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DBMS > Databricks vs. Interbase vs. RRDtool

System Properties Comparison Databricks vs. Interbase vs. RRDtool

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Editorial information provided by DB-Engines
NameDatabricks  Xexclude from comparisonInterbase  Xexclude from comparisonRRDtool  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.Light-weight proven RDBMS infooriginally from BorlandIndustry 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.
Primary database modelDocument store
Relational DBMS
Relational DBMSTime Series 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
Score4.08
Rank#75  Overall
#41  Relational DBMS
Score1.90
Rank#132  Overall
#11  Time Series DBMS
Websitewww.databricks.comwww.embarcadero.com/­products/­interbaseoss.oetiker.ch/­rrdtool
Technical documentationdocs.databricks.comdocs.embarcadero.com/­products/­interbaseoss.oetiker.ch/­rrdtool/­doc
DeveloperDatabricksEmbarcaderoTobias Oetiker
Initial release201319841999
Current releaseInterBase 2020, December 20191.8.0, 2022
License infoCommercial or Open SourcecommercialcommercialOpen Source infoGPL V2 and FLOSS
Cloud-based only infoOnly available as a cloud serviceyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageCC infoImplementations in Java (e.g. RRD4J) and C# available
Server operating systemshostedAndroid
iOS
Linux
OS X
Windows
HP-UX
Linux
Data schemeFlexible Schema (defined schema, partial schema, schema free)yesyes
Typing infopredefined data types such as float or dateyesNumeric data only
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 infoexport as XML data possibleno infoExporting into and restoring from XML files possible
Secondary indexesyesyesno
SQL infoSupport of SQLwith Databricks SQLyesno
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
ADO.NET
JDBC
ODBC
in-process shared library
Pipes
Supported programming languagesPython
R
Scala
.Net
C
C++
Delphi
Java
Object Pascal
PHP
Ruby
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
Server-side scripts infoStored proceduresuser defined functions and aggregatesyes infoInterbase procedure and trigger languageno
Triggersyesno
Partitioning methods infoMethods for storing different data on different nodesnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesyesInterbase Change Viewsnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistencynone
Foreign keys infoReferential integrityyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyes infoMultiversion concurreny controlyes infoby using the rrdcached daemon
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 controlfine grained access rights according to SQL-standardno
More information provided by the system vendor
DatabricksInterbaseRRDtool
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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DatabricksInterbaseRRDtool
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