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DBMS > Amazon Aurora vs. DolphinDB vs. Firebird

System Properties Comparison Amazon Aurora vs. DolphinDB vs. Firebird

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Editorial information provided by DB-Engines
NameAmazon Aurora  Xexclude from comparisonDolphinDB  Xexclude from comparisonFirebird  Xexclude from comparison
DescriptionMySQL and PostgreSQL compatible cloud service by AmazonDolphinDB is a high performance Time Series DBMS. It is integrated with an easy-to-use fully featured programming language and a high-volume high-velocity streaming analytics system. It offers operational simplicity, scalability, fault tolerance, and concurrency.Firebird is an open source RDBMS forked from Borland's InterBase
Primary database modelRelational DBMSTime Series DBMSRelational DBMS
Secondary database modelsDocument storeRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score9.05
Rank#49  Overall
#31  Relational DBMS
Score4.14
Rank#85  Overall
#6  Time Series DBMS
Score22.45
Rank#31  Overall
#19  Relational DBMS
Websiteaws.amazon.com/­rds/­aurorawww.dolphindb.comwww.firebirdsql.org
Technical documentationdocs.aws.amazon.com/­AmazonRDS/­latest/­AuroraUserGuide/­CHAP_Aurora.htmldocs.dolphindb.cn/­en/­help200/­index.htmlwww.firebirdsql.org/­en/­reference-manuals
DeveloperAmazonDolphinDB, IncFirebird Foundation
Initial release201520182000 infoAs fork of Borland's InterBase
Current releasev2.00.4, January 20225.0.0, January 2024
License infoCommercial or Open Sourcecommercialcommercial infofree community version availableOpen Source infoInitial Developer's Public License
Cloud-based only infoOnly available as a cloud serviceyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++C and C++
Server operating systemshostedLinux
Windows
AIX
FreeBSD
HP-UX
Linux
OS X
server-less infoFirebird Embedded Server
Solaris
Unix
Windows
Data schemeyesyesyes
Typing infopredefined data types such as float or dateyesyesyes
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
Secondary indexesyesyesyes
SQL infoSupport of SQLyesSQL-like query languageyes
APIs and other access methodsADO.NET
JDBC
ODBC
JDBC
JSON over HTTP
Kafka
MQTT (Message Queue Telemetry Transport)
ODBC
OPC DA
OPC UA
RabbitMQ
WebSocket
ADO.NET
C/C++ API
JDBC infoJaybird
ODBC
OLE DB
Supported programming languagesAda
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
C#
C++
Go
Java
JavaScript
MatLab
Python
R
Rust
C
C#
C++
Delphi
Java
JavaScript infoNode.js
Lua
Perl
PHP
Python
Ruby
Server-side scripts infoStored proceduresyesyesPSQL
Triggersyesnoyes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioninghorizontal partitioningnone
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationyesSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDyesACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoFeatures a multi-generational MVCC architecture, readers do not block writers
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes
User concepts infoAccess controlfine grained access rights according to SQL-standardAdministrators, Users, GroupsUsers with fine-grained authorization concept

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More resources
Amazon AuroraDolphinDBFirebird
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