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DBMS > DataFS vs. Linter vs. Sequoiadb vs. TimescaleDB

System Properties Comparison DataFS vs. Linter vs. Sequoiadb vs. TimescaleDB

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Editorial information provided by DB-Engines
NameDataFS  Xexclude from comparisonLinter  Xexclude from comparisonSequoiadb  Xexclude from comparisonTimescaleDB  Xexclude from comparison
DescriptionAll data is stored inside objects which are linked by so-called link attributes. Objects consist of classes which can be extended and de-extended at runtime. Graphs can be defined with a struct.RDBMS for high security requirementsNewSQL database with distributed OLTP and SQLA time series DBMS optimized for fast ingest and complex queries, based on PostgreSQL
Primary database modelObject oriented DBMSRelational DBMSDocument store
Relational DBMS
Time Series DBMS
Secondary database modelsGraph DBMSSpatial DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.06
Rank#354  Overall
#15  Object oriented DBMS
Score0.09
Rank#346  Overall
#152  Relational DBMS
Score0.45
Rank#261  Overall
#41  Document stores
#122  Relational DBMS
Score4.64
Rank#71  Overall
#4  Time Series DBMS
Websitenewdatabase.comlinter.ruwww.sequoiadb.comwww.timescale.com
Technical documentationdev.mobiland.com/­Overview.xspwww.sequoiadb.com/­en/­index.php?m=Files&a=indexdocs.timescale.com
DeveloperMobiland AGrelex.ruSequoiadb Ltd.Timescale
Initial release2018199020132017
Current release1.1.263, October 20222.15.0, May 2024
License infoCommercial or Open SourcecommercialcommercialOpen Source infoServer: AGPL; Client: Apache V2Open Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC and C++C++C
Server operating systemsWindowsAIX
Android
BSD
HP Open VMS
iOS
Linux
OS X
VxWorks
Windows
LinuxLinux
OS X
Windows
Data schemeClasses, Structs, and Lists are written in proprietary DataTypeDefinitionLanguage (.dtdl) and Objects consisting of those are written in proprietary DataAccessDefinitionLanguage (.dadl)yesschema-freeyes
Typing infopredefined data types such as float or dateyesyesyes infooid, date, timestamp, binary, regexnumerics, strings, booleans, arrays, JSON blobs, geospatial dimensions, currencies, binary data, other complex data types
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.nononoyes
Secondary indexesnoyesyesyes
SQL infoSupport of SQLnoyesSQL-like query languageyes infofull PostgreSQL SQL syntax
APIs and other access methods.NET Client API
Proprietary client DLL
WinRT client
ADO.NET
JDBC
LINQ
ODBC
OLE DB
Oracle Call Interface (OCI)
proprietary protocol using JSONADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Supported programming languages.Net
C
C#
C++
VB.Net
C
C#
C++
Java
Perl
PHP
Python
Qt
Ruby
Tcl
.Net
C++
Java
PHP
Python
.Net
C
C++
Delphi
Java infoJDBC
JavaScript
Perl
PHP
Python
R
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresyes infoproprietary syntax with the possibility to convert from PL/SQLJavaScriptuser defined functions, PL/pgSQL, PL/Tcl, PL/Perl, PL/Python, PL/Java, PL/PHP, PL/R, PL/Ruby, PL/Scheme, PL/Unix shell
Triggersno, except callback-events from server when changes happenedyesnoyes
Partitioning methods infoMethods for storing different data on different nodesProprietary Sharding systemnoneShardingyes, across time and space (hash partitioning) attributes
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationSource-replica replicationSource-replica replication with hot standby and reads on replicas info
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDDocument is locked during a transactionACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonono
User concepts infoAccess controlWindows-Profilefine grained access rights according to SQL-standardsimple password-based access controlfine grained access rights according to SQL-standard

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More resources
DataFSLinterSequoiadbTimescaleDB
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