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DBMS > Amazon CloudSearch vs. Databricks vs. Derby

System Properties Comparison Amazon CloudSearch vs. Databricks vs. Derby

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Editorial information provided by DB-Engines
NameAmazon CloudSearch  Xexclude from comparisonDatabricks  Xexclude from comparisonDerby infooften called Apache Derby, originally IBM Cloudscape; contained in the Java SDK as JavaDB  Xexclude from comparison
DescriptionA hosted search engine service by Amazon with the data stored in Amazons cloudThe 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.Full-featured RDBMS with a small footprint, either embedded into a Java application or used as a database server.
Primary database modelSearch engineDocument store
Relational DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.81
Rank#137  Overall
#12  Search engines
Score81.08
Rank#15  Overall
#2  Document stores
#10  Relational DBMS
Score4.60
Rank#70  Overall
#38  Relational DBMS
Websiteaws.amazon.com/­cloudsearchwww.databricks.comdb.apache.org/­derby
Technical documentationdocs.aws.amazon.com/­cloudsearchdocs.databricks.comdb.apache.org/­derby/­manuals/­index.html
DeveloperAmazonDatabricksApache Software Foundation
Initial release201220131997
Current release10.17.1.0, November 2023
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache version 2
Cloud-based only infoOnly available as a cloud serviceyesyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava
Server operating systemshostedhostedAll OS with a Java VM
Data schemeyesFlexible Schema (defined schema, partial schema, schema free)yes
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.yesyes
Secondary indexesyes infoall search fields are automatically indexedyesyes
SQL infoSupport of SQLnowith Databricks SQLyes
APIs and other access methodsHTTP APIJDBC
ODBC
RESTful HTTP API
JDBC
Supported programming languagesPython
R
Scala
Java
Server-side scripts infoStored proceduresnouser defined functions and aggregatesJava Stored Procedures
Triggersnoyes
Partitioning methods infoMethods for storing different data on different nodesyes infoautomatic partitioning across Amazon Search Instance as requirednone
Replication methods infoMethods for redundantly storing data on multiple nodesyes infomanaged transparently by AWSyesSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACID
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.noyes
User concepts infoAccess controlauthentication via encrypted signaturesfine grained access rights according to SQL-standard
More information provided by the system vendor
Amazon CloudSearchDatabricksDerby infooften called Apache Derby, originally IBM Cloudscape; contained in the Java SDK as JavaDB
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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More resources
Amazon CloudSearchDatabricksDerby infooften called Apache Derby, originally IBM Cloudscape; contained in the Java SDK as JavaDB
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