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DBMS > FoundationDB vs. jBASE vs. Kinetica vs. LevelDB vs. Netezza

System Properties Comparison FoundationDB vs. jBASE vs. Kinetica vs. LevelDB vs. Netezza

Editorial information provided by DB-Engines
NameFoundationDB  Xexclude from comparisonjBASE  Xexclude from comparisonKinetica  Xexclude from comparisonLevelDB  Xexclude from comparisonNetezza infoAlso called PureData System for Analytics by IBM  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Created as commercial project in 2013, FoundationDB has been acquired by Apple in March 2015 and was withdrawn from the market.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.
DescriptionOrdered key-value store. Core features are complimented by layers.A robust multi-value DBMS comprising development tools and middlewareFully vectorized database across both GPUs and CPUsEmbeddable fast key-value storage library that provides an ordered mapping from string keys to string valuesData warehouse and analytics appliance part of IBM PureSystems
Primary database modelDocument store infosupported via specific layer
Key-value store
Relational DBMS infosupported via specific SQL-layer
Multivalue DBMSRelational DBMSKey-value storeRelational DBMS
Secondary database modelsSpatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.03
Rank#190  Overall
#31  Document stores
#28  Key-value stores
#89  Relational DBMS
Score1.41
Rank#159  Overall
#3  Multivalue DBMS
Score0.64
Rank#236  Overall
#109  Relational DBMS
Score2.35
Rank#111  Overall
#19  Key-value stores
Score9.06
Rank#46  Overall
#29  Relational DBMS
Websitegithub.com/­apple/­foundationdbwww.rocketsoftware.com/­products/­rocket-multivalue-application-development-platform/­rocket-jbasewww.kinetica.comgithub.com/­google/­leveldbwww.ibm.com/­products/­netezza
Technical documentationapple.github.io/­foundationdbdocs.rocketsoftware.com/­bundle?labelkey=jbase_5.9docs.kinetica.comgithub.com/­google/­leveldb/­blob/­main/­doc/­index.md
DeveloperFoundationDBRocket Software (formerly Zumasys)KineticaGoogleIBM
Initial release20131991201220112000
Current release6.2.28, November 20205.77.1, August 20211.23, February 2021
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialcommercialOpen Source infoBSDcommercial
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++C, C++C++
Server operating systemsLinux
OS X
Windows
AIX
Linux
Windows
LinuxIllumos
Linux
OS X
Windows
Linux infoincluded in appliance
Data schemeschema-free infosome layers support schemasschema-freeyesschema-freeyes
Typing infopredefined data types such as float or dateno infosome layers support typingoptionalyesnoyes
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.yesnono
Secondary indexesnoyesnoyes
SQL infoSupport of SQLsupported in specific SQL layer onlyEmbedded SQL for jBASE in BASICSQL-like DML and DDL statementsnoyes
APIs and other access methodsJDBC
ODBC
Proprietary protocol
RESTful HTTP API
SOAP-based API
JDBC
ODBC
RESTful HTTP API
JDBC
ODBC
OLE DB
Supported programming languages.Net
C
C++
Go
Java
JavaScript infoNode.js
PHP
Python
Ruby
Swift
.Net
Basic
Jabbascript
Java
C++
Java
JavaScript (Node.js)
Python
C++
Go
Java info3rd party binding
JavaScript (Node.js) info3rd party binding
Python info3rd party binding
C
C++
Fortran
Java
Lua
Perl
Python
R
Server-side scripts infoStored proceduresin SQL-layer onlyyesuser defined functionsnoyes
Triggersnoyesyes infotriggers when inserted values for one or more columns fall within a specified rangenono
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardingnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesyesSource-replica replicationnoneSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemLinearizable consistencyImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistency
Foreign keys infoReferential integrityin SQL-layer onlynoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnonoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infowith automatic compression on writesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes infoGPU vRAM or System RAM
User concepts infoAccess controlnoAccess rights can be defined down to the item levelAccess rights for users and roles on table levelnoUsers with fine-grained authorization concept

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More resources
FoundationDBjBASEKineticaLevelDBNetezza infoAlso called PureData System for Analytics by IBM
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