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DBMS > Greenplum vs. Ignite vs. LevelDB vs. RDF4J vs. Yanza

System Properties Comparison Greenplum vs. Ignite vs. LevelDB vs. RDF4J vs. Yanza

Editorial information provided by DB-Engines
NameGreenplum  Xexclude from comparisonIgnite  Xexclude from comparisonLevelDB  Xexclude from comparisonRDF4J infoformerly known as Sesame  Xexclude from comparisonYanza  Xexclude from comparison
Yanza seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
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.Apache Ignite is a memory-centric distributed database, caching, and processing platform for transactional, analytical, and streaming workloads, delivering in-memory speeds at petabyte scale.Embeddable fast key-value storage library that provides an ordered mapping from string keys to string valuesRDF4J is a Java framework for processing RDF data, supporting both memory-based and a disk-based storage.Time Series DBMS for IoT Applications
Primary database modelRelational DBMSKey-value store
Relational DBMS
Key-value storeRDF storeTime Series DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score8.08
Rank#48  Overall
#31  Relational DBMS
Score3.11
Rank#96  Overall
#15  Key-value stores
#49  Relational DBMS
Score2.25
Rank#115  Overall
#19  Key-value stores
Score0.74
Rank#222  Overall
#9  RDF stores
Websitegreenplum.orgignite.apache.orggithub.com/­google/­leveldbrdf4j.orgyanza.com
Technical documentationdocs.greenplum.orgapacheignite.readme.io/­docsgithub.com/­google/­leveldb/­blob/­main/­doc/­index.mdrdf4j.org/­documentation
DeveloperPivotal Software Inc.Apache Software FoundationGoogleSince 2016 officially forked into an Eclipse project, former developer was Aduna Software.Yanza
Initial release20052015201120042015
Current release7.0.0, September 2023Apache Ignite 2.61.23, February 2021
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoApache 2.0Open Source infoBSDOpen Source infoEclipse Distribution License (EDL), v1.0.commercial infofree version available
Cloud-based only infoOnly available as a cloud servicenonononono infobut mainly used as a service provided by Yanza
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++, Java, .NetC++Java
Server operating systemsLinuxLinux
OS X
Solaris
Windows
Illumos
Linux
OS X
Windows
Linux
OS X
Unix
Windows
Windows
Data schemeyesyesschema-freeyes infoRDF Schemasschema-free
Typing infopredefined data types such as float or dateyesyesnoyesno
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 4.2yesnono
Secondary indexesyesyesnoyesno
SQL infoSupport of SQLyesANSI-99 for query and DML statements, subset of DDLnonono
APIs and other access methodsJDBC
ODBC
HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
Java API
RIO infoRDF Input/Output
Sail API
SeRQL infoSesame RDF Query Language
Sesame REST HTTP Protocol
SPARQL
HTTP API
Supported programming languagesC
Java
Perl
Python
R
C#
C++
Java
PHP
Python
Ruby
Scala
C++
Go
Java info3rd party binding
JavaScript (Node.js) info3rd party binding
Python info3rd party binding
Java
PHP
Python
any language that supports HTTP calls
Server-side scripts infoStored proceduresyesyes (compute grid and cache interceptors can be used instead)noyesno
Triggersyesyes (cache interceptors and events)noyesyes infoTimer and event based
Partitioning methods infoMethods for storing different data on different nodesShardingShardingnonenonenone
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationyes (replicated cache)nonenonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyes (compute grid and hadoop accelerator)nonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnoACID infoIsolation support depends on the API usedno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyes infowith automatic compression on writesyes infoin-memory storage is supported as wellyes
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-standardSecurity Hooks for custom implementationsnonono

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More resources
GreenplumIgniteLevelDBRDF4J infoformerly known as SesameYanza
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