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DBMS > BigchainDB vs. EventStoreDB vs. Fujitsu Enterprise Postgres vs. Hazelcast vs. Trafodion

System Properties Comparison BigchainDB vs. EventStoreDB vs. Fujitsu Enterprise Postgres vs. Hazelcast vs. Trafodion

Editorial information provided by DB-Engines
NameBigchainDB  Xexclude from comparisonEventStoreDB  Xexclude from comparisonFujitsu Enterprise Postgres  Xexclude from comparisonHazelcast  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.Enterprise-grade PostgreSQL-based DBMS with security enhancements such as Transparent Data Encryption and Data Masking, plus high-availability and performance improvement features.A widely adopted in-memory data gridTransactional SQL-on-Hadoop DBMS
Primary database modelDocument storeEvent StoreRelational DBMSKey-value storeRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
Document 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
Score0.37
Rank#278  Overall
#128  Relational DBMS
Score5.46
Rank#61  Overall
#7  Key-value stores
Websitewww.bigchaindb.comwww.eventstore.comwww.postgresql.fastware.comhazelcast.comtrafodion.apache.org
Technical documentationbigchaindb.readthedocs.io/­en/­latestdevelopers.eventstore.comwww.postgresql.fastware.com/­product-manualshazelcast.org/­imdg/­docstrafodion.apache.org/­documentation.html
DeveloperEvent Store LimitedPostgreSQL Global Development Group, Fujitsu Australia Software TechnologyHazelcastApache Software Foundation, originally developed by HP
Initial release2016201220082014
Current release21.2, February 2021Fujitsu Enterprise Postgres 14, January 20225.3.6, November 20232.3.0, February 2019
License infoCommercial or Open SourceOpen Source infoAGPL v3Open SourcecommercialOpen Source infoApache Version 2; commercial licenses availableOpen 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 languagePythonCJavaC++, Java
Server operating systemsLinuxLinux
Windows
Linux
Windows
All OS with a Java VMLinux
Data schemeschema-freeyesschema-freeyes
Typing infopredefined data types such as float or datenoyesyesyes
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 strategyno
Secondary indexesyesyesyes
SQL infoSupport of SQLnoyesSQL-like query languageyes
APIs and other access methodsCLI Client
RESTful HTTP API
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
JCache
JPA
Memcached protocol
RESTful HTTP API
ADO.NET
JDBC
ODBC
Supported programming languagesGo
Haskell
Java
JavaScript
Python
Ruby
.Net
C
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
.Net
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
Python
Scala
All languages supporting JDBC/ODBC/ADO.Net
Server-side scripts infoStored proceduresuser defined functionsyes infoEvent Listeners, Executor ServicesJava Stored Procedures
Triggersyesyes infoEventsno
Partitioning methods infoMethods for storing different data on different nodesShardingpartitioning by range, list and by hashShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorSource-replica replicationyes infoReplicated Mapyes, via HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesyes infovia user defined functions and HBase
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual Consistency selectable by user infoRaft Consensus AlgorithmImmediate Consistency
Foreign keys infoReferential integritynoyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDone or two-phase-commit; repeatable reads; read commitedACID
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yesyes
Durability infoSupport for making data persistentyes,with MongoDB ord RethinkDByesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesno
User concepts infoAccess controlyesfine grained access rights according to SQL-standardRole-based access controlfine grained access rights according to SQL-standard

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More resources
BigchainDBEventStoreDBFujitsu Enterprise PostgresHazelcastTrafodion
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