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DBMS > FoundationDB vs. NSDb vs. Postgres-XL vs. RRDtool

System Properties Comparison FoundationDB vs. NSDb vs. Postgres-XL vs. RRDtool

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Editorial information provided by DB-Engines
NameFoundationDB  Xexclude from comparisonNSDb  Xexclude from comparisonPostgres-XL  Xexclude from comparisonRRDtool  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Created as commercial project in 2013, FoundationDB has been acquired by Apple in March 2015 and was withdrawn from the market.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.Scalable, High-performance Time Series DBMS designed for Real-time Analytics on top of KubernetesBased on PostgreSQL enhanced with MPP and write-scale-out cluster featuresIndustry standard data logging and graphing tool for time series data. RRD is an acronym for round-robin database. infoThe data is stored in a circular buffer, thus the system storage footprint remains constant over time.
Primary database modelDocument store infosupported via specific layer
Key-value store
Relational DBMS infosupported via specific SQL-layer
Time Series DBMSRelational DBMSTime Series DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.07
Rank#188  Overall
#31  Document stores
#28  Key-value stores
#86  Relational DBMS
Score0.00
Rank#396  Overall
#42  Time Series DBMS
Score0.52
Rank#256  Overall
#117  Relational DBMS
Score2.14
Rank#124  Overall
#10  Time Series DBMS
Websitegithub.com/­apple/­foundationdbnsdb.iowww.postgres-xl.orgoss.oetiker.ch/­rrdtool
Technical documentationapple.github.io/­foundationdbnsdb.io/­Architecturewww.postgres-xl.org/­documentationoss.oetiker.ch/­rrdtool/­doc
DeveloperFoundationDBTobias Oetiker
Initial release201320172014 infosince 2012, originally named StormDB1999
Current release6.2.28, November 202010 R1, October 20181.8.0, 2022
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoApache Version 2.0Open Source infoMozilla public licenseOpen Source infoGPL V2 and FLOSS
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++Java, ScalaCC infoImplementations in Java (e.g. RRD4J) and C# available
Server operating systemsLinux
OS X
Windows
Linux
macOS
Linux
macOS
HP-UX
Linux
Data schemeschema-free infosome layers support schemasyesyes
Typing infopredefined data types such as float or dateno infosome layers support typingyes: int, bigint, decimal, stringyesNumeric data only
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.noyes infoXML type, but no XML query functionalityno infoExporting into and restoring from XML files possible
Secondary indexesnoall fields are automatically indexedyesno
SQL infoSupport of SQLsupported in specific SQL layer onlySQL-like query languageyes infodistributed, parallel query executionno
APIs and other access methodsgRPC
HTTP REST
WebSocket
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
in-process shared library
Pipes
Supported programming languages.Net
C
C++
Go
Java
JavaScript infoNode.js
PHP
Python
Ruby
Swift
Java
Scala
.Net
C
C++
Delphi
Erlang
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
C infowith librrd library
C# infowith a different implementation of RRDTool
Java infowith a different implementation of RRDTool
JavaScript (Node.js) infowith a different implementation of RRDTool
Lua
Perl
PHP infowith a wrapper library
Python
Ruby
Server-side scripts infoStored proceduresin SQL-layer onlynouser defined functionsno
Triggersnoyesno
Partitioning methods infoMethods for storing different data on different nodesShardingShardinghorizontal partitioningnone
Replication methods infoMethods for redundantly storing data on multiple nodesyesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemLinearizable consistencyEventual ConsistencyImmediate Consistencynone
Foreign keys infoReferential integrityin SQL-layer onlynoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACID infoMVCCno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infoby using the rrdcached daemon
Durability infoSupport for making data persistentyesUsing Apache Luceneyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes
User concepts infoAccess controlnofine grained access rights according to SQL-standardno

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More resources
FoundationDBNSDbPostgres-XLRRDtool
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