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DBMS > Databricks vs. Fauna vs. Lovefield vs. Microsoft Azure AI Search vs. SiteWhere

System Properties Comparison Databricks vs. Fauna vs. Lovefield vs. Microsoft Azure AI Search vs. SiteWhere

Editorial information provided by DB-Engines
NameDatabricks  Xexclude from comparisonFauna infopreviously named FaunaDB  Xexclude from comparisonLovefield  Xexclude from comparisonMicrosoft Azure AI Search  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.Fauna provides a web-native interface, with support for GraphQL and custom business logic that integrates seamlessly with the rest of the serverless ecosystem. The underlying globally distributed storage and compute platform is fast, consistent, and reliable, with a modern security infrastructure.Embeddable relational database for web apps written in pure JavaScriptSearch-as-a-service for web and mobile app developmentM2M integration platform for persisting/querying time series data
Primary database modelDocument store
Relational DBMS
Document store
Graph DBMS
Relational DBMS
Time Series DBMS
Relational DBMSSearch engineTime Series DBMS
Secondary database modelsVector 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
Score1.52
Rank#153  Overall
#26  Document stores
#14  Graph DBMS
#71  Relational DBMS
#13  Time Series DBMS
Score0.29
Rank#293  Overall
#133  Relational DBMS
Score5.59
Rank#63  Overall
#7  Search engines
Score0.06
Rank#356  Overall
#35  Time Series DBMS
Websitewww.databricks.comfauna.comgoogle.github.io/­lovefieldazure.microsoft.com/­en-us/­services/­searchgithub.com/­sitewhere/­sitewhere
Technical documentationdocs.databricks.comdocs.fauna.comgithub.com/­google/­lovefield/­blob/­master/­docs/­spec_index.mdlearn.microsoft.com/­en-us/­azure/­searchsitewhere1.sitewhere.io/­index.html
DeveloperDatabricksFauna, Inc.GoogleMicrosoftSiteWhere
Initial release20132014201420152010
Current release2.1.12, February 2017V1
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache 2.0commercialOpen Source infoCommon Public Attribution License Version 1.0
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 languageScalaJavaScriptJava
Server operating systemshostedhostedserver-less, requires a JavaScript environment (browser, Node.js) infotested with Chrome, Firefox, IE, SafarihostedLinux
OS X
Windows
Data schemeFlexible Schema (defined schema, partial schema, schema free)schema-freeyesyespredefined scheme
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.yesnononono
Secondary indexesyesyesyesyesno
SQL infoSupport of SQLwith Databricks SQLnoSQL-like query language infovia JavaScript builder patternnono
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
RESTful HTTP APIRESTful HTTP APIHTTP REST
Supported programming languagesPython
R
Scala
C#
Go
Java
JavaScript
Python
Ruby
Scala
Swift
JavaScriptC#
Java
JavaScript
Python
Server-side scripts infoStored proceduresuser defined functions and aggregatesuser defined functionsnono
TriggersnoUsing read-only observersno
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning infoconsistent hashingnoneSharding infoImplicit feature of the cloud serviceSharding infobased on HBase
Replication methods infoMethods for redundantly storing data on multiple nodesyesMulti-source replicationnoneyes infoImplicit feature of the cloud serviceselectable replication factor infobased on HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyes, by using IndexedDB or the cloud service Firebase Realtime Databaseyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes infousing MemoryDBnono
User concepts infoAccess controlIdentity management, authentication, and access controlnoyes infousing Azure authenticationUsers with fine-grained authorization concept
More information provided by the system vendor
DatabricksFauna infopreviously named FaunaDBLovefieldMicrosoft Azure AI SearchSiteWhere
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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More resources
DatabricksFauna infopreviously named FaunaDBLovefieldMicrosoft Azure AI SearchSiteWhere
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