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DBMS > Amazon CloudSearch vs. Databricks vs. Prometheus vs. TimesTen

System Properties Comparison Amazon CloudSearch vs. Databricks vs. Prometheus vs. TimesTen

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Editorial information provided by DB-Engines
NameAmazon CloudSearch  Xexclude from comparisonDatabricks  Xexclude from comparisonPrometheus  Xexclude from comparisonTimesTen  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.Open-source Time Series DBMS and monitoring systemIn-Memory RDBMS compatible to Oracle
Primary database modelSearch engineDocument store
Relational DBMS
Time Series DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.85
Rank#137  Overall
#12  Search engines
Score78.61
Rank#15  Overall
#2  Document stores
#10  Relational DBMS
Score8.42
Rank#47  Overall
#2  Time Series DBMS
Score1.31
Rank#163  Overall
#74  Relational DBMS
Websiteaws.amazon.com/­cloudsearchwww.databricks.comprometheus.iowww.oracle.com/­database/­technologies/­related/­timesten.html
Technical documentationdocs.aws.amazon.com/­cloudsearchdocs.databricks.comprometheus.io/­docsdocs.oracle.com/­database/­timesten-18.1
DeveloperAmazonDatabricksOracle, TimesTen Performance Software, HP infooriginally founded in HP Labs it was acquired by Oracle in 2005
Initial release2012201320151998
Current release11 Release 2 (11.2.2.8.0)
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache 2.0commercial
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 languageGo
Server operating systemshostedhostedLinux
Windows
AIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
Data schemeyesFlexible Schema (defined schema, partial schema, schema free)yesyes
Typing infopredefined data types such as float or dateyesNumeric data onlyyes
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.yesno infoImport of XML data possibleno
Secondary indexesyes infoall search fields are automatically indexedyesnoyes
SQL infoSupport of SQLnowith Databricks SQLnoyes
APIs and other access methodsHTTP APIJDBC
ODBC
RESTful HTTP API
RESTful HTTP/JSON APIJDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
Supported programming languagesPython
R
Scala
.Net
C++
Go
Haskell
Java
JavaScript (Node.js)
Python
Ruby
C
C++
Java
PL/SQL
Server-side scripts infoStored proceduresnouser defined functions and aggregatesnoPL/SQL
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodesyes infoautomatic partitioning across Amazon Search Instance as requiredShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesyes infomanaged transparently by AWSyesyes infoby FederationMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencynoneImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integritynonoyes
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 means of logfiles and checkpoints
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 signaturesnofine grained access rights according to SQL-standard
More information provided by the system vendor
Amazon CloudSearchDatabricksPrometheusTimesTen
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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More resources
Amazon CloudSearchDatabricksPrometheusTimesTen
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