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DBMS > Databricks vs. IBM Cloudant vs. Kinetica vs. SiteWhere

System Properties Comparison Databricks vs. IBM Cloudant vs. Kinetica vs. SiteWhere

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Editorial information provided by DB-Engines
NameDatabricks  Xexclude from comparisonIBM Cloudant  Xexclude from comparisonKinetica  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 CouchDBFully vectorized database across both GPUs and CPUsM2M integration platform for persisting/querying time series data
Primary database modelDocument store
Relational DBMS
Document storeRelational DBMSTime Series DBMS
Secondary database modelsSpatial DBMS
Time 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
Score0.64
Rank#236  Overall
#109  Relational DBMS
Score0.06
Rank#356  Overall
#35  Time Series DBMS
Websitewww.databricks.comwww.ibm.com/­products/­cloudantwww.kinetica.comgithub.com/­sitewhere/­sitewhere
Technical documentationdocs.databricks.comcloud.ibm.com/­docs/­Cloudantdocs.kinetica.comsitewhere1.sitewhere.io/­index.html
DeveloperDatabricksIBM, Apache Software Foundation infoIBM acquired Cloudant in February 2014KineticaSiteWhere
Initial release2013201020122010
Current release7.1, August 2021
License infoCommercial or Open SourcecommercialcommercialcommercialOpen Source infoCommon Public Attribution License Version 1.0
Cloud-based only infoOnly available as a cloud serviceyesyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageErlangC, C++Java
Server operating systemshostedhostedLinuxLinux
OS X
Windows
Data schemeFlexible Schema (defined schema, partial schema, schema free)schema-freeyespredefined scheme
Typing infopredefined data types such as float or datenoyesyes
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 indexesyesyesyesno
SQL infoSupport of SQLwith Databricks SQLnoSQL-like DML and DDL statementsno
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
RESTful HTTP/JSON APIJDBC
ODBC
RESTful HTTP API
HTTP REST
Supported programming languagesPython
R
Scala
C#
Java
JavaScript
Objective-C
PHP
Ruby
C++
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresuser defined functions and aggregatesView functions (Map-Reduce) in JavaScriptuser defined functions
Triggersyesyes infotriggers when inserted values for one or more columns fall within a specified range
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding infobased on HBase
Replication methods infoMethods for redundantly storing data on multiple nodesyesMulti-source replication
Source-replica replication
Source-replica replicationselectable replication factor infobased on HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistency
Foreign keys infoReferential integritynoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDno infoatomic operations within a document possiblenono
Concurrency infoSupport for concurrent manipulation of datayesyes infoOptimistic lockingyesyes
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.nonoyes infoGPU vRAM or System RAMno
User concepts infoAccess controlAccess rights for users can be defined per databaseAccess rights for users and roles on table levelUsers with fine-grained authorization concept
More information provided by the system vendor
DatabricksIBM CloudantKineticaSiteWhere
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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DatabricksIBM CloudantKineticaSiteWhere
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