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Tableau VS ClickHouse

Compare Tableau VS ClickHouse and see what are their differences

Draxlr
Turn SQL Data into Decisions. Build professional dashboards and data visualizations without technical expertise. Easily embed analytics anywhere, receive automated alerts, and discover AI-powered insights all through a straightforward interface. featured
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Tableau logo Tableau

Tableau can help anyone see and understand their data. Connect to almost any database, drag and drop to create visualizations, and share with a click.

ClickHouse logo ClickHouse

ClickHouse is an open-source column-oriented database management system that allows generating analytical data reports in real time.
  • Tableau Landing page
    Landing page //
    2023-10-18
  • ClickHouse Landing page
    Landing page //
    2019-06-18

Tableau features and specs

  • User-Friendly Interface
    Tableau offers an intuitive drag-and-drop interface that allows users to create visualizations and dashboards easily, even without extensive technical knowledge.
  • Data Connectivity
    Tableau supports a wide range of data sources including databases, spreadsheets, cloud services, and more, allowing for flexible data integration.
  • Advanced Analytics
    Advanced analytical capabilities, including real-time analytics, trend analysis, and predictive analytics, help users gain deeper insights from their data.
  • Community and Support
    A large, active user community provides a wealth of resources including forums, tutorials, and user groups for support and knowledge sharing.
  • Visualization Quality
    Tableau offers high-quality visualizations with customizable options that make it easier to create compelling reports and dashboards.

Possible disadvantages of Tableau

  • Cost
    Tableau can be expensive, especially for small businesses or individual users, with its various licensing and subscription fees.
  • Performance Issues
    For very large datasets or complex calculations, Tableau can experience performance slowdowns, affecting the efficiency and user experience.
  • Steep Learning Curve for Advanced Features
    While basic features are easy to use, mastering advanced functionalities can require a significant learning curve and technical expertise.
  • Customization Limitations
    Although Tableau is highly customizable, some users find it lacks flexibility when it comes to very specific or unique customization requirements.
  • Export Limitations
    Exporting visualizations and dashboards to formats like PDF or PowerPoint can sometimes be restrictive, limiting the ways reports are shared.

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.

Analysis of Tableau

Overall verdict

  • Yes, Tableau is considered a good tool for data visualization and business intelligence. It is praised for its intuitive design, strong community support, and continuous updates that bring new features and improvements. However, its cost can be a consideration for small businesses or individuals, and there may be a learning curve for more advanced functionalities.

Why this product is good

  • Tableau is highly regarded for its powerful data visualization capabilities. It allows users to create interactive and shareable dashboards that deliver insights quickly. The platform supports a wide range of data sources and offers a user-friendly interface that is accessible to both novice and experienced users. Additionally, Tableau's robust analytics features and ability to handle large datasets make it a favorite among data professionals.

Recommended for

    Tableau is recommended for data analysts, business intelligence professionals, and organizations that need to transform complex data into actionable insights. It is also suited for industries that rely on data-driven decision-making, such as finance, healthcare, and marketing, as well as any company looking to improve its data visualization capabilities.

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

Tableau videos

+ Add

Power BI vs Tableau 🔥 5 Factors to Choose a Winner

More videos:

  • Review - What is Tableau Desktop? | A Tableau Desktop Overview
  • Demo - Tableau Software Demo

ClickHouse videos

No ClickHouse videos yet. You could help us improve this page by suggesting one.

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Category Popularity

0-100% (relative to Tableau and ClickHouse)

Tableau

ClickHouse

Data Dashboard
100 100%
Data Dashboard
0% 0
Databases
0 0%
Databases
100% 100
Data Visualization
100 100%
Data Visualization
0% 0
Relational Databases
0 0%
Relational Databases
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 Tableau and ClickHouse

Tableau Reviews

Explore 7 Tableau Alternatives for Data Visualization and Analysis
Welcome to our complete reference, Tableau Alternatives for Data Visualization and Analysis. In this fast-changing digital age, data visualization and analysis have become critical for making informed decisions and strategies. Tableau is a well-known product that has had a considerable impact in this sector. Its user-friendly interface and powerful capabilities have made it...
Source: www.draxlr.com
Explore 6 Metabase Alternatives for Data Visualization and Analysis
To find the best Metabase alternative for your business, start by listing your specific requirements, such as customer support, data integrations, visualization options, user access controls, and budget. Compare these needs with the features of other BI tools like Draxlr, Tableau, Power BI, Looker, or Holistics. Once you've identified a few suitable options, take advantage...
Source: www.draxlr.com
5 best Looker alternatives
Tableau: Tableau is the earliest BI tools built to solve data problems, which means it has a lot of community support for all your queries and can lack what the new-age tools have and are building.
Source: www.draxlr.com
10 Best Alternatives to Looker in 2024
Tableau: Renowned for its powerful visualization capabilities, Tableau enables users to create highly intuitive and interactive dashboards. Favored for its user-friendly interface, Tableau effectively handles large datasets, making it a top choice for data visualization.
Source: www.sigmacomputing.com
6 Best Looker alternatives
Pricing: Looker is typically more expensive than Tableau – but if you’re a growing company with increasing user numbers, Tableau can also get pricey.
Source: trevor.io

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

Social recommendations and mentions

Based on our record, ClickHouse should be more popular than Tableau. It has been mentiond 57 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.

Tableau mentions (8)

  • Tableau Certified Data Analyst Exam Readiness
    Hey everyone, I'm interested in taking the Tableau Certified Data Analyst Exam Readiness course through tableau.com to prepare and get Tableau certified. I had some questions about the course, such as are the videos pre recorded or in person, do you have access to the material once the 90 days expire, and I was also wondering if anyone had input/advice for this course. Thanks! Source: almost 2 years ago
  • Where to publish knowledge sharing on Tableau reverse engineering and data dictionary generation?
    Could anyone recommend what media I should approach to publish my work (internet or print). I could try the Tableau forum in tableau.com but it's not very active + Tableau may be unappreciative as my work overlaps with their (pricey) data management solution. Plus it needs to be some high visibility / reputable media to count for my career development. Any recommendations welcome thanks!!! Source: over 2 years ago
  • I have huge loads of data in Redshift. How can I make this available to end-users after performing few procs and queries? It should be available online.
    Tableau public: tableau.com. Big player but your data will be made public and not really user-friendly data model. Source: about 3 years ago
  • What tips do you have on evaluating various BI tools for business needs? What are the essential criteria's you would include when evaluating different tools? The goal is to have an unbiased, objective approach.
    For example, we have a project to compare Tableau, Power BI, and InetSoft. The need for strong pagination-based email delivery eliminated Tableau. AWS's Linux instance is the targeted platform which makes Power BI less than ideal. Source: over 3 years ago
  • Anyone go into Data Analytics after this program?
    I just started learning Tableau because our dept is transitioning into Tableau from Power BI. Since I already have years of experience with Power BI I just went over their tutorials from tableau.com and got onboarded pretty quick. I'm still learning it but I'm at least able to build out reports and get things done. Its not too difficult to pickup one BI tool when you have experience with another. Source: over 3 years ago
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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 / about 10 hours 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 / 16 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 / about 1 month 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 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 / 4 months ago
View more

What are some alternatives?

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

Microsoft Power BI - BI visualization and reporting for desktop, web or mobile

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

Looker - Looker makes it easy for analysts to create and curate custom data experiences—so everyone in the business can explore the data that matters to them, in the context that makes it truly meaningful.

MySQL - The world's most popular open source database

Sisense - The BI & Dashboard Software to handle multiple, large data sets.

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

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