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DBMS > Apache Doris vs. Dragonfly vs. Drizzle vs. EsgynDB vs. QuestDB

System Properties Comparison Apache Doris vs. Dragonfly vs. Drizzle vs. EsgynDB vs. QuestDB

Editorial information provided by DB-Engines
NameApache Doris  Xexclude from comparisonDragonfly  Xexclude from comparisonDrizzle  Xexclude from comparisonEsgynDB  Xexclude from comparisonQuestDB  Xexclude from comparison
Drizzle has published its last release in September 2012. The open-source project is discontinued and Drizzle is excluded from the DB-Engines ranking.
DescriptionAn MPP-based analytics DBMS embracing the MySQL protocolA drop-in Redis replacement that scales vertically to support millions of operations per second and terabyte sized workloads, all on a single instanceMySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.Enterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionA high performance open source SQL database for time series data
Primary database modelRelational DBMSKey-value storeRelational DBMSRelational DBMSTime Series DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.57
Rank#244  Overall
#113  Relational DBMS
Score0.41
Rank#266  Overall
#38  Key-value stores
Score0.16
Rank#329  Overall
#146  Relational DBMS
Score2.52
Rank#109  Overall
#9  Time Series DBMS
Websitedoris.apache.org
github.com/­apache/­doris
github.com/­dragonflydb/­dragonfly
www.dragonflydb.io
www.esgyn.cnquestdb.io
Technical documentationgithub.com/­apache/­doris/­wikiwww.dragonflydb.io/­docsquestdb.io/­docs
DeveloperApache Software Foundation, originally contributed from BaiduDragonflyDB team and community contributorsDrizzle project, originally started by Brian AkerEsgynQuestDB Technology Inc
Initial release20172023200820152014
Current release1.2.2, February 20231.0, March 20237.2.4, September 2012
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoBSL 1.1Open Source infoGNU GPLcommercialOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC++C++C++, JavaJava (Zero-GC), C++, Rust
Server operating systemsLinuxLinuxFreeBSD
Linux
OS X
LinuxLinux
macOS
Windows
Data schemeyesscheme-freeyesyesyes infoschema-free via InfluxDB Line Protocol
Typing infopredefined data types such as float or dateyesstrings, hashes, lists, sets, sorted sets, bit arraysyesyesyes
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.nononono
Secondary indexesyesnoyesyesno
SQL infoSupport of SQLyesnoyes infowith proprietary extensionsyesSQL with time-series extensions
APIs and other access methodsJDBC
MySQL client
Proprietary protocol infoRESP - REdis Serialization ProtocolJDBCADO.NET
JDBC
ODBC
HTTP REST
InfluxDB Line Protocol (TCP/UDP)
JDBC
PostgreSQL wire protocol
Supported programming languagesJavaC
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++
Java
PHP
All languages supporting JDBC/ODBC/ADO.NetC infoPostgreSQL driver
C++
Go
Java
JavaScript (Node.js)
Python
Rust infoover HTTP
Server-side scripts infoStored proceduresuser defined functionsLuanoJava Stored Proceduresno
Triggersnopublish/subscribe channels provide some trigger functionalityno infohooks for callbacks inside the server can be used.nono
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningShardingShardinghorizontal partitioning (by timestamps)
Replication methods infoMethods for redundantly storing data on multiple nodesnoneSource-replica replicationMulti-source replication
Source-replica replication
Multi-source replication between multi datacentersSource-replica replication with eventual consistency
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of command blocks and scriptsACIDACIDACID for single-table writes
Concurrency infoSupport for concurrent manipulation of datayesyes, strict serializability by the serveryesyesyes
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.noyesnoyes infothrough memory mapped files
User concepts infoAccess controlfine grained access rights according to SQL-standardPassword-based authenticationPluggable authentication mechanisms infoe.g. LDAP, HTTPfine grained access rights according to SQL-standard
More information provided by the system vendor
Apache DorisDragonflyDrizzleEsgynDBQuestDB
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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More resources
Apache DorisDragonflyDrizzleEsgynDBQuestDB
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