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DBMS > Dragonfly vs. Firebird vs. JSqlDb vs. Microsoft Azure Synapse Analytics vs. TimescaleDB

System Properties Comparison Dragonfly vs. Firebird vs. JSqlDb vs. Microsoft Azure Synapse Analytics vs. TimescaleDB

Editorial information provided by DB-Engines
NameDragonfly  Xexclude from comparisonFirebird  Xexclude from comparisonJSqlDb  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparisonTimescaleDB  Xexclude from comparison
JSqlDB seems to be discontinued. Therefore it is excluded from the DB-Engines ranking.
DescriptionA drop-in Redis replacement that scales vertically to support millions of operations per second and terabyte sized workloads, all on a single instanceFirebird is an open source RDBMS forked from Borland's InterBaseJavaScript Query Language Database, stores JavaScript objects and primitivesElastic, large scale data warehouse service leveraging the broad eco-system of SQL ServerA time series DBMS optimized for fast ingest and complex queries, based on PostgreSQL
Primary database modelKey-value storeRelational DBMSDocument store
Object oriented DBMS
Relational DBMSTime Series DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.41
Rank#266  Overall
#38  Key-value stores
Score20.82
Rank#30  Overall
#18  Relational DBMS
Score20.56
Rank#31  Overall
#19  Relational DBMS
Score4.64
Rank#71  Overall
#4  Time Series DBMS
Websitegithub.com/­dragonflydb/­dragonfly
www.dragonflydb.io
www.firebirdsql.orgjsqldb.org (offline)azure.microsoft.com/­services/­synapse-analyticswww.timescale.com
Technical documentationwww.dragonflydb.io/­docswww.firebirdsql.org/­en/­reference-manualsdocs.microsoft.com/­azure/­synapse-analyticsdocs.timescale.com
DeveloperDragonflyDB team and community contributorsFirebird FoundationKonrad von BackstromMicrosoftTimescale
Initial release20232000 infoAs fork of Borland's InterBase201820162017
Current release1.0, March 20235.0.0, January 20240.8, December 20182.13.0, November 2023
License infoCommercial or Open SourceOpen Source infoBSL 1.1Open Source infoInitial Developer's Public LicenseOpen SourcecommercialOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenononoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++C and C++C++C
Server operating systemsLinuxAIX
FreeBSD
HP-UX
Linux
OS X
server-less infoFirebird Embedded Server
Solaris
Unix
Windows
Linux
macOS
Windows
hostedLinux
OS X
Windows
Data schemescheme-freeyesschema-freeyesyes
Typing infopredefined data types such as float or datestrings, hashes, lists, sets, sorted sets, bit arraysyesnoyesnumerics, 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.nononoyes
Secondary indexesnoyesnoyesyes
SQL infoSupport of SQLnoyesnoyesyes infofull PostgreSQL SQL syntax
APIs and other access methodsProprietary protocol infoRESP - REdis Serialization ProtocolADO.NET
C/C++ API
JDBC infoJaybird
ODBC
OLE DB
ADO.NET
JDBC
ODBC
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Supported programming languagesC
C#
C++
Clojure
D
Dart
Elixir
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Lisp
Lua
Objective-C
Perl
PHP
Python
R
Ruby
Rust
Scala
Swift
Tcl
C
C#
C++
Delphi
Java
JavaScript infoNode.js
Lua
Perl
PHP
Python
Ruby
JavaScriptC#
Java
PHP
.Net
C
C++
Delphi
Java infoJDBC
JavaScript
Perl
PHP
Python
R
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresLuaPSQLfunctions in JavaScriptTransact SQLuser defined functions, PL/pgSQL, PL/Tcl, PL/Perl, PL/Python, PL/Java, PL/PHP, PL/R, PL/Ruby, PL/Scheme, PL/Unix shell
Triggerspublish/subscribe channels provide some trigger functionalityyesnonoyes
Partitioning methods infoMethods for storing different data on different nodesnonenoneSharding, horizontal partitioningyes, across time and space (hash partitioning) attributes
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationSource-replica replicationnoneyesSource-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 systemEventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesnono infodocs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraintsyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of command blocks and scriptsACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayes, strict serializability by the serveryes infoFeatures a multi-generational MVCC architecture, readers do not block writersyesyes
Durability infoSupport for making data persistentyesyesyes infousing RocksDByesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesno
User concepts infoAccess controlPassword-based authenticationUsers with fine-grained authorization conceptyesfine grained access rights according to SQL-standard

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More resources
DragonflyFirebirdJSqlDbMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseTimescaleDB
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