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DBMS > Faircom DB vs. Kinetica vs. PlanetScale vs. Quasardb

System Properties Comparison Faircom DB vs. Kinetica vs. PlanetScale vs. Quasardb

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Editorial information provided by DB-Engines
NameFaircom DB infoformerly c-treeACE  Xexclude from comparisonKinetica  Xexclude from comparisonPlanetScale  Xexclude from comparisonQuasardb  Xexclude from comparison
DescriptionNative high-speed multi-model DBMS for relational and key-value store data simultaneously accessible through SQL and NoSQL APIs.Fully vectorized database across both GPUs and CPUsScalable, distributed, serverless MySQL database platform built on top of VitessDistributed, high-performance timeseries database
Primary database modelKey-value store
Relational DBMS
Relational DBMSRelational DBMSTime Series DBMS
Secondary database modelsSpatial DBMS
Time Series DBMS
Document store
Spatial 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
Score0.42
Rank#261  Overall
#120  Relational DBMS
Score1.09
Rank#178  Overall
#82  Relational DBMS
Score0.13
Rank#332  Overall
#28  Time Series DBMS
Websitewww.faircom.com/­products/­faircom-dbwww.kinetica.complanetscale.comquasar.ai
Technical documentationdocs.faircom.com/­docs/­en/­UUID-7446ae34-a1a7-c843-c894-d5322e395184.htmldocs.kinetica.complanetscale.com/­docsdoc.quasar.ai/­master
DeveloperFairCom CorporationKineticaPlanetScalequasardb
Initial release1979201220202009
Current releaseV13, July 20247.1, August 20213.14.1, January 2024
License infoCommercial or Open Sourcecommercial infoRestricted, free version availablecommercialcommercialcommercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licenses
Cloud-based only infoOnly available as a cloud servicenonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageANSI C, C++C, C++GoC++
Server operating systemsAIX
FreeBSD
HP-UX
Linux
NetBSD
OS X
QNX
SCO
Solaris
VxWorks
Windows infoeasily portable to other OSs
LinuxDocker
Linux
macOS
BSD
Linux
OS X
Windows
Data schemeschema free, schema optional, schema required, partial schema,yesyesschema-free
Typing infopredefined data types such as float or dateyes, ANSI SQL Types, JSON, typed binary structuresyesyesyes 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.nonono
Secondary indexesyesyesyesyes infowith tags
SQL infoSupport of SQLyes, ANSI SQL with proprietary extensionsSQL-like DML and DDL statementsyes infowith proprietary extensionsSQL-like query language
APIs and other access methodsADO.NET
Direct SQL
JDBC
JPA
ODBC
RESTful HTTP/JSON API
RESTful MQTT/JSON API
RPC
JDBC
ODBC
RESTful HTTP API
ADO.NET
JDBC
MySQL protocol
ODBC
HTTP API
Supported programming languages.Net
C
C#
C++
Java
JavaScript (Node.js and browser)
PHP
Python
Visual Basic
C++
Java
JavaScript (Node.js)
Python
Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
Server-side scripts infoStored proceduresyes info.Net, JavaScript, C/C++user defined functionsyes infoproprietary syntaxno
Triggersyesyes infotriggers when inserted values for one or more columns fall within a specified rangeyesno
Partitioning methods infoMethods for storing different data on different nodesFile partitioning, horizontal partitioning, sharding infoCustomizable business rules for table partitioningShardingShardingSharding infoconsistent hashing
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).Source-replica replicationMulti-source replication
Source-replica replication
Source-replica replication with selectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononowith Hadoop integration
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency
Tunable consistency per server, database, table, and transaction
Immediate Consistency or Eventual Consistency depending on configurationEventual Consistency across shards
Immediate Consistency within a shard
Immediate Consistency
Foreign keys infoReferential integrityyesyesyes infonot for MyISAM storage engineno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datatunable from ACID to Eventually ConsistentnoACID at shard levelACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes infotable locks or row locks depending on storage engineyes
Durability infoSupport for making data persistentYes, tunable from durable to delayed durability to in-memoryyesyesyes infoby using LevelDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes infoGPU vRAM or System RAMyesyes infoTransient mode
User concepts infoAccess controlFine grained access rights according to SQL-standard with additional protections for filesAccess rights for users and roles on table levelUsers with fine-grained authorization concept infono user groups or rolesCryptographically strong user authentication and audit trail

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More resources
Faircom DB infoformerly c-treeACEKineticaPlanetScaleQuasardb
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