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DBMS > Databricks vs. Oracle Rdb vs. Sequoiadb vs. WakandaDB

System Properties Comparison Databricks vs. Oracle Rdb vs. Sequoiadb vs. WakandaDB

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Editorial information provided by DB-Engines
NameDatabricks  Xexclude from comparisonOracle Rdb  Xexclude from comparisonSequoiadb  Xexclude from comparisonWakandaDB  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.NewSQL database with distributed OLTP and SQLWakandaDB is embedded in a server that provides a REST API and a server-side javascript engine to access data
Primary database modelDocument store
Relational DBMS
Relational DBMSDocument store
Relational DBMS
Object oriented 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
Score1.08
Rank#184  Overall
#85  Relational DBMS
Score0.45
Rank#261  Overall
#41  Document stores
#122  Relational DBMS
Score0.03
Rank#364  Overall
#17  Object oriented DBMS
Websitewww.databricks.comwww.oracle.com/­database/­technologies/­related/­rdb.htmlwww.sequoiadb.comwakanda.github.io
Technical documentationdocs.databricks.comwww.oracle.com/­database/­technologies/­related/­rdb-doc.htmlwww.sequoiadb.com/­en/­index.php?m=Files&a=indexwakanda.github.io/­doc
DeveloperDatabricksOracle, originally developed by Digital Equipment Corporation (DEC)Sequoiadb Ltd.Wakanda SAS
Initial release2013198420132012
Current release7.4.1.1, 20212.7.0 (April 29, 2019), April 2019
License infoCommercial or Open SourcecommercialcommercialOpen Source infoServer: AGPL; Client: Apache V2Open Source infoAGPLv3, extended commercial license available
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++C++, JavaScript
Server operating systemshostedHP Open VMSLinuxLinux
OS X
Windows
Data schemeFlexible Schema (defined schema, partial schema, schema free)Flexible Schema (defined schema, partial schema, schema free)schema-freeyes
Typing infopredefined data types such as float or dateyesyes infooid, date, timestamp, binary, regexyes
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 SQLyesSQL-like query languageno
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
proprietary protocol using JSONRESTful HTTP API
Supported programming languagesPython
R
Scala
.Net
C++
Java
PHP
Python
JavaScript
Server-side scripts infoStored proceduresuser defined functions and aggregatesJavaScriptyes
Triggersnoyes
Partitioning methods infoMethods for storing different data on different nodesShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesyesSource-replica replicationnone
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 dataACIDyes, on a single nodeDocument is locked during a transactionACID
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 controlsimple password-based access controlyes
More information provided by the system vendor
DatabricksOracle RdbSequoiadbWakandaDB
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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DatabricksOracle RdbSequoiadbWakandaDB
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