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DBMS > Greenplum vs. GridGain vs. LevelDB vs. Tibero vs. WakandaDB

System Properties Comparison Greenplum vs. GridGain vs. LevelDB vs. Tibero vs. WakandaDB

Editorial information provided by DB-Engines
NameGreenplum  Xexclude from comparisonGridGain  Xexclude from comparisonLevelDB  Xexclude from comparisonTibero  Xexclude from comparisonWakandaDB  Xexclude from comparison
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.GridGain is an in-memory computing platform, built on Apache IgniteEmbeddable fast key-value storage library that provides an ordered mapping from string keys to string valuesA secure RDBMS, designed for easy portability from OracleWakandaDB is embedded in a server that provides a REST API and a server-side javascript engine to access data
Primary database modelRelational DBMSKey-value store
Relational DBMS
Key-value storeRelational DBMSObject oriented DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score8.37
Rank#48  Overall
#30  Relational DBMS
Score1.47
Rank#154  Overall
#26  Key-value stores
#72  Relational DBMS
Score2.35
Rank#111  Overall
#19  Key-value stores
Score1.78
Rank#140  Overall
#64  Relational DBMS
Score0.03
Rank#364  Overall
#17  Object oriented DBMS
Websitegreenplum.orgwww.gridgain.comgithub.com/­google/­leveldbus.tmaxsoft.com/­products/­tiberowakanda.github.io
Technical documentationdocs.greenplum.orgwww.gridgain.com/­docs/­index.htmlgithub.com/­google/­leveldb/­blob/­main/­doc/­index.mdtechnet.tmaxsoft.com/­upload/­download/­online/­tibero/­pver-20150504-000002/­index.htmlwakanda.github.io/­doc
DeveloperPivotal Software Inc.GridGain Systems, Inc.GoogleTmaxSoftWakanda SAS
Initial release20052007201120032012
Current release7.0.0, September 2023GridGain 8.5.11.23, February 20216, April 20152.7.0 (April 29, 2019), April 2019
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialOpen Source infoBSDcommercialOpen Source infoAGPLv3, extended commercial license available
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 languageJava, C++, .NetC++C and AssemblerC++, JavaScript
Server operating systemsLinuxLinux
OS X
Solaris
Windows
Illumos
Linux
OS X
Windows
AIX
HP-UX
Linux
Solaris
Windows
Linux
OS X
Windows
Data schemeyesyesschema-freeyesyes
Typing infopredefined data types such as float or dateyesyesnoyesyes
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 4.2yesnoyesno
Secondary indexesyesyesnoyes
SQL infoSupport of SQLyesANSI-99 for query and DML statements, subset of DDLnoyesno
APIs and other access methodsJDBC
ODBC
HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
JDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
Tibero CLI
RESTful 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
C
C#
C++
Cobol
Java
Objective-C
Perl
PHP
Python
Ruby
Visual Basic
JavaScript
Server-side scripts infoStored proceduresyesyes (compute grid and cache interceptors can be used instead)noPersistent Stored Procedure (PSM)yes
Triggersyesyes (cache interceptors and events)noyesyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingnonehorizontal partitioning infoby range, hash, list or compositenone
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationyes (replicated cache)noneMulti-source replication
Source-replica replication
none
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 ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyes infowith automatic compression on writesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesno infoplanned for next versionno
User concepts infoAccess controlfine grained access rights according to SQL-standardSecurity Hooks for custom implementationsnofine grained access rights according to SQL-standard (SQL 92, SQL 99)yes

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More resources
GreenplumGridGainLevelDBTiberoWakandaDB
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