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DBMS > Badger vs. GridGain vs. PouchDB vs. TimesTen

System Properties Comparison Badger vs. GridGain vs. PouchDB vs. TimesTen

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Editorial information provided by DB-Engines
NameBadger  Xexclude from comparisonGridGain  Xexclude from comparisonPouchDB  Xexclude from comparisonTimesTen  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 IgniteJavaScript DBMS with an API inspired by CouchDBAn in-memory SQL relational database that delivers microsecond response and high throughput for OLTP applications. TimesTen can be deployed as a standalone database or as a cache to a backend Oracle database.
Primary database modelKey-value storeColumnar
Key-value store
Object oriented DBMS
Relational DBMS
Document storeRelational 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
Score2.18
Rank#114  Overall
#21  Document stores
Score1.26
Rank#164  Overall
#75  Relational DBMS
Websitegithub.com/­dgraph-io/­badgerwww.gridgain.compouchdb.comwww.oracle.com/­database/­technologies/­related/­timesten.html
Technical documentationgodoc.org/­github.com/­dgraph-io/­badgerwww.gridgain.com/­docs/­index.htmlpouchdb.com/­guidesdocs.oracle.com/­en/­database/­other-databases/­timesten/­index.html
DeveloperDGraph LabsGridGain Systems, Inc.Apache Software FoundationOracle infooriginally founded in HP Labs it was acquired by Oracle in 2005
Initial release2017200720121998
Current releaseGridGain 8.5.17.1.1, June 2019Release 22.1
License infoCommercial or Open SourceOpen Source infoApache 2.0commercial, open sourceOpen Sourcecommercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageGoJava, C++, .Net, Python, REST, SQLJavaScript
Server operating systemsBSD
Linux
OS X
Solaris
Windows
Linux
OS X
Solaris
Windows
z/OS
server-less, requires a JavaScript environment (browser, Node.js)IBM AIX Power PC 64-bit
Linux arm64
Linux x86-64
Solaris SPARC 64
Solaris SPARC/x86
Solaris x86-64
Data schemeschema-freeyesschema-freeyes
Typing infopredefined data types such as float or datenoyesnoyes
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.noyesnono
Secondary indexesnoyesyes infovia viewsyes
SQL infoSupport of SQLnoANSI-99 for query and DML statements, subset of DDLnoyes
APIs and other access methodsHDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
HTTP REST infoonly for PouchDB Server
JavaScript API
ODBC
ODP.NET
Oracle Call Interface (OCI)
Pro*C/C++ programming interfaces
SQL and PL/SQL via JDBC
Supported programming languagesGoC#
C++
Java
PHP
Python
Ruby
Scala
JavaScriptC
C++
Java
Node.js
PL/SQL
Python
Server-side scripts infoStored proceduresnoyes (compute grid and cache interceptors can be used instead)View functions in JavaScriptPL/SQL
Triggersnoyes (cache interceptors and events)yesno
Partitioning methods infoMethods for storing different data on different nodesnoneShardingSharding infowith a proxy-based framework, named couchdb-loungenone
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyes (replicated cache)Multi-source replication infoalso with CouchDB databases
Source-replica replication infoalso with CouchDB databases
Multi-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes (compute grid and hadoop accelerator)yesno
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyEventual ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integritynononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes infoby using IndexedDB, WebSQL or LevelDB as backendyes infoby means of logfiles and checkpoints
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyesyes
User concepts infoAccess controlnoRole-based access control
Security Hooks for custom implementations
nofine grained access rights according to SQL-standard

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More resources
BadgerGridGainPouchDBTimesTen
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