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DBMS > BigchainDB vs. Fujitsu Enterprise Postgres vs. Graph Engine vs. MarkLogic

System Properties Comparison BigchainDB vs. Fujitsu Enterprise Postgres vs. Graph Engine vs. MarkLogic

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Editorial information provided by DB-Engines
NameBigchainDB  Xexclude from comparisonFujitsu Enterprise Postgres  Xexclude from comparisonGraph Engine infoformer name: Trinity  Xexclude from comparisonMarkLogic  Xexclude from comparison
DescriptionBigchainDB is scalable blockchain database offering decentralization, immutability and native assetsEnterprise-grade PostgreSQL-based DBMS with security enhancements such as Transparent Data Encryption and Data Masking, plus high-availability and performance improvement features.A distributed in-memory data processing engine, underpinned by a strongly-typed RAM store and a general distributed computation engineOperational and transactional Enterprise NoSQL database
Primary database modelDocument storeRelational DBMSGraph DBMS
Key-value store
Document store
Native XML DBMS
RDF store infoas of version 7
Search engine
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.79
Rank#212  Overall
#36  Document stores
Score0.31
Rank#285  Overall
#129  Relational DBMS
Score0.61
Rank#240  Overall
#21  Graph DBMS
#35  Key-value stores
Score5.92
Rank#58  Overall
#10  Document stores
#1  Native XML DBMS
#1  RDF stores
#6  Search engines
Websitewww.bigchaindb.comwww.postgresql.fastware.comwww.graphengine.iowww.marklogic.com
Technical documentationbigchaindb.readthedocs.io/­en/­latestwww.postgresql.fastware.com/­product-manualswww.graphengine.io/­docs/­manualdocs.marklogic.com
DeveloperPostgreSQL Global Development Group, Fujitsu Australia Software TechnologyMicrosoftMarkLogic Corp.
Initial release201620102001
Current releaseFujitsu Enterprise Postgres 14, January 202211.0, December 2022
License infoCommercial or Open SourceOpen Source infoAGPL v3commercialOpen Source infoMIT Licensecommercial inforestricted free version is available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languagePythonC.NET and CC++
Server operating systemsLinuxLinux
Windows
.NETLinux
OS X
Windows
Data schemeschema-freeyesyesschema-free infoSchema can be enforced
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.nonoyes
Secondary indexesyesyes
SQL infoSupport of SQLnoyesnoyes infoSQL92
APIs and other access methodsCLI Client
RESTful HTTP API
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
RESTful HTTP APIJava API
Node.js Client API
ODBC
proprietary Optic API infoProprietary Query API, introduced with version 9
RESTful HTTP API
SPARQL
WebDAV
XDBC
XQuery
XSLT
Supported programming languagesGo
Haskell
Java
JavaScript
Python
Ruby
.Net
C
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
C#
C++
F#
Visual Basic
C
C#
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
Server-side scripts infoStored proceduresuser defined functionsyesyes infovia XQuery or JavaScript
Triggersyesnoyes
Partitioning methods infoMethods for storing different data on different nodesShardingpartitioning by range, list and by hashhorizontal partitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorSource-replica replicationyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes infovia Hadoop Connector, HDFS Direct Access and in-database MapReduce jobs
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACID infocan act as a resource manager in an XA/JTA transaction
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yesyes
Durability infoSupport for making data persistentyes,with MongoDB ord RethinkDByesoptional: either by committing a write-ahead log (WAL) to the local persistent storage or by dumping the memory to a persistent storageyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes, with Range Indexes
User concepts infoAccess controlyesfine grained access rights according to SQL-standardRole-based access control at the document and subdocument levels
More information provided by the system vendor
BigchainDBFujitsu Enterprise PostgresGraph Engine infoformer name: TrinityMarkLogic
Specific characteristics100% compatible with community PostgreSQL
» more
Competitive advantagesBuilt-in TDE and Data Masking security. In-Memory Columnar Index, and a high speed...
» more
Typical application scenariosTransactional payments applications, reporting and mixed workloads.
» more
Market metricsOver 30 years experience in database technology. Over 20 years in Postgres development...
» more
Licensing and pricing modelsCore based licensing
» more

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More resources
BigchainDBFujitsu Enterprise PostgresGraph Engine infoformer name: TrinityMarkLogic
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