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DBMS > BigObject vs. Faircom DB vs. Fujitsu Enterprise Postgres vs. MarkLogic

System Properties Comparison BigObject vs. Faircom DB vs. Fujitsu Enterprise Postgres vs. MarkLogic

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Editorial information provided by DB-Engines
NameBigObject  Xexclude from comparisonFaircom DB infoformerly c-treeACE  Xexclude from comparisonFujitsu Enterprise Postgres  Xexclude from comparisonMarkLogic  Xexclude from comparison
DescriptionAnalytic DBMS for real-time computations and queriesNative high-speed multi-model DBMS for relational and key-value store data simultaneously accessible through SQL and NoSQL APIs.Enterprise-grade PostgreSQL-based DBMS with security enhancements such as Transparent Data Encryption and Data Masking, plus high-availability and performance improvement features.Operational and transactional Enterprise NoSQL database
Primary database modelRelational DBMS infoa hierachical model (tree) can be imposedKey-value store
Relational DBMS
Relational DBMSDocument 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
Score0.19
Rank#329  Overall
#146  Relational DBMS
Score0.29
Rank#304  Overall
#43  Key-value stores
#136  Relational DBMS
Score0.37
Rank#278  Overall
#128  Relational DBMS
Score5.18
Rank#63  Overall
#11  Document stores
#1  Native XML DBMS
#1  RDF stores
#7  Search engines
Websitebigobject.iowww.faircom.com/­products/­faircom-dbwww.postgresql.fastware.comwww.marklogic.com
Technical documentationdocs.bigobject.iodocs.faircom.com/­docs/­en/­UUID-7446ae34-a1a7-c843-c894-d5322e395184.htmlwww.postgresql.fastware.com/­product-manualsdocs.marklogic.com
DeveloperBigObject, Inc.FairCom CorporationPostgreSQL Global Development Group, Fujitsu Australia Software TechnologyMarkLogic Corp.
Initial release201519792001
Current releaseV12, November 2020Fujitsu Enterprise Postgres 14, January 202211.0, December 2022
License infoCommercial or Open Sourcecommercial infofree community edition availablecommercial infoRestricted, free version availablecommercialcommercial 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 languageANSI C, C++CC++
Server operating systemsLinux infodistributed as a docker-image
OS X infodistributed as a docker-image (boot2docker)
Windows infodistributed as a docker-image (boot2docker)
AIX
FreeBSD
HP-UX
Linux
NetBSD
OS X
QNX
SCO
Solaris
VxWorks
Windows infoeasily portable to other OSs
Linux
Windows
Linux
OS X
Windows
Data schemeyesschema free, schema optional, schema required, partial schema,yesschema-free infoSchema can be enforced
Typing infopredefined data types such as float or dateyesyes, ANSI SQL Types, JSON, typed binary structuresyesyes
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 indexesyesyesyesyes
SQL infoSupport of SQLSQL-like DML and DDL statementsyes, ANSI SQL with proprietary extensionsyesyes infoSQL92
APIs and other access methodsfluentd
ODBC
RESTful HTTP API
ADO.NET
Direct SQL
JDBC
JPA
ODBC
RESTful HTTP/JSON API
RESTful MQTT/JSON API
RPC
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Java 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 languages.Net
C
C#
C++
Java
JavaScript (Node.js and browser)
PHP
Python
Visual Basic
.Net
C
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
C
C#
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
Server-side scripts infoStored proceduresLuayes info.Net, JavaScript, C/C++user defined functionsyes infovia XQuery or JavaScript
Triggersnoyesyesyes
Partitioning methods infoMethods for storing different data on different nodesnoneFile partitioning, horizontal partitioning, sharding infoCustomizable business rules for table partitioningpartitioning by range, list and by hashSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyes, configurable to be parallel or serial, synchronous or asynchronous, uni-directional or bi-directional, ACID-consistent or eventually consistent (with custom conflict resolution).Source-replica replicationyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyes infovia Hadoop Connector, HDFS Direct Access and in-database MapReduce jobs
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneEventual Consistency
Immediate Consistency
Tunable consistency per server, database, table, and transaction
Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infoautomatically between fact table and dimension tablesyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanotunable from ACID to Eventually ConsistentACIDACID infocan act as a resource manager in an XA/JTA transaction
Concurrency infoSupport for concurrent manipulation of datayes infoRead/write lock on objects (tables, trees)yesyes, multi-version concurrency control (MVCC)yes
Durability infoSupport for making data persistentyesYes, tunable from durable to delayed durability to in-memoryyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes, with Range Indexes
User concepts infoAccess controlnoFine grained access rights according to SQL-standard with additional protections for filesfine grained access rights according to SQL-standardRole-based access control at the document and subdocument levels

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More resources
BigObjectFaircom DB infoformerly c-treeACEFujitsu Enterprise PostgresMarkLogic
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