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DBMS > Apache Pinot vs. Firebolt vs. QuestDB vs. Trafodion

System Properties Comparison Apache Pinot vs. Firebolt vs. QuestDB vs. Trafodion

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Editorial information provided by DB-Engines
NameApache Pinot  Xexclude from comparisonFirebolt  Xexclude from comparisonQuestDB  Xexclude from comparisonTrafodion  Xexclude from comparison
Apache Trafodion has been retired in 2021. Therefore it is excluded from the DB-Engines Ranking.
DescriptionRealtime distributed OLAP datastore, designed to answer OLAP queries with low latencyHighly scalable cloud data warehouse and analytics product infoForked from ClickhouseA high performance open source SQL database for time series dataTransactional SQL-on-Hadoop DBMS
Primary database modelRelational DBMSRelational DBMSTime Series DBMSRelational DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.40
Rank#270  Overall
#125  Relational DBMS
Score1.90
Rank#134  Overall
#62  Relational DBMS
Score2.52
Rank#109  Overall
#9  Time Series DBMS
Websitepinot.apache.orgwww.firebolt.ioquestdb.iotrafodion.apache.org
Technical documentationdocs.pinot.apache.orgdocs.firebolt.ioquestdb.io/­docstrafodion.apache.org/­documentation.html
DeveloperApache Software Foundation and contributorsFirebolt Analytics Inc.QuestDB Technology IncApache Software Foundation, originally developed by HP
Initial release2015202020142014
Current release1.0.0, September 20232.3.0, February 2019
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialOpen Source infoApache 2.0Open Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaJava (Zero-GC), C++, RustC++, Java
Server operating systemsAll OS with a Java JDK11 or higherhostedLinux
macOS
Windows
Linux
Data schemeyesyesyes infoschema-free via InfluxDB Line Protocolyes
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.nono
Secondary indexesyesnoyes
SQL infoSupport of SQLSQL-like query languageyesSQL with time-series extensionsyes
APIs and other access methodsJDBC.Net
ODBC
RESTful HTTP API
HTTP REST
InfluxDB Line Protocol (TCP/UDP)
JDBC
PostgreSQL wire protocol
ADO.NET
JDBC
ODBC
Supported programming languagesGo
Java
Python
Go
JavaScript (Node.js)
Python
C infoPostgreSQL driver
C++
Go
Java
JavaScript (Node.js)
Python
Rust infoover HTTP
All languages supporting JDBC/ODBC/ADO.Net
Server-side scripts infoStored proceduresnonoJava Stored Procedures
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioninghorizontal partitioning (by timestamps)Sharding
Replication methods infoMethods for redundantly storing data on multiple nodesdepending on storage layerSource-replica replication with eventual consistencyyes, via HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infovia user defined functions and HBase
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID for single-table writesACID
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 filesno
User concepts infoAccess controlfine grained access rights according to SQL-standard
More information provided by the system vendor
Apache PinotFireboltQuestDBTrafodion
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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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
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