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DBMS > EsgynDB vs. Greenplum vs. Impala vs. MongoDB vs. RDF4J

System Properties Comparison EsgynDB vs. Greenplum vs. Impala vs. MongoDB vs. RDF4J

Editorial information provided by DB-Engines
NameEsgynDB  Xexclude from comparisonGreenplum  Xexclude from comparisonImpala  Xexclude from comparisonMongoDB  Xexclude from comparisonRDF4J infoformerly known as Sesame  Xexclude from comparison
DescriptionEnterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionAnalytic 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.Analytic DBMS for HadoopOne of the most popular document stores available both as a fully managed cloud service and for deployment on self-managed infrastructureRDF4J is a Java framework for processing RDF data, supporting both memory-based and a disk-based storage.
Primary database modelRelational DBMSRelational DBMSRelational DBMSDocument storeRDF store
Secondary database modelsDocument store
Spatial DBMS
Document storeSpatial DBMS
Search engine infointegrated Lucene index, currently in MongoDB Atlas only.
Time Series DBMS infoTime Series Collections introduced in Release 5.0
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.27
Rank#274  Overall
#127  Relational DBMS
Score13.61
Rank#42  Overall
#26  Relational DBMS
Score18.65
Rank#37  Overall
#23  Relational DBMS
Score496.50
Rank#5  Overall
#1  Document stores
Score0.66
Rank#217  Overall
#9  RDF stores
Websitewww.esgyn.cngreenplum.orgwww.cloudera.com/­products/­open-source/­apache-hadoop/­impala.htmlwww.mongodb.comrdf4j.org
Technical documentationdocs.greenplum.orgdocs.cloudera.com/­documentation/­enterprise/­latest/­topics/­impala.htmldocs.mongodb.com/­manualrdf4j.org/­documentation
DeveloperEsgynPivotal Software Inc.ClouderaMongoDB, IncSince 2016 officially forked into an Eclipse project, former developer was Aduna Software.
Initial release20152005201320092004
Current release6.7.1, April 20203.4.0, April 20205.0, July 2021
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0Open Source infoApache Version 2Open Source infoMongoDB Inc.'s Server Side Public License v1. Prior versions were published under GNU AGPL v3.0. Commercial licenses are also available.Open Source infoEclipse Distribution License (EDL), v1.0.
Cloud-based only infoOnly available as a cloud servicenononono infoMongoDB available as DBaaS (MongoDB Atlas)no
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++, JavaC++C++Java
Server operating systemsLinuxLinuxLinuxLinux
OS X
Solaris
Windows
Linux
OS X
Unix
Windows
Data schemeyesyesyesschema-free infoAlthough schema-free, documents of the same collection often follow the same structure. Optionally impose all or part of a schema by defining a JSON schema.yes infoRDF Schemas
Typing infopredefined data types such as float or dateyesyesyesyes infostring, integer, double, decimal, boolean, date, object_id, geospatialyes
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.noyes infosince Version 4.2no
Secondary indexesyesyesyesyesyes
SQL infoSupport of SQLyesyesSQL-like DML and DDL statementsRead-only SQL queries via the MongoDB Connector for BIno
APIs and other access methodsADO.NET
JDBC
ODBC
JDBC
ODBC
JDBC
ODBC
proprietary protocol using JSONJava API
RIO infoRDF Input/Output
Sail API
SeRQL infoSesame RDF Query Language
Sesame REST HTTP Protocol
SPARQL
Supported programming languagesAll languages supporting JDBC/ODBC/ADO.NetC
Java
Perl
Python
R
All languages supporting JDBC/ODBCActionscript infounofficial driver
C
C#
C++
Clojure infounofficial driver
ColdFusion infounofficial driver
D infounofficial driver
Dart infounofficial driver
Delphi infounofficial driver
Erlang
Go
Groovy infounofficial driver
Haskell
Java
JavaScript
Lisp infounofficial driver
Lua infounofficial driver
MatLab infounofficial driver
Perl
PHP
PowerShell infounofficial driver
Prolog infounofficial driver
Python
R infounofficial driver
Ruby
Rust
Scala
Smalltalk infounofficial driver
Swift
Java
PHP
Python
Server-side scripts infoStored proceduresJava Stored Proceduresyesyes infouser defined functions and integration of map-reduceJavaScriptyes
Triggersnoyesnoyes infoin MongoDB Atlas onlyyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardingSharding infoPartitioned by hashed, ranged, or zoned sharding keys. Live resharding allows users to change their shard keys as an online operation with zero downtime.none
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication between multi datacentersSource-replica replicationselectable replication factorMulti-Source deployments with MongoDB Atlas Global Clusters
Source-replica replication
none
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyesyes infoquery execution via MapReduceyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual ConsistencyEventual Consistency
Immediate Consistency infocan be individually decided for each write operation
Foreign keys infoReferential integrityyesyesnono infotypically not used, however similar functionality with DBRef possible
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnoMulti-document ACID Transactions with snapshot isolationACID infoIsolation support depends on the API used
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infooptional, enabled by defaultyes infoin-memory storage is supported as well
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nononoyes infoIn-memory storage engine introduced with MongoDB version 3.2
User concepts infoAccess controlfine grained access rights according to SQL-standardfine grained access rights according to SQL-standardAccess rights for users, groups and roles infobased on Apache Sentry and KerberosAccess rights for users and rolesno
More information provided by the system vendor
EsgynDBGreenplumImpalaMongoDBRDF4J infoformerly known as Sesame
Specific characteristicsMongoDB’s application data platform provides developers a unified interface to power...
» more
Competitive advantagesThe MongoDB platform can be used by developers building transactional, operational,...
» more
Typical application scenariosInternet of Things and Time Series (Bosch, Jaguar Land Rover) Mobile (The Weather...
» more
Key customersADP, Adobe, Amadeus, AstraZeneca, Auto Trader, Barclays, BBVA, Bosch, Cisco, CERN,...
» more
Market metrics175 million downloads, over 1.5M Atlas database clusters under management handling...
» more
Licensing and pricing modelsMongoDB database server: Server-Side Public License (SSPL) . Commercial licenses...
» more

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More resources
EsgynDBGreenplumImpalaMongoDBRDF4J infoformerly known as Sesame
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