DB-EnginesInfluxDB: Focus on building software with an easy-to-use serverless, scalable time series platformEnglish
Deutsch
Knowledge Base of Relational and NoSQL Database Management Systemsprovided by solid IT

DBMS > Blazegraph vs. HEAVY.AI vs. Lovefield vs. MariaDB vs. Tkrzw

System Properties Comparison Blazegraph vs. HEAVY.AI vs. Lovefield vs. MariaDB vs. Tkrzw

Editorial information provided by DB-Engines
NameBlazegraph  Xexclude from comparisonHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022  Xexclude from comparisonLovefield  Xexclude from comparisonMariaDB  Xexclude from comparisonTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet  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.A high performance, column-oriented RDBMS, specifically developed to harness the massive parallelism of modern CPU and GPU hardwareEmbeddable relational database for web apps written in pure JavaScriptMySQL application compatible open source RDBMS, enhanced with high availability, security, interoperability and performance capabilities. MariaDB ColumnStore provides a column-oriented storage engine and MariaDB Xpand supports distributed SQL.A concept of libraries, allowing an application program to store and query key-value pairs in a file. Successor of Tokyo Cabinet and Kyoto Cabinet
Primary database modelGraph DBMS
RDF store
Relational DBMSRelational DBMSRelational DBMSKey-value store
Secondary database modelsSpatial DBMSDocument store
Graph DBMS infowith OQGraph storage engine
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
Score1.77
Rank#141  Overall
#65  Relational DBMS
Score0.29
Rank#293  Overall
#133  Relational DBMS
Score93.21
Rank#13  Overall
#9  Relational DBMS
Score0.00
Rank#383  Overall
#60  Key-value stores
Websiteblazegraph.comgithub.com/­heavyai/­heavydb
www.heavy.ai
google.github.io/­lovefieldmariadb.com infoSite of MariaDB Corporation
mariadb.org infoSite of MariaDB Foundation
dbmx.net/­tkrzw
Technical documentationwiki.blazegraph.comdocs.heavy.aigithub.com/­google/­lovefield/­blob/­master/­docs/­spec_index.mdmariadb.com/­kb/­en/­library
DeveloperBlazegraphHEAVY.AI, Inc.GoogleMariaDB Corporation Ab (MariaDB Enterprise),
MariaDB Foundation (community MariaDB Server) infoThe lead developer Monty Widenius is the original author of MySQL
Mikio Hirabayashi
Initial release2006201620142009 infoFork of MySQL, which was first released in 19952020
Current release2.1.5, March 20195.10, January 20222.1.12, February 201711.3.2, February 20240.9.3, August 2020
License infoCommercial or Open SourceOpen Source infoextended commercial license availableOpen Source infoApache Version 2; enterprise edition availableOpen Source infoApache 2.0Open Source infoGPL version 2, commercial enterprise subscription availableOpen Source infoApache Version 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.
STACKIT MariaDB offers MariaDB in a fully managed version in enterprise grade, 100% GDPR-compliant.
Implementation languageJavaC++ and CUDAJavaScriptC and C++C++
Server operating systemsLinux
OS X
Windows
Linuxserver-less, requires a JavaScript environment (browser, Node.js) infotested with Chrome, Firefox, IE, SafariFreeBSD
Linux
Solaris
Windows infoColumnStore storage engine not available on Windows
Linux
macOS
Data schemeschema-freeyesyesyes infoDynamic columns are supportedschema-free
Typing infopredefined data types such as float or dateyes infoRDF literal typesyesyesyesno
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.nonoyesno
Secondary indexesyesnoyesyes
SQL infoSupport of SQLSPARQL is used as query languageyesSQL-like query language infovia JavaScript builder patternyes infowith proprietary extensionsno
APIs and other access methodsJava API
RESTful HTTP API
SPARQL QUERY
SPARQL UPDATE
TinkerPop 3
JDBC
ODBC
Thrift
Vega
ADO.NET
JDBC
ODBC
Proprietary native API
Supported programming languages.Net
C
C++
Java
JavaScript
PHP
Python
Ruby
All languages supporting JDBC/ODBC/Thrift
Python
JavaScriptAda
C
C#
C++
D
Eiffel
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
C++
Java
Python
Ruby
Server-side scripts infoStored proceduresyesnonoyes infoPL/SQL compatibility added with version 10.3no
TriggersnonoUsing read-only observersyesno
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoRound robinnoneseveral options for horizontal partitioning and Shardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesyesMulti-source replicationnoneMulti-source replication
Source-replica replication
none
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 configurationImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infoRelationships in Graphsnoyesyes infonot for MyISAM storage engineno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDACID infonot for MyISAM storage engine
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyes, by using IndexedDB or the cloud service Firebase Realtime Databaseyes infonot for in-memory storage engineyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes infousing MemoryDByes infowith MEMORY storage engineyes infousing specific database classes
User concepts infoAccess controlSecurity and Authentication via Web Application Container (Tomcat, Jetty)fine grained access rights according to SQL-standardnofine grained access rights according to SQL-standardno
More information provided by the system vendor
BlazegraphHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022LovefieldMariaDBTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet
Specific characteristicsMariaDB is the most powerful open source relational database – modern SQL and JSON...
» more
Competitive advantagesMariaDB Servers have many features unavailable in other open source relational databases....
» more
Typical application scenariosWeb, SaaS and Cloud operational applications that require high availability, scalability...
» more
Key customersDeutsche Bank, DBS Bank, Nasdaq, Red Hat, ServiceNow, Verizon and Walgreens Featured...
» more
Market metricsMariaDB is the default database in the LAMP stack supplied by Red Hat and SUSE Linux,...
» more
Licensing and pricing modelsMariaDB plc subscriptions cover our free, open source database, Community Server,...
» more

We invite representatives of system vendors to contact us for updating and extending the system information,
and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

Related products and services
3rd partiesNavicat for MariaDB provides a native environment for MariaDB database management and development.
» more

We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources
BlazegraphHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022LovefieldMariaDBTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet
DB-Engines blog posts

MariaDB strengthens its position in the open source RDBMS market
5 April 2018, Matthias Gelbmann

PostgreSQL is the DBMS of the Year 2017
2 January 2018, Paul Andlinger, Matthias Gelbmann

Big gains for Relational Database Management Systems in DB-Engines Ranking
2 February 2016, Matthias Gelbmann

show all

Recent citations in the news

Harnessing GPUs Delivers a Big Speedup for Graph Analytics
15 December 2015, Datanami

Back to the future: Does graph database success hang on query language?
5 March 2018, ZDNet

This AI Paper Introduces A Comprehensive RDF Dataset With Over 26 Billion Triples Covering Scholarly Data Across All Scientific Disciplines
19 August 2023, MarkTechPost

Representation Learning on RDF* and LPG Knowledge Graphs
24 September 2020, Towards Data Science

Faster with GPUs: 5 turbocharged databases
26 September 2016, InfoWorld

provided by Google News

Big Data Analytics: A Game Changer for Infrastructure
13 July 2023, Spiceworks News and Insights

HEAVY.AI Launches HEAVY 7.0, Introducing Real-Time Machine Learning Capabilities
19 April 2023, Business Wire

Making the most of geospatial intelligence
14 April 2023, InfoWorld

OmniSci Gets HEAVY New Name and New CEO
1 March 2022, Datanami

The insideBIGDATA IMPACT 50 List for Q4 2023
11 October 2023, insideBIGDATA

provided by Google News

MariaDB (NYSE:MRDB) Shares Up 1.1%
24 May 2024, Defense World

Private equity offer for MariaDB gets thumbsup from shareholders
21 May 2024, The Register

MariaDB plc: Shareholders speak, but execs are quiet
22 May 2024, InfoWorld

K1 Investment Management, LLC ("K1") Extension of Deadline Regarding Publication of Offer for MariaDB plc ...
22 May 2024, PR Newswire

MariaDB shareholders approve private equity takeover
22 May 2024, Computing

provided by Google News



Share this page

Featured Products

Milvus logo

Vector database designed for GenAI, fully equipped for enterprise implementation.
Try Managed Milvus for Free

Datastax Astra logo

Bring all your data to Generative AI applications with vector search enabled by the most scalable
vector database available.
Try for Free

AllegroGraph logo

Graph Database Leader for AI Knowledge Graph Applications - The Most Secure Graph Database Available.
Free Download

RaimaDB logo

RaimaDB, embedded database for mission-critical applications. When performance, footprint and reliability matters.
Try RaimaDB for free.

Neo4j logo

See for yourself how a graph database can make your life easier.
Use Neo4j online for free.

Present your product here