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DBMS > BigchainDB vs. GigaSpaces vs. Ignite vs. PouchDB

System Properties Comparison BigchainDB vs. GigaSpaces vs. Ignite vs. PouchDB

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Editorial information provided by DB-Engines
NameBigchainDB  Xexclude from comparisonGigaSpaces  Xexclude from comparisonIgnite  Xexclude from comparisonPouchDB  Xexclude from comparison
DescriptionBigchainDB is scalable blockchain database offering decentralization, immutability and native assetsHigh performance in-memory data grid platform, powering three products: Smart Cache, Smart ODS (Operational Data Store), Smart Augmented TransactionsApache Ignite is a memory-centric distributed database, caching, and processing platform for transactional, analytical, and streaming workloads, delivering in-memory speeds at petabyte scale.JavaScript DBMS with an API inspired by CouchDB
Primary database modelDocument storeDocument store
Object oriented DBMS infoValues are user defined objects
Key-value store
Relational DBMS
Document store
Secondary database modelsGraph DBMS
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.79
Rank#212  Overall
#36  Document stores
Score0.97
Rank#192  Overall
#32  Document stores
#6  Object oriented DBMS
Score3.16
Rank#96  Overall
#15  Key-value stores
#49  Relational DBMS
Score2.28
Rank#115  Overall
#21  Document stores
Websitewww.bigchaindb.comwww.gigaspaces.comignite.apache.orgpouchdb.com
Technical documentationbigchaindb.readthedocs.io/­en/­latestdocs.gigaspaces.com/­latest/­landing.htmlapacheignite.readme.io/­docspouchdb.com/­guides
DeveloperGigaspaces TechnologiesApache Software FoundationApache Software Foundation
Initial release2016200020152012
Current release15.5, September 2020Apache Ignite 2.67.1.1, June 2019
License infoCommercial or Open SourceOpen Source infoAGPL v3Open Source infoApache Version 2; Commercial licenses availableOpen Source infoApache 2.0Open Source
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languagePythonJava, C++, .NetC++, Java, .NetJavaScript
Server operating systemsLinuxLinux
macOS
Solaris
Windows
Linux
OS X
Solaris
Windows
server-less, requires a JavaScript environment (browser, Node.js)
Data schemeschema-freeschema-freeyesschema-free
Typing infopredefined data types such as float or datenoyesyesno
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 infoXML can be used for describing objects metadatayesno
Secondary indexesyesyesyes infovia views
SQL infoSupport of SQLnoSQL-99 for query and DML statementsANSI-99 for query and DML statements, subset of DDLno
APIs and other access methodsCLI Client
RESTful HTTP API
GigaSpaces LRMI
Hibernate
JCache
JDBC
JPA
ODBC
RESTful HTTP API
Spring Data
HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
HTTP REST infoonly for PouchDB Server
JavaScript API
Supported programming languagesGo
Haskell
Java
JavaScript
Python
Ruby
.Net
C++
Java
Python
Scala
C#
C++
Java
PHP
Python
Ruby
Scala
JavaScript
Server-side scripts infoStored proceduresyesyes (compute grid and cache interceptors can be used instead)View functions in JavaScript
Triggersyes, event driven architectureyes (cache interceptors and events)yes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardingSharding infowith a proxy-based framework, named couchdb-lounge
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorMulti-source replication infosynchronous or asynchronous
Source-replica replication infosynchronous or asynchronous
yes (replicated cache)Multi-source replication infoalso with CouchDB databases
Source-replica replication infoalso with CouchDB databases
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoMap-Reduce pattern can be built with XAP task executorsyes (compute grid and hadoop accelerator)yes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency infoConsistency level configurable: ALL, QUORUM, ANYImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyes,with MongoDB ord RethinkDByesyesyes 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.yesyesyes
User concepts infoAccess controlyesRole-based access controlSecurity Hooks for custom implementationsno

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More resources
BigchainDBGigaSpacesIgnitePouchDB
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