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DBMS > Blazegraph vs. Drizzle vs. Kinetica vs. VoltDB

System Properties Comparison Blazegraph vs. Drizzle vs. Kinetica vs. VoltDB

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Editorial information provided by DB-Engines
NameBlazegraph  Xexclude from comparisonDrizzle  Xexclude from comparisonKinetica  Xexclude from comparisonVoltDB  Xexclude from comparison
Amazon has acquired Blazegraph's domain and (probably) product. It is said that Amazon Neptune is based on Blazegraph.Drizzle has published its last release in September 2012. The open-source project is discontinued and Drizzle is excluded from the DB-Engines ranking.
DescriptionHigh-performance graph database supporting Semantic Web (RDF/SPARQL) and Graph Database (tinkerpop3, blueprints, vertex-centric) APIs with scale-out and High Availability.MySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.Fully vectorized database across both GPUs and CPUsDistributed In-Memory NewSQL RDBMS infoUsed for OLTP applications with a high frequency of relatively simple transactions, that can hold all their data in memory
Primary database modelGraph DBMS
RDF store
Relational DBMSRelational DBMSRelational DBMS
Secondary database modelsSpatial DBMS
Time Series 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
Score0.64
Rank#236  Overall
#109  Relational DBMS
Score1.44
Rank#158  Overall
#73  Relational DBMS
Websiteblazegraph.comwww.kinetica.comwww.voltdb.com
Technical documentationwiki.blazegraph.comdocs.kinetica.comdocs.voltdb.com
DeveloperBlazegraphDrizzle project, originally started by Brian AkerKineticaVoltDB Inc.
Initial release2006200820122010
Current release2.1.5, March 20197.2.4, September 20127.1, August 202111.3, April 2022
License infoCommercial or Open SourceOpen Source infoextended commercial license availableOpen Source infoGNU GPLcommercialOpen Source infoAGPL for Community Edition, commercial license for Enterprise, AWS, and Pro Editions
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++C, C++Java, C++
Server operating systemsLinux
OS X
Windows
FreeBSD
Linux
OS X
LinuxLinux
OS X infofor development
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.no
Secondary indexesyesyesyesyes
SQL infoSupport of SQLSPARQL is used as query languageyes infowith proprietary extensionsSQL-like DML and DDL statementsyes infoonly a subset of SQL 99
APIs and other access methodsJava API
RESTful HTTP API
SPARQL QUERY
SPARQL UPDATE
TinkerPop 3
JDBCJDBC
ODBC
RESTful HTTP API
Java API
JDBC
RESTful HTTP/JSON API
Supported programming languages.Net
C
C++
Java
JavaScript
PHP
Python
Ruby
C
C++
Java
PHP
C++
Java
JavaScript (Node.js)
Python
C#
C++
Erlang infonot officially supported
Go
Java
JavaScript infoNode.js
PHP
Python
Server-side scripts infoStored proceduresyesnouser defined functionsJava
Triggersnono infohooks for callbacks inside the server can be used.yes infotriggers when inserted values for one or more columns fall within a specified rangeno
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesMulti-source replication
Source-replica replication
Source-replica replicationMulti-source replication
Source-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 Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integrityyes infoRelationships in Graphsyesyesno infoFOREIGN KEY constraints are not supported
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnoACID infoTransactions are executed single-threaded within stored procedures
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infoData access is serialized by the server
Durability infoSupport for making data persistentyesyesyesyes infoSnapshots and command logging
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infoGPU vRAM or System RAM
User concepts infoAccess controlSecurity and Authentication via Web Application Container (Tomcat, Jetty)Pluggable authentication mechanisms infoe.g. LDAP, HTTPAccess rights for users and roles on table levelUsers and roles with access to stored procedures

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More resources
BlazegraphDrizzleKineticaVoltDB
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