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DBMS > Databricks vs. ObjectBox vs. Sequoiadb vs. SWC-DB

System Properties Comparison Databricks vs. ObjectBox vs. Sequoiadb vs. SWC-DB

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Editorial information provided by DB-Engines
NameDatabricks  Xexclude from comparisonObjectBox  Xexclude from comparisonSequoiadb  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.Extremely fast embedded database for small devices, IoT and MobileNewSQL database with distributed OLTP and SQLA high performance, scalable Wide Column DBMS
Primary database modelDocument store
Relational DBMS
Object oriented DBMSDocument store
Relational DBMS
Wide column store
Secondary database modelsTime Series DBMSTime 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
Score1.29
Rank#166  Overall
#5  Object oriented DBMS
Score0.50
Rank#258  Overall
#41  Document stores
#120  Relational DBMS
Score0.08
Rank#364  Overall
#13  Wide column stores
Websitewww.databricks.comobjectbox.iowww.sequoiadb.comgithub.com/­kashirin-alex/­swc-db
www.swcdb.org
Technical documentationdocs.databricks.comdocs.objectbox.iowww.sequoiadb.com/­en/­index.php?m=Files&a=index
DeveloperDatabricksObjectBox LimitedSequoiadb Ltd.Alex Kashirin
Initial release2013201720132020
Current release0.5, April 2021
License infoCommercial or Open SourcecommercialOpen Source infoApache License 2.0Open Source infoServer: AGPL; Client: Apache V2Open 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 and C++C++C++
Server operating systemshostedAndroid
iOS
Linux
macOS
Windows
LinuxLinux
Data schemeFlexible Schema (defined schema, partial schema, schema free)yesschema-freeschema-free
Typing infopredefined data types such as float or dateyesyes infooid, date, timestamp, binary, regex
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 indexesyesyesyes
SQL infoSupport of SQLwith Databricks SQLnoSQL-like query languageSQL-like query language
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
Proprietary native APIproprietary protocol using JSONProprietary protocol
Thrift
Supported programming languagesPython
R
Scala
C
C++
Dart
Go
Java
JavaScript infoplanned (as of Jan 2019)
Kotlin
Python infoplanned (as of Jan 2019)
Swift
.Net
C++
Java
PHP
Python
C++
Server-side scripts infoStored proceduresuser defined functions and aggregatesnoJavaScriptno
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodesnoneShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesonline/offline synchronization between client and serverSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDDocument is locked during a transaction
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
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.nononono
User concepts infoAccess controlyessimple password-based access control
More information provided by the system vendor
DatabricksObjectBoxSequoiadbSWC-DB infoSuper Wide Column Database
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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