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DBMS > Faircom DB vs. PlanetScale vs. Valentina Server vs. YottaDB

System Properties Comparison Faircom DB vs. PlanetScale vs. Valentina Server vs. YottaDB

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Editorial information provided by DB-Engines
NameFaircom DB infoformerly c-treeACE  Xexclude from comparisonPlanetScale  Xexclude from comparisonValentina Server  Xexclude from comparisonYottaDB  Xexclude from comparison
DescriptionNative high-speed multi-model DBMS for relational and key-value store data simultaneously accessible through SQL and NoSQL APIs.Scalable, distributed, serverless MySQL database platform built on top of VitessObject-relational database and reports serverA fast and solid embedded Key-value store
Primary database modelKey-value store
Relational DBMS
Relational DBMSRelational DBMSKey-value store
Secondary database modelsDocument store
Spatial DBMS
Relational DBMS infousing the Octo plugin
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.29
Rank#304  Overall
#43  Key-value stores
#136  Relational DBMS
Score1.49
Rank#155  Overall
#72  Relational DBMS
Score0.21
Rank#325  Overall
#144  Relational DBMS
Score0.28
Rank#306  Overall
#44  Key-value stores
Websitewww.faircom.com/­products/­faircom-dbplanetscale.comwww.valentina-db.netyottadb.com
Technical documentationdocs.faircom.com/­docs/­en/­UUID-7446ae34-a1a7-c843-c894-d5322e395184.htmlplanetscale.com/­docsvalentina-db.com/­docs/­dokuwiki/­v5/­doku.phpyottadb.com/­resources/­documentation
DeveloperFairCom CorporationPlanetScaleParadigma SoftwareYottaDB, LLC
Initial release1979202019992001
Current releaseV12, November 20205.7.5
License infoCommercial or Open Sourcecommercial infoRestricted, free version availablecommercialcommercialOpen Source infoAGPL 3.0
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
Server operating systemsAIX
FreeBSD
HP-UX
Linux
NetBSD
OS X
QNX
SCO
Solaris
VxWorks
Windows infoeasily portable to other OSs
Docker
Linux
macOS
Linux
OS X
Windows
Docker
Linux
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 structuresyesyesno
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 indexesyesyesyesno
SQL infoSupport of SQLyes, ANSI SQL with proprietary extensionsyes infowith proprietary extensionsyesby using the Octo plugin
APIs and other access methodsADO.NET
Direct SQL
JDBC
JPA
ODBC
RESTful HTTP/JSON API
RESTful MQTT/JSON API
RPC
ADO.NET
JDBC
MySQL protocol
ODBC
ODBCPostgreSQL wire protocol infousing the Octo plugin
Proprietary protocol
Supported programming languages.Net
C
C#
C++
Java
JavaScript (Node.js and browser)
PHP
Python
Visual Basic
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++
Objective-C
PHP
Ruby
Visual Basic
Visual Basic.NET
C
Go
JavaScript (Node.js)
Lua
M
Perl
Python
Rust
Server-side scripts infoStored proceduresyes info.Net, JavaScript, C/C++yes infoproprietary syntaxyes
Triggersyesyesyes
Partitioning methods infoMethods for storing different data on different nodesFile partitioning, horizontal partitioning, sharding infoCustomizable business rules for table partitioningSharding
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).Multi-source replication
Source-replica replication
yes
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
Eventual Consistency across shards
Immediate Consistency within a shard
Foreign keys infoReferential integrityyesyes infonot for MyISAM storage engineyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datatunable from ACID to Eventually ConsistentACID at shard leveloptimistic locking
Concurrency infoSupport for concurrent manipulation of datayesyes infotable locks or row locks depending on storage engine
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.yesyesyesyes
User concepts infoAccess controlFine grained access rights according to SQL-standard with additional protections for filesUsers with fine-grained authorization concept infono user groups or rolesfine grained access rights according to SQL-standardUsers and groups based on OS-security mechanisms

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More resources
Faircom DB infoformerly c-treeACEPlanetScaleValentina ServerYottaDB
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