DBMS > Apache Pinot vs. MySQL vs. SAP HANA

System Properties Comparison Apache Pinot vs. MySQL vs. SAP HANA

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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

In-memory, column based data store. Available as appliance or cloud service

Primary database model

Relational DBMS

Key/Value like access via memcached API

Relational DBMS

Secondary database models

Document store
Spatial DBMS

Document store
Graph DBMS

with SAP Hana, Enterprise Edition
Spatial DBMS

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

Score	0.84
Rank	#252	Overall
	#115	Relational DBMS

Score	1163.94
Rank	#2	Overall
	#2	Relational DBMS

Score	51.42
Rank	#23	Overall
	#16	Relational DBMS

Website

pinot.apache.org

www.mysql.com

www.sap.com/products/hana.html

Technical documentation

docs.pinot.apache.org

dev.mysql.com/doc

help.sap.com/hana

Developer

Apache Software Foundation and contributors

Oracle

since 2010, originally MySQL AB, then Sun

SAP

Initial release

2015

1995

2010

Current release

0.11.0, September 2022

8.0.33, April 2023

2.0 SPS06 (March 4, 2022), March 2022

License

Commercial or Open Source

Open Source

Apache Version 2.0

Open Source

GPL version 2. Commercial licenses with extended functionallity are available

commercial

Cloud-based only

Only available as a cloud service

also available as a cloud based service

DBaaS offerings (sponsored links)

Database as a Service

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

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Implementation language

Java

C and C++

Server operating systems

All OS with a Java JDK11 or higher

FreeBSD
Linux
OS X
Solaris
Windows

Appliance or cloud-service

Data scheme

yes

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

Secondary indexes

yes

SQL

Support of SQL

SQL-like query language

yes

with proprietary extensions

yes

APIs and other access methods

JDBC

ADO.NET
JDBC
ODBC
Proprietary native API

JDBC
ODBC

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

Server-side scripts

Stored procedures

yes

proprietary syntax

SQLScript, R

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

horizontal partitioning

horizontal partitioning, sharding with MySQL Cluster or MySQL Fabric

yes

Replication methods

Methods for redundantly storing data on multiple nodes

Multi-source replication
Source-replica replication

yes

MapReduce

Offers an API for user-defined Map/Reduce methods

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency

Foreign keys

Referential integrity

yes

not for MyISAM storage engine

yes

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

yes

More information provided by the system vendor

We invite representatives of system vendors to contact us for updating and extending the system information,
and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

Related products and services

3rd parties

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CData: Connect to Big Data & NoSQL through standard Drivers.
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Navicat for MySQL is the ideal solution for MySQL/MariaDB administration and development.
» more

CData: Connect to Big Data & NoSQL through standard Drivers.
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We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources

DB-Engines blog posts

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

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2 May 2017, Paul Andlinger

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Recent citations in the news

Apache Pinot Uncorks Real-Time Data for Ad-Tech Firm
9 March 2023, Datanami

Data analytics startup StarTree secures cash to expand its Apache Pinot-powered platform
29 August 2022, TechCrunch

Building Latency Sensitive User Facing Analytics via Apache Pinot
28 June 2021, InfoQ.com

Apache Pinot Makes It To The Organization's Top Shelf For Real-Time Big Data Analytics
3 August 2021, Phoronix

StarTree Keeps Real-Time Analytics Fresh with New Options for Pinot
24 March 2022, Datanami

provided by Google News

Oracle Support for MySQL 5.7 Ends Soon, Key Upgrades in 8.0
30 May 2023, The New Stack

Building and deploying MySQL Raft at Meta
16 May 2023, Facebook Engineering

If you don't brush and floss, you're gonna get an abscess – same with MySQL updates
11 May 2023, The Register

Are you planning ahead for the MySQL 5.7 end of life? [Q&A]
22 May 2023, BetaNews

The right MySQL persistence.xml example file for JPA 3 and ...
1 May 2023, TheServerSide.com

provided by Google News

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16 May 2023, e3zine.com

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11 May 2023, SAP News Center

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