DBMS > Amazon DocumentDB vs. SiteWhere vs. Trino

System Properties Comparison Amazon DocumentDB vs. SiteWhere vs. Trino

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Editorial information provided by DB-Engines

Name

Description

Fast, scalable, highly available, and fully managed MongoDB-compatible database service

M2M integration platform for persisting/querying time series data

Fast distributed SQL query engine for big data analytics. Forked from Presto and originally named PrestoSQL

Primary database model

Document store

Time Series DBMS

Relational DBMS

Secondary database models

Document store
Key-value store
Spatial DBMS
Search engine
Time Series DBMS
Wide column store

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

Score	1.79
Rank	#125	Overall
	#23	Document stores

Score	0.07
Rank	#345	Overall
	#32	Time Series DBMS

Score	5.18
Rank	#60	Overall
	#34	Relational DBMS

Website

aws.amazon.com/documentdb

github.com/sitewhere/sitewhere

trino.io

Technical documentation

aws.amazon.com/documentdb/resources

sitewhere1.sitewhere.io/index.html

trino.io/broadcast
trino.io/docs/current

Developer

SiteWhere

Trino Software Foundation

Initial release

2019

2010

2012

2020 rebranded from PrestoSQL

License

Commercial or Open Source

commercial

Open Source

Common Public Attribution License Version 1.0

Open Source

Apache Version 2.0

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

Linux
OS X
Windows

Linux
macOS

for devlopment

Data scheme

schema-free

predefined 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

depending on connected data-source

SQL

Support of SQL

yes

APIs and other access methods

proprietary protocol using JSON (MongoDB compatible)

HTTP REST

JDBC
RESTful HTTP API
Trino CLI

Supported programming languages

Go
Java
JavaScript (Node.js)
PHP
Python

Go
Java
JavaScript (Node.js)
Python
R
Ruby

Server-side scripts

Stored procedures

yes, depending on connected data-source

Triggers

Partitioning methods

Methods for storing different data on different nodes

none

Sharding

based on HBase

depending on connected data-source

Replication methods

Methods for redundantly storing data on multiple nodes

Multi-availability zones for high availability, asynchronous replication for up to 15 read replicas

selectable replication factor

based on HBase

depending on connected data-source

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

Immediate Consistency

depending on connected data-source

Foreign keys

Referential integrity

typically not used, however similar functionality with DBRef possible

Transaction concepts

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

Atomic single-document operations

depending on connected data-source

Concurrency

Support for concurrent manipulation of data

yes

Durability

Support for making data persistent

yes

depending on connected data-source

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

Users with fine-grained authorization concept

SQL standard access control

More information provided by the system vendor

News

73: Wrapping Trino packages with a bow
9 April 2025

Core Principles and Design Practices of OLAP Engines
27 March 2025

72: Keeping the lake clean
17 March 2025

Twenty four
3 March 2025

71: Fake it real good
27 February 2025

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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources

Recent citations in the news

Powering a Generative AI Platform Using Amazon DocumentDB with tresle.ai | Amazon Web Services
18 April 2025, Amazon Web Services

Amazon DocumentDB Quick Start: Zero Setup with AWS CloudShell
14 March 2025, Amazon Web Services

Use IAM authentication with Amazon DocumentDB (with MongoDB compatibility)
17 October 2024, Amazon Web Services

Optimizing costs on Amazon DocumentDB using event-driven architecture and the AWS EventBridge Terraform module
23 August 2024, Amazon Web Services

Build containerized applications for Amazon DocumentDB that run on Amazon ECS on AWS Fargate
23 October 2024, Amazon Web Services

provided by Google News

SiteWhere: An open platform for connected devices
11 July 2017, Open Source For You

Top Open-Source Tools for IoT Development in 2024
5 September 2024, Analytics Insight

Fig. 7. CPU Utilization of REST and MQTT APIs with a rate 100 msg/sec.
14 October 2019, ResearchGate

Ten Popular IoT Platforms You Should be Aware of
27 March 2023, Open Source For You

11 Best Open source IoT Platforms To Develop Smart Projects
9 March 2023, H2S Media

provided by Google News

The Perfect AI Storage: Trino From Facebook And Iceberg From Netflix?
30 April 2024, The Next Platform

How to Deploy MinIO and Trino with Kubernetes
23 May 2024, HackerNoon

A look at Presto, Trino SQL query engines
9 August 2022, TechTarget

Query big data with resilience using Trino in Amazon EMR with Amazon EC2 Spot Instances for less cost
4 October 2023, Amazon Web Services (AWS)

Trino turns 10: Starburst celebrates a decade of its open source query engine
11 August 2022, venturebeat.com

provided by Google News

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