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DBMS > Databricks vs. Linter vs. Netezza vs. SiriDB

System Properties Comparison Databricks vs. Linter vs. Netezza vs. SiriDB

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Editorial information provided by DB-Engines
NameDatabricks  Xexclude from comparisonLinter  Xexclude from comparisonNetezza infoAlso called PureData System for Analytics by IBM  Xexclude from comparisonSiriDB  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.RDBMS for high security requirementsData warehouse and analytics appliance part of IBM PureSystemsOpen Source Time Series DBMS
Primary database modelDocument store
Relational DBMS
Relational DBMSRelational DBMSTime Series DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score78.61
Rank#15  Overall
#2  Document stores
#10  Relational DBMS
Score0.09
Rank#346  Overall
#152  Relational DBMS
Score9.06
Rank#46  Overall
#29  Relational DBMS
Score0.00
Rank#383  Overall
#41  Time Series DBMS
Websitewww.databricks.comlinter.ruwww.ibm.com/­products/­netezzasiridb.com
Technical documentationdocs.databricks.comdocs.siridb.com
DeveloperDatabricksrelex.ruIBMCesbit
Initial release2013199020002017
License infoCommercial or Open SourcecommercialcommercialcommercialOpen Source infoMIT License
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC and C++C
Server operating systemshostedAIX
Android
BSD
HP Open VMS
iOS
Linux
OS X
VxWorks
Windows
Linux infoincluded in applianceLinux
Data schemeFlexible Schema (defined schema, partial schema, schema free)yesyesyes
Typing infopredefined data types such as float or dateyesyesyes infoNumeric data
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.yesnono
Secondary indexesyesyesyesyes
SQL infoSupport of SQLwith Databricks SQLyesyesno
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
ADO.NET
JDBC
LINQ
ODBC
OLE DB
Oracle Call Interface (OCI)
JDBC
ODBC
OLE DB
HTTP API
Supported programming languagesPython
R
Scala
C
C#
C++
Java
Perl
PHP
Python
Qt
Ruby
Tcl
C
C++
Fortran
Java
Lua
Perl
Python
R
C
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
Server-side scripts infoStored proceduresuser defined functions and aggregatesyes infoproprietary syntax with the possibility to convert from PL/SQLyesno
Triggersyesnono
Partitioning methods infoMethods for storing different data on different nodesnoneShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesSource-replica replicationSource-replica replicationyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
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.noyes
User concepts infoAccess controlfine grained access rights according to SQL-standardUsers with fine-grained authorization conceptsimple rights management via user accounts
More information provided by the system vendor
DatabricksLinterNetezza infoAlso called PureData System for Analytics by IBMSiriDB
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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More resources
DatabricksLinterNetezza infoAlso called PureData System for Analytics by IBMSiriDB
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