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DBMS > BigchainDB vs. EventStoreDB vs. Hazelcast vs. PouchDB vs. Trafodion

System Properties Comparison BigchainDB vs. EventStoreDB vs. Hazelcast vs. PouchDB vs. Trafodion

Editorial information provided by DB-Engines
NameBigchainDB  Xexclude from comparisonEventStoreDB  Xexclude from comparisonHazelcast  Xexclude from comparisonPouchDB  Xexclude from comparisonTrafodion  Xexclude from comparison
Apache Trafodion has been retired in 2021. Therefore it is excluded from the DB-Engines Ranking.
DescriptionBigchainDB is scalable blockchain database offering decentralization, immutability and native assetsIndustrial-strength, open-source database solution built from the ground up for event sourcing.A widely adopted in-memory data gridJavaScript DBMS with an API inspired by CouchDBTransactional SQL-on-Hadoop DBMS
Primary database modelDocument storeEvent StoreKey-value storeDocument storeRelational DBMS
Secondary database modelsDocument store infoJSON support with IMDG 3.12
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.85
Rank#208  Overall
#35  Document stores
Score1.19
Rank#173  Overall
#1  Event Stores
Score5.46
Rank#61  Overall
#7  Key-value stores
Score2.34
Rank#112  Overall
#21  Document stores
Websitewww.bigchaindb.comwww.eventstore.comhazelcast.compouchdb.comtrafodion.apache.org
Technical documentationbigchaindb.readthedocs.io/­en/­latestdevelopers.eventstore.comhazelcast.org/­imdg/­docspouchdb.com/­guidestrafodion.apache.org/­documentation.html
DeveloperEvent Store LimitedHazelcastApache Software FoundationApache Software Foundation, originally developed by HP
Initial release20162012200820122014
Current release21.2, February 20215.3.6, November 20237.1.1, June 20192.3.0, February 2019
License infoCommercial or Open SourceOpen Source infoAGPL v3Open SourceOpen Source infoApache Version 2; commercial licenses availableOpen SourceOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languagePythonJavaJavaScriptC++, Java
Server operating systemsLinuxLinux
Windows
All OS with a Java VMserver-less, requires a JavaScript environment (browser, Node.js)Linux
Data schemeschema-freeschema-freeschema-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.noyes infothe object must implement a serialization strategynono
Secondary indexesyesyes infovia viewsyes
SQL infoSupport of SQLnoSQL-like query languagenoyes
APIs and other access methodsCLI Client
RESTful HTTP API
JCache
JPA
Memcached protocol
RESTful HTTP API
HTTP REST infoonly for PouchDB Server
JavaScript API
ADO.NET
JDBC
ODBC
Supported programming languagesGo
Haskell
Java
JavaScript
Python
Ruby
.Net
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
Python
Scala
JavaScriptAll languages supporting JDBC/ODBC/ADO.Net
Server-side scripts infoStored proceduresyes infoEvent Listeners, Executor ServicesView functions in JavaScriptJava Stored Procedures
Triggersyes infoEventsyesno
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding infowith a proxy-based framework, named couchdb-loungeSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factoryes infoReplicated MapMulti-source replication infoalso with CouchDB databases
Source-replica replication infoalso with CouchDB databases
yes, via HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesyesyes infovia user defined functions and HBase
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency selectable by user infoRaft Consensus AlgorithmEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataone or two-phase-commit; repeatable reads; read commitednoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyes,with MongoDB ord RethinkDByesyes 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.yesyesno
User concepts infoAccess controlyesRole-based access controlnofine grained access rights according to SQL-standard

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More resources
BigchainDBEventStoreDBHazelcastPouchDBTrafodion
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