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DBMS > BoltDB vs. eXtremeDB vs. GridDB vs. PouchDB

System Properties Comparison BoltDB vs. eXtremeDB vs. GridDB vs. PouchDB

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Editorial information provided by DB-Engines
NameBoltDB  Xexclude from comparisoneXtremeDB  Xexclude from comparisonGridDB  Xexclude from comparisonPouchDB  Xexclude from comparison
DescriptionAn embedded key-value store for Go.Natively in-memory DBMS with options for persistency, high-availability and clusteringScalable in-memory time series database optimized for IoT and Big DataJavaScript DBMS with an API inspired by CouchDB
Primary database modelKey-value storeRelational DBMS
Time Series DBMS
Time Series DBMSDocument store
Secondary database modelsKey-value store
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.80
Rank#215  Overall
#31  Key-value stores
Score0.80
Rank#214  Overall
#99  Relational DBMS
#18  Time Series DBMS
Score2.09
Rank#120  Overall
#10  Time Series DBMS
Score2.34
Rank#112  Overall
#21  Document stores
Websitegithub.com/­boltdb/­boltwww.mcobject.comgriddb.netpouchdb.com
Technical documentationwww.mcobject.com/­docs/­extremedb.htmdocs.griddb.netpouchdb.com/­guides
DeveloperMcObjectToshiba CorporationApache Software Foundation
Initial release2013200120132012
Current release8.2, 20215.1, August 20227.1.1, June 2019
License infoCommercial or Open SourceOpen Source infoMIT LicensecommercialOpen Source infoAGPL version 3 and Apache License, version 2.0 , commercial license (standard and advanced editions) also availableOpen Source
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 and C++C++JavaScript
Server operating systemsBSD
Linux
OS X
Solaris
Windows
AIX
HP-UX
Linux
macOS
Solaris
Windows
Linuxserver-less, requires a JavaScript environment (browser, Node.js)
Data schemeschema-freeyesyesschema-free
Typing infopredefined data types such as float or datenoyesyes infonumerical, string, blob, geometry, boolean, timestampno
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.nono infosupport of XML interfaces availablenono
Secondary indexesnoyesyesyes infovia views
SQL infoSupport of SQLnoyes infowith the option: eXtremeSQLSQL92, SQL-like TQL (Toshiba Query Language)no
APIs and other access methods.NET Client API
JDBC
JNI
ODBC
Proprietary protocol
RESTful HTTP API
JDBC
ODBC
Proprietary protocol
RESTful HTTP/JSON API
HTTP REST infoonly for PouchDB Server
JavaScript API
Supported programming languagesGo.Net
C
C#
C++
Java
Lua
Python
Scala
C
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
JavaScript
Server-side scripts infoStored proceduresnoyesnoView functions in JavaScript
Triggersnoyes infoby defining eventsyesyes
Partitioning methods infoMethods for storing different data on different nodesnonehorizontal partitioning / shardingShardingSharding infowith a proxy-based framework, named couchdb-lounge
Replication methods infoMethods for redundantly storing data on multiple nodesnoneActive Replication Fabric™ for IoT
Multi-source replication infoby means of eXtremeDB Cluster option
Source-replica replication infoby means of eXtremeDB High Availability option
Source-replica replicationMulti-source replication infoalso with CouchDB databases
Source-replica replication infoalso with CouchDB databases
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoConnector for using GridDB as an input source and output destination for Hadoop MapReduce jobsyes
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyImmediate consistency within container, eventual consistency across containersEventual Consistency
Foreign keys infoReferential integritynoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesACIDACID at container levelno
Concurrency infoSupport for concurrent manipulation of datayesyes infoOptimistic (MVCC) and pessimistic (locking) strategies availableyes
Durability infoSupport for making data persistentyesyesyesyes infoby using IndexedDB, WebSQL or LevelDB as backend
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyesyes
User concepts infoAccess controlnoAccess rights for users can be defined per databaseno
More information provided by the system vendor
BoltDBeXtremeDBGridDBPouchDB
Specific characteristicseXtremeDB is an in-memory and/or persistent database system that offers an ultra-small...
» more
GridDB is a highly scalable, in-memory time series database optimized for IoT and...
» more
Competitive advantageseXtremeDB databases can be modeled relationally or as objects and can utilize SQL...
» more
1. Optimized for IoT Equipped with Toshiba's proprietary key-container data model...
» more
Typical application scenariosIoT application across all markets: Industrial Control, Netcom, Telecom, Defense,...
» more
Factory IoT, Automative Industry, Energy, BEMS, Smart Community, Monitoring system.
» more
Key customersSchneider Electronics, F5 Networks, TNS, Boeing, Northrop Grumman, GoPro, ViaSat,...
» more
Denso International [see use case ] An Electric Power company [see use case ] Ishinomaki...
» more
Market metricsWith hundreds of customers and over 30 million devices/applications using the product...
» more
GitHub trending repository
» more
Licensing and pricing modelsFor server use cases, there is a simple per-server license irrespective of the number...
» more
Open Source license (AGPL v3 & Apache v2) Commercial license (subscription)
» more

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BoltDBeXtremeDBGridDBPouchDB
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