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DBMS > BigObject vs. FoundationDB vs. Fujitsu Enterprise Postgres vs. HBase

System Properties Comparison BigObject vs. FoundationDB vs. Fujitsu Enterprise Postgres vs. HBase

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Editorial information provided by DB-Engines
NameBigObject  Xexclude from comparisonFoundationDB  Xexclude from comparisonFujitsu Enterprise Postgres  Xexclude from comparisonHBase  Xexclude from comparison
Created as commercial project in 2013, FoundationDB has been acquired by Apple in March 2015 and was withdrawn from the market. As a consequence, the product was removed from the DB-Engines ranking. In April 2018, Apple open-sourced FoundationDB and it therefore reappears in the ranking.
DescriptionAnalytic DBMS for real-time computations and queriesOrdered key-value store. Core features are complimented by layers.Enterprise-grade PostgreSQL-based DBMS with security enhancements such as Transparent Data Encryption and Data Masking, plus high-availability and performance improvement features.Wide-column store based on Apache Hadoop and on concepts of BigTable
Primary database modelRelational DBMS infoa hierachical model (tree) can be imposedDocument store infosupported via specific layer
Key-value store
Relational DBMS infosupported via specific SQL-layer
Relational DBMSWide column store
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
Score1.06
Rank#185  Overall
#31  Document stores
#28  Key-value stores
#85  Relational DBMS
Score0.37
Rank#278  Overall
#128  Relational DBMS
Score27.97
Rank#26  Overall
#2  Wide column stores
Websitebigobject.iogithub.com/­apple/­foundationdbwww.postgresql.fastware.comhbase.apache.org
Technical documentationdocs.bigobject.ioapple.github.io/­foundationdbwww.postgresql.fastware.com/­product-manualshbase.apache.org/­book.html
DeveloperBigObject, Inc.FoundationDBPostgreSQL Global Development Group, Fujitsu Australia Software TechnologyApache Software Foundation infoApache top-level project, originally developed by Powerset
Initial release201520132008
Current release6.2.28, November 2020Fujitsu Enterprise Postgres 14, January 20222.3.4, January 2021
License infoCommercial or Open Sourcecommercial infofree community edition availableOpen Source infoApache 2.0commercialOpen Source infoApache version 2
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++CJava
Server operating systemsLinux infodistributed as a docker-image
OS X infodistributed as a docker-image (boot2docker)
Windows infodistributed as a docker-image (boot2docker)
Linux
OS X
Windows
Linux
Windows
Linux
Unix
Windows infousing Cygwin
Data schemeyesschema-free infosome layers support schemasyesschema-free, schema definition possible
Typing infopredefined data types such as float or dateyesno infosome layers support typingyesoptions to bring your own types, AVRO
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.nono
Secondary indexesyesnoyesno
SQL infoSupport of SQLSQL-like DML and DDL statementssupported in specific SQL layer onlyyesno
APIs and other access methodsfluentd
ODBC
RESTful HTTP API
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Java API
RESTful HTTP API
Thrift
Supported programming languages.Net
C
C++
Go
Java
JavaScript infoNode.js
PHP
Python
Ruby
Swift
.Net
C
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
C
C#
C++
Groovy
Java
PHP
Python
Scala
Server-side scripts infoStored proceduresLuain SQL-layer onlyuser defined functionsyes infoCoprocessors in Java
Triggersnonoyesyes
Partitioning methods infoMethods for storing different data on different nodesnoneShardingpartitioning by range, list and by hashSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyesSource-replica replicationMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneLinearizable consistencyImmediate ConsistencyImmediate Consistency or Eventual Consistency
Foreign keys infoReferential integrityyes infoautomatically between fact table and dimension tablesin SQL-layer onlyyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDSingle row ACID (across millions of columns)
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 persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes
User concepts infoAccess controlnonofine grained access rights according to SQL-standardAccess Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABAC

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More resources
BigObjectFoundationDBFujitsu Enterprise PostgresHBase
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