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DBMS > Apache Derby vs. Coveo vs. Databricks

System Properties Comparison Apache Derby vs. Coveo 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 comparisonCoveo  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.AI-powered hosted search, recommendation and personalization platform providing tools for both low-code and full-code developmentThe 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 DBMSSearch engineDocument store
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.04
Rank#85  Overall
#46  Relational DBMS
Score2.30
Rank#104  Overall
#11  Search engines
Score102.66
Rank#12  Overall
#2  Document stores
#8  Relational DBMS
Websitedb.apache.org/­derbywww.coveo.comwww.databricks.com
Technical documentationdb.apache.org/­derby/­manuals/­index.htmldocs.coveo.comdocs.databricks.com
DeveloperApache Software FoundationCoveoDatabricks
Initial release199720122013
Current release10.17.1.0, November 2023
License infoCommercial or Open SourceOpen Source infoApache version 2commercialcommercial
Cloud-based only infoOnly available as a cloud servicenoyesyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava
Server operating systemsAll OS with a Java VMhostedhosted
Data schemeyeshybrid - fields need to be configured prior to indexing, but relationships can be exploited at query time without pre-configurationFlexible Schema (defined schema, partial schema, schema free)
Typing infopredefined data types such as float or dateyesyes
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.yesnoyes
Secondary indexesyesyesyes
SQL infoSupport of SQLyesnowith Databricks SQL
APIs and other access methodsJDBCRESTful HTTP APIJDBC
ODBC
RESTful HTTP API
Supported programming languagesJavaC#
Java
JavaScript
Python
Python
R
Scala
Server-side scripts infoStored proceduresJava Stored Proceduresnouser defined functions and aggregates
Triggersyesyes
Partitioning methods infoMethods for storing different data on different nodesnoneyes
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationyesyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDyesACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
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-standardgranular access controls, API key management, content filters

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