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DBMS > Apache Derby vs. Databricks

System Properties Comparison Apache Derby vs. Databricks

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Editorial information provided by DB-Engines
NameApache Derby infooften called Apache Derby, originally IBM Cloudscape; contained in the Java SDK as JavaDB  Xexclude from comparisonDatabricks  Xexclude from comparison
DescriptionFull-featured RDBMS with a small footprint, either embedded into a Java application or used as a database server.The 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.
Primary database modelRelational DBMSDocument store
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.04
Rank#85  Overall
#46  Relational DBMS
Score102.66
Rank#12  Overall
#2  Document stores
#8  Relational DBMS
Websitedb.apache.org/­derbywww.databricks.com
Technical documentationdb.apache.org/­derby/­manuals/­index.htmldocs.databricks.com
DeveloperApache Software FoundationDatabricks
Initial release19972013
Current release10.17.1.0, November 2023
License infoCommercial or Open SourceOpen Source infoApache version 2commercial
Cloud-based only infoOnly available as a cloud servicenoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava
Server operating systemsAll OS with a Java VMhosted
Data schemeyesFlexible Schema (defined schema, partial schema, schema free)
Typing infopredefined data types such as float or dateyes
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.yesyes
Secondary indexesyesyes
SQL infoSupport of SQLyeswith Databricks SQL
APIs and other access methodsJDBCJDBC
ODBC
RESTful HTTP API
Supported programming languagesJavaPython
R
Scala
Server-side scripts infoStored proceduresJava Stored Proceduresuser defined functions and aggregates
Triggersyes
Partitioning methods infoMethods for storing different data on different nodesnone
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesno
User concepts infoAccess controlfine grained access rights according to SQL-standard

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More resources
Apache Derby infooften called Apache Derby, originally IBM Cloudscape; contained in the Java SDK as JavaDBDatabricks
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