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DBMS > Quasardb vs. QuestDB vs. Yanza

System Properties Comparison Quasardb vs. QuestDB vs. Yanza

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Editorial information provided by DB-Engines
NameQuasardb  Xexclude from comparisonQuestDB  Xexclude from comparisonYanza  Xexclude from comparison
DescriptionDistributed, high-performance timeseries databaseA high performance open source SQL database for time series dataTime Series DBMS for IoT Applications
Primary database modelTime Series DBMSTime Series DBMSTime Series DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.09
Rank#321  Overall
#28  Time Series DBMS
Score1.24
Rank#155  Overall
#12  Time Series DBMS
Score0.00
Rank#363  Overall
#34  Time Series DBMS
Websitequasardb.netquestdb.ioyanza.com
Technical documentationdoc.quasar.ai/­masterquestdb.io/­docs/­introduction
DeveloperquasardbQuestDB LimitedYanza
Initial release200920142015
Current release3.13.3, April 2022
License infoCommercial or Open Sourcecommercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licensesOpen Source infoApache 2.0commercial infofree version available
Cloud-based only infoOnly available as a cloud servicenonono infobut mainly used as a service provided by Yanza
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++Java
Server operating systemsBSD
Linux
OS X
Windows
Linux
macOS
Windows
Windows
Data schemeschema-freeyes infoschema-free via InfluxDB Line Protocolschema-free
Typing infopredefined data types such as float or dateyes infointeger and binaryyesno
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 indexesyes infowith tagsnono
SQL infoSupport of SQLSQL-like query languageSQL-like query languageno
APIs and other access methodsHTTP APIHTTP REST
InfluxDB Line Protocol (TCP/UDP)
JDBC
HTTP API
Supported programming languages.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
C infoPostgreSQL driver
C++
Go
Java
JavaScript (Node.js)
Python
Rust infoover HTTP
any language that supports HTTP calls
Server-side scripts infoStored proceduresnonono
Triggersnonoyes infoTimer and event based
Partitioning methods infoMethods for storing different data on different nodesSharding infoconsistent hashinghorizontal partitioning (by timestamps)none
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replication with selectable replication factorConfigurable consistency for N replicasnone
MapReduce infoOffers an API for user-defined Map/Reduce methodswith Hadoop integrationnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID for single-table writesno
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyes infoby using LevelDByesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infoTransient modeyes infothrough memory mapped files
User concepts infoAccess controlCryptographically strong user authentication and audit trailno
More information provided by the system vendor
QuasardbQuestDBYanza
Specific characteristicsHigh-performance , high-speed, fully integrated timeseries database Seamlessly combines...
» more
Relational model with native time series support Column based storage and time partitioned...
» more
Competitive advantagesHigh performance in a cost-effective small package Real-time results for even large...
» more
Real-time data ingestion and istant SQL queries for time series High performance...
» more
Typical application scenariosTick database Predictive maintenance Pre-deal checks Large scale monitoring
» more
Application metrics Financial market data and algo trading DevOps monitoring Real-time...
» more
Key customersLarge EU investment banks US based hedge funds Orolia Tellmeplus
» more
Market metricsHas been running in very demanding production environments since 2013 Rapid adoption...
» more
Licensing and pricing modelsCommunity edition limited to 2 nodes and 16 GiB of storage per node available for...
» more
Apache 2.0.
» more
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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
QuasardbQuestDBYanza
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