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DBMS > Databricks vs. GBase vs. Netezza vs. Newts

System Properties Comparison Databricks vs. GBase vs. Netezza vs. Newts

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Editorial information provided by DB-Engines
NameDatabricks  Xexclude from comparisonGBase  Xexclude from comparisonNetezza infoAlso called PureData System for Analytics by IBM  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.An analytical database for business intelligence with large customers in China.Data warehouse and analytics appliance part of IBM PureSystemsTime Series DBMS based on Cassandra
Primary database modelDocument store
Relational DBMS
Relational DBMSRelational DBMSTime Series 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
Score1.07
Rank#185  Overall
#86  Relational DBMS
Score9.06
Rank#46  Overall
#29  Relational DBMS
Score0.00
Rank#383  Overall
#41  Time Series DBMS
Websitewww.databricks.comwww.gbase.cnwww.ibm.com/­products/­netezzaopennms.github.io/­newts
Technical documentationdocs.databricks.comgithub.com/­OpenNMS/­newts/­wiki
DeveloperDatabricksIBMOpenNMS Group
Initial release201320002014
Current releaseGBase 8a
License infoCommercial or Open SourcecommercialcommercialcommercialOpen 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 languageJava
Server operating systemshostedLinux infoincluded in applianceLinux
OS X
Windows
Data schemeFlexible Schema (defined schema, partial schema, schema free)yesschema-free
Typing infopredefined data types such as float or dateyesyes
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
Secondary indexesyesyesno
SQL infoSupport of SQLwith Databricks SQLyesno
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
JDBC
ODBC
OLE DB
HTTP REST
Java API
Supported programming languagesPython
R
Scala
C
C++
Fortran
Java
Lua
Perl
Python
R
Java
Server-side scripts infoStored proceduresuser defined functions and aggregatesyesno
Triggersnono
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infobased on Cassandra
Replication methods infoMethods for redundantly storing data on multiple nodesyesSource-replica replicationselectable replication factor infobased on Cassandra
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Foreign keys infoReferential integritynono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyes
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.nono
User concepts infoAccess controlUsers with fine-grained authorization conceptno
More information provided by the system vendor
DatabricksGBaseNetezza infoAlso called PureData System for Analytics by IBMNewts
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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More resources
DatabricksGBaseNetezza infoAlso called PureData System for Analytics by IBMNewts
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