# Top 10 ClickHouse Alternatives & Competitors
**Average Rating:** 4.5/5
**Total Number of Reviews:** 23
Research alternative solutions to ClickHouse on G2, with real user reviews on competing tools. Real-time Analytic Database Software is a widely used technology, and many people are seeking user friendly, quick software solutions with data replication, access control, and query optimizer. Other important factors to consider when researching alternatives to ClickHouse include analytics. The best overall ClickHouse alternative is Google Cloud BigQuery. Other similar apps like ClickHouse are MySQL, Snowflake, Microsoft SQL Server, and Teradata Autonomous Knowledge Platform. ClickHouse alternatives can be found in [Real-time Analytic Database Software](https://www.g2.com/categories/real-time-analytic-database) but may also be in [Relational Databases](https://www.g2.com/categories/relational-databases) or [Data Warehouse Solutions](https://www.g2.com/categories/data-warehouse).


## Best Paid & Free Alternatives to ClickHouse
  - [Google Cloud BigQuery](https://www.g2.com/products/google-cloud-bigquery/reviews)
  - [MySQL](https://www.g2.com/products/mysql/reviews)
  - [Snowflake](https://www.g2.com/products/snowflake/reviews)
  - [Microsoft SQL Server](https://www.g2.com/products/microsoft-sql-server/reviews)
  - [Teradata Autonomous Knowledge Platform](https://www.g2.com/products/teradata-autonomous-knowledge-platform/reviews)
  - [SAP HANA Cloud](https://www.g2.com/products/sap-hana-cloud-2025-10-01/reviews)
  - [MariaDB](https://www.g2.com/products/mariadb/reviews)
  - [Amazon Redshift](https://www.g2.com/products/amazon-redshift/reviews)
  - [Oracle Database](https://www.g2.com/products/oracle-database/reviews)
  - [PostgreSQL](https://www.g2.com/products/postgresql/reviews)

## 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.


  ### 1. [Google Cloud BigQuery](https://www.g2.com/products/google-cloud-bigquery/reviews)
By Google
**Average Rating:** 4.5/5
**Total Reviews:** 1,224
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](https://www.g2.com/categories/columnar-databases)

**Compare:** [ClickHouse vs Google Cloud BigQuery](https://www.g2.com/compare/clickhouse-vs-google-cloud-bigquery)
**Compare Google Cloud BigQuery with other alternatives:**
- [Google Cloud BigQuery vs MySQL](https://www.g2.com/compare/google-cloud-bigquery-vs-mysql)
- [Google Cloud BigQuery vs Snowflake](https://www.g2.com/compare/google-cloud-bigquery-vs-snowflake)
- [Google Cloud BigQuery vs Microsoft SQL Server](https://www.g2.com/compare/google-cloud-bigquery-vs-microsoft-sql-server)
- [Google Cloud BigQuery vs Teradata Autonomous Knowledge Platform](https://www.g2.com/compare/google-cloud-bigquery-vs-teradata-autonomous-knowledge-platform)
- [Google Cloud BigQuery vs SAP HANA Cloud](https://www.g2.com/compare/google-cloud-bigquery-vs-sap-hana-cloud-2025-10-01)
- [Google Cloud BigQuery vs MariaDB](https://www.g2.com/compare/google-cloud-bigquery-vs-mariadb)
- [Google Cloud BigQuery vs Amazon Redshift](https://www.g2.com/compare/amazon-redshift-vs-google-cloud-bigquery)
- [Google Cloud BigQuery vs Oracle Database](https://www.g2.com/compare/google-cloud-bigquery-vs-oracle-database)
- [Google Cloud BigQuery vs PostgreSQL](https://www.g2.com/compare/google-cloud-bigquery-vs-postgresql)

  ### 2. [MySQL](https://www.g2.com/products/mysql/reviews)
By Oracle
**Average Rating:** 4.4/5
**Total Reviews:** 1,682
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](https://www.g2.com/categories/relational-databases)

**Compare:** [ClickHouse vs MySQL](https://www.g2.com/compare/clickhouse-vs-mysql)
**Compare MySQL with other alternatives:**
- [MySQL vs Google Cloud BigQuery](https://www.g2.com/compare/google-cloud-bigquery-vs-mysql)
- [MySQL vs Snowflake](https://www.g2.com/compare/mysql-vs-snowflake)
- [MySQL vs Microsoft SQL Server](https://www.g2.com/compare/microsoft-sql-server-vs-mysql)
- [MySQL vs Teradata Autonomous Knowledge Platform](https://www.g2.com/compare/mysql-vs-teradata-autonomous-knowledge-platform)
- [MySQL vs SAP HANA Cloud](https://www.g2.com/compare/mysql-vs-sap-hana-cloud-2025-10-01)
- [MySQL vs MariaDB](https://www.g2.com/compare/mariadb-vs-mysql)
- [MySQL vs Amazon Redshift](https://www.g2.com/compare/amazon-redshift-vs-mysql)
- [MySQL vs Oracle Database](https://www.g2.com/compare/mysql-vs-oracle-database)
- [MySQL vs PostgreSQL](https://www.g2.com/compare/mysql-vs-postgresql)

  ### 3. [Snowflake](https://www.g2.com/products/snowflake/reviews)
By Snowflake, Inc.
**Average Rating:** 4.5/5
**Total Reviews:** 763
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)](https://www.g2.com/categories/database-management-systems-dbms), [Columnar Databases](https://www.g2.com/categories/columnar-databases)

**Compare:** [ClickHouse vs Snowflake](https://www.g2.com/compare/clickhouse-vs-snowflake)
**Compare Snowflake with other alternatives:**
- [Snowflake vs Google Cloud BigQuery](https://www.g2.com/compare/google-cloud-bigquery-vs-snowflake)
- [Snowflake vs MySQL](https://www.g2.com/compare/mysql-vs-snowflake)
- [Snowflake vs Microsoft SQL Server](https://www.g2.com/compare/microsoft-sql-server-vs-snowflake)
- [Snowflake vs Teradata Autonomous Knowledge Platform](https://www.g2.com/compare/snowflake-vs-teradata-autonomous-knowledge-platform)
- [Snowflake vs SAP HANA Cloud](https://www.g2.com/compare/sap-hana-cloud-2025-10-01-vs-snowflake)
- [Snowflake vs MariaDB](https://www.g2.com/compare/mariadb-vs-snowflake)
- [Snowflake vs Amazon Redshift](https://www.g2.com/compare/amazon-redshift-vs-snowflake)
- [Snowflake vs Oracle Database](https://www.g2.com/compare/oracle-database-vs-snowflake)
- [Snowflake vs PostgreSQL](https://www.g2.com/compare/postgresql-vs-snowflake)

  ### 4. [Microsoft SQL Server](https://www.g2.com/products/microsoft-sql-server/reviews)
By Microsoft
**Average Rating:** 4.4/5
**Total Reviews:** 2,286
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)](https://www.g2.com/categories/database-management-systems-dbms), [Relational Databases](https://www.g2.com/categories/relational-databases)

**Compare:** [ClickHouse vs Microsoft SQL Server](https://www.g2.com/compare/clickhouse-vs-microsoft-sql-server)
**Compare Microsoft SQL Server with other alternatives:**
- [Microsoft SQL Server vs Google Cloud BigQuery](https://www.g2.com/compare/google-cloud-bigquery-vs-microsoft-sql-server)
- [Microsoft SQL Server vs MySQL](https://www.g2.com/compare/microsoft-sql-server-vs-mysql)
- [Microsoft SQL Server vs Snowflake](https://www.g2.com/compare/microsoft-sql-server-vs-snowflake)
- [Microsoft SQL Server vs Teradata Autonomous Knowledge Platform](https://www.g2.com/compare/microsoft-sql-server-vs-teradata-autonomous-knowledge-platform)
- [Microsoft SQL Server vs SAP HANA Cloud](https://www.g2.com/compare/microsoft-sql-server-vs-sap-hana-cloud-2025-10-01)
- [Microsoft SQL Server vs MariaDB](https://www.g2.com/compare/mariadb-vs-microsoft-sql-server)
- [Microsoft SQL Server vs Amazon Redshift](https://www.g2.com/compare/amazon-redshift-vs-microsoft-sql-server)
- [Microsoft SQL Server vs Oracle Database](https://www.g2.com/compare/microsoft-sql-server-vs-oracle-database)
- [Microsoft SQL Server vs PostgreSQL](https://www.g2.com/compare/microsoft-sql-server-vs-postgresql)

  ### 5. [Teradata Autonomous Knowledge Platform](https://www.g2.com/products/teradata-autonomous-knowledge-platform/reviews)
By Teradata Autonomous Knowledge Platform
**Average Rating:** 4.3/5
**Total Reviews:** 376
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)](https://www.g2.com/categories/database-management-systems-dbms), [Relational Databases](https://www.g2.com/categories/relational-databases)

**Compare:** [ClickHouse vs Teradata Autonomous Knowledge Platform](https://www.g2.com/compare/clickhouse-vs-teradata-autonomous-knowledge-platform)
**Compare Teradata Autonomous Knowledge Platform with other alternatives:**
- [Teradata Autonomous Knowledge Platform vs Google Cloud BigQuery](https://www.g2.com/compare/google-cloud-bigquery-vs-teradata-autonomous-knowledge-platform)
- [Teradata Autonomous Knowledge Platform vs MySQL](https://www.g2.com/compare/mysql-vs-teradata-autonomous-knowledge-platform)
- [Teradata Autonomous Knowledge Platform vs Snowflake](https://www.g2.com/compare/snowflake-vs-teradata-autonomous-knowledge-platform)
- [Teradata Autonomous Knowledge Platform vs Microsoft SQL Server](https://www.g2.com/compare/microsoft-sql-server-vs-teradata-autonomous-knowledge-platform)
- [Teradata Autonomous Knowledge Platform vs SAP HANA Cloud](https://www.g2.com/compare/sap-hana-cloud-2025-10-01-vs-teradata-autonomous-knowledge-platform)
- [Teradata Autonomous Knowledge Platform vs MariaDB](https://www.g2.com/compare/mariadb-vs-teradata-autonomous-knowledge-platform)
- [Teradata Autonomous Knowledge Platform vs Amazon Redshift](https://www.g2.com/compare/amazon-redshift-vs-teradata-autonomous-knowledge-platform)
- [Teradata Autonomous Knowledge Platform vs Oracle Database](https://www.g2.com/compare/oracle-database-vs-teradata-autonomous-knowledge-platform)
- [Teradata Autonomous Knowledge Platform vs PostgreSQL](https://www.g2.com/compare/postgresql-vs-teradata-autonomous-knowledge-platform)

  ### 6. [SAP HANA Cloud](https://www.g2.com/products/sap-hana-cloud-2025-10-01/reviews)
By SAP
**Average Rating:** 4.3/5
**Total Reviews:** 620
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)](https://www.g2.com/categories/database-management-systems-dbms), [Relational Databases](https://www.g2.com/categories/relational-databases)

**Compare:** [ClickHouse vs SAP HANA Cloud](https://www.g2.com/compare/clickhouse-vs-sap-hana-cloud-2025-10-01)
**Compare SAP HANA Cloud with other alternatives:**
- [SAP HANA Cloud vs Google Cloud BigQuery](https://www.g2.com/compare/google-cloud-bigquery-vs-sap-hana-cloud-2025-10-01)
- [SAP HANA Cloud vs MySQL](https://www.g2.com/compare/mysql-vs-sap-hana-cloud-2025-10-01)
- [SAP HANA Cloud vs Snowflake](https://www.g2.com/compare/sap-hana-cloud-2025-10-01-vs-snowflake)
- [SAP HANA Cloud vs Microsoft SQL Server](https://www.g2.com/compare/microsoft-sql-server-vs-sap-hana-cloud-2025-10-01)
- [SAP HANA Cloud vs Teradata Autonomous Knowledge Platform](https://www.g2.com/compare/sap-hana-cloud-2025-10-01-vs-teradata-autonomous-knowledge-platform)
- [SAP HANA Cloud vs MariaDB](https://www.g2.com/compare/mariadb-vs-sap-hana-cloud-2025-10-01)
- [SAP HANA Cloud vs Amazon Redshift](https://www.g2.com/compare/amazon-redshift-vs-sap-hana-cloud-2025-10-01)
- [SAP HANA Cloud vs Oracle Database](https://www.g2.com/compare/oracle-database-vs-sap-hana-cloud-2025-10-01)
- [SAP HANA Cloud vs PostgreSQL](https://www.g2.com/compare/postgresql-vs-sap-hana-cloud-2025-10-01)

  ### 7. [MariaDB](https://www.g2.com/products/mariadb/reviews)
By MariaDB
**Average Rating:** 4.4/5
**Total Reviews:** 226
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](https://www.g2.com/categories/relational-databases), [Columnar Databases](https://www.g2.com/categories/columnar-databases)

**Compare:** [ClickHouse vs MariaDB](https://www.g2.com/compare/clickhouse-vs-mariadb)
**Compare MariaDB with other alternatives:**
- [MariaDB vs Google Cloud BigQuery](https://www.g2.com/compare/google-cloud-bigquery-vs-mariadb)
- [MariaDB vs MySQL](https://www.g2.com/compare/mariadb-vs-mysql)
- [MariaDB vs Snowflake](https://www.g2.com/compare/mariadb-vs-snowflake)
- [MariaDB vs Microsoft SQL Server](https://www.g2.com/compare/mariadb-vs-microsoft-sql-server)
- [MariaDB vs Teradata Autonomous Knowledge Platform](https://www.g2.com/compare/mariadb-vs-teradata-autonomous-knowledge-platform)
- [MariaDB vs SAP HANA Cloud](https://www.g2.com/compare/mariadb-vs-sap-hana-cloud-2025-10-01)
- [MariaDB vs Amazon Redshift](https://www.g2.com/compare/amazon-redshift-vs-mariadb)
- [MariaDB vs Oracle Database](https://www.g2.com/compare/mariadb-vs-oracle-database)
- [MariaDB vs PostgreSQL](https://www.g2.com/compare/mariadb-vs-postgresql)

  ### 8. [Amazon Redshift](https://www.g2.com/products/amazon-redshift/reviews)
By Amazon Web Services (AWS)
**Average Rating:** 4.3/5
**Total Reviews:** 404
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](https://www.g2.com/categories/columnar-databases)

**Compare:** [ClickHouse vs Amazon Redshift](https://www.g2.com/compare/amazon-redshift-vs-clickhouse)
**Compare Amazon Redshift with other alternatives:**
- [Amazon Redshift vs Google Cloud BigQuery](https://www.g2.com/compare/amazon-redshift-vs-google-cloud-bigquery)
- [Amazon Redshift vs MySQL](https://www.g2.com/compare/amazon-redshift-vs-mysql)
- [Amazon Redshift vs Snowflake](https://www.g2.com/compare/amazon-redshift-vs-snowflake)
- [Amazon Redshift vs Microsoft SQL Server](https://www.g2.com/compare/amazon-redshift-vs-microsoft-sql-server)
- [Amazon Redshift vs Teradata Autonomous Knowledge Platform](https://www.g2.com/compare/amazon-redshift-vs-teradata-autonomous-knowledge-platform)
- [Amazon Redshift vs SAP HANA Cloud](https://www.g2.com/compare/amazon-redshift-vs-sap-hana-cloud-2025-10-01)
- [Amazon Redshift vs MariaDB](https://www.g2.com/compare/amazon-redshift-vs-mariadb)
- [Amazon Redshift vs Oracle Database](https://www.g2.com/compare/amazon-redshift-vs-oracle-database)
- [Amazon Redshift vs PostgreSQL](https://www.g2.com/compare/amazon-redshift-vs-postgresql)

  ### 9. [Oracle Database](https://www.g2.com/products/oracle-database/reviews)
By Oracle
**Average Rating:** 4.3/5
**Total Reviews:** 1,019
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](https://www.g2.com/categories/relational-databases)

**Compare:** [ClickHouse vs Oracle Database](https://www.g2.com/compare/clickhouse-vs-oracle-database)
**Compare Oracle Database with other alternatives:**
- [Oracle Database vs Google Cloud BigQuery](https://www.g2.com/compare/google-cloud-bigquery-vs-oracle-database)
- [Oracle Database vs MySQL](https://www.g2.com/compare/mysql-vs-oracle-database)
- [Oracle Database vs Snowflake](https://www.g2.com/compare/oracle-database-vs-snowflake)
- [Oracle Database vs Microsoft SQL Server](https://www.g2.com/compare/microsoft-sql-server-vs-oracle-database)
- [Oracle Database vs Teradata Autonomous Knowledge Platform](https://www.g2.com/compare/oracle-database-vs-teradata-autonomous-knowledge-platform)
- [Oracle Database vs SAP HANA Cloud](https://www.g2.com/compare/oracle-database-vs-sap-hana-cloud-2025-10-01)
- [Oracle Database vs MariaDB](https://www.g2.com/compare/mariadb-vs-oracle-database)
- [Oracle Database vs Amazon Redshift](https://www.g2.com/compare/amazon-redshift-vs-oracle-database)
- [Oracle Database vs PostgreSQL](https://www.g2.com/compare/oracle-database-vs-postgresql)

  ### 10. [PostgreSQL](https://www.g2.com/products/postgresql/reviews)
By PostgreSQL
**Average Rating:** 4.4/5
**Total Reviews:** 684
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](https://www.g2.com/categories/relational-databases)

**Compare:** [ClickHouse vs PostgreSQL](https://www.g2.com/compare/clickhouse-vs-postgresql)
**Compare PostgreSQL with other alternatives:**
- [PostgreSQL vs Google Cloud BigQuery](https://www.g2.com/compare/google-cloud-bigquery-vs-postgresql)
- [PostgreSQL vs MySQL](https://www.g2.com/compare/mysql-vs-postgresql)
- [PostgreSQL vs Snowflake](https://www.g2.com/compare/postgresql-vs-snowflake)
- [PostgreSQL vs Microsoft SQL Server](https://www.g2.com/compare/microsoft-sql-server-vs-postgresql)
- [PostgreSQL vs Teradata Autonomous Knowledge Platform](https://www.g2.com/compare/postgresql-vs-teradata-autonomous-knowledge-platform)
- [PostgreSQL vs SAP HANA Cloud](https://www.g2.com/compare/postgresql-vs-sap-hana-cloud-2025-10-01)
- [PostgreSQL vs MariaDB](https://www.g2.com/compare/mariadb-vs-postgresql)
- [PostgreSQL vs Amazon Redshift](https://www.g2.com/compare/amazon-redshift-vs-postgresql)
- [PostgreSQL vs Oracle Database](https://www.g2.com/compare/oracle-database-vs-postgresql)


---
## ClickHouse Alternatives FAQs

### 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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