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DBMS > Amazon CloudSearch vs. Databricks vs. OpenQM

System Properties Comparison Amazon CloudSearch vs. Databricks vs. OpenQM

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Editorial information provided by DB-Engines
NameAmazon CloudSearch  Xexclude from comparisonDatabricks  Xexclude from comparisonOpenQM infoalso called QM  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.QpenQM is a high-performance, self-tuning, multi-value DBMS
Primary database modelSearch engineDocument store
Relational DBMS
Multivalue 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
Score0.34
Rank#284  Overall
#10  Multivalue DBMS
Websiteaws.amazon.com/­cloudsearchwww.databricks.comwww.rocketsoftware.com/­products/­rocket-multivalue-application-development-platform/­rocket-open-qm
Technical documentationdocs.aws.amazon.com/­cloudsearchdocs.databricks.com
DeveloperAmazonDatabricksRocket Software, originally Martin Phillips
Initial release201220131993
Current release3.4-12
License infoCommercial or Open SourcecommercialcommercialOpen Source infoGPLv2, extended commercial license available
Cloud-based only infoOnly available as a cloud serviceyesyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Server operating systemshostedhostedAIX
FreeBSD
Linux
macOS
Raspberry Pi
Solaris
Windows
Data schemeyesFlexible Schema (defined schema, partial schema, schema free)yes infowith some exceptions
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 indexesyes infoall search fields are automatically indexedyesyes
SQL infoSupport of SQLnowith Databricks SQLno
APIs and other access methodsHTTP APIJDBC
ODBC
RESTful HTTP API
Supported programming languagesPython
R
Scala
.Net
Basic
C
Java
Objective C
PHP
Python
Server-side scripts infoStored proceduresnouser defined functions and aggregatesyes
Triggersnoyes
Partitioning methods infoMethods for storing different data on different nodesyes infoautomatic partitioning across Amazon Search Instance as requiredyes
Replication methods infoMethods for redundantly storing data on multiple nodesyes infomanaged transparently by AWSyesyes
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 integritynono
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.no
User concepts infoAccess controlauthentication via encrypted signaturesAccess rights can be defined down to the item level
More information provided by the system vendor
Amazon CloudSearchDatabricksOpenQM infoalso called QM
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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More resources
Amazon CloudSearchDatabricksOpenQM infoalso called QM
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Recent citations in the news

Amazon CloudSearch – Start Searching in One Hour for Less Than $100 / Month | Amazon Web Services
12 April 2012, AWS Blog

Searching CloudTrail Logs Easily with Amazon CloudSearch | AWS Startups Blog
21 October 2014, AWS Blog

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2 June 2020, TechTarget

CloudSearch Update – Price Reduction, Hebrew & Japanese Support, Partitioning, CloudTrail | Amazon Web Services
19 November 2014, AWS Blog

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10 May 2016, All Things Distributed

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