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DBMS > Databricks vs. IBM Cloudant vs. Netezza vs. Snowflake vs. Warp 10

System Properties Comparison Databricks vs. IBM Cloudant vs. Netezza vs. Snowflake vs. Warp 10

Editorial information provided by DB-Engines
NameDatabricks  Xexclude from comparisonIBM Cloudant  Xexclude from comparisonNetezza infoAlso called PureData System for Analytics by IBM  Xexclude from comparisonSnowflake  Xexclude from comparisonWarp 10  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.Database as a Service offering based on Apache CouchDBData warehouse and analytics appliance part of IBM PureSystemsCloud-based data warehousing service for structured and semi-structured dataTimeSeries DBMS specialized on timestamped geo data based on LevelDB or HBase
Primary database modelDocument store
Relational DBMS
Document storeRelational DBMSRelational 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
Score2.75
Rank#104  Overall
#19  Document stores
Score8.59
Rank#45  Overall
#29  Relational DBMS
Score130.36
Rank#8  Overall
#5  Relational DBMS
Score0.14
Rank#344  Overall
#32  Time Series DBMS
Websitewww.databricks.comwww.ibm.com/­products/­cloudantwww.ibm.com/­products/­netezzawww.snowflake.comwww.warp10.io
Technical documentationdocs.databricks.comcloud.ibm.com/­docs/­Cloudantdocs.snowflake.net/­manuals/­index.htmlwww.warp10.io/­content/­02_Getting_started
DeveloperDatabricksIBM, Apache Software Foundation infoIBM acquired Cloudant in February 2014IBMSnowflake Computing Inc.SenX
Initial release20132010200020142015
License infoCommercial or Open SourcecommercialcommercialcommercialcommercialOpen Source infoApache License 2.0
Cloud-based only infoOnly available as a cloud serviceyesyesnoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageErlangJava
Server operating systemshostedhostedLinux infoincluded in appliancehostedLinux
OS X
Windows
Data schemeFlexible Schema (defined schema, partial schema, schema free)schema-freeyesyes infosupport of semi-structured data formats (JSON, XML, Avro)schema-free
Typing infopredefined data types such as float or datenoyesyesyes
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.yesnoyesno
Secondary indexesyesyesyesno
SQL infoSupport of SQLwith Databricks SQLnoyesyesno
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
RESTful HTTP/JSON APIJDBC
ODBC
OLE DB
CLI Client
JDBC
ODBC
HTTP API
Jupyter
WebSocket
Supported programming languagesPython
R
Scala
C#
Java
JavaScript
Objective-C
PHP
Ruby
C
C++
Fortran
Java
Lua
Perl
Python
R
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresuser defined functions and aggregatesView functions (Map-Reduce) in JavaScriptyesuser defined functionsyes infoWarpScript
Triggersyesnono infosimilar concept for controling cloud resourcesno
Partitioning methods infoMethods for storing different data on different nodesShardingShardingyesSharding infobased on HBase
Replication methods infoMethods for redundantly storing data on multiple nodesyesMulti-source replication
Source-replica replication
Source-replica replicationyesselectable replication factor infobased on HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate ConsistencyImmediate Consistency infobased on HBase
Foreign keys infoReferential integritynonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDno infoatomic operations within a document possibleACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyes infoOptimistic lockingyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nononoyes
User concepts infoAccess controlAccess rights for users can be defined per databaseUsers with fine-grained authorization conceptUsers with fine-grained authorization concept, user roles and pluggable authenticationMandatory use of cryptographic tokens, containing fine-grained authorizations
More information provided by the system vendor
DatabricksIBM CloudantNetezza infoAlso called PureData System for Analytics by IBMSnowflakeWarp 10
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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More resources
DatabricksIBM CloudantNetezza infoAlso called PureData System for Analytics by IBMSnowflakeWarp 10
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