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DBMS > EventStoreDB vs. GridGain vs. STSdb vs. WakandaDB

System Properties Comparison EventStoreDB vs. GridGain vs. STSdb vs. WakandaDB

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Editorial information provided by DB-Engines
NameEventStoreDB  Xexclude from comparisonGridGain  Xexclude from comparisonSTSdb  Xexclude from comparisonWakandaDB  Xexclude from comparison
DescriptionIndustrial-strength, open-source database solution built from the ground up for event sourcing.GridGain is an in-memory computing platform, built on Apache IgniteKey-Value Store with special method for indexing infooptimized for high performance using a special indexing methodWakandaDB is embedded in a server that provides a REST API and a server-side javascript engine to access data
Primary database modelEvent StoreColumnar
Key-value store
Object oriented DBMS
Relational DBMS
Key-value storeObject oriented DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.07
Rank#181  Overall
#1  Event Stores
Score1.48
Rank#150  Overall
#1  Columnar
#26  Key-value stores
#2  Object oriented DBMS
#69  Relational DBMS
Score0.03
Rank#365  Overall
#54  Key-value stores
Score0.03
Rank#364  Overall
#17  Object oriented DBMS
Websitewww.eventstore.comwww.gridgain.comgithub.com/­STSSoft/­STSdb4wakanda.github.io
Technical documentationdevelopers.eventstore.comwww.gridgain.com/­docs/­index.htmlwakanda.github.io/­doc
DeveloperEvent Store LimitedGridGain Systems, Inc.STS Soft SCWakanda SAS
Initial release2012200720112012
Current release21.2, February 2021GridGain 8.5.14.0.8, September 20152.7.0 (AprilĀ 29, 2019), April 2019
License infoCommercial or Open SourceOpen Sourcecommercial, open sourceOpen Source infoGPLv2, commercial license availableOpen 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 languageJava, C++, .Net, Python, REST, SQLC#C++, JavaScript
Server operating systemsLinux
Windows
Linux
OS X
Solaris
Windows
z/OS
WindowsLinux
OS X
Windows
Data schemeyesyesyes
Typing infopredefined data types such as float or dateyesyes infoprimitive types and user defined types (classes)yes
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.yesno
Secondary indexesyesno
SQL infoSupport of SQLANSI-99 for query and DML statements, subset of DDLnono
APIs and other access methodsHDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
.NET Client APIRESTful HTTP API
Supported programming languagesC#
C++
Java
PHP
Python
Ruby
Scala
C#
Java
JavaScript
Server-side scripts infoStored proceduresyes (compute grid and cache interceptors can be used instead)noyes
Triggersyes (cache interceptors and events)noyes
Partitioning methods infoMethods for storing different data on different nodesShardingnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesyes (replicated cache)nonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes (compute grid and hadoop accelerator)nono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACID
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.yesno
User concepts infoAccess controlRole-based access control
Security Hooks for custom implementations
noyes

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More resources
EventStoreDBGridGainSTSdbWakandaDB
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