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ClickHouse VS Azure IoT Hub

Compare ClickHouse VS Azure IoT Hub and see what are their differences

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ClickHouse logo ClickHouse

ClickHouse is an open-source column-oriented database management system that allows generating analytical data reports in real time.

Azure IoT Hub logo Azure IoT Hub

Manage billions of IoT devices with Azure IoT Hub, a cloud platform that lets you easily connect, monitor, provision, and configure IoT devices.
  • ClickHouse Landing page
    Landing page //
    2019-06-18
  • Azure IoT Hub Landing page
    Landing page //
    2023-03-25

ClickHouse features and specs

  • High Performance
    ClickHouse is designed for fast processing of analytical queries, often performing significantly faster than traditional databases due to its columnar storage format and optimized query execution.
  • Scalability
    The system is built to handle extensive datasets by scaling horizontally through distributed cluster configurations, making it suitable for big data applications.
  • Real-time Data Ingestion
    ClickHouse supports real-time data ingestion and can immediately reflect changes in query results, which is valuable for use cases requiring instant data processing and analysis.
  • Cost Efficiency
    The open-source nature of ClickHouse makes it a cost-effective option, especially when compared to other commercial data warehouses.
  • SQL Compatibility
    ClickHouse features strong SQL support, which makes it easier for individuals with SQL expertise to transition and use the platform effectively.
  • Compression
    ClickHouse employs advanced compression algorithms that reduce storage requirements and improve query performance.

Possible disadvantages of ClickHouse

  • Complexity in Setup
    Setting up and managing ClickHouse, particularly in a distributed cluster environment, can be complex and require a higher level of expertise compared to some other database systems.
  • Limited Transaction Support
    ClickHouse is optimized for read-heavy operations and analytics but does not support full ACID transactions, which limits its use for certain transactional use cases.
  • Ecosystem and Tooling
    While the ecosystem is growing, ClickHouse still has fewer tools and third-party integrations compared to more mature databases, which can limit its utility in some environments.
  • Resource Intensive
    Running ClickHouse, especially for large datasets, can be resource-intensive, requiring significant memory and CPU resources.
  • Limited User Management
    The platform has relatively basic user management and security features, which may not meet the needs of enterprises with strict compliance and governance requirements.

Azure IoT Hub features and specs

  • Scalability
    Azure IoT Hub can handle millions of simultaneously connected devices, making it highly scalable for large IoT deployments.
  • Integration with Microsoft Azure
    It integrates seamlessly with other Azure services like Azure Stream Analytics, Azure Machine Learning, and Azure Blob Storage, providing a comprehensive solution for IoT applications.
  • Security Features
    Azure IoT Hub offers robust security features, including device authentication, per-device identity, and secure data transfer, ensuring a high level of security for IoT solutions.
  • Bi-Directional Communication
    Supports bi-directional communication between devices and the cloud, allowing for immediate feedback and control.
  • Device Management
    Provides extensive device management capabilities, such as provisioning, configuration, and firmware updates, which simplifies managing a large number of devices.
  • Real-Time Data Ingestion
    Allows for real-time data ingestion and processing, which is critical for time-sensitive IoT applications.

Possible disadvantages of Azure IoT Hub

  • Complexity
    The extensive set of features and customizations can make the initial setup and onboarding process complex and time-consuming.
  • Cost
    Can be costly for small-scale deployments, especially if you are leveraging multiple Azure services in conjunction with IoT Hub.
  • Learning Curve
    Requires a steep learning curve for developers who are not already familiar with Microsoft Azure and its ecosystem.
  • Dependence on Other Azure Services
    While integration with other Azure services is a pro, it can also be a con as it may necessitate additional services and expenses.
  • Geographical Limitations
    Some services and features may not be available in all geographical regions, which could limit functionality based on location.
  • Latency
    While generally low, latency could be an issue depending on the geographical distance between the IoT devices and the Azure data centers.

ClickHouse videos

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Azure IoT Hub videos

Azure Friday | Azure IoT Hub

More videos:

  • Review - How Does Azure IoT Hub Work?

Category Popularity

0-100% (relative to ClickHouse and Azure IoT Hub)
Databases
100 100%
0% 0
IoT Platform
0 0%
100% 100
Relational Databases
100 100%
0% 0
Data Dashboard
0 0%
100% 100

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare ClickHouse and Azure IoT Hub

ClickHouse Reviews

Rockset, ClickHouse, Apache Druid, or Apache Pinot? Which is the best database for customer-facing analytics?
ClickHouse is an open-source, column-oriented, distributed, and OLAP database that’s very easy to set up and maintain. “Because it’s columnar, it’s the best architectural approach for aggregations and for ‘sort by’ on more than one column. It also means that group by’s are very fast. It’s distributed, replication is asynchronous, and it’s OLAP—which means it’s meant for...
Source: embeddable.com
ClickHouse vs TimescaleDB
Recently, TimescaleDB published a blog comparing ClickHouse & TimescaleDB using timescale/tsbs, a timeseries benchmarking framework. I have some experience with PostgreSQL and ClickHouse but never got the chance to play with TimescaleDB. Some of the claims about TimescaleDB made in their post are very bold, that made me even more curious. I thought it’d be a great...
20+ MongoDB Alternatives You Should Know About
ClickHouse may be a great contender for moving analytical workloads from MongoDB. Much faster, and with JSON support and Nested Data Structures, it can be great choice for storing and analyzing document data.
Source: www.percona.com

Azure IoT Hub Reviews

We have no reviews of Azure IoT Hub yet.
Be the first one to post

Social recommendations and mentions

Based on our record, ClickHouse seems to be a lot more popular than Azure IoT Hub. While we know about 56 links to ClickHouse, we've tracked only 3 mentions of Azure IoT Hub. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

ClickHouse mentions (56)

  • How to Build a Streaming Deduplication Pipeline with Kafka, GlassFlow, and ClickHouse
    ClickHouse: A fast columnar database. It will be our final destination for clean data. And, for simplicity in this tutorial, we'll cleverly use it as our "memory" or state store to remember which events we've already seen recently. - Source: dev.to / 4 days ago
  • Why You Shouldn’t Invest In Vector Databases?
    In fact, even in the absence of these commercial databases, users can effortlessly install PostgreSQL and leverage its built-in pgvector functionality for vector search. PostgreSQL stands as the benchmark in the realm of open-source databases, offering comprehensive support across various domains of database management. It excels in transaction processing (e.g., CockroachDB), online analytics (e.g., DuckDB),... - Source: dev.to / 24 days ago
  • Twitter's 600-Tweet Daily Limit Crisis: Soaring GCP Costs and the Open Source Fix Elon Musk Ignored
    ClickHouse: ClickHouse is an open-source columnar database management system designed for high-performance analytics. It excels at processing large volumes of data and offers real-time querying capabilities. It’s probably the world’s fastest real-time data analytics system: ClickHouse Benchmark. - Source: dev.to / about 1 month ago
  • DeepSeek's Data Breach: A Wake-Up Call for AI Data Security
    Further investigation revealed that these ports provided direct access to a publicly exposed ClickHouse database—entirely unprotected and requiring no authentication. This discovery raised immediate security concerns, as ClickHouse is an open-source, columnar database management system designed for high-speed analytical queries on massive datasets. Originally developed by Yandex, ClickHouse is widely used for... - Source: dev.to / 4 months ago
  • Should You Ditch Spark for DuckDB or Polars?
    Clickhouse also has managed service (https://clickhouse.com/). - Source: Hacker News / 5 months ago
View more

Azure IoT Hub mentions (3)

  • Looking for Microsoft Azure based alternative to Adafruit IO Feeds
    Sure MS has a product. It's more expensive and harder to use, though...Azure IOT hub - https://azure.microsoft.com/en-us/products/iot-hub. Source: almost 2 years ago
  • Getting Started With Azure IoT Hub
    Azure IoT Hub is a managed cloud service which provides bi-directional communication between the cloud and IoT devices. It is a platform as a service for building IoT solutions. Being an azure offering, it has security and scalability built-in as well as making it easy to integrate with other Azure services. - Source: dev.to / about 3 years ago
  • How to get the EK and Registration ID from a TPM 2.0 module on Raspian
    I am currently working on an IoT Project for my Bachelor's thesis. The goal is to gather data from an existing machine and send it to an Azure cloud via AMQP. To do this I have set up an IoT Hub and will be using the Azure IoT Edge runntime to connect and send the Data. For initial development, I have authenticated my devices to the cloud using symmetric keys generated by the IoT hub. Now I want to switch to... Source: over 3 years ago

What are some alternatives?

When comparing ClickHouse and Azure IoT Hub, you can also consider the following products

MySQL - The world's most popular open source database

ThingSpeak - Open source data platform for the Internet of Things. ThingSpeak Features

PostgreSQL - PostgreSQL is a powerful, open source object-relational database system.

AWS IoT - Easily and securely connect devices to the cloud.

Apache Doris - Apache Doris is an open-source real-time data warehouse for big data analytics.

Particle.io - Particle is an IoT platform enabling businesses to build, connect and manage their connected solutions.