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DBMS > FoundationDB vs. Newts vs. Quasardb

System Properties Comparison FoundationDB vs. Newts vs. Quasardb

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Editorial information provided by DB-Engines
NameFoundationDB  Xexclude from comparisonNewts  Xexclude from comparisonQuasardb  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Created as commercial project in 2013, FoundationDB has been acquired by Apple in March 2015 and was withdrawn from the market.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.Time Series DBMS based on CassandraDistributed, high-performance timeseries database
Primary database modelDocument store infosupported via specific layer
Key-value store
Relational DBMS infosupported via specific SQL-layer
Time Series DBMSTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.32
Rank#149  Overall
#26  Document stores
#28  Key-value stores
#72  Relational DBMS
Score0.00
Rank#354  Overall
#35  Time Series DBMS
Score0.26
Rank#280  Overall
#22  Time Series DBMS
Websitewww.foundationdb.orgopennms.github.io/­newtsquasardb.net
Technical documentationapple.github.io/­foundationdbgithub.com/­OpenNMS/­newts/­wikidoc.quasardb.net
DeveloperFoundationDBOpenNMS Groupquasardb
Initial release201320142009
Current release6.2.28, November 20203.1, January 2019
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoApache 2.0commercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licenses
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++JavaC++
Server operating systemsLinux
OS X
Windows
Linux
OS X
Windows
BSD
Linux
OS X
Windows
Data schemeschema-free infosome layers support schemasschema-freeschema-free
Typing infopredefined data types such as float or dateno infosome layers support typingyesyes infointeger and binary
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 indexesnonoyes infowith tags
SQL infoSupport of SQLsupported in specific SQL layer onlynoSQL-like query language
APIs and other access methodsHTTP REST
Java API
HTTP API
Supported programming languages.Net
C
C++
Go
Java
JavaScript infoNode.js
PHP
Python
Ruby
Swift
Java.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
Server-side scripts infoStored proceduresin SQL-layer onlynono
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infobased on CassandraSharding infoconsistent hashing
Replication methods infoMethods for redundantly storing data on multiple nodesyesselectable replication factor infobased on CassandraSource-replica replication with selectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonowith Hadoop integration
Consistency concepts infoMethods to ensure consistency in a distributed systemLinearizable consistencyEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate Consistency
Foreign keys infoReferential integrityin SQL-layer onlynono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes infoby using LevelDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes infoTransient mode
User concepts infoAccess controlnonoCryptographically strong user authentication and audit trail
More information provided by the system vendor
FoundationDBNewtsQuasardb
Specific characteristicsHigh-performance , high-speed, fully integrated timeseries database Seamlessly combines...
» more
Competitive advantagesHigh performance in a cost-effective small package Real-time results for even large...
» more
Typical application scenariosTick database Predictive maintenance Pre-deal checks Large scale monitoring
» more
Key customersLarge EU investment banks US based hedge funds Orolia Tellmeplus
» more
Market metricsHas been running in very demanding production environments since 2013 Rapid adoption...
» more
Licensing and pricing modelsCommunity edition limited to 2 nodes and 16 GiB of storage per node available for...
» more

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More resources
FoundationDBNewtsQuasardb
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