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DBMS > Amazon CloudSearch vs. FoundationDB vs. Hawkular Metrics vs. MonetDB vs. Teradata

System Properties Comparison Amazon CloudSearch vs. FoundationDB vs. Hawkular Metrics vs. MonetDB vs. Teradata

Editorial information provided by DB-Engines
NameAmazon CloudSearch  Xexclude from comparisonFoundationDB  Xexclude from comparisonHawkular Metrics  Xexclude from comparisonMonetDB  Xexclude from comparisonTeradata  Xexclude from comparison
Created as commercial project in 2013, FoundationDB has been acquired by Apple in March 2015 and was withdrawn from the market. As a consequence, the product was removed from the DB-Engines ranking. In April 2018, Apple open-sourced FoundationDB and it therefore reappears in the ranking.
DescriptionA hosted search engine service by Amazon with the data stored in Amazons cloudOrdered key-value store. Core features are complimented by layers.Hawkular metrics is the metric storage of the Red Hat sponsored Hawkular monitoring system. It is based on Cassandra.A relational database management system that stores data in columnsA hybrid cloud data analytics software platform (Teradata Vantage)
Primary database modelSearch engineDocument store infosupported via specific layer
Key-value store
Relational DBMS infosupported via specific SQL-layer
Time Series DBMSRelational DBMSRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
Document store
Graph DBMS
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.85
Rank#137  Overall
#12  Search engines
Score1.03
Rank#190  Overall
#31  Document stores
#28  Key-value stores
#89  Relational DBMS
Score0.00
Rank#379  Overall
#40  Time Series DBMS
Score1.72
Rank#145  Overall
#67  Relational DBMS
Score45.33
Rank#21  Overall
#15  Relational DBMS
Websiteaws.amazon.com/­cloudsearchgithub.com/­apple/­foundationdbwww.hawkular.orgwww.monetdb.orgwww.teradata.com
Technical documentationdocs.aws.amazon.com/­cloudsearchapple.github.io/­foundationdbwww.hawkular.org/­hawkular-metrics/­docs/­user-guidewww.monetdb.org/­Documentationdocs.teradata.com
DeveloperAmazonFoundationDBCommunity supported by Red HatMonetDB BVTeradata
Initial release20122013201420041984
Current release6.2.28, November 2020Dec2023 (11.49), December 2023Teradata Vantage 1.0 MU2, January 2019
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0Open Source infoApache 2.0Open Source infoMozilla Public License 2.0commercial
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++JavaC
Server operating systemshostedLinux
OS X
Windows
Linux
OS X
Windows
FreeBSD
Linux
OS X
Solaris
Windows
hosted
Linux
Data schemeyesschema-free infosome layers support schemasschema-freeyesyes
Typing infopredefined data types such as float or dateyesno infosome layers support typingyesyesyes
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.noyes
Secondary indexesyes infoall search fields are automatically indexednonoyesyes infoJoin-index to prejoin tables, aggregate index, sparse index, hash index
SQL infoSupport of SQLnosupported in specific SQL layer onlynoyes infoSQL 2003 with some extensionsyes infoSQL 2016 + extensions
APIs and other access methodsHTTP APIHTTP RESTJDBC
native C library infoMAPI library (MonetDB application programming interface)
ODBC
.NET Client API
HTTP REST
JDBC
JMS Adapter
ODBC
OLE DB
Supported programming languages.Net
C
C++
Go
Java
JavaScript infoNode.js
PHP
Python
Ruby
Swift
Go
Java
Python
Ruby
C
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
C
C++
Cobol
Java (JDBC-ODBC)
Perl
PL/1
Python
R
Ruby
Server-side scripts infoStored proceduresnoin SQL-layer onlynoyes, in SQL, C, Ryes infoUDFs, stored procedures, table functions in parallel
Triggersnonoyes infovia Hawkular Alertingyesyes
Partitioning methods infoMethods for storing different data on different nodesyes infoautomatic partitioning across Amazon Search Instance as requiredShardingSharding infobased on CassandraSharding via remote tablesSharding infoHashing
Replication methods infoMethods for redundantly storing data on multiple nodesyes infomanaged transparently by AWSyesselectable replication factor infobased on Cassandranone infoSource-replica replication available in experimental statusMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemLinearizable consistencyEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate Consistency
Foreign keys infoReferential integritynoin SQL-layer onlynoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
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 signaturesnonofine grained access rights according to SQL-standardfine grained access rights according to SQL-standard

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More resources
Amazon CloudSearchFoundationDBHawkular MetricsMonetDBTeradata
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