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DBMS > Drizzle vs. QuestDB

System Properties Comparison Drizzle vs. QuestDB

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Editorial information provided by DB-Engines
NameDrizzle  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.
DescriptionMySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.A high performance open source SQL database for time series data
Primary database modelRelational DBMSTime Series DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.64
Rank#215  Overall
#15  Time Series DBMS
Websitequestdb.io
Technical documentationquestdb.io/­docs/­introduction
DeveloperDrizzle project, originally started by Brian AkerQuestDB Limited
Initial release20082014
Current release7.2.4, September 2012
License infoCommercial or Open SourceOpen Source infoGNU GPLOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++Java
Server operating systemsFreeBSD
Linux
OS X
Linux
macOS
Windows
Data schemeyesyes infoschema-free via InfluxDB Line Protocol
Typing infopredefined data types such as float or dateyesyes
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.no
Secondary indexesyesno
SQL infoSupport of SQLyes infowith proprietary extensionsSQL-like query language
APIs and other access methodsJDBCHTTP REST
InfluxDB Line Protocol (TCP/UDP)
JDBC
Supported programming languagesC
C++
Java
PHP
C infoPostgreSQL driver
C++
Go
Java
JavaScript (Node.js)
Python
Rust infoover HTTP
Server-side scripts infoStored proceduresnono
Triggersno infohooks for callbacks inside the server can be used.no
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioning (by timestamps)
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
Configurable consistency for N replicas
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Foreign keys infoReferential integrityyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID for single-table writes
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infothrough memory mapped files
User concepts infoAccess controlPluggable authentication mechanisms infoe.g. LDAP, HTTP
More information provided by the system vendor
DrizzleQuestDB
Specific characteristicsRelational model with native time series support Column based storage and time partitioned...
» more
Competitive advantagesReal-time data ingestion and istant SQL queries for time series High performance...
» more
Typical application scenariosApplication metrics Financial market data and algo trading DevOps monitoring Real-time...
» more
Licensing and pricing modelsApache 2.0.
» more
News

QuestDB 6.0.4 July release, Prometheus metrics support
16 July 2021

How databases handle 10 million devices in high-cardinality benchmarks
16 June 2021

How we achieved write speeds of 1.4 million rows per second
10 May 2021

QuestDB version 6.0 alpha
20 April 2021

QuestDB release January 2021
5 February 2021

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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
DrizzleQuestDB
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Recent citations in the news

QuestDB has built a lightning fast time series database. Can it build a business to match?
16 February 2021, TechRepublic

Open-source growth and venture capital investment: Data, databases, challenges, and opportunities
7 July 2021, ZDNet

QuestDB nabs $2.3M seed to build open source time series database
2 July 2020, TechCrunch

Q&A: Nicolas Hourcard, QuestDB: The advantages of a time-series database
3 December 2020, Developer Tech

Cloud-Based Time Series Database Market Size, Region Comparison by Sales Channel 2020-2027 – Your Subsea News
30 July 2021, Your Subsea News

provided by Google News



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