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DBMS > Databricks vs. OrigoDB vs. RRDtool

System Properties Comparison Databricks vs. OrigoDB vs. RRDtool

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Editorial information provided by DB-Engines
NameDatabricks  Xexclude from comparisonOrigoDB  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.A fully ACID in-memory object graph databaseIndustry 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
Document store
Object oriented DBMS
Time 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
Score0.06
Rank#380  Overall
#50  Document stores
#19  Object oriented DBMS
Score1.90
Rank#132  Overall
#11  Time Series DBMS
Websitewww.databricks.comorigodb.comoss.oetiker.ch/­rrdtool
Technical documentationdocs.databricks.comorigodb.com/­docsoss.oetiker.ch/­rrdtool/­doc
DeveloperDatabricksRobert Friberg et alTobias Oetiker
Initial release20132009 infounder the name LiveDB1999
Current release1.8.0, 2022
License infoCommercial or Open SourcecommercialOpen SourceOpen 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 languageC#C infoImplementations in Java (e.g. RRD4J) and C# available
Server operating systemshostedLinux
Windows
HP-UX
Linux
Data schemeFlexible Schema (defined schema, partial schema, schema free)yesyes
Typing infopredefined data types such as float or dateUser defined using .NET types and collectionsNumeric 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 infocan be achieved using .NETno infoExporting into and restoring from XML files possible
Secondary indexesyesyesno
SQL infoSupport of SQLwith Databricks SQLnono
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
.NET Client API
HTTP API
LINQ
in-process shared library
Pipes
Supported programming languagesPython
R
Scala
.NetC 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 aggregatesyesno
Triggersyes infoDomain Eventsno
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning infoclient side managed; servers are not synchronizednone
Replication methods infoMethods for redundantly storing data on multiple nodesyesSource-replica replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistencynone
Foreign keys infoReferential integritydepending on modelno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoby using the rrdcached daemon
Durability infoSupport for making data persistentyesyes infoWrite ahead logyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes
User concepts infoAccess controlRole based authorizationno
More information provided by the system vendor
DatabricksOrigoDBRRDtool
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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More resources
DatabricksOrigoDBRRDtool
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