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DBMS > EsgynDB vs. Greenplum vs. GridGain vs. InterSystems Caché vs. MongoDB

System Properties Comparison EsgynDB vs. Greenplum vs. GridGain vs. InterSystems Caché vs. MongoDB

Editorial information provided by DB-Engines
NameEsgynDB  Xexclude from comparisonGreenplum  Xexclude from comparisonGridGain  Xexclude from comparisonInterSystems Caché  Xexclude from comparisonMongoDB  Xexclude from comparison
Caché is a deprecated database engine which is substituted with InterSystems IRIS. It therefore is removed from the DB-Engines Ranking.
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.GridGain is an in-memory computing platform, built on Apache IgniteA multi-model DBMS and application serverOne of the most popular document stores available both as a fully managed cloud service and for deployment on self-managed infrastructure
Primary database modelRelational DBMSRelational DBMSKey-value store
Relational DBMS
Key-value store
Object oriented DBMS
Relational DBMS
Document 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
Vector DBMS infocurrently available in the MongoDB Atlas cloud service only
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.26
Rank#311  Overall
#141  Relational DBMS
Score9.20
Rank#48  Overall
#30  Relational DBMS
Score1.59
Rank#158  Overall
#26  Key-value stores
#73  Relational DBMS
Score424.53
Rank#5  Overall
#1  Document stores
Websitewww.esgyn.cngreenplum.orgwww.gridgain.comwww.intersystems.com/­products/­cachewww.mongodb.com
Technical documentationdocs.greenplum.orgwww.gridgain.com/­docs/­index.htmldocs.intersystems.comwww.mongodb.com/­docs/­manual
DeveloperEsgynPivotal Software Inc.GridGain Systems, Inc.InterSystemsMongoDB, Inc
Initial release20152005200719972009
Current release7.0.0, September 2023GridGain 8.5.12018.1.4, May 20206.0.7, June 2023
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0commercialcommercialOpen Source infoMongoDB Inc.'s Server Side Public License v1. Prior versions were published under GNU AGPL v3.0. Commercial licenses are also available.
Cloud-based only infoOnly available as a cloud servicenonononono infoMongoDB available as DBaaS (MongoDB Atlas)
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
MongoDB Atlas: Global multi-cloud database with unmatched data distribution and mobility across AWS, Azure, and Google Cloud, built-in automation for resource and workload optimization, and so much more.
Implementation languageC++, JavaJava, C++, .NetC++
Server operating systemsLinuxLinuxLinux
OS X
Solaris
Windows
AIX
HP Open VMS
HP-UX
Linux
OS X
Solaris
Windows
Linux
OS X
Solaris
Windows
Data schemeyesyesyesdepending on used data modelschema-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.
Typing infopredefined data types such as float or dateyesyesyesyesyes infostring, integer, double, decimal, boolean, date, object_id, geospatial
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 4.2yesyes
Secondary indexesyesyesyesyesyes
SQL infoSupport of SQLyesyesANSI-99 for query and DML statements, subset of DDLyesRead-only SQL queries via the MongoDB Atlas SQL Interface
APIs and other access methodsADO.NET
JDBC
ODBC
JDBC
ODBC
HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
.NET Client API
JDBC
ODBC
RESTful HTTP API
GraphQL
HTTP REST
Prisma
proprietary protocol using JSON
Supported programming languagesAll languages supporting JDBC/ODBC/ADO.NetC
Java
Perl
Python
R
C#
C++
Java
PHP
Python
Ruby
Scala
C#
C++
Java
Actionscript 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
Kotlin
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
Server-side scripts infoStored proceduresJava Stored Proceduresyesyes (compute grid and cache interceptors can be used instead)yesJavaScript
Triggersnoyesyes (cache interceptors and events)yesyes infoin MongoDB Atlas only
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardingnoneSharding infoPartitioned by hashed, ranged, or zoned sharding keys. Live resharding allows users to change their shard keys as an online operation with zero downtime.
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication between multi datacentersSource-replica replicationyes (replicated cache)Source-replica replicationMulti-Source deployments with MongoDB Atlas Global Clusters
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyesyes (compute grid and hadoop accelerator)noyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyEventual Consistency infocan be individually decided for each read operation
Immediate Consistency infodefault behaviour
Foreign keys infoReferential integrityyesyesnoyesno infotypically not used, however similar functionality with DBRef possible
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDACIDMulti-document ACID Transactions with snapshot isolation
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes infooptional, enabled by default
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyesyesyes 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-standardSecurity Hooks for custom implementationsAccess rights for users, groups and rolesAccess rights for users and roles
More information provided by the system vendor
EsgynDBGreenplumGridGainInterSystems CachéMongoDB
Specific characteristicsMongoDB provides an integrated suite of cloud database and data services to accelerate...
» more
Competitive advantagesBuilt around the flexible document data model and unified API, MongoDB is a developer...
» more
Typical application scenariosAI-enriched intelligent apps (Continental, Telefonica, Iron Mountain) Internet of...
» more
Key customersADP, Adobe, Amadeus, AstraZeneca, Auto Trader, Barclays, BBVA, Bosch, Cisco, CERN,...
» more
Market metricsHundreds of millions downloads, over 150,000+ Atlas clusters provisioned every month...
» more
Licensing and pricing modelsMongoDB database server: Server-Side Public License (SSPL) . Commercial licenses...
» more

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More resources
EsgynDBGreenplumGridGainInterSystems CachéMongoDB
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