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DBMS > Apache Pinot vs. Drizzle vs. Firebolt

System Properties Comparison Apache Pinot vs. Drizzle vs. Firebolt

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Editorial information provided by DB-Engines
NameApache Pinot  Xexclude from comparisonDrizzle  Xexclude from comparisonFirebolt  Xexclude from comparison
Drizzle has published its last release in September 2012. The open-source project is discontinued and Drizzle is excluded from the DB-Engines ranking.
DescriptionRealtime distributed OLAP datastore, designed to answer OLAP queries with low latencyMySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.Highly scalable cloud data warehouse and analytics product infoForked from Clickhouse
Primary database modelRelational DBMSRelational DBMSRelational 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
Websitepinot.apache.orgwww.firebolt.io
Technical documentationdocs.pinot.apache.orgdocs.firebolt.io
DeveloperApache Software Foundation and contributorsDrizzle project, originally started by Brian AkerFirebolt Analytics Inc.
Initial release201520082020
Current release1.0.0, September 20237.2.4, September 2012
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoGNU GPLcommercial
Cloud-based only infoOnly available as a cloud servicenonoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++
Server operating systemsAll OS with a Java JDK11 or higherFreeBSD
Linux
OS X
hosted
Data schemeyesyesyes
Typing infopredefined data types such as float or dateyesyesyes
Secondary indexesyesyes
SQL infoSupport of SQLSQL-like query languageyes infowith proprietary extensionsyes
APIs and other access methodsJDBCJDBC.Net
ODBC
RESTful HTTP API
Supported programming languagesGo
Java
Python
C
C++
Java
PHP
Go
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresnono
Triggersno infohooks for callbacks inside the server can be used.no
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
depending on storage layer
MapReduce infoOffers an API for user-defined Map/Reduce methodsno
Foreign keys infoReferential integrityyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID
Concurrency infoSupport for concurrent manipulation of datayes
Durability infoSupport for making data persistentyes
User concepts infoAccess controlPluggable authentication mechanisms infoe.g. LDAP, HTTP

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More resources
Apache PinotDrizzleFirebolt
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