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DBMS > Databricks vs. Realm vs. STSdb vs. SWC-DB

System Properties Comparison Databricks vs. Realm vs. STSdb vs. SWC-DB

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Editorial information provided by DB-Engines
NameDatabricks  Xexclude from comparisonRealm  Xexclude from comparisonSTSdb  Xexclude from comparisonSWC-DB infoSuper Wide Column Database  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.A DBMS built for use on mobile devices that’s a fast, easy to use alternative to SQLite and Core DataKey-Value Store with special method for indexing infooptimized for high performance using a special indexing methodA high performance, scalable Wide Column DBMS
Primary database modelDocument store
Relational DBMS
Document storeKey-value storeWide column store
Secondary database modelsTime 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
Score7.41
Rank#52  Overall
#8  Document stores
Score0.10
Rank#357  Overall
#51  Key-value stores
Score0.08
Rank#364  Overall
#13  Wide column stores
Websitewww.databricks.comrealm.iogithub.com/­STSSoft/­STSdb4github.com/­kashirin-alex/­swc-db
www.swcdb.org
Technical documentationdocs.databricks.comrealm.io/­docs
DeveloperDatabricksRealm, acquired by MongoDB in May 2019STS Soft SCAlex Kashirin
Initial release2013201420112020
Current release4.0.8, September 20150.5, April 2021
License infoCommercial or Open SourcecommercialOpen SourceOpen Source infoGPLv2, commercial license availableOpen Source infoGPL V3
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC#C++
Server operating systemshostedAndroid
Backend: server-less
iOS
Windows
WindowsLinux
Data schemeFlexible Schema (defined schema, partial schema, schema free)yesyesschema-free
Typing infopredefined data types such as float or dateyesyes infoprimitive types and user defined types (classes)
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 SQLnonoSQL-like query language
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
.NET Client APIProprietary protocol
Thrift
Supported programming languagesPython
R
Scala
.Net
Java infowith Android only
Objective-C
React Native
Swift
C#
Java
C++
Server-side scripts infoStored proceduresuser defined functions and aggregatesno inforuns within the applications so server-side scripts are unnecessarynono
Triggersyes infoChange Listenersnono
Partitioning methods infoMethods for storing different data on different nodesnonenoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesnonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyes
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.noyes infoIn-Memory realmno
User concepts infoAccess controlyesno
More information provided by the system vendor
DatabricksRealmSTSdbSWC-DB infoSuper Wide Column Database
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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DatabricksRealmSTSdbSWC-DB infoSuper Wide Column Database
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