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DBMS > Drizzle vs. eXtremeDB vs. QuestDB vs. Warp 10

System Properties Comparison Drizzle vs. eXtremeDB vs. QuestDB vs. Warp 10

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Editorial information provided by DB-Engines
NameDrizzle  Xexclude from comparisoneXtremeDB  Xexclude from comparisonQuestDB  Xexclude from comparisonWarp 10  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.Natively in-memory DBMS with options for persistency, high-availability and clusteringA high performance open source SQL database for time series dataTimeSeries DBMS specialized on timestamped geo data based on LevelDB or HBase
Primary database modelRelational DBMSRelational DBMS
Time Series DBMS
Time Series DBMSTime Series DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.80
Rank#214  Overall
#99  Relational DBMS
#18  Time Series DBMS
Score2.70
Rank#105  Overall
#8  Time Series DBMS
Score0.14
Rank#344  Overall
#32  Time Series DBMS
Websitewww.mcobject.comquestdb.iowww.warp10.io
Technical documentationwww.mcobject.com/­docs/­extremedb.htmquestdb.io/­docswww.warp10.io/­content/­02_Getting_started
DeveloperDrizzle project, originally started by Brian AkerMcObjectQuestDB Technology IncSenX
Initial release2008200120142015
Current release7.2.4, September 20128.2, 2021
License infoCommercial or Open SourceOpen Source infoGNU GPLcommercialOpen Source infoApache 2.0Open Source infoApache License 2.0
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.
Implementation languageC++C and C++Java (Zero-GC), C++, RustJava
Server operating systemsFreeBSD
Linux
OS X
AIX
HP-UX
Linux
macOS
Solaris
Windows
Linux
macOS
Windows
Linux
OS X
Windows
Data schemeyesyesyes infoschema-free via InfluxDB Line Protocolschema-free
Typing infopredefined data types such as float or dateyesyesyesyes
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 infosupport of XML interfaces availablenono
Secondary indexesyesyesnono
SQL infoSupport of SQLyes infowith proprietary extensionsyes infowith the option: eXtremeSQLSQL with time-series extensionsno
APIs and other access methodsJDBC.NET Client API
JDBC
JNI
ODBC
Proprietary protocol
RESTful HTTP API
HTTP REST
InfluxDB Line Protocol (TCP/UDP)
JDBC
PostgreSQL wire protocol
HTTP API
Jupyter
WebSocket
Supported programming languagesC
C++
Java
PHP
.Net
C
C#
C++
Java
Lua
Python
Scala
C infoPostgreSQL driver
C++
Go
Java
JavaScript (Node.js)
Python
Rust infoover HTTP
Server-side scripts infoStored proceduresnoyesnoyes infoWarpScript
Triggersno infohooks for callbacks inside the server can be used.yes infoby defining eventsnono
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioning / shardinghorizontal partitioning (by timestamps)Sharding infobased on HBase
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
Active Replication Fabricâ„¢ for IoT
Multi-source replication infoby means of eXtremeDB Cluster option
Source-replica replication infoby means of eXtremeDB High Availability option
Source-replica replication with eventual consistencyselectable replication factor infobased on HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency infobased on HBase
Foreign keys infoReferential integrityyesyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACID for single-table writesno
Concurrency infoSupport for concurrent manipulation of datayesyes infoOptimistic (MVCC) and pessimistic (locking) strategies availableyesyes
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.yesyes infothrough memory mapped filesyes
User concepts infoAccess controlPluggable authentication mechanisms infoe.g. LDAP, HTTPMandatory use of cryptographic tokens, containing fine-grained authorizations
More information provided by the system vendor
DrizzleeXtremeDBQuestDBWarp 10
Specific characteristicseXtremeDB is an in-memory and/or persistent database system that offers an ultra-small...
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Relational model with native time series support Column-based storage and time partitioned...
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Competitive advantageseXtremeDB databases can be modeled relationally or as objects and can utilize SQL...
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High ingestion throughput: peak of 4M rows/sec (TSBS Benchmark) Code optimizations...
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Typical application scenariosIoT application across all markets: Industrial Control, Netcom, Telecom, Defense,...
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Financial tick data Industrial IoT Application Metrics Monitoring
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Key customersSchneider Electronics, F5 Networks, TNS, Boeing, Northrop Grumman, GoPro, ViaSat,...
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Banks & Hedge funds, Yahoo, OKX, Airbus, Aquis Exchange, Net App, Cloudera, Airtel,...
» more
Market metricsWith hundreds of customers and over 30 million devices/applications using the product...
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Licensing and pricing modelsFor server use cases, there is a simple per-server license irrespective of the number...
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Open source Apache 2.0 QuestDB Enterprise QuestDB Cloud
» more
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More resources
DrizzleeXtremeDBQuestDBWarp 10
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