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DBMS > Greenplum vs. RavenDB vs. Valentina Server vs. VoltDB

System Properties Comparison Greenplum vs. RavenDB vs. Valentina Server vs. VoltDB

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Editorial information provided by DB-Engines
NameGreenplum  Xexclude from comparisonRavenDB  Xexclude from comparisonValentina Server  Xexclude from comparisonVoltDB  Xexclude from comparison
DescriptionAnalytic 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.Open Source Operational and Transactional Enterprise NoSQL Document DatabaseObject-relational database and reports serverDistributed 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 modelRelational DBMSDocument storeRelational DBMSRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
Graph DBMS
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score8.37
Rank#48  Overall
#30  Relational DBMS
Score2.92
Rank#101  Overall
#18  Document stores
Score0.17
Rank#327  Overall
#145  Relational DBMS
Score1.44
Rank#158  Overall
#73  Relational DBMS
Websitegreenplum.orgravendb.netwww.valentina-db.netwww.voltdb.com
Technical documentationdocs.greenplum.orgravendb.net/­docsvalentina-db.com/­docs/­dokuwiki/­v5/­doku.phpdocs.voltdb.com
DeveloperPivotal Software Inc.Hibernating RhinosParadigma SoftwareVoltDB Inc.
Initial release2005201019992010
Current release7.0.0, September 20235.4, July 20225.7.511.3, April 2022
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoAGPL version 3, commercial license availablecommercialOpen 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 languageC#Java, C++
Server operating systemsLinuxLinux
macOS
Raspberry Pi
Windows
Linux
OS X
Windows
Linux
OS X infofor development
Data schemeyesschema-freeyesyes
Typing infopredefined data types such as float or dateyesnoyesyes
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.yes infosince Version 4.2
Secondary indexesyesyesyesyes
SQL infoSupport of SQLyesSQL-like query language (RQL)yesyes infoonly a subset of SQL 99
APIs and other access methodsJDBC
ODBC
.NET Client API
F# Client API
Go Client API
Java Client API
NodeJS Client API
PHP Client API
Python Client API
RESTful HTTP API
ODBCJava API
JDBC
RESTful HTTP/JSON API
Supported programming languagesC
Java
Perl
Python
R
.Net
C#
F#
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
.Net
C
C#
C++
Objective-C
PHP
Ruby
Visual Basic
Visual Basic.NET
C#
C++
Erlang infonot officially supported
Go
Java
JavaScript infoNode.js
PHP
Python
Server-side scripts infoStored proceduresyesyesyesJava
Triggersyesyesyesno
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationMulti-source replicationMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyDefault ACID transactions on the local node (eventually consistent across the cluster). Atomic operations with cluster-wide ACID transactions. Eventual consistency for indexes and full-text search indexes.
Foreign keys infoReferential integrityyesnoyesno infoFOREIGN KEY constraints are not supported
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID, Cluster-wide transaction availableACID infoTransactions are executed single-threaded within stored procedures
Concurrency infoSupport for concurrent manipulation of datayesyesyes 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.noyes
User concepts infoAccess controlfine grained access rights according to SQL-standardAuthorization levels configured per client per databasefine grained access rights according to SQL-standardUsers and roles with access to stored procedures

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More resources
GreenplumRavenDBValentina ServerVoltDB
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