Software Alternatives, Accelerators & Startups

ClickHouse VS Amazon S3

Compare ClickHouse VS Amazon S3 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.

Amazon S3 logo Amazon S3

Amazon S3 is an object storage where users can store data from their business on a safe, cloud-based platform. Amazon S3 operates in 54 availability zones within 18 graphic regions and 1 local region.
  • ClickHouse Landing page
    Landing page //
    2019-06-18
  • Amazon S3 Landing page
    Landing page //
    2021-11-01

Amazon S3 (Amazon Simple Storage Service) is the storage platform by Amazon Web Services (AWS) that provides an object storage with high availability, low latency and high durability. S3 can store any type of object and can serve as storage for internet applications, backups, disaster recovery, data archives, big data sets and multimedia.

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.

Amazon S3 features and specs

  • Scalability
    Amazon S3 automatically scales storage resources to meet user demands, enabling businesses to store a virtually unlimited amount of data without worrying about capacity constraints.
  • Durability
    Amazon S3 is designed for 99.999999999% (11 9's) durability, ensuring that your data is highly protected against loss and corruption.
  • Security
    Amazon S3 offers robust security features, including encryption at rest and in transit, fine-grained access controls, and integration with AWS Identity and Access Management (IAM).
  • Integrations
    Amazon S3 integrates seamlessly with other AWS services such as EC2, Lambda, and RDS, as well as third-party applications, facilitating a cohesive cloud environment.
  • Cost-Effectiveness
    Amazon S3 offers a range of storage classes, allowing users to optimize costs based on their access patterns, from frequently accessed data to long-term archival storage.
  • Global Availability
    Amazon S3 is available in multiple regions worldwide, providing low latency and high availability for users around the globe.

Possible disadvantages of Amazon S3

  • Complexity
    The wide array of features and configurations in Amazon S3 can be overwhelming for beginners, requiring a steep learning curve and careful planning.
  • Cost Predictability
    Although cost-effective, the pricing model of Amazon S3 can be complex due to various factors such as storage volume, data transfer rates, and request frequency, leading to unpredictable costs if not monitored closely.
  • Performance Variation
    While generally offering high performance, the speed of data retrieval from Amazon S3 can vary based on factors like object size, storage class, and region, potentially affecting time-sensitive applications.
  • Limited Migration Tools
    Although Amazon provides data migration services, some users find the migration tools and processes cumbersome, especially when moving large volumes of data from other storage solutions.
  • Vendor Lock-In
    Relying heavily on Amazon S3 and other AWS services can make it difficult to switch providers or develop a multi-cloud strategy, leading to potential vendor lock-in concerns.

Analysis of ClickHouse

Overall verdict

  • ClickHouse is a powerful and capable columnar DBMS that offers excellent performance for analytical workloads. Its open-source nature allows for flexibility and community-driven improvements, making it a strong option for organizations needing a scalable analytics platform.

Why this product is good

  • ClickHouse is considered a good choice for many use cases due to its high performance in processing large volumes of data and its efficiency in executing complex analytical queries. It is designed to work well with large datasets and provides real-time query capabilities, making it ideal for applications like business intelligence, web analytics, and IoT.

Recommended for

  • Large-scale data analysis
  • Real-time analytics dashboards
  • Businesses needing high-speed query performance
  • Web analytics platforms
  • IoT data processing
  • Financial industry for quick data aggregation

ClickHouse videos

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Amazon S3 videos

Introduction to Amazon S3

More videos:

  • Review - Getting Started with Amazon S3 - AWS Online Tech Talks
  • Review - Amazon S3 Review: Amazon S3
  • Review - Amazon S3 Glacier Cloud Storage: What You Need to Know
  • Review - Wasabi vs. Amazon S3

Category Popularity

0-100% (relative to ClickHouse and Amazon S3)
Databases
100 100%
0% 0
Cloud Computing
0 0%
100% 100
Relational Databases
100 100%
0% 0
Cloud Hosting
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 Amazon S3

ClickHouse Reviews

Rockset, ClickHouse, Apache Druid, or Apache Pinot? Which is the best database for customer-facing analytics?
โ€ClickHouse is an open-source, column-oriented, distributed, and OLAP database thatโ€™s very easy to set up and maintain. โ€œBecause itโ€™s columnar, itโ€™s the best architectural approach for aggregations and for โ€˜sort byโ€™ on more than one column. It also means that group byโ€™s are very fast. Itโ€™s distributed, replication is asynchronous, and itโ€™s OLAPโ€”which means itโ€™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 itโ€™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

Amazon S3 Reviews

Top 7 Firebase Alternatives for App Development in 2024
Amazon S3 is suitable for applications of any size requiring reliable and scalable storage.
Source: signoz.io
Best Top 12 MEGA Alternatives in 2024
Amazon Simple Storage Service (Amazon S3) is an object storage service with industry-leading scalability, data availability, security, and performance. The service is particularly suitable for enterprise users to manage collect, store, protect, back-up, retrieve, and analyze data.
7 Best Amazon S3 Alternatives & Competitors in 2024
Amazon S3 is short for Amazon Simple Storage Service, a popular web hosting company among developers that also offers object storage service.
Top 10 Netlify Alternatives
Amazon S3 is referred to as Amazon Simple Storage Service. It is basically a cloud storage service that was initially released in 2006. This product of Amazon Web Services (AWS) handles big data analytics, provides online data backups and helps in web-scale computing.
What are the alternatives to S3?
Sometimes Amazon S3 might not be serving you as you need and need some features or want to move out of the big 3 providers due to charges of which youโ€™re not using much of their services. There are many alternatives to object storage that you can use at a far lower cost than what you pay on Amazon S3. And storing data traditionally can become complicated sometimes, whereby...
Source: www.w6d.io

Social recommendations and mentions

Based on our record, Amazon S3 should be more popular than ClickHouse. It has been mentiond 203 times since March 2021. 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 (60)

  • Setting up ClickHouse on macOS and Testing with Node.js
    ClickHouse is an open-source columnar database built for high-performance analytical queries. This guide shows how I installed ClickHouse on macOS, ran it in the background using a lightweight nohup setup that stores logs and PID in hidden user folders, and tested it with a minimal Node.js + TypeScript example using @clickhouse/client. - Source: dev.to / 15 days ago
  • From Go to Rust: Supercharging Our ClickHouse UDFs with Alloy
    At Agnostic, we build open-source infrastructure for collaborative blockchain data platforms. One of our flagship tools is clickhouse-evm, a suite of high-performance User Defined Functions (UDFs) that brings native Ethereum decoding and querying capabilities directly into ClickHouse. - Source: dev.to / 3 months ago
  • ๐Ÿง  From Hive and Elastic to ClickHouse: What Surprised Me
    Over the past few weeks, Iโ€™ve been diving into ClickHouse โ€” and itโ€™s been full of surprises. - Source: dev.to / 3 months ago
  • Cross-Compiling Haskell under NixOS with Docker
    I attended the AWS Summit 2025 in Singapore. I enjoyed the event. There were booths from various companies which I found interesting, such as GitLab and ClickHouse. More importantly, I got to meet very interesting people. - Source: dev.to / 4 months ago
  • 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 / 5 months ago
View more

Amazon S3 mentions (203)

  • Building an Event Resources Website with AWS CDK and Amazon Q Developer CLI
    The Event Resources Website project help me solve common event management challenges. This customizable static website runs on Amazon S3 and Amazon CloudFront, providing a professional platform to share event resources with attendees. - Source: dev.to / 24 days ago
  • Step-by-Step Guide to Extracting Text & Data with AWS Textract
    AWS Textract stands out because of its ability to: Detect printed text and handwriting accurately. Recognize rows, columns, and tables without losing structure. Extract form data through key-value pair identification. Scale across millions of documents with consistency. Integrate smoothly with services like Amazon S3, Lambda, and Comprehend. These features give businesses greater flexibility and reduce... - Source: dev.to / about 1 month ago
  • Videos REST API with API Gateway, Lambda, Aurora Serverless - FakeTube #5
    So far our high level architecture diagram wasn't very impressive - we only used AWS Amplify service to host our web application. Of course there are many services under the hood like Route 53, CloudFront, Certificate Manager, Lambda and S3, but Amplify provides level of abstraction, so that we don't have to think about it. - Source: dev.to / 3 months ago
  • Optimizing AWS Costs for AI Development in 2025
    Storage: Large datasets for training and inference require massive storage. We're talking about S3 buckets, EBS volumes, and sometimes even EFS or FSx for Lustre for high-performance needs. - Source: dev.to / about 2 months ago
  • Building My Cloud Resume: A Step-by-Step Journey
    To host the HTML resume on AWS, I turned to Amazon S3. S3 is an ideal service for hosting static websites, as it provides high availability, scalability, and security. I created a new S3 bucket, configured it to host a website, and uploaded my HTML resume files to this bucket. - Source: dev.to / 4 months ago
View more

What are some alternatives?

When comparing ClickHouse and Amazon S3, you can also consider the following products

MySQL - The world's most popular open source database

AWS Lambda - Automatic, event-driven compute service

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

Amazon AWS - Amazon Web Services offers reliable, scalable, and inexpensive cloud computing services. Free to join, pay only for what you use.

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

Google Cloud Storage - Google Cloud Storage offers developers and IT organizations durable and highly available object storage.