DBMS > Apache Pinot vs. EventStoreDB vs. YTsaurus

System Properties Comparison Apache Pinot vs. EventStoreDB vs. YTsaurus

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Editorial information provided by DB-Engines

Name

Description

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

Industrial-strength, open-source database solution built from the ground up for event sourcing.

YTsaurus is an open source platform for distributed storage and processing.

Primary database model

Relational DBMS

Event Store

Document store
Key-value store

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

Score	0.40
Rank	#270	Overall
	#125	Relational DBMS

Score	1.10
Rank	#179	Overall
	#1	Event Stores

Score	0.11
Rank	#340	Overall
	#45	Document stores
	#50	Key-value stores

Website

pinot.apache.org

www.eventstore.com

ytsaurus.tech

Technical documentation

docs.pinot.apache.org

developers.eventstore.com

ytsaurus.tech/docs/en

Developer

Apache Software Foundation and contributors

Event Store Limited

Yandex

Initial release

2015

2012

2023

Current release

1.0.0, September 2023

21.2, February 2021

License

Commercial or Open Source

Open Source

Apache Version 2.0

Open Source

Apache License, Version 2.0

Cloud-based only

Only available as a cloud service

DBaaS offerings (sponsored links)

Database as a Service

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Implementation language

Java

C++

Server operating systems

All OS with a Java JDK11 or higher

Linux
Windows

Ubuntu

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.

SQL

Support of SQL

SQL-like query language

YQL, an SQL-based language, is supported

APIs and other access methods

JDBC

Supported programming languages

Go
Java
Python

C++
Go
Java
JavaScript
Python

Partitioning methods

Methods for storing different data on different nodes

horizontal partitioning

Sharding

Replication methods

Methods for redundantly storing data on multiple nodes

yes

MapReduce

Offers an API for user-defined Map/Reduce methods

yes

Transaction concepts

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

ACID

Concurrency

Support for concurrent manipulation of data

yes

Durability

Support for making data persistent

yes

User concepts

Access control

Access Control Lists

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