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DBMS > Amazon CloudSearch vs. Databricks vs. Kdb vs. Quasardb

System Properties Comparison Amazon CloudSearch vs. Databricks vs. Kdb vs. Quasardb

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Editorial information provided by DB-Engines
NameAmazon CloudSearch  Xexclude from comparisonDatabricks  Xexclude from comparisonKdb  Xexclude from comparisonQuasardb  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.High performance Time Series DBMSDistributed, high-performance timeseries database
Primary database modelSearch engineDocument store
Relational DBMS
Time Series DBMS
Vector DBMS
Time Series DBMS
Secondary database modelsRelational 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
Score7.71
Rank#49  Overall
#2  Time Series DBMS
#1  Vector DBMS
Score0.21
Rank#322  Overall
#29  Time Series DBMS
Websiteaws.amazon.com/­cloudsearchwww.databricks.comkx.comquasar.ai
Technical documentationdocs.aws.amazon.com/­cloudsearchdocs.databricks.comcode.kx.comdoc.quasar.ai/­master
DeveloperAmazonDatabricksKx Systems, a division of First Derivatives plcquasardb
Initial release201220132000 infokdb was released 2000, kdb+ in 20032009
Current release3.6, May 20183.14.1, January 2024
License infoCommercial or Open Sourcecommercialcommercialcommercial infofree 32-bit versioncommercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licenses
Cloud-based only infoOnly available as a cloud serviceyesyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageqC++
Server operating systemshostedhostedLinux
OS X
Solaris
Windows
BSD
Linux
OS X
Windows
Data schemeyesFlexible Schema (defined schema, partial schema, schema free)yesschema-free
Typing infopredefined data types such as float or dateyesyesyes infointeger and binary
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.yesyesno
Secondary indexesyes infoall search fields are automatically indexedyesyes infotable attribute 'grouped'yes infowith tags
SQL infoSupport of SQLnowith Databricks SQLSQL-like query language (q)SQL-like query language
APIs and other access methodsHTTP APIJDBC
ODBC
RESTful HTTP API
HTTP API
JDBC
Jupyter
Kafka
ODBC
WebSocket
HTTP API
Supported programming languagesPython
R
Scala
C
C#
C++
Go
J
Java
JavaScript
Lua
MatLab
Perl
PHP
Python
R
Scala
.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
Server-side scripts infoStored proceduresnouser defined functions and aggregatesuser defined functionsno
Triggersnoyes infowith viewsno
Partitioning methods infoMethods for storing different data on different nodesyes infoautomatic partitioning across Amazon Search Instance as requiredhorizontal partitioningSharding infoconsistent hashing
Replication methods infoMethods for redundantly storing data on multiple nodesyes infomanaged transparently by AWSyesSource-replica replicationSource-replica replication with selectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono infosimilar paradigm used for internal processingwith Hadoop integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoby using LevelDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes infoTransient mode
User concepts infoAccess controlauthentication via encrypted signaturesrights management via user accountsCryptographically strong user authentication and audit trail
More information provided by the system vendor
Amazon CloudSearchDatabricksKdbQuasardb
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
» more
Integrated columnar database & programming system for streaming, real time and historical...
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Competitive advantagesprovides seamless scalability; runs on industry standard server platforms; is top-ranked...
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Typical application scenariostick database streaming sensor data massive intelligence applications oil and gas...
» more
Key customersGoldman Sachs Morgan Stanley Merrill Lynch J.P. Morgan Deutsche Bank IEX Securities...
» more
Market metricskdb+ performance and reliability proven by our customers in critical infrastructure...
» more
Licensing and pricing modelsupon request
» more

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More resources
Amazon CloudSearchDatabricksKdbQuasardb
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