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DBMS > AllegroGraph vs. Databricks vs. Greenplum vs. OrigoDB vs. VoltDB

System Properties Comparison AllegroGraph vs. Databricks vs. Greenplum vs. OrigoDB vs. VoltDB

Editorial information provided by DB-Engines
NameAllegroGraph  Xexclude from comparisonDatabricks  Xexclude from comparisonGreenplum  Xexclude from comparisonOrigoDB  Xexclude from comparisonVoltDB  Xexclude from comparison
DescriptionHigh performance, persistent RDF store with additional support for Graph DBMSThe Databricks Lakehouse Platform combines elements of data lakes and data warehouses to provide a unified view onto structured and unstructured data. It is based on Apache Spark.Analytic Database platform built on PostgreSQL. Full name is Pivotal Greenplum Database infoA logical database in Greenplum is an array of individual PostgreSQL databases working together to present a single database image.A fully ACID in-memory object graph databaseDistributed 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 modelDocument store infowith version 6.5
Graph DBMS
RDF store
Vector DBMS
Document store
Relational DBMS
Relational DBMSDocument store
Object oriented DBMS
Relational DBMS
Secondary database modelsSpatial DBMSDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.84
Rank#204  Overall
#35  Document stores
#18  Graph DBMS
#7  RDF stores
#10  Vector DBMS
Score84.24
Rank#14  Overall
#2  Document stores
#9  Relational DBMS
Score7.71
Rank#46  Overall
#29  Relational DBMS
Score0.00
Rank#385  Overall
#54  Document stores
#21  Object oriented DBMS
Score1.38
Rank#156  Overall
#72  Relational DBMS
Websiteallegrograph.comwww.databricks.comgreenplum.orgorigodb.comwww.voltdb.com
Technical documentationfranz.com/­agraph/­support/­documentation/­current/­agraph-introduction.htmldocs.databricks.comdocs.greenplum.orgorigodb.com/­docsdocs.voltdb.com
DeveloperFranz Inc.DatabricksPivotal Software Inc.Robert Friberg et alVoltDB Inc.
Initial release2004201320052009 infounder the name LiveDB2010
Current release8.0, December 20237.0.0, September 202311.3, April 2022
License infoCommercial or Open Sourcecommercial infoLimited community edition freecommercialOpen Source infoApache 2.0Open SourceOpen Source infoAGPL for Community Edition, commercial license for Enterprise, AWS, and Pro Editions
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC#Java, C++
Server operating systemsLinux
OS X
Windows
hostedLinuxLinux
Windows
Linux
OS X infofor development
Data schemeyes infoRDF schemasFlexible Schema (defined schema, partial schema, schema free)yesyesyes
Typing infopredefined data types such as float or dateyesyesUser defined using .NET types and collectionsyes
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 infobulk load of XML files possibleyesyes infosince Version 4.2no infocan be achieved using .NET
Secondary indexesyesyesyesyesyes
SQL infoSupport of SQLSPARQL is used as query languagewith Databricks SQLyesnoyes infoonly a subset of SQL 99
APIs and other access methodsRESTful HTTP API
SPARQL
JDBC
ODBC
RESTful HTTP API
JDBC
ODBC
.NET Client API
HTTP API
LINQ
Java API
JDBC
RESTful HTTP/JSON API
Supported programming languagesC#
Clojure
Java
Lisp
Perl
Python
Ruby
Scala
Python
R
Scala
C
Java
Perl
Python
R
.NetC#
C++
Erlang infonot officially supported
Go
Java
JavaScript infoNode.js
PHP
Python
Server-side scripts infoStored proceduresyes infoJavaScript or Common Lispuser defined functions and aggregatesyesyesJava
Triggersyesyesyes infoDomain Eventsno
Partitioning methods infoMethods for storing different data on different nodeswith FederationShardinghorizontal partitioning infoclient side managed; servers are not synchronizedSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
yesSource-replica replicationSource-replica replicationMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesdepending on modelno infoFOREIGN KEY constraints are not supported
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDACIDACID infoTransactions are executed single-threaded within stored procedures
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes infoData access is serialized by the server
Durability infoSupport for making data persistentyesyesyesyes infoWrite ahead logyes infoSnapshots and command logging
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nononoyes
User concepts infoAccess controlUsers with fine-grained authorization concept, user roles and pluggable authenticationfine grained access rights according to SQL-standardRole based authorizationUsers and roles with access to stored procedures
More information provided by the system vendor
AllegroGraphDatabricksGreenplumOrigoDBVoltDB
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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