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DBMS > Apache Impala vs. Firebolt vs. QuestDB vs. Yanza

System Properties Comparison Apache Impala vs. Firebolt vs. QuestDB vs. Yanza

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Editorial information provided by DB-Engines
NameApache Impala  Xexclude from comparisonFirebolt  Xexclude from comparisonQuestDB  Xexclude from comparisonYanza  Xexclude from comparison
Yanza seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionAnalytic DBMS for HadoopHighly scalable cloud data warehouse and analytics product infoForked from ClickhouseA high performance open source SQL database for time series dataTime Series DBMS for IoT Applications
Primary database modelRelational DBMSRelational DBMSTime Series DBMSTime Series DBMS
Secondary database modelsDocument storeRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score12.45
Rank#40  Overall
#24  Relational DBMS
Score1.73
Rank#140  Overall
#63  Relational DBMS
Score2.70
Rank#105  Overall
#8  Time Series DBMS
Websiteimpala.apache.orgwww.firebolt.ioquestdb.ioyanza.com
Technical documentationimpala.apache.org/­impala-docs.htmldocs.firebolt.ioquestdb.io/­docs
DeveloperApache Software Foundation infoApache top-level project, originally developed by ClouderaFirebolt Analytics Inc.QuestDB Technology IncYanza
Initial release2013202020142015
Current release4.1.0, June 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2commercialOpen Source infoApache 2.0commercial infofree version available
Cloud-based only infoOnly available as a cloud servicenoyesnono 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 (Zero-GC), C++, Rust
Server operating systemsLinuxhostedLinux
macOS
Windows
Windows
Data schemeyesyesyes infoschema-free via InfluxDB Line Protocolschema-free
Typing infopredefined data types such as float or dateyesyesyesno
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 indexesyesyesnono
SQL infoSupport of SQLSQL-like DML and DDL statementsyesSQL with time-series extensionsno
APIs and other access methodsJDBC
ODBC
.Net
ODBC
RESTful HTTP API
HTTP REST
InfluxDB Line Protocol (TCP/UDP)
JDBC
PostgreSQL wire protocol
HTTP API
Supported programming languagesAll languages supporting JDBC/ODBCGo
JavaScript (Node.js)
Python
C infoPostgreSQL driver
C++
Go
Java
JavaScript (Node.js)
Python
Rust infoover HTTP
any language that supports HTTP calls
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reducenonono
Triggersnononoyes infoTimer and event based
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioning (by timestamps)none
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factordepending on storage layerSource-replica replication with eventual consistencynone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReducenono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID for single-table writesno
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.noyes infothrough memory mapped files
User concepts infoAccess controlAccess rights for users, groups and roles infobased on Apache Sentry and Kerberosno
More information provided by the system vendor
Apache ImpalaFireboltQuestDBYanza
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
Apache ImpalaFireboltQuestDBYanza
Recent citations in the news

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QuestDB gets $12M Series A funding amid growing interest in time-series databases
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