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DBMS > Badger vs. Brytlyt vs. GridGain vs. SpatiaLite

System Properties Comparison Badger vs. Brytlyt vs. GridGain vs. SpatiaLite

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Editorial information provided by DB-Engines
NameBadger  Xexclude from comparisonBrytlyt  Xexclude from comparisonGridGain  Xexclude from comparisonSpatiaLite  Xexclude from comparison
DescriptionAn embeddable, persistent, simple and fast Key-Value Store, written purely in Go.Scalable GPU-accelerated RDBMS for very fast analytic and streaming workloads, leveraging PostgreSQLGridGain is an in-memory computing platform, built on Apache IgniteSpatial extension of SQLite
Primary database modelKey-value storeRelational DBMSColumnar
Key-value store
Object oriented DBMS
Relational DBMS
Spatial DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.14
Rank#328  Overall
#48  Key-value stores
Score0.27
Rank#292  Overall
#132  Relational DBMS
Score1.48
Rank#150  Overall
#1  Columnar
#26  Key-value stores
#2  Object oriented DBMS
#69  Relational DBMS
Score1.56
Rank#142  Overall
#3  Spatial DBMS
Websitegithub.com/­dgraph-io/­badgerbrytlyt.iowww.gridgain.comwww.gaia-gis.it/­fossil/­libspatialite/­index
Technical documentationgodoc.org/­github.com/­dgraph-io/­badgerdocs.brytlyt.iowww.gridgain.com/­docs/­index.htmlwww.gaia-gis.it/­gaia-sins/­spatialite_topics.html
DeveloperDGraph LabsBrytlytGridGain Systems, Inc.Alessandro Furieri
Initial release2017201620072008
Current release5.0, August 2023GridGain 8.5.15.0.0, August 2020
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialcommercial, open sourceOpen Source infoMPL 1.1, GPL v2.0 or LGPL v2.1
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 languageGoC, C++ and CUDAJava, C++, .Net, Python, REST, SQLC++
Server operating systemsBSD
Linux
OS X
Solaris
Windows
Linux
OS X
Windows
Linux
OS X
Solaris
Windows
z/OS
server-less
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.noyes infospecific XML-type available, but no XML query functionality.yesno
Secondary indexesnoyesyesyes
SQL infoSupport of SQLnoyesANSI-99 for query and DML statements, subset of DDLyes
APIs and other access methodsADO.NET
JDBC
native C library
ODBC
streaming API for large objects
HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
Supported programming languagesGo.Net
C
C++
Delphi
Java
Perl
Python
Tcl
C#
C++
Java
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresnouser defined functions infoin PL/pgSQLyes (compute grid and cache interceptors can be used instead)no
Triggersnoyesyes (cache interceptors and events)yes
Partitioning methods infoMethods for storing different data on different nodesnoneShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesnoneSource-replica replicationyes (replicated cache)none
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes (compute grid and hadoop accelerator)no
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes
User concepts infoAccess controlnofine grained access rights according to SQL-standardRole-based access control
Security Hooks for custom implementations
no

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More resources
BadgerBrytlytGridGainSpatiaLite
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