# Top 10 ClickHouse Alternatives & Competitors

(23)4.5 out of 5

Based on G2 reviews, ClickHouse is often evaluated alongside top-rated alternatives that vary by use case, pricing, and features. Real-time Analytic Database Software is used by teams seeking simple, quick platforms with features like data replication, access control, and query optimizer, according to G2 reviews. In most cases, users compare alternatives based on reliability and ease of use.   
 The best overall alternative to ClickHouse is [Google Cloud BigQuery](https://www.g2.com/products/google-cloud-bigquery/reviews), rated ~4.5 stars on G2 from 1145+ reviewers. It is frequently praised for speed and fast querying. Other well-known alternatives to ClickHouse are: 
- [MySQL](https://www.g2.com/products/mysql/reviews) – known for easy integrations and performance (G2 star rating ~4.4)
- [Snowflake](https://www.g2.com/products/snowflake/reviews) – highly rated for data management and performance (G2 star rating ~4.6)
- [Microsoft SQL Server](https://www.g2.com/products/microsoft-sql-server/reviews) – offers database management and performance (G2 star rating ~4.4)
- [Teradata Autonomous Knowledge Platform](https://www.g2.com/products/teradata-autonomous-knowledge-platform/reviews) – best suited for teams that need performance and analytics (G2 star rating ~4.3)

 Browse top options below. Based on G2 review data, ClickHouse is most commonly used in industries like [Real-time Analytic Database Software](https://www.g2.com/categories/real-time-analytic-database), [Relational Databases](https://www.g2.com/categories/relational-databases), [Data Warehouse Solutions](https://www.g2.com/categories/data-warehouse). Compare user ratings by vertical to find the best fit.

## Best Paid & Free Alternatives to ClickHouse

- Google Cloud BigQuery
- MySQL
- Snowflake
- Microsoft SQL Server
- Teradata Autonomous Knowledge Platform
- SAP HANA Cloud
- MariaDB
- Amazon Redshift

## Top 10 Alternatives to ClickHouse Recently Reviewed By G2 Community

Browse options below. Based on reviewer data, you can see how ClickHouse stacks up to the competition, check reviews from current & previous users in industries like Information Technology and Services, Hospital & Health Care, and Leisure, Travel & Tourism, and find the best product for your business.

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[
 ![Product Avatar Image](https://images.g2crowd.com/uploads/product/image/96b275379465d759df5bffd0099d849a/google-cloud-bigquery.png "Product Avatar Image")
](https://www.g2.com/products/google-cloud-bigquery/reviews)

[
Google Cloud BigQuery
](https://www.g2.com/products/google-cloud-bigquery/reviews)

By [Google](https://www.g2.com/sellers/google)

[

4.5/5(1,224)

](https://www.g2.com/products/google-cloud-bigquery/reviews#reviews)

Product Description

Analyze Big Data in the cloud with BigQuery. Run fast, SQL-like queries against multi-terabyte datasets in seconds. Scalable and easy to use, BigQuery gives you real-time insights about your data.

Reviewers say compared to ClickHouse, Google Cloud BigQuery is:

More expensive

Easier to admin

Categories in common with ClickHouse:

[
Columnar Databases
](/categories/columnar-databases)

[
 ![Product Avatar Image](https://images.g2crowd.com/uploads/product/image/240340edca859994ec71e4490aa20022/mysql.png "Product Avatar Image")
](https://www.g2.com/products/mysql/reviews)

[
MySQL
](https://www.g2.com/products/mysql/reviews)

By [Oracle](https://www.g2.com/sellers/oracle)

[

4.4/5(1,682)

](https://www.g2.com/products/mysql/reviews#reviews)

Product Description

MySQL is the world's most popular open-source database, renowned for its reliability, performance, and ease of use. It serves as the backbone for many high-profile web applications, including those of Facebook, Twitter, and YouTube. MySQL offers a comprehensive suite of features that cater to the needs of modern web, mobile, embedded, and cloud applications. Key Features and Functionality: - Transactional Data Dictionary: Implemented as a set of SQL tables stored in a single InnoDB tablespace, enhancing data management efficiency. - Common Table Expressions (CTEs): Also known as WITH queries, CTEs simplify complex queries and improve readability. - Window Functions: These functions reduce code complexity and boost developer productivity by allowing calculations across sets of table rows related to the current row. - Invisible Indexes: Facilitate better management of software upgrades and database changes for applications that require continuous operation. - Descending Indexes: Eliminate the need for sorting results, leading to performance improvements. - JSON Support: Includes the JSON\_TABLE() function, which accepts JSON data and returns it as a relational table, enhancing flexibility in data handling. - Document Store: Allows the development of both SQL and NoSQL document applications using a single database, providing versatility in application design. - SQL Roles: Simplify permission management by granting and denying permissions to groups of users, thereby reducing the security workload. - OpenSSL Integration: Utilizes OpenSSL as the default TLS/SSL library, ensuring secure data transmission. - Default to utf8mb4 Character Set: Supports richer mobile applications and international character sets, accommodating a global user base. - Geographic Information System (GIS) Enhancements: Supports geography and Spatial Reference Systems (SRS), enabling advanced spatial data analysis. - InnoDB Cluster: Provides improved high availability through integrated solutions. - InnoDB ClusterSet: Offers cross-region disaster recovery capabilities, ensuring data resilience. - Replication: Provides flexible topologies for scale-out and high availability, enhancing system robustness. - Reliability: Requires minimal intervention to achieve continuous uptime, ensuring consistent performance. - Partitioning: Improves performance and management of very large database environments by dividing tables into smaller, more manageable pieces. - ACID Transactions: Ensures reliable and secure business-critical applications by supporting Atomicity, Consistency, Isolation, and Durability. - Stored Procedures and Triggers: Enhance developer productivity and enforce complex business rules at the database level. - Views: Ensure sensitive information is not compromised by providing controlled access to data. - Ease of Use: Offers a "3 minutes from download to development" installation and configuration process, facilitating quick deployment. - Low Administration: Requires very little database maintenance, reducing operational overhead. Primary Value and User Solutions: MySQL delivers a robust, scalable, and secure database solution that addresses the needs of developers and enterprises alike. Its comprehensive feature set supports the development of high-performance applications across various platforms, including web, mobile, embedded, and cloud environments. By offering advanced functionalities such as ACID compliance, high availability, and flexible replication, MySQL ensures data integrity and reliability. Its ease of use and low administrative requirements enable organizations to reduce operational costs and accelerate time-to-market for their applications. Furthermore, MySQL's support for modern development practices, including JSON and NoSQL capabilities, allows developers to build versatile and future-proof applications.

Reviewers say compared to ClickHouse, MySQL is:

More expensive

Easier to admin

Categories in common with ClickHouse:

[
Relational Databases
](/categories/relational-databases)

[
 ![Product Avatar Image](https://images.g2crowd.com/uploads/product/image/2b00e05c107c3273cea5264090c3c1d0/snowflake.jpg "Product Avatar Image")
](https://www.g2.com/products/snowflake/reviews)

[
Snowflake
](https://www.g2.com/products/snowflake/reviews)

By [Snowflake, Inc.](https://www.g2.com/sellers/snowflake-inc)

[

4.6/5(764)

](https://www.g2.com/products/snowflake/reviews#reviews)

Product Description

Snowflake’s platform eliminates data silos and simplifies architectures, so organizations can get more value from their data. The platform is designed as a single, unified product with automations that reduce complexity and help ensure everything “just works”. To support a wide range of workloads, it’s optimized for performance at scale no matter whether someone’s working with SQL, Python, or other languages. And it’s globally connected so organizations can securely access the most relevant content across clouds and regions, with one consistent experience.

Reviewers say compared to ClickHouse, Snowflake is:

More expensive

Easier to admin

Better at support

Categories in common with ClickHouse:

[
Database Management Systems (DBMS)
](/categories/database-management-systems-dbms)[
Columnar Databases
](/categories/columnar-databases)

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[
 ![Product Avatar Image](https://images.g2crowd.com/uploads/product/image/0d3b67827912f22174857de9475977c9/microsoft-sql-server.jpg "Product Avatar Image")
](https://www.g2.com/products/microsoft-sql-server/reviews)

[
Microsoft SQL Server
](https://www.g2.com/products/microsoft-sql-server/reviews)

By [Microsoft](https://www.g2.com/sellers/microsoft)

[

4.4/5(2,287)

](https://www.g2.com/products/microsoft-sql-server/reviews#reviews)

Product Description

SQL Server 2017 brings the power of SQL Server to Windows, Linux and Docker containers for the first time ever, enabling developers to build intelligent applications using their preferred language and environment. Experience industry-leading performance, rest assured with innovative security features, transform your business with AI built-in, and deliver insights wherever your users are with mobile BI.

Reviewers say compared to ClickHouse, Microsoft SQL Server is:

More expensive

Easier to admin

Categories in common with ClickHouse:

[
Database Management Systems (DBMS)
](/categories/database-management-systems-dbms)[
Relational Databases
](/categories/relational-databases)

[
 ![Product Avatar Image](https://images.g2crowd.com/uploads/product/image/ce723ad59ccdd9d49948ce2bea0cc4cc/teradata-autonomous-knowledge-platform.jpg "Product Avatar Image")
](https://www.g2.com/products/teradata-autonomous-knowledge-platform/reviews)

[
Teradata Autonomous Knowledge Platform
](https://www.g2.com/products/teradata-autonomous-knowledge-platform/reviews)

By [Teradata Autonomous Knowledge Platform](https://www.g2.com/sellers/teradata-autonomous-knowledge-platform)

[

4.3/5(376)

](https://www.g2.com/products/teradata-autonomous-knowledge-platform/reviews#reviews)

Product Description

Teradata Autonomous Knowledge Platform easily and efficiently handles complex data requirements and simplifies management of the data warehouse environment.

Reviewers say compared to ClickHouse, Teradata Autonomous Knowledge Platform is:

More expensive

Easier to admin

Categories in common with ClickHouse:

[
Database Management Systems (DBMS)
](/categories/database-management-systems-dbms)[
Relational Databases
](/categories/relational-databases)

[
 ![Product Avatar Image](https://images.g2crowd.com/uploads/product/image/5e530c81ef1a1d98fe6a0d6eede0397b/sap-hana-cloud-2025-10-01.png "Product Avatar Image")
](https://www.g2.com/products/sap-hana-cloud-2025-10-01/reviews)

[
SAP HANA Cloud
](https://www.g2.com/products/sap-hana-cloud-2025-10-01/reviews)

By [SAP](https://www.g2.com/sellers/sap)

[

4.3/5(621)

](https://www.g2.com/products/sap-hana-cloud-2025-10-01/reviews#reviews)

Product Description

SAP HANA Cloud is the cloud-native data foundation of SAP Business Technology Platform, it stores, processes and analyzes data in real time at petabyte scale and converges multiple data types in a single system while managing it more efficiently with integrated multitier storage.

Reviewers say compared to ClickHouse, SAP HANA Cloud is:

More expensive

Easier to admin

Categories in common with ClickHouse:

[
Database Management Systems (DBMS)
](/categories/database-management-systems-dbms)[
Relational Databases
](/categories/relational-databases)

[
 ![Product Avatar Image](https://images.g2crowd.com/uploads/product/image/6ea8cb7543ad05ad4f09ff38900bbaf7/mariadb.gif "Product Avatar Image")
](https://www.g2.com/products/mariadb/reviews)

[
MariaDB
](https://www.g2.com/products/mariadb/reviews)

By [MariaDB](https://www.g2.com/sellers/mariadb)

[

4.4/5(226)

](https://www.g2.com/products/mariadb/reviews#reviews)

Product Description

MariaDB is a high performance, open source database that helps the world's busiest websites deliver more content, faster.

Reviewers say compared to ClickHouse, MariaDB is:

Easier to admin

More expensive

More usable

Categories in common with ClickHouse:

[
Relational Databases
](/categories/relational-databases)[
Columnar Databases
](/categories/columnar-databases)

[
 ![Product Avatar Image](https://images.g2crowd.com/uploads/product/image/b3390b4cc3d92e87d570895f7358c003/amazon-redshift.jpg "Product Avatar Image")
](https://www.g2.com/products/amazon-redshift/reviews)

[
Amazon Redshift
](https://www.g2.com/products/amazon-redshift/reviews)

By [Amazon Web Services (AWS)](https://www.g2.com/sellers/amazon-web-services-aws-3e93cc28-2e9b-4961-b258-c6ce0feec7dd)

[

4.3/5(404)

](https://www.g2.com/products/amazon-redshift/reviews#reviews)

Product Description

Amazon Redshift is a fast, fully managed data warehouse that makes it simple and cost-effective to analyze all your data using standard SQL and your existing Business Intelligence (BI) tools.

Reviewers say compared to ClickHouse, Amazon Redshift is:

More expensive

Easier to admin

Better at support

Categories in common with ClickHouse:

[
Columnar Databases
](/categories/columnar-databases)

[
 ![Product Avatar Image](https://images.g2crowd.com/uploads/product/image/82f55e945509bff7b8009e8024cfe73c/oracle-database.jpg "Product Avatar Image")
](https://www.g2.com/products/oracle-database/reviews)

[
Oracle Database
](https://www.g2.com/products/oracle-database/reviews)

By [Oracle](https://www.g2.com/sellers/oracle)

[

4.3/5(1,020)

](https://www.g2.com/products/oracle-database/reviews#reviews)

Product Description

Oracle Database is a comprehensive, multi-model database management system developed by Oracle Corporation. It is designed to handle various data types and workloads, including online transaction processing (OLTP), data warehousing, and mixed database operations. With its robust architecture, Oracle Database supports deployment across on-premises environments, cloud platforms, and hybrid configurations, offering flexibility and scalability to meet diverse business needs. Key Features and Functionality: - Multi-Model Support: Oracle Database accommodates various data models, including relational, document, graph, and key-value, enabling developers to work with diverse data types within a single platform. - Advanced Analytics: The database integrates advanced analytics capabilities, such as in-database machine learning and AI Vector Search, allowing users to perform complex analyses directly within the database environment. - High Availability and Scalability: Designed for mission-critical applications, Oracle Database offers features like data replication, backup, server clustering, and automatic storage management to ensure high availability and seamless scalability. - Security: With comprehensive security measures, including encryption, SQL Firewall, and data masking, Oracle Database safeguards sensitive information and maintains data integrity. - Multicloud Deployment: Oracle Database supports deployment across various cloud platforms, including Oracle Cloud Infrastructure, AWS, Microsoft Azure, and Google Cloud, providing flexibility and compliance with data residency requirements. Primary Value and Solutions Provided: Oracle Database addresses the complex data management needs of modern enterprises by offering a unified platform that supports multiple data models and workloads. Its integration of AI and machine learning capabilities enables organizations to derive actionable insights directly from their data, enhancing decision-making processes. The database's high availability and scalability ensure that businesses can maintain continuous operations and adapt to growing data demands. Additionally, its robust security features protect against data breaches and ensure compliance with regulatory standards. By supporting multicloud deployments, Oracle Database provides the flexibility to operate in various cloud environments, facilitating seamless integration and innovation across different platforms.

Reviewers say compared to ClickHouse, Oracle Database is:

More expensive

Easier to admin

Categories in common with ClickHouse:

[
Relational Databases
](/categories/relational-databases)

[
 ![Product Avatar Image](https://images.g2crowd.com/uploads/product/image/251be2af3ae607c45c14e816eaa1cf41/postgresql.png "Product Avatar Image")
](https://www.g2.com/products/postgresql/reviews)

[
PostgreSQL
](https://www.g2.com/products/postgresql/reviews)

By [PostgreSQL](https://www.g2.com/sellers/postgresql)

[

4.4/5(684)

](https://www.g2.com/products/postgresql/reviews#reviews)

Product Description

PostgreSQL is a powerful, open-source object-relational database system renowned for its reliability, extensibility, and adherence to SQL standards. Originating from the POSTGRES project at the University of California at Berkeley in 1986, it has evolved over nearly four decades into a robust platform capable of handling complex data workloads across various operating systems. PostgreSQL's architecture emphasizes data integrity and scalability, making it a preferred choice for developers and organizations worldwide. Key Features and Functionality: - Comprehensive Data Types: Supports a wide range of data types, including primitives (Integer, Numeric, String, Boolean), structured (Date/Time, Array, Range), document (JSON/JSONB, XML), and geometric types. - Advanced Data Integrity: Ensures data accuracy through features like UNIQUE constraints, primary and foreign keys, exclusion constraints, and various locking mechanisms. - High Performance and Concurrency: Utilizes advanced indexing methods (B-tree, GiST, GIN, BRIN), a sophisticated query planner, multi-version concurrency control (MVCC), parallel query execution, and table partitioning to optimize performance. - Reliability and Disaster Recovery: Offers write-ahead logging (WAL), various replication methods (asynchronous, synchronous, logical), point-in-time recovery (PITR), and active standbys to ensure data durability and availability. - Robust Security Measures: Provides multiple authentication methods (GSSAPI, SSPI, LDAP, SCRAM-SHA-256, Certificate, OAuth 2.0), a comprehensive access-control system, and supports multi-factor authentication. - Extensibility: Allows the creation of custom data types, functions, and operators. Supports procedural languages like PL/pgSQL, Perl, Python, and Tcl, with additional languages available through extensions. Primary Value and User Solutions: PostgreSQL addresses the needs of developers and organizations by offering a highly extensible and standards-compliant database system that ensures data integrity, scalability, and robust performance. Its open-source nature allows for continuous innovation and adaptability, enabling users to tailor the database to their specific requirements. Whether managing small applications or large-scale enterprise systems, PostgreSQL provides a reliable foundation for storing and processing data efficiently.

Reviewers say compared to ClickHouse, PostgreSQL is:

More expensive

Easier to admin

Categories in common with ClickHouse:

[
Relational Databases
](/categories/relational-databases)

## ClickHouse Alternatives FAQs

Generated using AI

### How does ClickHouse compare to Google Cloud BigQuery?

According to G2 data, both [ClickHouse](https://www.g2.com/products/clickhouse/reviews) and [Google Cloud BigQuery](https://www.g2.com/products/google-cloud-bigquery/reviews) hold an average rating of 4.5 out of 5, with BigQuery having a substantially larger review base (1,227 reviews) compared to ClickHouse's 23. ClickHouse excels in meeting requirements with a score of 9.2 versus BigQuery's 8.8, and is rated slightly higher in usability (8.8 vs 8.7) and ease of setup (9.0 vs 8.7). Conversely, BigQuery leads in ease of administration by 1.0 point (8.5 vs 7.5) and matches ClickHouse in support (8.3 each), while also scoring 8.6 in ease of doing business, a dimension not rated for ClickHouse. ClickHouse is praised for its exceptional query speed, real-time data processing, and efficient handling of large datasets, with multiple reviews highlighting its fast query execution and simple SQL-like syntax. However, it requires more expertise for query optimization and has a steeper learning curve. BigQuery is recognized for its serverless architecture, seamless scalability, and integration with the Google Cloud ecosystem, enabling fast querying of massive datasets without infrastructure management. It supports built-in machine learning capabilities and offers a pay-as-you-go pricing model, though users frequently cite cost unpredictability and the need for query optimization to control expenses. In summary, ClickHouse offers superior performance in meeting requirements and ease of setup, ideal for users with SQL expertise seeking high-speed analytics on large datasets. Google Cloud BigQuery provides a fully managed, scalable, and integrated cloud data warehouse solution with strong administrative ease and extensive ecosystem support, favored for large-scale analytics and operational simplicity but requires careful cost management.

### What are the best alternatives to ClickHouse?

The best alternatives to ClickHouse include [Google Cloud BigQuery](https://www.g2.com/products/google-cloud-bigquery/reviews) (4.5/5 stars, 1227 reviews), [MySQL](https://www.g2.com/products/mysql/reviews) (4.4/5 stars, 1677 reviews), [Snowflake](https://www.g2.com/products/snowflake/reviews) (4.5/5 stars, 756 reviews), and [MS SQL](https://www.g2.com/products/microsoft-sql-server/reviews) (4.4/5 stars, 2284 reviews). These alternatives offer strong scalability, ease of administration, and extensive integration capabilities, with Google Cloud BigQuery and Snowflake particularly noted for their serverless architectures and high performance on large datasets.

### What features do alternatives offer that ClickHouse does not?

ClickHouse lacks native auto-sharding capabilities, which are available in Google Cloud BigQuery. It also does not support transactions, triggers, or custom functions natively, features that are present in alternatives like MySQL and Snowflake. Additionally, ClickHouse requires more manual optimization for complex joins and updates, whereas alternatives provide more streamlined handling of these operations.

### Which Real-time Analytic Database tools do reviewers recommend instead of ClickHouse?

Reviewers recommend [Google Cloud BigQuery](https://www.g2.com/products/google-cloud-bigquery/reviews) and [Snowflake](https://www.g2.com/products/snowflake/reviews) as top real-time analytic database tools instead of ClickHouse. Google Cloud BigQuery is praised for its fully managed serverless architecture, fast query performance on massive datasets, and seamless integration with AI and machine learning tools. Snowflake is favored for its separation of compute and storage, ease of scaling, secure data sharing, and strong support for both structured and semi-structured data. MySQL is also recommended for users seeking a reliable, open-source relational database with strong transactional support and ease of use for ETL and reporting workflows.

### Why do users choose Google Cloud BigQuery over ClickHouse?

Users choose [Google Cloud BigQuery](https://www.g2.com/products/google-cloud-bigquery/reviews) over ClickHouse primarily for its fully managed, serverless architecture that eliminates infrastructure management and scaling concerns, as highlighted in over 1200 reviews. BigQuery's seamless integration with the broader Google Cloud ecosystem—including tools like Looker Studio, Dataflow, and Vertex AI—enables streamlined end-to-end data pipelines and advanced analytics workflows. Its ability to handle petabyte-scale datasets with fast query performance and support for standard SQL makes it accessible and efficient for large-scale enterprise analytics. Additionally, BigQuery's pay-as-you-go pricing model offers cost efficiency when queries are optimized, and its built-in machine learning capabilities (BigQuery ML) allow users to build and deploy ML models directly within the platform. Users also appreciate the ease of setup and user-friendly interface, which facilitate quicker onboarding compared to traditional data warehouses. The platform's strong customer support and extensive documentation further enhance user confidence and adoption. While cost unpredictability and a learning curve for advanced features are noted, the operational simplicity, scalability, and integration advantages make Google Cloud BigQuery the preferred choice for organizations prioritizing managed services, scalability, and comprehensive cloud ecosystem connectivity over the more hands-on, expertise-demanding ClickHouse environment.

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