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DBMS > Drizzle vs. Microsoft Azure Synapse Analytics vs. QuestDB

System Properties Comparison Drizzle vs. Microsoft Azure Synapse Analytics vs. QuestDB

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Editorial information provided by DB-Engines
NameDrizzle  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  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.Elastic, large scale data warehouse service leveraging the broad eco-system of SQL ServerA high performance open source SQL database for time series data
Primary database modelRelational DBMSRelational DBMSTime Series DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score22.71
Rank#30  Overall
#18  Relational DBMS
Score2.48
Rank#115  Overall
#9  Time Series DBMS
Websiteazure.microsoft.com/­services/­synapse-analyticsquestdb.io
Technical documentationdocs.microsoft.com/­azure/­synapse-analyticsquestdb.io/­docs
DeveloperDrizzle project, originally started by Brian AkerMicrosoftQuestDB Technology Inc
Initial release200820162014
Current release7.2.4, September 2012
License infoCommercial or Open SourceOpen Source infoGNU GPLcommercialOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++C++Java (Zero-GC), C++, Rust
Server operating systemsFreeBSD
Linux
OS X
hostedLinux
macOS
Windows
Data schemeyesyesyes infoschema-free via InfluxDB Line Protocol
Typing infopredefined data types such as float or dateyesyesyes
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.nono
Secondary indexesyesyesno
SQL infoSupport of SQLyes infowith proprietary extensionsyesSQL with time-series extensions
APIs and other access methodsJDBCADO.NET
JDBC
ODBC
HTTP REST
InfluxDB Line Protocol (TCP/UDP)
JDBC
PostgreSQL wire protocol
Supported programming languagesC
C++
Java
PHP
C#
Java
PHP
C infoPostgreSQL driver
C++
Go
Java
JavaScript (Node.js)
Python
Rust infoover HTTP
Server-side scripts infoStored proceduresnoTransact SQLno
Triggersno infohooks for callbacks inside the server can be used.nono
Partitioning methods infoMethods for storing different data on different nodesShardingSharding, horizontal partitioninghorizontal partitioning (by timestamps)
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
yesSource-replica replication with eventual consistency
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesno infodocs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraintsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACID for single-table writes
Concurrency infoSupport for concurrent manipulation of datayesyesyes
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.yes infothrough memory mapped files
User concepts infoAccess controlPluggable authentication mechanisms infoe.g. LDAP, HTTPyes
More information provided by the system vendor
DrizzleMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseQuestDB
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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