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DBMS > Badger vs. Graph Engine vs. GridGain vs. WakandaDB

System Properties Comparison Badger vs. Graph Engine vs. GridGain vs. WakandaDB

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Editorial information provided by DB-Engines
NameBadger  Xexclude from comparisonGraph Engine infoformer name: Trinity  Xexclude from comparisonGridGain  Xexclude from comparisonWakandaDB  Xexclude from comparison
DescriptionAn embeddable, persistent, simple and fast Key-Value Store, written purely in Go.A distributed in-memory data processing engine, underpinned by a strongly-typed RAM store and a general distributed computation engineGridGain is an in-memory computing platform, built on Apache IgniteWakandaDB is embedded in a server that provides a REST API and a server-side javascript engine to access data
Primary database modelKey-value storeGraph DBMS
Key-value store
Key-value store
Relational DBMS
Object oriented DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.22
Rank#320  Overall
#47  Key-value stores
Score0.67
Rank#232  Overall
#21  Graph DBMS
#34  Key-value stores
Score1.55
Rank#150  Overall
#26  Key-value stores
#70  Relational DBMS
Score0.10
Rank#356  Overall
#16  Object oriented DBMS
Websitegithub.com/­dgraph-io/­badgerwww.graphengine.iowww.gridgain.comwakanda.github.io
Technical documentationgodoc.org/­github.com/­dgraph-io/­badgerwww.graphengine.io/­docs/­manualwww.gridgain.com/­docs/­index.htmlwakanda.github.io/­doc
DeveloperDGraph LabsMicrosoftGridGain Systems, Inc.Wakanda SAS
Initial release2017201020072012
Current releaseGridGain 8.5.12.7.0 (April 29, 2019), April 2019
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoMIT LicensecommercialOpen 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 languageGo.NET and CJava, C++, .NetC++, JavaScript
Server operating systemsBSD
Linux
OS X
Solaris
Windows
.NETLinux
OS X
Solaris
Windows
Linux
OS X
Windows
Data schemeschema-freeyesyesyes
Typing infopredefined data types such as float or datenoyesyesyes
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.nonoyesno
Secondary indexesnoyes
SQL infoSupport of SQLnonoANSI-99 for query and DML statements, subset of DDLno
APIs and other access methodsRESTful HTTP APIHDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
RESTful HTTP API
Supported programming languagesGoC#
C++
F#
Visual Basic
C#
C++
Java
PHP
Python
Ruby
Scala
JavaScript
Server-side scripts infoStored proceduresnoyesyes (compute grid and cache interceptors can be used instead)yes
Triggersnonoyes (cache interceptors and events)yes
Partitioning methods infoMethods for storing different data on different nodesnonehorizontal partitioningShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyes (replicated cache)none
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes (compute grid and hadoop accelerator)no
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesoptional: either by committing a write-ahead log (WAL) to the local persistent storage or by dumping the memory to a persistent storageyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyesno
User concepts infoAccess controlnoSecurity Hooks for custom implementationsyes

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More resources
BadgerGraph Engine infoformer name: TrinityGridGainWakandaDB
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