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DBMS > EsgynDB vs. Greenplum vs. GridGain vs. Lovefield vs. Teradata Aster

System Properties Comparison EsgynDB vs. Greenplum vs. GridGain vs. Lovefield vs. Teradata Aster

Editorial information provided by DB-Engines
NameEsgynDB  Xexclude from comparisonGreenplum  Xexclude from comparisonGridGain  Xexclude from comparisonLovefield  Xexclude from comparisonTeradata Aster  Xexclude from comparison
Teradata Aster has been integrated into other Teradata systems and therefore will be 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 IgniteEmbeddable relational database for web apps written in pure JavaScriptPlatform for big data analytics on multistructured data sources and types
Primary database modelRelational DBMSRelational DBMSKey-value store
Relational DBMS
Relational DBMSRelational 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
Score0.29
Rank#293  Overall
#133  Relational DBMS
Websitewww.esgyn.cngreenplum.orgwww.gridgain.comgoogle.github.io/­lovefield
Technical documentationdocs.greenplum.orgwww.gridgain.com/­docs/­index.htmlgithub.com/­google/­lovefield/­blob/­master/­docs/­spec_index.md
DeveloperEsgynPivotal Software Inc.GridGain Systems, Inc.GoogleTeradata
Initial release20152005200720142005
Current release7.0.0, September 2023GridGain 8.5.12.1.12, February 2017
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0commercialOpen Source infoApache 2.0commercial
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++, .NetJavaScript
Server operating systemsLinuxLinuxLinux
OS X
Solaris
Windows
server-less, requires a JavaScript environment (browser, Node.js) infotested with Chrome, Firefox, IE, SafariLinux
Data schemeyesyesyesyesFlexible Schema (defined schema, partial schema, schema free) infodefined schema within the relational store; partial schema or schema free in the Aster File Store
Typing infopredefined data types such as float or dateyesyesyesyesyes
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 4.2yesnoyes infoin Aster File Store
Secondary indexesyesyesyesyesyes
SQL infoSupport of SQLyesyesANSI-99 for query and DML statements, subset of DDLSQL-like query language infovia JavaScript builder patternyes
APIs and other access methodsADO.NET
JDBC
ODBC
JDBC
ODBC
HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
ADO.NET
JDBC
ODBC
OLE DB
Supported programming languagesAll languages supporting JDBC/ODBC/ADO.NetC
Java
Perl
Python
R
C#
C++
Java
PHP
Python
Ruby
Scala
JavaScriptC
C#
C++
Java
Python
R
Server-side scripts infoStored proceduresJava Stored Proceduresyesyes (compute grid and cache interceptors can be used instead)noR packages
Triggersnoyesyes (cache interceptors and events)Using read-only observersno
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardingnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication between multi datacentersSource-replica replicationyes (replicated cache)noneyes infoDimension tables are replicated across all nodes in the cluster. The number of replicas for the file store can be configured.
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyesyes (compute grid and hadoop accelerator)noyes infoSQL Map-Reduce Framework
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integrityyesyesnoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes, by using IndexedDB or the cloud service Firebase Realtime Databaseyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyesyes infousing MemoryDBno
User concepts infoAccess controlfine grained access rights according to SQL-standardfine grained access rights according to SQL-standardSecurity Hooks for custom implementationsnofine grained access rights according to SQL-standard

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More resources
EsgynDBGreenplumGridGainLovefieldTeradata Aster
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