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DBMS > Apache Impala vs. Apache Pinot vs. Firebolt

System Properties Comparison Apache Impala vs. Apache Pinot vs. Firebolt

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Editorial information provided by DB-Engines
NameApache Impala  Xexclude from comparisonApache Pinot  Xexclude from comparisonFirebolt  Xexclude from comparison
DescriptionAnalytic DBMS for HadoopRealtime distributed OLAP datastore, designed to answer OLAP queries with low latencyHighly scalable cloud data warehouse and analytics product infoForked from Clickhouse
Primary database modelRelational DBMSRelational DBMSRelational DBMS
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score12.45
Rank#40  Overall
#24  Relational DBMS
Score0.38
Rank#275  Overall
#126  Relational DBMS
Score1.73
Rank#140  Overall
#63  Relational DBMS
Websiteimpala.apache.orgpinot.apache.orgwww.firebolt.io
Technical documentationimpala.apache.org/­impala-docs.htmldocs.pinot.apache.orgdocs.firebolt.io
DeveloperApache Software Foundation infoApache top-level project, originally developed by ClouderaApache Software Foundation and contributorsFirebolt Analytics Inc.
Initial release201320152020
Current release4.1.0, June 20221.0.0, September 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2Open Source infoApache Version 2.0commercial
Cloud-based only infoOnly available as a cloud servicenonoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++Java
Server operating systemsLinuxAll OS with a Java JDK11 or higherhosted
Data schemeyesyesyes
Typing infopredefined data types such as float or dateyesyesyes
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 indexesyesyes
SQL infoSupport of SQLSQL-like DML and DDL statementsSQL-like query languageyes
APIs and other access methodsJDBC
ODBC
JDBC.Net
ODBC
RESTful HTTP API
Supported programming languagesAll languages supporting JDBC/ODBCGo
Java
Python
Go
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reduceno
Triggersnono
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factordepending on storage layer
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReduce
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Foreign keys infoReferential integrityno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano
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.no
User concepts infoAccess controlAccess rights for users, groups and roles infobased on Apache Sentry and Kerberos

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More resources
Apache ImpalaApache PinotFirebolt
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