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DBMS > Faircom DB vs. Pinecone vs. Prometheus vs. RRDtool

System Properties Comparison Faircom DB vs. Pinecone vs. Prometheus vs. RRDtool

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Editorial information provided by DB-Engines
NameFaircom DB infoformerly c-treeACE  Xexclude from comparisonPinecone  Xexclude from comparisonPrometheus  Xexclude from comparisonRRDtool  Xexclude from comparison
DescriptionNative high-speed multi-model DBMS for relational and key-value store data simultaneously accessible through SQL and NoSQL APIs.A managed, cloud-native vector databaseOpen-source Time Series DBMS and monitoring systemIndustry 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 modelKey-value store
Relational DBMS
Vector DBMSTime Series DBMSTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.18
Rank#314  Overall
#45  Key-value stores
#141  Relational DBMS
Score3.02
Rank#87  Overall
#3  Vector DBMS
Score7.56
Rank#49  Overall
#3  Time Series DBMS
Score1.70
Rank#136  Overall
#11  Time Series DBMS
Websitewww.faircom.com/­products/­faircom-dbwww.pinecone.ioprometheus.iooss.oetiker.ch/­rrdtool
Technical documentationdocs.faircom.com/­docs/­en/­UUID-7446ae34-a1a7-c843-c894-d5322e395184.htmldocs.pinecone.io/­docs/­overviewprometheus.io/­docsoss.oetiker.ch/­rrdtool/­doc
DeveloperFairCom CorporationPinecone Systems, IncTobias Oetiker
Initial release1979201920151999
Current releaseV13, July 20241.8.0, 2022
License infoCommercial or Open Sourcecommercial infoRestricted, free version availablecommercialOpen Source infoApache 2.0Open Source infoGPL V2 and FLOSS
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageANSI C, C++GoC infoImplementations in Java (e.g. RRD4J) and C# available
Server operating systemsAIX
FreeBSD
HP-UX
Linux
NetBSD
OS X
QNX
SCO
Solaris
VxWorks
Windows infoeasily portable to other OSs
hostedLinux
Windows
HP-UX
Linux
Data schemeschema free, schema optional, schema required, partial schema,yesyes
Typing infopredefined data types such as float or dateyes, ANSI SQL Types, JSON, typed binary structuresString, Number, BooleanNumeric data onlyNumeric 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.nonono infoImport of XML data possibleno infoExporting into and restoring from XML files possible
Secondary indexesyesnono
SQL infoSupport of SQLyes, ANSI SQL with proprietary extensionsnonono
APIs and other access methodsADO.NET
Direct SQL
JDBC
JPA
ODBC
RESTful HTTP/JSON API
RESTful MQTT/JSON API
RPC
RESTful HTTP APIRESTful HTTP/JSON APIin-process shared library
Pipes
Supported programming languages.Net
C
C#
C++
Java
JavaScript (Node.js and browser)
PHP
Python
Visual Basic
Python.Net
C++
Go
Haskell
Java
JavaScript (Node.js)
Python
Ruby
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 proceduresyes info.Net, JavaScript, C/C++nono
Triggersyesnono
Partitioning methods infoMethods for storing different data on different nodesFile partitioning, horizontal partitioning, sharding infoCustomizable business rules for table partitioningShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesyes, configurable to be parallel or serial, synchronous or asynchronous, uni-directional or bi-directional, ACID-consistent or eventually consistent (with custom conflict resolution).yes infoby Federationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency
Tunable consistency per server, database, table, and transaction
nonenone
Foreign keys infoReferential integrityyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datatunable from ACID to Eventually Consistentnono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infoby using the rrdcached daemon
Durability infoSupport for making data persistentYes, tunable from durable to delayed durability to in-memoryyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnonoyes
User concepts infoAccess controlFine grained access rights according to SQL-standard with additional protections for filesnono

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More resources
Faircom DB infoformerly c-treeACEPineconePrometheusRRDtool
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