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DBMS > Badger vs. GridGain vs. SpaceTime vs. STSdb

System Properties Comparison Badger vs. GridGain vs. SpaceTime vs. STSdb

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Editorial information provided by DB-Engines
NameBadger  Xexclude from comparisonGridGain  Xexclude from comparisonSpaceTime  Xexclude from comparisonSTSdb  Xexclude from comparison
DescriptionAn embeddable, persistent, simple and fast Key-Value Store, written purely in Go.GridGain is an in-memory computing platform, built on Apache IgniteSpaceTime is a spatio-temporal DBMS with a focus on performance.Key-Value Store with special method for indexing infooptimized for high performance using a special indexing method
Primary database modelKey-value storeColumnar
Key-value store
Object oriented DBMS
Relational DBMS
Spatial DBMSKey-value store
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
Score1.48
Rank#150  Overall
#1  Columnar
#26  Key-value stores
#2  Object oriented DBMS
#69  Relational DBMS
Score0.00
Rank#385  Overall
#7  Spatial DBMS
Score0.03
Rank#365  Overall
#54  Key-value stores
Websitegithub.com/­dgraph-io/­badgerwww.gridgain.comwww.mireo.com/­spacetimegithub.com/­STSSoft/­STSdb4
Technical documentationgodoc.org/­github.com/­dgraph-io/­badgerwww.gridgain.com/­docs/­index.html
DeveloperDGraph LabsGridGain Systems, Inc.MireoSTS Soft SC
Initial release2017200720202011
Current releaseGridGain 8.5.14.0.8, September 2015
License infoCommercial or Open SourceOpen Source infoApache 2.0commercial, open sourcecommercialOpen Source infoGPLv2, 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 languageGoJava, C++, .Net, Python, REST, SQLC++C#
Server operating systemsBSD
Linux
OS X
Solaris
Windows
Linux
OS X
Solaris
Windows
z/OS
LinuxWindows
Data schemeschema-freeyesyesyes
Typing infopredefined data types such as float or datenoyesyesyes infoprimitive types and user defined types (classes)
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.noyesno
Secondary indexesnoyesnono
SQL infoSupport of SQLnoANSI-99 for query and DML statements, subset of DDLA subset of ANSI SQL is implementedno
APIs and other access methodsHDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
RESTful HTTP API.NET Client API
Supported programming languagesGoC#
C++
Java
PHP
Python
Ruby
Scala
C#
C++
Python
C#
Java
Server-side scripts infoStored proceduresnoyes (compute grid and cache interceptors can be used instead)nono
Triggersnoyes (cache interceptors and events)nono
Partitioning methods infoMethods for storing different data on different nodesnoneShardingFixed-grid hypercubesnone
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyes (replicated cache)Real-time block device replication (DRBD)none
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes (compute grid and hadoop accelerator)nono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnono
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.noyesno
User concepts infoAccess controlnoRole-based access control
Security Hooks for custom implementations
yesno

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More resources
BadgerGridGainSpaceTimeSTSdb
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