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DBMS > Databricks vs. Microsoft Azure AI Search vs. PlanetScale vs. Quasardb vs. SiteWhere

System Properties Comparison Databricks vs. Microsoft Azure AI Search vs. PlanetScale vs. Quasardb vs. SiteWhere

Editorial information provided by DB-Engines
NameDatabricks  Xexclude from comparisonMicrosoft Azure AI Search  Xexclude from comparisonPlanetScale  Xexclude from comparisonQuasardb  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.Search-as-a-service for web and mobile app developmentScalable, distributed, serverless MySQL database platform built on top of VitessDistributed, high-performance timeseries databaseM2M integration platform for persisting/querying time series data
Primary database modelDocument store
Relational DBMS
Search engineRelational DBMSTime Series DBMSTime Series DBMS
Secondary database modelsVector DBMSDocument store
Spatial 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
Score5.59
Rank#63  Overall
#7  Search engines
Score1.59
Rank#151  Overall
#70  Relational DBMS
Score0.14
Rank#332  Overall
#29  Time Series DBMS
Score0.06
Rank#356  Overall
#35  Time Series DBMS
Websitewww.databricks.comazure.microsoft.com/­en-us/­services/­searchplanetscale.comquasar.aigithub.com/­sitewhere/­sitewhere
Technical documentationdocs.databricks.comlearn.microsoft.com/­en-us/­azure/­searchplanetscale.com/­docsdoc.quasar.ai/­mastersitewhere1.sitewhere.io/­index.html
DeveloperDatabricksMicrosoftPlanetScalequasardbSiteWhere
Initial release20132015202020092010
Current releaseV13.14.1, January 2024
License infoCommercial or Open Sourcecommercialcommercialcommercialcommercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licensesOpen Source infoCommon Public Attribution License Version 1.0
Cloud-based only infoOnly available as a cloud serviceyesyesyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoC++Java
Server operating systemshostedhostedDocker
Linux
macOS
BSD
Linux
OS X
Windows
Linux
OS X
Windows
Data schemeFlexible Schema (defined schema, partial schema, schema free)yesyesschema-freepredefined scheme
Typing infopredefined data types such as float or dateyesyesyes infointeger and binaryyes
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 indexesyesyesyesyes infowith tagsno
SQL infoSupport of SQLwith Databricks SQLnoyes infowith proprietary extensionsSQL-like query languageno
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
RESTful HTTP APIADO.NET
JDBC
MySQL protocol
ODBC
HTTP APIHTTP REST
Supported programming languagesPython
R
Scala
C#
Java
JavaScript
Python
Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
Server-side scripts infoStored proceduresuser defined functions and aggregatesnoyes infoproprietary syntaxno
Triggersnoyesno
Partitioning methods infoMethods for storing different data on different nodesSharding infoImplicit feature of the cloud serviceShardingSharding infoconsistent hashingSharding infobased on HBase
Replication methods infoMethods for redundantly storing data on multiple nodesyesyes infoImplicit feature of the cloud serviceMulti-source replication
Source-replica replication
Source-replica replication with selectable replication factorselectable replication factor infobased on HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonowith Hadoop integrationno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency across shards
Immediate Consistency within a shard
Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyes infonot for MyISAM storage enginenono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACID at shard levelACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyes infotable locks or row locks depending on storage engineyesyes
Durability infoSupport for making data persistentyesyesyesyes infoby using LevelDByes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyesyes infoTransient modeno
User concepts infoAccess controlyes infousing Azure authenticationUsers with fine-grained authorization concept infono user groups or rolesCryptographically strong user authentication and audit trailUsers with fine-grained authorization concept
More information provided by the system vendor
DatabricksMicrosoft Azure AI SearchPlanetScaleQuasardbSiteWhere
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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DatabricksMicrosoft Azure AI SearchPlanetScaleQuasardbSiteWhere
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