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ClickHouse VS Apache Beam

Compare ClickHouse VS Apache Beam 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.

Apache Beam logo Apache Beam

Apache Beam provides an advanced unified programming model to implement batch and streaming data processing jobs.
  • ClickHouse Landing page
    Landing page //
    2019-06-18
  • Apache Beam Landing page
    Landing page //
    2022-03-31

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.

Apache Beam features and specs

  • Unified Model
    Apache Beam provides a unified programming model that simplifies the development of both batch and stream processing applications. This reduces the complexity in maintaining separate codebases for different types of data processing needs.
  • Portability
    The portability of Apache Beam allows developers to write their code once and run it on different execution engines like Apache Flink, Apache Spark, and Google Cloud Dataflow, offering flexibility in choosing the right runtime environment.
  • Rich SDKs
    Apache Beam offers rich SDKs for multiple languages including Java, Python, and Go, allowing a broader range of developers to leverage its capabilities without being restricted to a single programming language.
  • Windowing and Triggering
    It provides powerful abstractions for windowing and triggering, enabling developers to handle out-of-order data and late data arrivals efficiently, which is crucial for accurate stream processing.

Possible disadvantages of Apache Beam

  • Complexity
    Although Apache Beam simplifies certain aspects of data processing, its unified model and advanced features can introduce complexity, making it potentially challenging for developers unfamiliar with distributed data processing concepts.
  • Limited Language Support
    While Apache Beam supports Java, Python, and Go, the level of feature support and maturity can vary between these SDKs, which might limit adoption for developers using other programming languages.
  • Performance Overhead
    The abstraction layer provided by Beam to ensure portability might result in a performance overhead compared to using execution engines directly, potentially affecting performance-sensitive applications.
  • Evolving Ecosystem
    As an evolving framework, Apache Beam’s APIs and ecosystem components might change over time, requiring continuous learning and adaptation from developers to keep up with the latest updates and best practices.

ClickHouse videos

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Apache Beam videos

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How to Write Batch or Streaming Data Pipelines with Apache Beam in 15 mins with James Malone

More videos:

  • Review - Best practices towards a production-ready pipeline with Apache Beam
  • Review - Streaming data into Apache Beam with Kafka

Category Popularity

0-100% (relative to ClickHouse and Apache Beam)

ClickHouse

Apache Beam

Databases
100 100%
Databases
0% 0
Big Data
0 0%
Big Data
100% 100
Relational Databases
100 100%
Relational Databases
0% 0
Data Dashboard
0 0%
Data Dashboard
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 Apache Beam

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

Apache Beam Reviews

We have no reviews of Apache Beam yet.
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Social recommendations and mentions

Based on our record, ClickHouse should be more popular than Apache Beam. It has been mentiond 55 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 (55)

  • 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 / 14 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 / 28 days 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 / 3 months ago
  • Should You Ditch Spark for DuckDB or Polars?
    Clickhouse also has managed service (https://clickhouse.com/). - Source: Hacker News / 5 months ago
  • ClickHouse: The Key to Faster Insights
    ClickHouse is rapidly gaining traction for its unmatched speed and efficiency in processing big data. Cloudflare, for example, uses ClickHouse to process millions of rows per second and reduce memory usage by over four times, making it a key player in large-scale analytics. With its advanced features and real-time query performance, ClickHouse is becoming a go-to choice for companies handling massive datasets. In... - Source: dev.to / 5 months ago
View more

Apache Beam mentions (15)

  • A Quick Developer’s Guide to Effective Data Engineering
    Use distributed data processing frameworks like Apache Beam or Apache Spark. - Source: dev.to / 3 days ago
  • Ask HN: Does (or why does) anyone use MapReduce anymore?
    The "streaming systems" book answers your question and more: https://www.oreilly.com/library/view/streaming-systems/9781491983867/. It gives you a history of how batch processing started with MapReduce, and how attempts at scaling by moving towards streaming systems gave us all the subsequent frameworks (Spark, Beam, etc.). As for the framework called MapReduce, it isn't used much, but its descendant... - Source: Hacker News / over 1 year ago
  • How do Streaming Aggregation Pipelines work?
    Apache Beam is one of many tools that you can use. Source: over 1 year ago
  • Real Time Data Infra Stack
    Apache Beam: Streaming framework which can be run on several runner such as Apache Flink and GCP Dataflow. - Source: dev.to / over 2 years ago
  • Google Cloud Reference
    Apache Beam: Batch/streaming data processing 🔗Link. - Source: dev.to / over 2 years ago
View more

What are some alternatives?

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

MySQL - The world's most popular open source database

Google Cloud Dataflow - Google Cloud Dataflow is a fully-managed cloud service and programming model for batch and streaming big data processing.

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

Google BigQuery - A fully managed data warehouse for large-scale data analytics.

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

Qubole - Qubole delivers a self-service platform for big aata analytics built on Amazon, Microsoft and Google Clouds.

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