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DBMS > Dragonfly vs. Microsoft SQL Server vs. QuestDB vs. YottaDB

System Properties Comparison Dragonfly vs. Microsoft SQL Server vs. QuestDB vs. YottaDB

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Editorial information provided by DB-Engines
NameDragonfly  Xexclude from comparisonMicrosoft SQL Server  Xexclude from comparisonQuestDB  Xexclude from comparisonYottaDB  Xexclude from comparison
DescriptionA drop-in Redis replacement that scales vertically to support millions of operations per second and terabyte sized workloads, all on a single instanceMicrosofts flagship relational DBMSA high performance open source SQL database for time series dataA fast and solid embedded Key-value store
Primary database modelKey-value storeRelational DBMSTime Series DBMSKey-value store
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
Relational DBMSRelational DBMS infousing the Octo plugin
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.53
Rank#244  Overall
#35  Key-value stores
Score774.89
Rank#3  Overall
#3  Relational DBMS
Score3.26
Rank#79  Overall
#6  Time Series DBMS
Score0.20
Rank#311  Overall
#46  Key-value stores
Websitegithub.com/­dragonflydb/­dragonfly
www.dragonflydb.io
www.microsoft.com/­en-us/­sql-serverquestdb.ioyottadb.com
Technical documentationwww.dragonflydb.io/­docslearn.microsoft.com/­en-US/­sql/­sql-serverquestdb.io/­docsyottadb.com/­resources/­documentation
DeveloperDragonflyDB team and community contributorsMicrosoftQuestDB Technology IncYottaDB, LLC
Initial release2023198920142001
Current release1.0, March 2023SQL Server 2022, November 2022
License infoCommercial or Open SourceOpen Source infoBSL 1.1commercial inforestricted free version is availableOpen Source infoApache 2.0Open Source infoAGPL 3.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
SQLServer Flex @ STACKIT offers a managed version of SQL Server with adjustable CPU, RAM, storage amount and speed, in enterprise grade to perfectly match all application requirements. All services are 100% GDPR-compliant.
Implementation languageC++C++Java (Zero-GC), C++, RustC
Server operating systemsLinuxLinux
Windows
Linux
macOS
Windows
Docker
Linux
Data schemescheme-freeyesyes infoschema-free via InfluxDB Line Protocolschema-free
Typing infopredefined data types such as float or datestrings, hashes, lists, sets, sorted sets, bit arraysyesyesno
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.noyesnono
Secondary indexesnoyesnono
SQL infoSupport of SQLnoyesSQL with time-series extensionsby using the Octo plugin
APIs and other access methodsProprietary protocol infoRESP - REdis Serialization ProtocolADO.NET
JDBC
ODBC
OLE DB
Tabular Data Stream (TDS)
HTTP REST
InfluxDB Line Protocol (TCP/UDP)
JDBC
PostgreSQL wire protocol
PostgreSQL wire protocol infousing the Octo plugin
Proprietary protocol
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++
Delphi
Go
Java
JavaScript (Node.js)
PHP
Python
R
Ruby
Visual Basic
C infoPostgreSQL driver
C++
Go
Java
JavaScript (Node.js)
Python
Rust infoover HTTP
C
Go
JavaScript (Node.js)
Lua
M
Perl
Python
Rust
Server-side scripts infoStored proceduresLuaTransact SQL, .NET languages, R, Python and (with SQL Server 2019) Javano
Triggerspublish/subscribe channels provide some trigger functionalityyesno
Partitioning methods infoMethods for storing different data on different nodestables can be distributed across several files (horizontal partitioning); sharding through federationhorizontal partitioning (by timestamps)
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationyes, but depending on the SQL-Server EditionSource-replica replication with eventual consistencyyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of command blocks and scriptsACIDACID for single-table writesoptimistic locking
Concurrency infoSupport for concurrent manipulation of datayes, strict serializability by the serveryesyes
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.yesyesyes infothrough memory mapped filesyes
User concepts infoAccess controlPassword-based authenticationfine grained access rights according to SQL-standardUsers and groups based on OS-security mechanisms

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More resources
DragonflyMicrosoft SQL ServerQuestDBYottaDB
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