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DBMS > EventStoreDB vs. Greenplum vs. Transwarp KunDB vs. WakandaDB

System Properties Comparison EventStoreDB vs. Greenplum vs. Transwarp KunDB vs. WakandaDB

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Editorial information provided by DB-Engines
NameEventStoreDB  Xexclude from comparisonGreenplum  Xexclude from comparisonTranswarp KunDB  Xexclude from comparisonWakandaDB  Xexclude from comparison
DescriptionIndustrial-strength, open-source database solution built from the ground up for event sourcing.Analytic 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.OLTP DBMS based on a distributed architecture and highly compatible with MySQL and OracleWakandaDB is embedded in a server that provides a REST API and a server-side javascript engine to access data
Primary database modelEvent StoreRelational DBMSRelational DBMSObject oriented DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.19
Rank#173  Overall
#1  Event Stores
Score8.08
Rank#48  Overall
#31  Relational DBMS
Score0.14
Rank#341  Overall
#149  Relational DBMS
Score0.10
Rank#356  Overall
#16  Object oriented DBMS
Websitewww.eventstore.comgreenplum.orgwww.transwarp.cn/­en/­product/­kundbwakanda.github.io
Technical documentationdevelopers.eventstore.comdocs.greenplum.orgwakanda.github.io/­doc
DeveloperEvent Store LimitedPivotal Software Inc.TranswarpWakanda SAS
Initial release201220052012
Current release21.2, February 20217.0.0, September 20232.7.0 (AprilĀ 29, 2019), April 2019
License infoCommercial or Open SourceOpen SourceOpen Source infoApache 2.0commercialOpen Source infoAGPLv3, extended commercial license available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++, JavaScript
Server operating systemsLinux
Windows
LinuxLinux
OS X
Windows
Data schemeyesyesyes
Typing infopredefined data types such as float or dateyesyesyes
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 4.2no
Secondary indexesyesyes
SQL infoSupport of SQLyesyesno
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
Supported programming languagesC
Java
Perl
Python
R
JavaScript
Server-side scripts infoStored proceduresyesyesyes
Triggersyesyesyes
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioningnone
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nono
User concepts infoAccess controlfine grained access rights according to SQL-standardyesyes

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More resources
EventStoreDBGreenplumTranswarp KunDBWakandaDB
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