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DBMS > Dolt vs. Dragonfly vs. QuestDB

System Properties Comparison Dolt vs. Dragonfly vs. QuestDB

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Editorial information provided by DB-Engines
NameDolt  Xexclude from comparisonDragonfly  Xexclude from comparisonQuestDB  Xexclude from comparison
DescriptionA MySQL compatible DBMS with Git-like versioning of data and schemaA drop-in Redis replacement that scales vertically to support millions of operations per second and terabyte sized workloads, all on a single instanceA high performance open source SQL database for time series data
Primary database modelRelational DBMSKey-value storeTime Series DBMS
Secondary database modelsDocument storeRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.02
Rank#191  Overall
#89  Relational DBMS
Score0.49
Rank#261  Overall
#38  Key-value stores
Score2.70
Rank#105  Overall
#8  Time Series DBMS
Websitegithub.com/­dolthub/­dolt
www.dolthub.com
github.com/­dragonflydb/­dragonfly
www.dragonflydb.io
questdb.io
Technical documentationdocs.dolthub.comwww.dragonflydb.io/­docsquestdb.io/­docs
DeveloperDoltHub IncDragonflyDB team and community contributorsQuestDB Technology Inc
Initial release201820232014
Current release1.0, March 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoBSL 1.1Open Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoC++Java (Zero-GC), C++, Rust
Server operating systemsLinux
macOS
Windows
LinuxLinux
macOS
Windows
Data schemeyesscheme-freeyes infoschema-free via InfluxDB Line Protocol
Typing infopredefined data types such as float or dateyesstrings, hashes, lists, sets, sorted sets, bit arraysyes
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.nonono
Secondary indexesyesnono
SQL infoSupport of SQLyesnoSQL with time-series extensions
APIs and other access methodsCLI Client
HTTP REST
Proprietary protocol infoRESP - REdis Serialization ProtocolHTTP REST
InfluxDB Line Protocol (TCP/UDP)
JDBC
PostgreSQL wire protocol
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#
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 infoPostgreSQL driver
C++
Go
Java
JavaScript (Node.js)
Python
Rust infoover HTTP
Server-side scripts infoStored proceduresyes infocurrently in alpha releaseLuano
Triggersyespublish/subscribe channels provide some trigger functionalityno
Partitioning methods infoMethods for storing different data on different nodesnonehorizontal partitioning (by timestamps)
Replication methods infoMethods for redundantly storing data on multiple nodesA database can be cloned to multiple locations and be used there in isolation. Data/schema changes can be pushed/pulled explicitly between locations.Source-replica replicationSource-replica replication with eventual consistency
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDAtomic execution of command blocks and scriptsACID for single-table writes
Concurrency infoSupport for concurrent manipulation of datayesyes, strict serializability by the serveryes
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 infothrough memory mapped files
User concepts infoAccess controlOnly one user is configurable, and must be specified in the config file at startupPassword-based authentication
More information provided by the system vendor
DoltDragonflyQuestDB
Specific characteristicsRelational model with native time series support Column-based storage and time partitioned...
» more
Competitive advantagesHigh ingestion throughput: peak of 4M rows/sec (TSBS Benchmark) Code optimizations...
» more
Typical application scenariosFinancial tick data Industrial IoT Application Metrics Monitoring
» more
Key customersBanks & Hedge funds, Yahoo, OKX, Airbus, Aquis Exchange, Net App, Cloudera, Airtel,...
» more
Licensing and pricing modelsOpen source Apache 2.0 QuestDB Enterprise QuestDB Cloud
» more
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23 May 2024

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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
DoltDragonflyQuestDB
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