ClickHouse comparison with Vertica – Why ClickHouse is recommended for real-time Analytics?

ClickHouse comparison with Vertica – Why ClickHouse is recommended for real-time Analytics?


ClickHouse and Vertica are both columnar databases that are optimized for analytical queries and real-time analytics. However, there are some key differences between the two that make ClickHouse better suited for real-time analytics:

  1. Performance: ClickHouse is designed to handle high-performance analytical queries with low latency, while Vertica’s performance is better suited for batch processing and data warehousing.
  2. Scalability: ClickHouse is designed to scale horizontally, while Vertica’s scalability is limited.
  3. Cost: ClickHouse is an open-source database, while Vertica requires commercial licenses.
  4. Data Model: ClickHouse has a more flexible data model and supports semi-structured data, while Vertica is more restrictive.
  5. SQL Support: ClickHouse supports a wide range of SQL functions, while Vertica has a limited set of SQL functions.
  6. Real-time streaming: ClickHouse is well-suited for real-time streaming data, while Vertica is not.
  7. Cloud-based Deployment: ClickHouse supports cloud-based deployment and is easily scalable, while Vertica’s support for cloud-based deployment is limited.
  8. Machine Learning and AI: ClickHouse has support for machine learning and AI, while Vertica’s support is limited.
  9. Data Governance and Security: ClickHouse has support for data governance and security, while Vertica’s support is limited.
  10. Data Integration and ETL: ClickHouse has support for data integration and ETL, while Vertica’s support is limited.

☛ Why do successful companies work with ChistDATA for ClickHouse Consultative Support(24*7) and Managed Services?

  • ChistaDATA provides full-stack ClickHouse Optimization. We deliver elite-class Consultative Support (24*7) and Managed Services for both on-premises ClickHouse infrastructure and Serverless/Cloud/ClickHouse DBaaS operations.
  • ChistaDATA Server for ClickHouse (and all tools essential for Data Ops. @ Scale) will be Open Source (100% GPL forever) and free. We are committed to helping corporations in building Open Source ColumnStore for high-performance Data Analytics.
  • Global Team available 24*7 for ClickHouse Consultative Support and Managed Services.
  • Our team has built and managed Data Ops. Infrastructure of some of the largest internet properties. We know very well the best practices for building optimal, scalable, highly reliable and secured Database Infrastructure @ scale.
  • Lean Team Culture: Startup-friendly and specialists in DevOps. and Automation for Database Systems Maintenance Operations.
  • Transparent pricing and no hidden charges – We have both fixed-priced and flexible subscription plans.
  • Based out of San Francisco Bay Area. But, we have global teams operating from 11 cities worldwide to deliver 24*7 Consultative Support and Managed Services for ClickHouse.

 

In summary, ClickHouse is better suited for real-time analytics because it is optimized for high-performance analytical queries, low latency, real-time streaming data and supports machine learning and AI. It is also open-source, and thus, cost-effective and easily scalable.

About Shiv Iyer 56 Articles
Open Source Database Systems Engineer with a deep understanding of Optimizer Internals, Performance Engineering, Scalability and Data SRE. Shiv currently is the Founder, Investor, Board Member and CEO of multiple Database Systems Infrastructure Operations companies in the Transaction Processing Computing and ColumnStores ecosystem. He is also a frequent speaker in open source software conferences globally.

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