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DBMS > Amazon CloudSearch vs. Firebird vs. MySQL vs. TimescaleDB

System Properties Comparison Amazon CloudSearch vs. Firebird vs. MySQL vs. TimescaleDB

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Editorial information provided by DB-Engines
NameAmazon CloudSearch  Xexclude from comparisonFirebird  Xexclude from comparisonMySQL  Xexclude from comparisonTimescaleDB  Xexclude from comparison
DescriptionA hosted search engine service by Amazon with the data stored in Amazons cloudFirebird is an open source RDBMS forked from Borland's InterBaseWidely used open source RDBMSA time series DBMS optimized for fast ingest and complex queries, based on PostgreSQL
Primary database modelSearch engineRelational DBMSRelational DBMS infoKey/Value like access via memcached APITime Series DBMS
Secondary database modelsDocument store
Spatial DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.87
Rank#140  Overall
#12  Search engines
Score21.06
Rank#31  Overall
#19  Relational DBMS
Score1087.72
Rank#2  Overall
#2  Relational DBMS
Score4.87
Rank#74  Overall
#4  Time Series DBMS
Websiteaws.amazon.com/­cloudsearchwww.firebirdsql.orgwww.mysql.comwww.timescale.com
Technical documentationdocs.aws.amazon.com/­cloudsearchwww.firebirdsql.org/­en/­reference-manualsdev.mysql.com/­docdocs.timescale.com
DeveloperAmazonFirebird FoundationOracle infosince 2010, originally MySQL AB, then SunTimescale
Initial release20122000 infoAs fork of Borland's InterBase19952017
Current release5.0.0, January 20248.3.0, January 20242.13.0, November 2023
License infoCommercial or Open SourcecommercialOpen Source infoInitial Developer's Public LicenseOpen Source infoGPL version 2. Commercial licenses with extended functionallity are availableOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Aiven for MySQL: Fully managed MySQL, deployable in the cloud of your choice, with seamless integrations and lightning-fast setup.
Implementation languageC and C++C and C++C
Server operating systemshostedAIX
FreeBSD
HP-UX
Linux
OS X
server-less infoFirebird Embedded Server
Solaris
Unix
Windows
FreeBSD
Linux
OS X
Solaris
Windows
Linux
OS X
Windows
Data schemeyesyesyesyes
Typing infopredefined data types such as float or dateyesyesyesnumerics, strings, booleans, arrays, JSON blobs, geospatial dimensions, currencies, binary data, other complex data types
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 indexedyesyesyes
SQL infoSupport of SQLnoyesyes infowith proprietary extensionsyes infofull PostgreSQL SQL syntax
APIs and other access methodsHTTP APIADO.NET
C/C++ API
JDBC infoJaybird
ODBC
OLE DB
ADO.NET
JDBC
ODBC
Proprietary native API
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Supported programming languagesC
C#
C++
Delphi
Java
JavaScript infoNode.js
Lua
Perl
PHP
Python
Ruby
Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
.Net
C
C++
Delphi
Java infoJDBC
JavaScript
Perl
PHP
Python
R
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresnoPSQLyes infoproprietary syntaxuser defined functions, PL/pgSQL, PL/Tcl, PL/Perl, PL/Python, PL/Java, PL/PHP, PL/R, PL/Ruby, PL/Scheme, PL/Unix shell
Triggersnoyesyesyes
Partitioning methods infoMethods for storing different data on different nodesyes infoautomatic partitioning across Amazon Search Instance as requirednonehorizontal partitioning, sharding with MySQL Cluster or MySQL Fabricyes, across time and space (hash partitioning) attributes
Replication methods infoMethods for redundantly storing data on multiple nodesyes infomanaged transparently by AWSSource-replica replicationMulti-source replication
Source-replica replication
Source-replica replication with hot standby and reads on replicas info
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesyes infonot for MyISAM storage engineyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACID infonot for MyISAM storage engineACID
Concurrency infoSupport for concurrent manipulation of datayesyes infoFeatures a multi-generational MVCC architecture, readers do not block writersyes infotable locks or row locks depending on storage engineyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesno
User concepts infoAccess controlauthentication via encrypted signaturesUsers with fine-grained authorization conceptUsers with fine-grained authorization concept infono user groups or rolesfine grained access rights according to SQL-standard

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Amazon CloudSearchFirebirdMySQLTimescaleDB
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