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ClickHouse VS Segment

Compare ClickHouse VS Segment 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.

Segment logo Segment

We make customer data simple.
  • ClickHouse Landing page
    Landing page //
    2019-06-18
  • Segment Landing page
    Landing page //
    2023-10-08

ClickHouse

Website
clickhouse.com
Pricing URL
-
$ Details
Release Date
-
Edit details

Segment

Website
segment.com
Pricing URL
Official Segment Pricing
$ Details
-
Release Date
2011 January
Startup details
Country
United States
State
California
City
San Francisco
Founder(s)
Calvin French-Owen
Employees
500 - 999
Edit details

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.

Segment features and specs

  • Data Integration
    Segment allows you to integrate data from multiple sources such as websites, mobile apps, servers, cloud services, etc., enabling a comprehensive data ecosystem.
  • Ease of Use
    Segment provides a user-friendly interface and documentation, making it easy for technical and non-technical users to set up and manage data pipelines.
  • Real-time Data
    Segment offers real-time data processing, ensuring that your analytics and other data-driven operations are as up-to-date as possible.
  • Scalability
    Segment is designed to scale with your business needs, accommodating increasing data volumes and new data sources without extensive reconfiguration.
  • Security and Compliance
    Segment provides robust security features and compliance with regulations like GDPR and CCPA, ensuring your data is protected and handled responsibly.
  • Extensive Integrations
    Segment supports a wide range of integrations with popular tools and platforms like Google Analytics, Facebook Ads, AWS, and more, making it versatile for different business needs.

Possible disadvantages of Segment

  • Cost
    Segment can be expensive, particularly for small businesses or startups, as its pricing scales with the volume of data and number of integrations.
  • Complexity in Advanced Use
    For more advanced functionalities, there may be a steep learning curve. Advanced configurations and custom integrations can be complex to implement and manage.
  • Dependency on Third-party Integrations
    Segment's functionality relies heavily on third-party integrations. If any of these integrations face issues, it can disrupt your data flow.
  • Setup Time
    Initial setup and configuration of Segment can be time-consuming, particularly for businesses with complex data pipelines and numerous data sources.
  • Limited Customization
    While Segment offers a wide range of integrations, the ability to customize these integrations may be limited compared to building custom solutions in-house.

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

Analysis of Segment

Overall verdict

  • Yes, Segment is considered a good tool for businesses looking to unify their customer data across various platforms.

Why this product is good

  • Data Aggregation: Segment efficiently aggregates customer data from multiple sources, providing a unified view for businesses.
  • Integrations: It offers seamless integration with hundreds of different marketing, analytics, and data warehouse tools.
  • Ease of Use: Segment is known for its user-friendly interface and robust documentation, making it accessible even for non-technical users.
  • Scalability: Whether you're a startup or an enterprise, Segment is designed to handle data at scale.

Recommended for

  • Businesses looking to unify customer data across various platforms
  • Companies needing a central hub for analytics tools
  • Marketing teams wanting better data insights
  • Developers needing an efficient way to manage customer data tracking

ClickHouse videos

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Segment videos

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What is Segment? How to Implement and Use It.

More videos:

  • Review - What's In My Bag: Chrome Industries MXD Segment

Category Popularity

0-100% (relative to ClickHouse and Segment)

ClickHouse

Segment

Databases
100 100%
Databases
0% 0
Analytics
0 0%
Analytics
100% 100
Relational Databases
100 100%
Relational Databases
0% 0
Web Analytics
0 0%
Web Analytics
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 Segment

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...
Source: pradeepchhetri.xyz
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

Segment Reviews

7 best Mixpanel alternatives to understand your users
This makes Segment particularly useful for companies with complex data ecosystems, or those who need a unified data platform for a consistent customer view across different departments. If you're more about strong data unification rather than detailed behavioral analysis, Segment might be a good tool alternative to Mixpanel.
Source: www.hotjar.com
Top 10 Fivetran Alternatives - Listing the best ETL tools
Acquired by Twilio in 2020, Segment is a Customer Data Platform (CDP) that offers real-time data connectivity and efficient data. Segment's core focus is gathering customer data through event tracking. It has unique features that allow you to segment your customers, and create personas and audiences for better targeting.
Source: weld.app
Top ETL Tools For 2021...And The Case For Saying "No" To ETL
Segment’s API has native library sources for every language, and helps record customer data from sources such as websites, mobile, apps or servers. It helps optimize analytics by piping raw customer data into data warehouses for further exploration and advanced analysis.
Source: blog.panoply.io

Social recommendations and mentions

ClickHouse might be a bit more popular than Segment. We know about 57 links to it since March 2021 and only 45 links to Segment. 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 (57)

  • 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 / 18 days 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 / about 1 month 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 / about 2 months 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 / 2 months 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 / 5 months ago
View more

Segment mentions (45)

  • The Definitive Guide to Braze API
    Twilio Segment: Specializes in customer data collection with a more neutral stance toward destination platforms. Its API allows flexible data routing across your tech stack without being tied to specific engagement channels. - Source: dev.to / 2 months ago
  • API Analytics: A Strategic Toolkit for Optimization
    To collect these metrics effectively, you'll need specialized tools like Google Analytics, Mixpanel, Segment, or Amplitude. - Source: dev.to / 3 months ago
  • Unlocking API Potential: Behavioral Analytics for Enhanced User Experience
    Segment for event collection and routing. - Source: dev.to / 3 months ago
  • My 2024 Good Links List
    Segment – Customer data platform for tracking and analytics. - Source: dev.to / 6 months ago
  • Networking cant be easier than this
    And importantly the user data: like the signup, login events, message events back and forth between the user and AI, page visits etc are tracked with the help of Twilio segment. - Source: dev.to / 12 months ago
View more

What are some alternatives?

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

MySQL - The world's most popular open source database

Google Analytics - Improve your website to increase conversions, improve the user experience, and make more money using Google Analytics. Measure, understand and quantify engagement on your site with customized and in-depth reports.

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

Matomo - Matomo is an open-source web analytics platform

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

Mixpanel - Mixpanel is the most advanced analytics platform in the world for mobile & web.

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