DBMS > Apache Pinot vs. H2

System Properties Comparison Apache Pinot vs. H2

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Editorial information provided by DB-Engines

Name

Description

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

Full-featured RDBMS with a small footprint, either embedded into a Java application or used as a database server.

Primary database model

Relational DBMS

Secondary database models

Spatial DBMS

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

Score	0.35
Rank	#271	Overall
	#124	Relational DBMS

Score	6.95
Rank	#50	Overall
	#31	Relational DBMS

Website

pinot.apache.org

www.h2database.com

Technical documentation

docs.pinot.apache.org

www.h2database.com/html/main.html

Developer

Apache Software Foundation and contributors

Thomas Mueller

Initial release

2015

2005

Current release

1.0.0, September 2023

2.2.220, July 2023

License

Commercial or Open Source

Open Source

Apache Version 2.0

Open Source

dual-licence (Mozilla public license, Eclipse public license)

Cloud-based only

Only available as a cloud service

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Database as a Service

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Implementation language

Java

Server operating systems

All OS with a Java JDK11 or higher

All OS with a Java VM

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.

Secondary indexes

yes

SQL

Support of SQL

SQL-like query language

yes

APIs and other access methods

JDBC

JDBC
ODBC

Supported programming languages

Go
Java
Python

Java

Server-side scripts

Stored procedures

Java Stored Procedures and User-Defined Functions

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

horizontal partitioning

none

Replication methods

Methods for redundantly storing data on multiple nodes

With clustering: 2 database servers on different computers operate on identical copies of a database

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

Transaction concepts

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

ACID

Concurrency

Support for concurrent manipulation of data

yes, multi-version concurrency control (MVCC)

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

fine grained access rights according to SQL-standard

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More resources

Recent citations in the news

Build a real-time analytics solution with Apache Pinot on AWS
6 August 2024, AWS Blog

How to connect your OLTP DB to Apache Pinot for Realtime Analytics
22 January 2025, substack.com

Serving Millions of Apache Pinot™ Queries with Neutrino
11 December 2024, Uber

StarTree eyes observability market with Apache Pinot-based real-time engine
27 September 2024, SiliconANGLE News

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

provided by Google News

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