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DBMS > Apache Drill vs. DataFS vs. Linter vs. TimescaleDB

System Properties Comparison Apache Drill vs. DataFS vs. Linter vs. TimescaleDB

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Editorial information provided by DB-Engines
NameApache Drill  Xexclude from comparisonDataFS  Xexclude from comparisonLinter  Xexclude from comparisonTimescaleDB  Xexclude from comparison
DescriptionSchema-free SQL Query Engine for Hadoop, NoSQL and Cloud StorageAll 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 requirementsA time series DBMS optimized for fast ingest and complex queries, based on PostgreSQL
Primary database modelDocument store
Relational DBMS
Object oriented DBMSRelational DBMSTime Series DBMS
Secondary database modelsGraph DBMSSpatial DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.95
Rank#127  Overall
#23  Document stores
#60  Relational DBMS
Score0.06
Rank#354  Overall
#15  Object oriented DBMS
Score0.09
Rank#346  Overall
#152  Relational DBMS
Score4.64
Rank#71  Overall
#4  Time Series DBMS
Websitedrill.apache.orgnewdatabase.comlinter.ruwww.timescale.com
Technical documentationdrill.apache.org/­docsdev.mobiland.com/­Overview.xspdocs.timescale.com
DeveloperApache Software FoundationMobiland AGrelex.ruTimescale
Initial release2012201819902017
Current release1.20.3, January 20231.1.263, October 20222.15.0, May 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2commercialcommercialOpen 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
Server operating systemsLinux
OS X
Windows
WindowsAIX
Android
BSD
HP Open VMS
iOS
Linux
OS X
VxWorks
Windows
Linux
OS X
Windows
Data schemeschema-freeClasses, Structs, and Lists are written in proprietary DataTypeDefinitionLanguage (.dtdl) and Objects consisting of those are written in proprietary DataAccessDefinitionLanguage (.dadl)yesyes
Typing infopredefined data types such as float or dateyesyesyesnumerics, 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 indexesnonoyesyes
SQL infoSupport of SQLSQL SELECT statement is SQL:2003 compliantnoyesyes infofull PostgreSQL SQL syntax
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
.NET Client API
Proprietary client DLL
WinRT client
ADO.NET
JDBC
LINQ
ODBC
OLE DB
Oracle Call Interface (OCI)
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Supported programming languagesC++.Net
C
C#
C++
VB.Net
C
C#
C++
Java
Perl
PHP
Python
Qt
Ruby
Tcl
.Net
C
C++
Delphi
Java infoJDBC
JavaScript
Perl
PHP
Python
R
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresuser defined functionsyes infoproprietary syntax with the possibility to convert from PL/SQLuser defined functions, PL/pgSQL, PL/Tcl, PL/Perl, PL/Python, PL/Java, PL/PHP, PL/R, PL/Ruby, PL/Scheme, PL/Unix shell
Triggersnono, except callback-events from server when changes happenedyesyes
Partitioning methods infoMethods for storing different data on different nodesShardingProprietary Sharding systemnoneyes, across time and space (hash partitioning) attributes
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationSource-replica replication with hot standby and reads on replicas info
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentDepending on the underlying data sourceyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.Depending on the underlying data sourcenono
User concepts infoAccess controlDepending on the underlying data sourceWindows-Profilefine grained access rights according to SQL-standardfine grained access rights according to SQL-standard

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More resources
Apache DrillDataFSLinterTimescaleDB
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