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DBMS > Databricks vs. RRDtool vs. SQLite

System Properties Comparison Databricks vs. RRDtool vs. SQLite

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Editorial information provided by DB-Engines
NameDatabricks  Xexclude from comparisonRRDtool  Xexclude from comparisonSQLite  Xexclude from comparison
DescriptionThe Databricks Lakehouse Platform combines elements of data lakes and data warehouses to provide a unified view onto structured and unstructured data. It is based on Apache Spark.Industry 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.Widely used embeddable, in-process RDBMS
Primary database modelDocument store
Relational DBMS
Time Series DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score81.08
Rank#15  Overall
#2  Document stores
#10  Relational DBMS
Score1.90
Rank#132  Overall
#11  Time Series DBMS
Score111.41
Rank#10  Overall
#7  Relational DBMS
Websitewww.databricks.comoss.oetiker.ch/­rrdtoolwww.sqlite.org
Technical documentationdocs.databricks.comoss.oetiker.ch/­rrdtool/­docwww.sqlite.org/­docs.html
DeveloperDatabricksTobias OetikerDwayne Richard Hipp
Initial release201319992000
Current release1.8.0, 20223.46.0  (23 May 2024), May 2024
License infoCommercial or Open SourcecommercialOpen Source infoGPL V2 and FLOSSOpen Source infoPublic Domain
Cloud-based only infoOnly available as a cloud serviceyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC infoImplementations in Java (e.g. RRD4J) and C# availableC
Server operating systemshostedHP-UX
Linux
server-less
Data schemeFlexible Schema (defined schema, partial schema, schema free)yesyes infodynamic column types
Typing infopredefined data types such as float or dateNumeric data onlyyes infonot rigid because of 'dynamic typing' concept.
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.yesno infoExporting into and restoring from XML files possibleno
Secondary indexesyesnoyes
SQL infoSupport of SQLwith Databricks SQLnoyes infoSQL-92 is not fully supported
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
in-process shared library
Pipes
ADO.NET infoinofficial driver
JDBC infoinofficial driver
ODBC infoinofficial driver
Supported programming languagesPython
R
Scala
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
Actionscript
Ada
Basic
C
C#
C++
D
Delphi
Forth
Fortran
Haskell
Java
JavaScript
Lisp
Lua
MatLab
Objective-C
OCaml
Perl
PHP
PL/SQL
Python
R
Ruby
Scala
Scheme
Smalltalk
Tcl
Server-side scripts infoStored proceduresuser defined functions and aggregatesnono
Triggersnoyes
Partitioning methods infoMethods for storing different data on different nodesnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesyesnonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistencynone
Foreign keys infoReferential integritynoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyes infoby using the rrdcached daemonyes infovia file-system locks
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes
User concepts infoAccess controlnono
More information provided by the system vendor
DatabricksRRDtoolSQLite
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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DatabricksRRDtoolSQLite
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