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DBMS > Apache Pinot vs. QuestDB

System Properties Comparison Apache Pinot vs. QuestDB

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Editorial information provided by DB-Engines
NameApache Pinot  Xexclude from comparisonQuestDB  Xexclude from comparison
DescriptionRealtime distributed OLAP datastore, designed to answer OLAP queries with low latencyA 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
Score0.84
Rank#252  Overall
#115  Relational DBMS
Score2.49
Rank#135  Overall
#10  Time Series DBMS
Websitepinot.apache.orgquestdb.io
Technical documentationdocs.pinot.apache.orgquestdb.io/­docs/­introduction
DeveloperApache Software Foundation and contributorsQuestDB Limited
Initial release20152014
Current release0.11.0, September 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open 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 languageJavaJava
Server operating systemsAll OS with a Java JDK11 or higherLinux
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 indexesno
SQL infoSupport of SQLSQL-like query languageSQL-like query language
APIs and other access methodsJDBCHTTP REST
InfluxDB Line Protocol (TCP/UDP)
JDBC
Supported programming languagesGo
Java
Python
C infoPostgreSQL driver
C++
Go
Java
JavaScript (Node.js)
Python
Rust infoover HTTP
Server-side scripts infoStored proceduresno
Triggersno
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioninghorizontal partitioning (by timestamps)
Replication methods infoMethods for redundantly storing data on multiple nodesConfigurable consistency for N replicas
MapReduce infoOffers an API for user-defined Map/Reduce methodsno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Foreign keys infoReferential integrityno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID for single-table writes
Concurrency infoSupport for concurrent manipulation of datayes
Durability infoSupport for making data persistentyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infothrough memory mapped files
More information provided by the system vendor
Apache PinotQuestDB
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

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8 June 2023

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1 June 2023

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22 May 2023

Time-Series Data Visualization with Apache Superset and QuestDB
19 May 2023

Optimizing the Optimizer: the Time-Series Benchmark Suite
18 May 2023

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More resources
Apache PinotQuestDB
Recent citations in the news

Apache Pinot Uncorks Real-Time Data for Ad-Tech Firm
9 March 2023, Datanami

Data analytics startup StarTree secures cash to expand its Apache Pinot-powered platform
29 August 2022, TechCrunch

Building Latency Sensitive User Facing Analytics via Apache Pinot
28 June 2021, InfoQ.com

Apache Pinot Makes It To The Organization's Top Shelf For Real-Time Big Data Analytics
3 August 2021, Phoronix

Building Latency Sensitive User Facing Analytics via Apache Pinot
31 January 2021, InfoQ.com

provided by Google News

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11 November 2021, Business Insider

MindsDB is now the leading and fastest growing applied ML platform in the world
3 November 2022, Yahoo Finance

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20 April 2023, tomaszs2.medium.com

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