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DBMS > Amazon CloudSearch vs. Firebird vs. Oracle Berkeley DB vs. SwayDB vs. TimescaleDB

System Properties Comparison Amazon CloudSearch vs. Firebird vs. Oracle Berkeley DB vs. SwayDB vs. TimescaleDB

Editorial information provided by DB-Engines
NameAmazon CloudSearch  Xexclude from comparisonFirebird  Xexclude from comparisonOracle Berkeley DB  Xexclude from comparisonSwayDB  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 in-process key-value storeAn embeddable, non-blocking, type-safe key-value store for single or multiple disks and in-memory storageA time series DBMS optimized for fast ingest and complex queries, based on PostgreSQL
Primary database modelSearch engineRelational DBMSKey-value store infosupports sorted and unsorted key sets
Native XML DBMS infoin the Oracle Berkeley DB XML version
Key-value storeTime 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
Score20.50
Rank#30  Overall
#18  Relational DBMS
Score2.01
Rank#126  Overall
#21  Key-value stores
#3  Native XML DBMS
Score0.04
Rank#387  Overall
#61  Key-value stores
Score4.46
Rank#71  Overall
#5  Time Series DBMS
Websiteaws.amazon.com/­cloudsearchwww.firebirdsql.orgwww.oracle.com/­database/­technologies/­related/­berkeleydb.htmlswaydb.simer.auwww.timescale.com
Technical documentationdocs.aws.amazon.com/­cloudsearchwww.firebirdsql.org/­en/­reference-manualsdocs.oracle.com/­cd/­E17076_05/­html/­index.htmldocs.timescale.com
DeveloperAmazonFirebird FoundationOracle infooriginally developed by Sleepycat, which was acquired by OracleSimer PlahaTimescale
Initial release20122000 infoAs fork of Borland's InterBase199420182017
Current release5.0.0, January 202418.1.40, May 20202.15.0, May 2024
License infoCommercial or Open SourcecommercialOpen Source infoInitial Developer's Public LicenseOpen Source infocommercial license availableOpen Source infoGNU Affero GPL V3.0Open Source infoApache 2.0
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC and C++C, Java, C++ (depending on the Berkeley DB edition)ScalaC
Server operating systemshostedAIX
FreeBSD
HP-UX
Linux
OS X
server-less infoFirebird Embedded Server
Solaris
Unix
Windows
AIX
Android
FreeBSD
iOS
Linux
OS X
Solaris
VxWorks
Windows
Linux
OS X
Windows
Data schemeyesyesschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesyesnononumerics, 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.yes infoonly with the Berkeley DB XML editionnoyes
Secondary indexesyes infoall search fields are automatically indexedyesyesnoyes
SQL infoSupport of SQLnoyesyes infoSQL interfaced based on SQLite is availablenoyes infofull PostgreSQL SQL syntax
APIs and other access methodsHTTP APIADO.NET
C/C++ API
JDBC infoJaybird
ODBC
OLE DB
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
.Net infoFigaro is a .Net framework assembly that extends Berkeley DB XML into an embeddable database engine for .NET
others infoThird-party libraries to manipulate Berkeley DB files are available for many languages
C
C#
C++
Java
JavaScript (Node.js) info3rd party binding
Perl
Python
Tcl
Java
Kotlin
Scala
.Net
C
C++
Delphi
Java infoJDBC
JavaScript
Perl
PHP
Python
R
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresnoPSQLnonouser defined functions, PL/pgSQL, PL/Tcl, PL/Perl, PL/Python, PL/Java, PL/PHP, PL/R, PL/Ruby, PL/Scheme, PL/Unix shell
Triggersnoyesyes infoonly for the SQL APInoyes
Partitioning methods infoMethods for storing different data on different nodesyes infoautomatic partitioning across Amazon Search Instance as requirednonenonenoneyes, across time and space (hash partitioning) attributes
Replication methods infoMethods for redundantly storing data on multiple nodesyes infomanaged transparently by AWSSource-replica replicationSource-replica replicationnoneSource-replica replication with hot standby and reads on replicas info
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesnonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDAtomic execution of operationsACID
Concurrency infoSupport for concurrent manipulation of datayesyes infoFeatures a multi-generational MVCC architecture, readers do not block writersyesyes
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.yesyesno
User concepts infoAccess controlauthentication via encrypted signaturesUsers with fine-grained authorization conceptnonofine grained access rights according to SQL-standard

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More resources
Amazon CloudSearchFirebirdOracle Berkeley DBSwayDBTimescaleDB
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