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DBMS > Databricks vs. Graphite vs. ITTIA vs. Newts

System Properties Comparison Databricks vs. Graphite vs. ITTIA vs. Newts

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Editorial information provided by DB-Engines
NameDatabricks  Xexclude from comparisonGraphite  Xexclude from comparisonITTIA  Xexclude from comparisonNewts  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.Data logging and graphing tool for time series data infoThe storage layer (fixed size database) is called WhisperEdge Time Series DBMS with Real-Time Stream ProcessingTime Series DBMS based on Cassandra
Primary database modelDocument store
Relational DBMS
Time Series DBMSTime Series DBMSTime Series DBMS
Secondary database modelsRelational 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
Score4.83
Rank#67  Overall
#4  Time Series DBMS
Score0.44
Rank#267  Overall
#23  Time Series DBMS
Score0.07
Rank#375  Overall
#41  Time Series DBMS
Websitewww.databricks.comgithub.com/­graphite-project/­graphite-webwww.ittia.comopennms.github.io/­newts
Technical documentationdocs.databricks.comgraphite.readthedocs.iogithub.com/­OpenNMS/­newts/­wiki
DeveloperDatabricksChris DavisITTIA L.L.C.OpenNMS Group
Initial release2013200620072014
Current release8.7
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0commercialOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languagePythonC and C++Java
Server operating systemshostedLinux
Unix
Linux
Windows
Linux
OS X
Windows
Data schemeFlexible Schema (defined schema, partial schema, schema free)yesFixed schemaschema-free
Typing infopredefined data types such as float or dateNumeric data onlyFloat/Blob/Integer/String/Unicode/Date/Time/Timestamp/Intervalyes
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.yesnonono
Secondary indexesyesnoyesno
SQL infoSupport of SQLwith Databricks SQLnoyesno
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
HTTP API
Sockets
JDBC
ODBC
RESTful HTTP API
WebSocket
HTTP REST
Java API
Supported programming languagesPython
R
Scala
JavaScript (Node.js)
Python
C
C++
JavaScript (Node.js)
Python
Java
Server-side scripts infoStored proceduresuser defined functions and aggregatesnoyesno
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infobased on Cassandra
Replication methods infoMethods for redundantly storing data on multiple nodesyesnoneyesselectable replication factor infobased on Cassandra
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencynoneEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Foreign keys infoReferential integritynoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoyesno
Concurrency infoSupport for concurrent manipulation of datayesyes infolockingyes, multi-version concurrency control (MVCC)yes
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.noyesno
User concepts infoAccess controlnoDatabase file passwordsno
More information provided by the system vendor
DatabricksGraphiteITTIANewts
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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DatabricksGraphiteITTIANewts
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