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DBMS > Amazon CloudSearch vs. Cachelot.io vs. Databricks vs. Oracle Berkeley DB

System Properties Comparison Amazon CloudSearch vs. Cachelot.io vs. Databricks vs. Oracle Berkeley DB

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Editorial information provided by DB-Engines
NameAmazon CloudSearch  Xexclude from comparisonCachelot.io  Xexclude from comparisonDatabricks  Xexclude from comparisonOracle Berkeley DB  Xexclude from comparison
DescriptionA hosted search engine service by Amazon with the data stored in Amazons cloudIn-memory caching systemThe 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.Widely used in-process key-value store
Primary database modelSearch engineKey-value storeDocument store
Relational DBMS
Key-value store infosupports sorted and unsorted key sets
Native XML DBMS infoin the Oracle Berkeley DB XML version
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.85
Rank#137  Overall
#12  Search engines
Score0.00
Rank#383  Overall
#60  Key-value stores
Score78.61
Rank#15  Overall
#2  Document stores
#10  Relational DBMS
Score2.21
Rank#117  Overall
#20  Key-value stores
#3  Native XML DBMS
Websiteaws.amazon.com/­cloudsearchcachelot.iowww.databricks.comwww.oracle.com/­database/­technologies/­related/­berkeleydb.html
Technical documentationdocs.aws.amazon.com/­cloudsearchdocs.databricks.comdocs.oracle.com/­cd/­E17076_05/­html/­index.html
DeveloperAmazonDatabricksOracle infooriginally developed by Sleepycat, which was acquired by Oracle
Initial release2012201520131994
Current release18.1.40, May 2020
License infoCommercial or Open SourcecommercialOpen Source infoSimplified BSD LicensecommercialOpen Source infocommercial license available
Cloud-based only infoOnly available as a cloud serviceyesnoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++C, Java, C++ (depending on the Berkeley DB edition)
Server operating systemshostedFreeBSD
Linux
OS X
hostedAIX
Android
FreeBSD
iOS
Linux
OS X
Solaris
VxWorks
Windows
Data schemeyesschema-freeFlexible Schema (defined schema, partial schema, schema free)schema-free
Typing infopredefined data types such as float or dateyesnono
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.noyesyes infoonly with the Berkeley DB XML edition
Secondary indexesyes infoall search fields are automatically indexednoyesyes
SQL infoSupport of SQLnonowith Databricks SQLyes infoSQL interfaced based on SQLite is available
APIs and other access methodsHTTP APIMemcached protocolJDBC
ODBC
RESTful HTTP API
Supported programming languages.Net
C
C++
ColdFusion
Erlang
Java
Lisp
Lua
OCaml
OCaml
Perl
PHP
Python
Ruby
Python
R
Scala
.Net infoFigaro is a .Net framework assembly that extends Berkeley DB XML into an embeddable database engine for .NET
others infoThird-party libraries to manipulate Berkeley DB files are available for many languages
C
C#
C++
Java
JavaScript (Node.js) info3rd party binding
Perl
Python
Tcl
Server-side scripts infoStored proceduresnonouser defined functions and aggregatesno
Triggersnonoyes infoonly for the SQL API
Partitioning methods infoMethods for storing different data on different nodesyes infoautomatic partitioning across Amazon Search Instance as requirednonenone
Replication methods infoMethods for redundantly storing data on multiple nodesyes infomanaged transparently by AWSnoneyesSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate Consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesnoyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes
User concepts infoAccess controlauthentication via encrypted signaturesnono
More information provided by the system vendor
Amazon CloudSearchCachelot.ioDatabricksOracle Berkeley DB
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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More resources
Amazon CloudSearchCachelot.ioDatabricksOracle Berkeley DB
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