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DBMS > BigObject vs. FoundationDB vs. Hive

System Properties Comparison BigObject vs. FoundationDB vs. Hive

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Editorial information provided by DB-Engines
NameBigObject  Xexclude from comparisonFoundationDB  Xexclude from comparisonHive  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Created as commercial project in 2013, FoundationDB has been acquired by Apple in March 2015 and was withdrawn from the market.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.data warehouse software for querying and managing large distributed datasets, built on Hadoop
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 DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.13
Rank#333  Overall
#147  Relational DBMS
Score1.03
Rank#190  Overall
#31  Document stores
#28  Key-value stores
#89  Relational DBMS
Score61.17
Rank#18  Overall
#12  Relational DBMS
Websitebigobject.iogithub.com/­apple/­foundationdbhive.apache.org
Technical documentationdocs.bigobject.ioapple.github.io/­foundationdbcwiki.apache.org/­confluence/­display/­Hive/­Home
DeveloperBigObject, Inc.FoundationDBApache Software Foundation infoinitially developed by Facebook
Initial release201520132012
Current release6.2.28, November 20203.1.3, April 2022
License infoCommercial or Open Sourcecommercial infofree community edition availableOpen Source infoApache 2.0Open Source infoApache Version 2
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++Java
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
All OS with a Java VM
Data schemeyesschema-free infosome layers support schemasyes
Typing infopredefined data types such as float or dateyesno infosome layers support typingyes
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.no
Secondary indexesyesnoyes
SQL infoSupport of SQLSQL-like DML and DDL statementssupported in specific SQL layer onlySQL-like DML and DDL statements
APIs and other access methodsfluentd
ODBC
RESTful HTTP API
JDBC
ODBC
Thrift
Supported programming languages.Net
C
C++
Go
Java
JavaScript infoNode.js
PHP
Python
Ruby
Swift
C++
Java
PHP
Python
Server-side scripts infoStored proceduresLuain SQL-layer onlyyes infouser defined functions and integration of map-reduce
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodesnoneShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyesselectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes infoquery execution via MapReduce
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneLinearizable consistencyEventual Consistency
Foreign keys infoReferential integrityyes infoautomatically between fact table and dimension tablesin SQL-layer onlyno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDno
Concurrency infoSupport for concurrent manipulation of datayes infoRead/write lock on objects (tables, trees)yesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes
User concepts infoAccess controlnonoAccess rights for users, groups and roles

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More resources
BigObjectFoundationDBHive
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