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DBMS > Databricks vs. IBM Cloudant vs. SiteWhere

System Properties Comparison Databricks vs. IBM Cloudant vs. SiteWhere

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Editorial information provided by DB-Engines
NameDatabricks  Xexclude from comparisonIBM Cloudant  Xexclude from comparisonSiteWhere  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 CouchDBM2M integration platform for persisting/querying time series data
Primary database modelDocument store
Relational DBMS
Document storeTime 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
Score2.68
Rank#106  Overall
#20  Document stores
Score0.06
Rank#356  Overall
#35  Time Series DBMS
Websitewww.databricks.comwww.ibm.com/­products/­cloudantgithub.com/­sitewhere/­sitewhere
Technical documentationdocs.databricks.comcloud.ibm.com/­docs/­Cloudantsitewhere1.sitewhere.io/­index.html
DeveloperDatabricksIBM, Apache Software Foundation infoIBM acquired Cloudant in February 2014SiteWhere
Initial release201320102010
License infoCommercial or Open SourcecommercialcommercialOpen Source infoCommon Public Attribution License Version 1.0
Cloud-based only infoOnly available as a cloud serviceyesyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageErlangJava
Server operating systemshostedhostedLinux
OS X
Windows
Data schemeFlexible Schema (defined schema, partial schema, schema free)schema-freepredefined scheme
Typing infopredefined data types such as float or datenoyes
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 indexesyesyesno
SQL infoSupport of SQLwith Databricks SQLnono
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
RESTful HTTP/JSON APIHTTP REST
Supported programming languagesPython
R
Scala
C#
Java
JavaScript
Objective-C
PHP
Ruby
Server-side scripts infoStored proceduresuser defined functions and aggregatesView functions (Map-Reduce) in JavaScript
Triggersyes
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infobased on HBase
Replication methods infoMethods for redundantly storing data on multiple nodesyesMulti-source replication
Source-replica replication
selectable replication factor infobased on HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDno infoatomic operations within a document possibleno
Concurrency infoSupport for concurrent manipulation of datayesyes infoOptimistic lockingyes
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.nonono
User concepts infoAccess controlAccess rights for users can be defined per databaseUsers with fine-grained authorization concept
More information provided by the system vendor
DatabricksIBM CloudantSiteWhere
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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DatabricksIBM CloudantSiteWhere
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