DBMS > Amazon DynamoDB vs. Apache Pinot vs. DataFS

System Properties Comparison Amazon DynamoDB vs. Apache Pinot vs. DataFS

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Editorial information provided by DB-Engines

Name

Description

Hosted, scalable database service by Amazon with the data stored in Amazons cloud

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

All data is stored inside objects which are linked by so-called link attributes. Objects consist of classes which can be extended and de-extended at runtime. Graphs can be defined with a struct.

Primary database model

Document store
Key-value store

Relational DBMS

Object oriented DBMS

Secondary database models

Graph DBMS

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

Score	70.95
Rank	#17	Overall
	#3	Document stores
	#2	Key-value stores

Score	0.37
Rank	#273	Overall
	#126	Relational DBMS

Score	0.04
Rank	#359	Overall
	#16	Object oriented DBMS

Website

aws.amazon.com/dynamodb

pinot.apache.org

newdatabase.com

Technical documentation

docs.aws.amazon.com/dynamodb

docs.pinot.apache.org

dev.mobiland.com/Overview.xsp

Developer

Amazon

Apache Software Foundation and contributors

Mobiland AG

Initial release

2012

2015

2018

Current release

1.0.0, September 2023

1.1.263, October 2022

License

Commercial or Open Source

commercial

free tier for a limited amount of database operations

Open Source

Apache Version 2.0

commercial

Cloud-based only

Only available as a cloud service

yes

DBaaS offerings (sponsored links)

Database as a Service

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

Implementation language

Java

Server operating systems

hosted

All OS with a Java JDK11 or higher

Windows

Data scheme

schema-free

yes

Classes, Structs, and Lists are written in proprietary DataTypeDefinitionLanguage (.dtdl) and Objects consisting of those are written in proprietary DataAccessDefinitionLanguage (.dadl)

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

APIs and other access methods

RESTful HTTP API

JDBC

.NET Client API
Proprietary client DLL
WinRT client

Supported programming languages

.Net
ColdFusion
Erlang
Groovy
Java
JavaScript
Perl
PHP
Python
Ruby

Go
Java
Python

.Net
C
C#
C++
VB.Net

Server-side scripts

Stored procedures

Triggers

yes

by integration with AWS Lambda

no, except callback-events from server when changes happened

Partitioning methods

Methods for storing different data on different nodes

Sharding

horizontal partitioning

Proprietary Sharding system

Replication methods

Methods for redundantly storing data on multiple nodes

yes

MapReduce

Offers an API for user-defined Map/Reduce methods

may be implemented via Amazon Elastic MapReduce (Amazon EMR)

Consistency concepts

Methods to ensure consistency in a distributed system

Eventual Consistency
Immediate Consistency

can be specified for read operations

Immediate Consistency

Foreign keys

Referential integrity

yes

Transaction concepts

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

ACID

ACID across one or more tables within a single AWS account and region

ACID

Concurrency

Support for concurrent manipulation of data

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.

User concepts

Access control

Access rights for users and roles can be defined via the AWS Identity and Access Management (IAM)

Windows-Profile

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