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DBMS > BigchainDB vs. Blazegraph vs. Greenplum vs. PouchDB vs. WakandaDB

System Properties Comparison BigchainDB vs. Blazegraph vs. Greenplum vs. PouchDB vs. WakandaDB

Editorial information provided by DB-Engines
NameBigchainDB  Xexclude from comparisonBlazegraph  Xexclude from comparisonGreenplum  Xexclude from comparisonPouchDB  Xexclude from comparisonWakandaDB  Xexclude from comparison
Amazon has acquired Blazegraph's domain and (probably) product. It is said that Amazon Neptune is based on Blazegraph.
DescriptionBigchainDB is scalable blockchain database offering decentralization, immutability and native assetsHigh-performance graph database supporting Semantic Web (RDF/SPARQL) and Graph Database (tinkerpop3, blueprints, vertex-centric) APIs with scale-out and High Availability.Analytic Database platform built on PostgreSQL. Full name is Pivotal Greenplum Database infoA logical database in Greenplum is an array of individual PostgreSQL databases working together to present a single database image.JavaScript DBMS with an API inspired by CouchDBWakandaDB is embedded in a server that provides a REST API and a server-side javascript engine to access data
Primary database modelDocument storeGraph DBMS
RDF store
Relational DBMSDocument storeObject oriented DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.85
Rank#208  Overall
#35  Document stores
Score0.81
Rank#213  Overall
#19  Graph DBMS
#8  RDF stores
Score8.08
Rank#48  Overall
#31  Relational DBMS
Score2.34
Rank#112  Overall
#21  Document stores
Score0.10
Rank#356  Overall
#16  Object oriented DBMS
Websitewww.bigchaindb.comblazegraph.comgreenplum.orgpouchdb.comwakanda.github.io
Technical documentationbigchaindb.readthedocs.io/­en/­latestwiki.blazegraph.comdocs.greenplum.orgpouchdb.com/­guideswakanda.github.io/­doc
DeveloperBlazegraphPivotal Software Inc.Apache Software FoundationWakanda SAS
Initial release20162006200520122012
Current release2.1.5, March 20197.0.0, September 20237.1.1, June 20192.7.0 (April 29, 2019), April 2019
License infoCommercial or Open SourceOpen Source infoAGPL v3Open Source infoextended commercial license availableOpen Source infoApache 2.0Open SourceOpen Source infoAGPLv3, extended commercial license available
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languagePythonJavaJavaScriptC++, JavaScript
Server operating systemsLinuxLinux
OS X
Windows
Linuxserver-less, requires a JavaScript environment (browser, Node.js)Linux
OS X
Windows
Data schemeschema-freeschema-freeyesschema-freeyes
Typing infopredefined data types such as float or datenoyes infoRDF literal typesyesnoyes
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 infosince Version 4.2nono
Secondary indexesyesyesyes infovia views
SQL infoSupport of SQLnoSPARQL is used as query languageyesnono
APIs and other access methodsCLI Client
RESTful HTTP API
Java API
RESTful HTTP API
SPARQL QUERY
SPARQL UPDATE
TinkerPop 3
JDBC
ODBC
HTTP REST infoonly for PouchDB Server
JavaScript API
RESTful HTTP API
Supported programming languagesGo
Haskell
Java
JavaScript
Python
Ruby
.Net
C
C++
Java
JavaScript
PHP
Python
Ruby
C
Java
Perl
Python
R
JavaScriptJavaScript
Server-side scripts infoStored proceduresyesyesView functions in JavaScriptyes
Triggersnoyesyesyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardingSharding infowith a proxy-based framework, named couchdb-loungenone
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factoryesSource-replica replicationMulti-source replication infoalso with CouchDB databases
Source-replica replication infoalso with CouchDB databases
none
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyes infoRelationships in Graphsyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyes,with MongoDB ord RethinkDByesyesyes infoby using IndexedDB, WebSQL or LevelDB as backendyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesno
User concepts infoAccess controlyesSecurity and Authentication via Web Application Container (Tomcat, Jetty)fine grained access rights according to SQL-standardnoyes

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More resources
BigchainDBBlazegraphGreenplumPouchDBWakandaDB
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