

MariaDB and ClickHouse compete in the database technology category. Based on feature evaluations, ClickHouse appears to have the upper hand due to its speed and scalability advantages.
Features: MariaDB is praised for its open-source nature, enterprise integration, and high scalability, making it a go-to solution for large databases. It offers advanced functionalities like Connect Engine and ColumnStore. ClickHouse provides exceptional speed and scalability, especially for large datasets, supported by features like MergeTree engine and Materialized Views, making it ideal for analytics.
Room for Improvement: MariaDB needs to improve its integration, scalability, and replication processes and enhance support for materialized views. Documentation completeness is also an issue. ClickHouse could benefit from enhanced documentation, more support for write-intensive workloads, and improved clustering and real-time deduplication capabilities.
Ease of Deployment and Customer Service: MariaDB is widely deployed in on-premises and hybrid cloud environments with community-driven support often being the primary resource for users. ClickHouse supports diverse deployment models, including private and hybrid cloud setups. Although ClickHouse provides strong technical support, users sometimes face complexities during initial configurations.
Pricing and ROI: Both MariaDB and ClickHouse offer community versions that are free to use, favorably impacting cost-effectiveness. MariaDB is particularly cost-efficient for budget-constrained projects, offering significant ROI by cutting down licensing costs. ClickHouse offers competitive cloud pricing and is commended for its speed-driven cost reduction in analytics. Both products ensure a favorable return on investment, although MariaDB's community support optimizes cost savings, while ClickHouse's performance boosts ROI for data-intensive tasks.
I estimate we save four to five hours per person per week due to this efficiency, translating to around 20 to 25 hours saved monthly for each individual.
We could reduce the amount of employees needed when we migrated to ClickHouse Cloud.
With ClickHouse, we didn't need to spend much on resources, cutting costs by around 25 to 30%.
Since it handles vector storage and similarity searches natively alongside your relational data, I can seamlessly combine precise SQL filters with vector queries, which guarantees that the data retrieved for my AI application is always up-to-date and consistent.
If more timely support could be provided during critical issues, situations could have been resolved much more quickly, saving considerable time.
When we faced any challenges, the ClickHouse support team provided helpful resolutions.
We utilize AVN ClickHouse, which is effectively managed by AVN, providing bug fixes and developing new functionalities along with architecture reviews.
They came and tuned our queries with one-to-one assistance.
Compared to MongoDB, there are some platform deficiencies, but the support team shouldn't bear that burden.
The vertical scalability is impressive, with high insert throughput, allowing millions of rows per second with low latency.
ClickHouse is highly scalable.
The scalability of ClickHouse is great.
A specific challenge I have faced is troubleshooting performance degradation during heavy write transaction tables.
I can confidently say that it is very consistent and stable even when handling high volume loads and real-time streaming analytics across financial and operational domains.
ClickHouse handles large volumes of data efficiently.
ClickHouse is stable, as we did not encounter stability issues in production.
We haven't found issues with the stability of MariaDB.
Another challenge is the lack of robust support for transactional databases, which limits its use as a primary database.
ClickHouse should be able to import data from other types of sources like Parquet and Iceberg tables and all the new upcoming data formats.
My experience with ClickHouse's documentation is that it needs improvement; I think it can be made more beginner-friendly, while the community support is really good.
MariaDB is scalable and easy to scale.
Oracle is very advanced compared to MariaDB, and those advanced features are not available in MariaDB.
The key area where MariaDB could be improved is its native GUI tooling; while the command-line interface works perfectly fine, the built-in visual tools for administration, management, and query design feel outdated compared to some competitors.
My experience with pricing, setup cost, and licensing indicates that it is very expensive—ClickHouse is the most expensive option.
ClickHouse is open source with no hidden fees, offering cost-effective data management.
I found ClickHouse's pricing to be efficient in comparison to other services such as Redshift.
MariaDB is in the pricey range, especially for huge databases handling terabytes of data.
ClickHouse has reduced our storage cost and improved our 99th percentile latency by 40%.
For cost optimization, after deploying the cluster on-premises and using S3 Express, approximately 5x cost savings were achieved on data storage.
ClickHouse positively impacted our organization by absorbing the whole logging system without hassle, storing logs for six months efficiently.
Encryption is available in MariaDB, so we are secure for transmitting data without concern about moving over networks.
Being able to store unstructured JSON directly into a column while still using standard SQL functions such as JSON_EXTRACT to query specific keys has saved me from having to constantly alter our database schemas.
Configuration, setup, and schema design are good features in MariaDB.
| Product | Mindshare (%) |
|---|---|
| ClickHouse | 6.4% |
| MariaDB | 5.6% |
| Other | 88.0% |
| Company Size | Count |
|---|---|
| Small Business | 12 |
| Midsize Enterprise | 5 |
| Large Enterprise | 8 |
| Company Size | Count |
|---|---|
| Small Business | 28 |
| Midsize Enterprise | 12 |
| Large Enterprise | 26 |
ClickHouse is renowned for its speed, scalability, and real-time query performance. Its compatibility with SQL standards enhances flexibility while enabling integration with popular tools.
ClickHouse leverages a column-based architecture for efficient data compression and real-time analytics. It seamlessly integrates with tools like Kafka and Tableau and is effective in handling large datasets due to its cost-efficient aggregation capabilities. With robust data deduplication and strong community backing, users can access comprehensive documentation and up-to-date functionality. However, improvements in third-party integration, cloud deployment, and handling of SQL syntax differences are noted, impacting ease-of-use and migration from other databases.
What features make ClickHouse outstanding?
What benefits should users consider?
ClickHouse is deployed in sectors like telecommunications for passive monitoring and is beneficial for data analytics, logging Clickstream data, and as an ETL engine. Organizations harness it for machine learning applications when combined with GPT. With the ability to be installed independently, it's an attractive option for avoiding cloud service costs.
MariaDB is a robust database solution known for its scalability, speed, and user-friendliness. It supports seamless integration and provides reliable performance in handling large datasets, offering strong community backing alongside its open-source nature.
MariaDB is renowned for efficiently managing large databases and complex relationships while being stable and easy to integrate. With advanced features like replication, encryption, and SQL compatibility, it offers fast query processing. Its straightforward installation and management processes facilitate seamless enterprise integrations and ensure high performance in real-time data scenarios. However, enhancements in enterprise integration, clustering, and scalability are necessary. Addressing challenges with complex queries, security, and user experience would be advantageous, alongside offering robust technical support and a competitive pricing model.
What are the key features of MariaDB?MariaDB is extensively utilized in backend support for cloud telephony platforms, ERP systems, and financial software, being crucial for web application development and data storage. Entities favor its compatibility with MySQL for complex join queries and its support for structured data management in SaaS applications.
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