire-compliant distributed RDBMS that combines an in-memory row-oriented and a disc-based column-oriented storage
Primary database modelGraph DBMS
RDF store
Relational DBMSRelational DBMSRelational DBMS
Secondary database modelsSpatial DBMSDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.96
Rank#180  Overall
#16  Graph DBMS
#8  RDF stores
Score0.30
Rank#269  Overall
#124  Relational DBMS
Score1.26
Rank#154  Overall
#75  Relational DBMS
Score6.51
Rank#59  Overall
#33  Relational DBMS
Websiteblazegraph.comgoogle.github.io/­lovefieldgithub.com/­omnisci/­omniscidb
www.omnisci.com
www.singlestore.com
Technical documentationwiki.blazegraph.comgithub.com/­google/­lovefield/­blob/­master/­docs/­spec_index.mddocs.omnisci.comdocs.singlestore.com
DeveloperBlazegraphGoogleMapD Technologies, Inc.SingleStore Inc.
Initial release2006201420162013
Current release2.1.5, March 20192.1.12, February 20175.6, April 20217.3, December 2020
License infoCommercial or Open SourceOpen Source infoextended commercial license availableOpen Source infoApache 2.0Open Source infoApache Version 2; enterprise edition availablecommercial infofree developer edition available
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.
SingleStore Managed Service: The world's fastest, most capable cloud database for operational analytics, machine learning, & AI. Available instantly with multi-cloud and hybrid-cloud capabilities.
Implementation languageJavaJavaScriptC++ and CUDAC++
Server operating systemsLinux
OS X
Windows
server-less, requires a JavaScript environment (browser, Node.js) infotested with Chrome, Firefox, IE, SafariLinuxLinux info64 bit version required
Data schemeschema-freeyesyesyes
Typing infopredefined data types such as float or dateyes infoRDF literal typesyesyesyes
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.nonono
Secondary indexesyesyesnoyes
SQL infoSupport of SQLSPARQL is used as query languageSQL-like query language infovia JavaScript builder patternyesyes, but no triggers and foreign keys
APIs and other access methodsJava API
RESTful HTTP API
SPARQL QUERY
SPARQL UPDATE
TinkerPop 3
JDBC
ODBC
Thrift
Vega
JDBC
ODBC
Supported programming languages.Net
C
C++
Java
JavaScript
PHP
Python
Ruby
JavaScriptAll languages supporting JDBC/ODBC/Thrift
Python
Bash
C
C#
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresyesnonoyes
TriggersnoUsing read-only observersnono
Partitioning methods infoMethods for storing different data on different nodesShardingnoneSharding infoRound robinSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesnoneMulti-source replicationSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyImmediate Consistency only within each node
Foreign keys infoReferential integrityyes infoRelationships in Graphsyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnoACID infoOnly isolation level: READ COMMITED
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes, multi-version concurrency control (MVCC)
Durability infoSupport for making data persistentyesyes, by using IndexedDB or the cloud service Firebase Realtime Databaseyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infousing MemoryDByesyes
User concepts infoAccess controlSecurity and Authentication via Web Application Container (Tomcat, Jetty)nofine grained access rights according to SQL-standardfine grained access rights according to SQL-standard
More information provided by the system vendor
BlazegraphLovefieldOmniSci infoFormerly named 'MapD', rebranded to 'OmniSci' in September 2018SingleStore infoformer name was MemSQL
Specific characteristicsSingleStore is The No Limits Database™, powering modern applications and analytical...
» more
Competitive advantagesPerformance - Shattering the Trillion-Rows-Per-Second Barrier Fast data ingest -...
» more
Typical application scenariosReal-Time Analytics Internet of Things Personalization and Recommendations Risk Management...
» more
Key customersComcast - Real-time Stream Processing Architecture DellEMC - Getting it Right Exactly...
» more
Market metricsCustomers in various industries worldwide -- US and International Industry Solutions:...
» more
Licensing and pricing modelsF ree Tier and Enterprise Edition
» more

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More resources
BlazegraphLovefieldOmniSci infoFormerly named 'MapD', rebranded to 'OmniSci' in September 2018SingleStore infoformer name was MemSQL
Recent citations in the news

Popularity of product to stimulate RDF Databases Software market outlook during 2021-2026
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Video: Blazegraph Accelerates Graph Computing with GPUs - insideHPC
20 December 2015, insideHPC

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