DBMS > Apache Pinot vs. MySQL vs. Stardog

System Properties Comparison Apache Pinot vs. MySQL vs. Stardog

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Editorial information provided by DB-Engines

Name

Description

Realtime distributed OLAP datastore, designed to answer OLAP queries with low latency

Widely used open source RDBMS

Enterprise Knowledge Graph platform and graph DBMS with high availability, high performance reasoning, and virtualization

Primary database model

Relational DBMS

Key/Value like access via memcached API

Graph DBMS
RDF store

Secondary database models

Document store
Spatial DBMS

DB-Engines Ranking measures the popularity of database management systems
Trend Chart

Score	0.50
Rank	#248	Overall
	#117	Relational DBMS

Score	964.98
Rank	#2	Overall
	#2	Relational DBMS

Score	1.73
Rank	#130	Overall
	#12	Graph DBMS
	#6	RDF stores

Website

pinot.apache.org

www.mysql.com

www.stardog.com

Technical documentation

docs.pinot.apache.org

dev.mysql.com/doc

docs.stardog.com

Developer

Apache Software Foundation and contributors

Oracle

since 2010, originally MySQL AB, then Sun

Stardog-Union

Initial release

2015

1995

2010

Current release

1.0.0, September 2023

9.0.0, July 2024

7.3.0, May 2020

License

Commercial or Open Source

Open Source

Apache Version 2.0

Open Source

GPL version 2. Commercial licenses with extended functionallity are available

commercial

60-day fully-featured trial license; 1-year fully-featured non-commercial use license for academics/students

Cloud-based only

Only available as a cloud service

DBaaS offerings (sponsored links)

Database as a Service

Providers of DBaaS offerings, please contact us to be listed.

Implementation language

Java

C and C++

Java

Server operating systems

All OS with a Java JDK11 or higher

FreeBSD
Linux
OS X
Solaris
Windows

Linux
macOS
Windows

Data scheme

yes

schema-free and OWL/RDFS-schema support

Typing

predefined data types such as float or date

yes

XML support

Some form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.

yes

Import/export of XML data possible

Secondary indexes

yes

supports real-time indexing in full-text and geospatial

SQL

Support of SQL

SQL-like query language

yes

with proprietary extensions

Yes, compatible with all major SQL variants through dedicated BI/SQL Server

APIs and other access methods

JDBC

ADO.NET
JDBC
ODBC
Proprietary native API

GraphQL query language
HTTP API
Jena RDF API
OWL
RDF4J API
Sesame REST HTTP Protocol
SNARL
SPARQL
Spring Data
Stardog Studio
TinkerPop 3

Supported programming languages

Go
Java
Python

Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl

.Net
Clojure
Groovy
Java
JavaScript
Python
Ruby

Server-side scripts

Stored procedures

yes

proprietary syntax

user defined functions and aggregates, HTTP Server extensions in Java

Triggers

yes

via event handlers

Partitioning methods

Methods for storing different data on different nodes

horizontal partitioning

horizontal partitioning, sharding with MySQL Cluster or MySQL Fabric

none

Replication methods

Methods for redundantly storing data on multiple nodes

Multi-source replication
Source-replica replication

Multi-source replication in HA-Cluster

MapReduce

Offers an API for user-defined Map/Reduce methods

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency

Immediate Consistency in HA-Cluster

Foreign keys

Referential integrity

yes

not for MyISAM storage engine

yes

relationships in graphs

Transaction concepts

Support to ensure data integrity after non-atomic manipulations of data

ACID

not for MyISAM storage engine

ACID

Concurrency

Support for concurrent manipulation of data

yes

table locks or row locks depending on storage engine

yes

Durability

Support for making data persistent

yes

In-memory capabilities

Is there an option to define some or all structures to be held in-memory only.

yes

User concepts

Access control

Users with fine-grained authorization concept

no user groups or roles

Access rights for users and roles

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More resources

DB-Engines blog posts

MySQL is the DBMS of the Year 2019
3 January 2020, Matthias Gelbmann, Paul Andlinger

MariaDB strengthens its position in the open source RDBMS market
5 April 2018, Matthias Gelbmann

The struggle for the hegemony in Oracle's database empire
2 May 2017, Paul Andlinger

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Recent citations in the news

Deploy real-time analytics with StarTree for managed Apache Pinot on AWS
13 March 2025, Amazon Web Services

Microsoft Warns of Attackers Exploiting Misconfigured Apache Pinot Installations
6 May 2025, SecurityWeek

Misconfigured Apache Pinot instances under attack
7 May 2025, SC Media

Enabling Infinite Retention for Upsert Tables in Apache Pinot
31 October 2024, Uber

Apache Pinot Brings Real Time Analysis to Columnar Data
13 December 2024, The New Stack

provided by Google News

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13 May 2025, Amazon Web Services

MySQL at 30: Still important but no longer king
12 May 2025, InfoWorld

30 years of MySQL, the database that changed the world
6 May 2025, theregister.com

Continuent Releases Tungsten Dashboard v8, an Upgrade to Its Web-Based Interface for Managing and Monitoring MySQL Clusters
13 May 2025, PR Newswire

Build global MySQL apps using Cloudflare Workers and Hyperdrive
8 April 2025, The Cloudflare Blog

provided by Google News

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