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DBMS > EsgynDB vs. Greenplum vs. GridGain vs. HBase vs. Lovefield

System Properties Comparison EsgynDB vs. Greenplum vs. GridGain vs. HBase vs. Lovefield

Editorial information provided by DB-Engines
NameEsgynDB  Xexclude from comparisonGreenplum  Xexclude from comparisonGridGain  Xexclude from comparisonHBase  Xexclude from comparisonLovefield  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.GridGain is an in-memory computing platform, built on Apache IgniteWide-column store based on Apache Hadoop and on concepts of BigTableEmbeddable relational database for web apps written in pure JavaScript
Primary database modelRelational DBMSRelational DBMSKey-value store
Relational DBMS
Wide column storeRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.16
Rank#329  Overall
#146  Relational DBMS
Score8.37
Rank#48  Overall
#30  Relational DBMS
Score1.47
Rank#154  Overall
#26  Key-value stores
#72  Relational DBMS
Score30.50
Rank#26  Overall
#2  Wide column stores
Score0.29
Rank#293  Overall
#133  Relational DBMS
Websitewww.esgyn.cngreenplum.orgwww.gridgain.comhbase.apache.orggoogle.github.io/­lovefield
Technical documentationdocs.greenplum.orgwww.gridgain.com/­docs/­index.htmlhbase.apache.org/­book.htmlgithub.com/­google/­lovefield/­blob/­master/­docs/­spec_index.md
DeveloperEsgynPivotal Software Inc.GridGain Systems, Inc.Apache Software Foundation infoApache top-level project, originally developed by PowersetGoogle
Initial release20152005200720082014
Current release7.0.0, September 2023GridGain 8.5.12.3.4, January 20212.1.12, February 2017
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0commercialOpen Source infoApache version 2Open Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++, JavaJava, C++, .NetJavaJavaScript
Server operating systemsLinuxLinuxLinux
OS X
Solaris
Windows
Linux
Unix
Windows infousing Cygwin
server-less, requires a JavaScript environment (browser, Node.js) infotested with Chrome, Firefox, IE, Safari
Data schemeyesyesyesschema-free, schema definition possibleyes
Typing infopredefined data types such as float or dateyesyesyesoptions to bring your own types, AVROyes
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 4.2yesnono
Secondary indexesyesyesyesnoyes
SQL infoSupport of SQLyesyesANSI-99 for query and DML statements, subset of DDLnoSQL-like query language infovia JavaScript builder pattern
APIs and other access methodsADO.NET
JDBC
ODBC
JDBC
ODBC
HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
Java API
RESTful HTTP API
Thrift
Supported programming languagesAll languages supporting JDBC/ODBC/ADO.NetC
Java
Perl
Python
R
C#
C++
Java
PHP
Python
Ruby
Scala
C
C#
C++
Groovy
Java
PHP
Python
Scala
JavaScript
Server-side scripts infoStored proceduresJava Stored Proceduresyesyes (compute grid and cache interceptors can be used instead)yes infoCoprocessors in Javano
Triggersnoyesyes (cache interceptors and events)yesUsing read-only observers
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardingShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication between multi datacentersSource-replica replicationyes (replicated cache)Multi-source replication
Source-replica replication
none
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyesyes (compute grid and hadoop accelerator)yesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency or Eventual Consistency
Foreign keys infoReferential integrityyesyesnonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDSingle row ACID (across millions of columns)ACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes, by using IndexedDB or the cloud service Firebase Realtime Database
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyesyesyes infousing MemoryDB
User concepts infoAccess controlfine grained access rights according to SQL-standardfine grained access rights according to SQL-standardSecurity Hooks for custom implementationsAccess Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABACno

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More resources
EsgynDBGreenplumGridGainHBaseLovefield
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