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

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

Editorial information provided by DB-Engines
NameAllegroGraph  Xexclude from comparisonDatabricks  Xexclude from comparisonGreenplum  Xexclude from comparisonTrino  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.Fast distributed SQL query engine for big data analytics. Forked from Presto and originally named PrestoSQLDistributed 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 DBMSRelational DBMSRelational DBMS
Secondary database modelsSpatial DBMSDocument store
Spatial DBMS
Document store
Key-value store
Spatial DBMS
Search engine
Time Series DBMS
Wide column store
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
Score5.28
Rank#61  Overall
#35  Relational DBMS
Score1.38
Rank#156  Overall
#72  Relational DBMS
Websiteallegrograph.comwww.databricks.comgreenplum.orgtrino.iowww.voltdb.com
Technical documentationfranz.com/­agraph/­support/­documentation/­current/­agraph-introduction.htmldocs.databricks.comdocs.greenplum.orgtrino.io/­broadcast
trino.io/­docs/­current
docs.voltdb.com
DeveloperFranz Inc.DatabricksPivotal Software Inc.Trino Software FoundationVoltDB Inc.
Initial release2004201320052012 info2020 rebranded from PrestoSQL2010
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 Source infoApache Version 2.0Open 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

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Implementation languageJavaJava, C++
Server operating systemsLinux
OS X
Windows
hostedLinuxLinux
macOS infofor devlopment
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 dateyesyesyesyes
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
Secondary indexesyesyesyesdepending on connected data-sourceyes
SQL infoSupport of SQLSPARQL is used as query languagewith Databricks SQLyesyesyes infoonly a subset of SQL 99
APIs and other access methodsRESTful HTTP API
SPARQL
JDBC
ODBC
RESTful HTTP API
JDBC
ODBC
JDBC
RESTful HTTP API
Trino CLI
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
Go
Java
JavaScript (Node.js)
Python
R
Ruby
C#
C++
Erlang infonot officially supported
Go
Java
JavaScript infoNode.js
PHP
Python
Server-side scripts infoStored proceduresyes infoJavaScript or Common Lispuser defined functions and aggregatesyesyes, depending on connected data-sourceJava
Triggersyesyesnono
Partitioning methods infoMethods for storing different data on different nodeswith FederationShardingdepending on connected data-sourceSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
yesSource-replica replicationdepending on connected data-sourceMulti-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 Consistencydepending on connected data-source
Foreign keys infoReferential integritynoyesnono infoFOREIGN KEY constraints are not supported
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDdepending on connected data-sourceACID 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 persistentyesyesyesdepending on connected data-sourceyes infoSnapshots and command logging
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonono
User concepts infoAccess controlUsers with fine-grained authorization concept, user roles and pluggable authenticationfine grained access rights according to SQL-standardSQL standard access controlUsers and roles with access to stored procedures
More information provided by the system vendor
AllegroGraphDatabricksGreenplumTrinoVoltDB
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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