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Top 10 ClickHouse Alternatives

Vendor: ClickHouse
4.3 out of 5
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Top ClickHouse Competitors

Discover the top alternatives and competitors to ClickHouse based on the interviews we conducted with its users. The top alternative solutions include MySQL, PostgreSQL, and Firebird SQL. The alternatives are sorted based on how often peers compare the solutions.

ClickHouse surpasses its competitors by offering lightning-fast performance, efficient data storage, and excellent scalability, empowering organizations with real-time analytics and seamless handling of large datasets, making it ideal for handling intensive query workloads efficiently and effectively.

ClickHouse Alternatives Report

Learn what solutions real users are comparing with ClickHouse, and compare use cases, valuable features, and pricing.
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MySQL
4.1 out of 5
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MySQL
4.1 out of 5
MySQL excels in reliability and versatility, ideal for traditional relational database management across environments. In comparison, ClickHouse is designed for exceptional performance in analytical applications, featuring superior speed and efficient handling of large-scale data operations, appealing to those prioritizing complex query processing.
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MySQL is praised for its lower setup cost while ClickHouse is noted for its efficiency despite higher setup expenses.
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MySQL is praised for its lower setup cost while ClickHouse is noted for its efficiency despite higher setup expenses.
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PostgreSQL
4.2 out of 5
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PostgreSQL
4.2 out of 5
PostgreSQL excels with SQL standards, cost-effectiveness, and versatility in diverse settings. In comparison, ClickHouse offers high-speed analytics through columnar storage, suitable for large datasets. Tech buyers might favor PostgreSQL for complex queries, while ClickHouse is ideal for real-time big data analytics.
Download ClickHouse vs. PostgreSQL Report
PostgreSQL offers a straightforward setup cost, while ClickHouse provides a competitive pricing structure with variable setup options.
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PostgreSQL offers a straightforward setup cost, while ClickHouse provides a competitive pricing structure with variable setup options.
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Firebird SQL
3.9 out of 5
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Firebird SQL
3.9 out of 5
Firebird SQL attracts users with cost-effectiveness and easy deployment. In comparison, ClickHouse, with its high-performance analytics, appeals to those needing robust data handling. Firebird benefits tech buyers seeking simplicity, while ClickHouse suits those prioritizing scalability for large data environments.
Download ClickHouse vs. Firebird SQL Report
Firebird SQL presents low or no installation fees, while ClickHouse often entails higher initial setup costs. This distinction highlights a cost-effective advantage for Firebird SQL in initial deployment.
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Firebird SQL presents low or no installation fees, while ClickHouse often entails higher initial setup costs. This distinction highlights a cost-effective advantage for Firebird SQL in initial deployment.
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Elastic Search
4.1 out of 5
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Elastic Search
4.1 out of 5
Elastic Search excels in log monitoring with customizable dashboards and advanced search, suiting users needing flexible data storage. In comparison, ClickHouse values real-time query performance and data aggregation, ideal for handling large datasets and big data operations efficiently.
Download ClickHouse vs. Elastic Search Report
Elastic Search offers a straightforward setup process, making it ideal for quick deployment, while ClickHouse may involve a more complex initial configuration but provides advanced customization options. Users should evaluate based on setup complexity and customization needs.
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Elastic Search offers a straightforward setup process, making it ideal for quick deployment, while ClickHouse may involve a more complex initial configuration but provides advanced customization options. Users should evaluate based on setup complexity and customization needs.
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Redis
4.4 out of 5
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Redis
4.4 out of 5
Redis offers simplicity and speed with in-memory storage, ideal for caching and real-time applications. In comparison, ClickHouse handles large data volumes with columnar storage and swift query capabilities, suitable for big data workloads and complex queries, appealing to different data solution needs.
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Redis offers a straightforward setup with minimal upfront costs, while ClickHouse requires more investment in initial setup, reflecting their different approaches and target use cases.
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Redis offers a straightforward setup with minimal upfront costs, while ClickHouse requires more investment in initial setup, reflecting their different approaches and target use cases.
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Microsoft Azure Cosmos DB
4.1 out of 5
Microsoft Azure Cosmos DB offers flexibility with cloud integrations, while ClickHouse provides cost efficiency due to its open-source nature. In comparison, Cosmos DB is ideal for cloud environments with strong support, whereas ClickHouse is preferable for its rapid deployment and minimal costs.
Download ClickHouse vs. Microsoft Azure Cosmos DB Report
Microsoft Azure Cosmos DB often presents a higher setup cost, whereas ClickHouse offers a more budget-friendly option, highlighting distinct cost structures between the two.
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Microsoft Azure Cosmos DB often presents a higher setup cost, whereas ClickHouse offers a more budget-friendly option, highlighting distinct cost structures between the two.
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MariaDB
4.1 out of 5
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MariaDB
4.1 out of 5
MariaDB offers versatility with features like PL/SQL compatibility and stability, suitable for diverse environments. In comparison, ClickHouse excels in speed and real-time query performance for data-heavy tasks. ClickHouse's column-based architecture makes it ideal for analytical functions and compression.
Download ClickHouse vs. MariaDB Report
MariaDB typically incurs a higher setup cost compared to ClickHouse, making ClickHouse a more budget-friendly option for initial deployments.
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MariaDB typically incurs a higher setup cost compared to ClickHouse, making ClickHouse a more budget-friendly option for initial deployments.
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MongoDB Enterprise Advanced
4.1 out of 5
MongoDB Enterprise Advanced excels in scalability, supporting developer-friendly capabilities, and is ideal for semi-structured data management. In comparison, ClickHouse specializes in rapid analytics and real-time queries, efficiently handling massive data volumes with its columnar storage, benefiting business intelligence applications.
Download ClickHouse vs. MongoDB Enterprise Advanced Report
MongoDB Enterprise Advanced has higher setup costs with comprehensive support, while ClickHouse offers a cost-effective setup for scalable analytics.
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MongoDB Enterprise Advanced has higher setup costs with comprehensive support, while ClickHouse offers a cost-effective setup for scalable analytics.
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Chroma
4.3 out of 5
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Chroma
4.3 out of 5
Chroma attracts tech buyers with its user-friendly integration and flexible deployment at an affordable price. In comparison, ClickHouse offers powerful performance and extensive analytics functions, appealing to those seeking complex setups with robust documentation and willing to invest in higher ROI for demanding needs.
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Chroma has a straightforward setup process, while ClickHouse requires more technical expertise to install.
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Chroma has a straightforward setup process, while ClickHouse requires more technical expertise to install.
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Faiss
4.0 out of 5
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Faiss
4.0 out of 5
ClickHouse excels in real-time analytics with parallel query processing and SQL compatibility. In comparison, Faiss focuses on rapid similarity search in large vector datasets, suitable for AI tasks. ClickHouse suits analytics environments, whereas Faiss fits specialized machine learning applications.
Download ClickHouse vs. Faiss Report
ClickHouse incurs higher setup costs due to its advanced features and scalability, while Faiss provides a more cost-effective setup option, appealing to those seeking efficiency without complex configurations.
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ClickHouse incurs higher setup costs due to its advanced features and scalability, while Faiss provides a more cost-effective setup option, appealing to those seeking efficiency without complex configurations.
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Milvus
3.7 out of 5
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Milvus
3.7 out of 5
Milvus excels in vector search and AI workloads, ideal for similarity searches with low setup costs. In comparison, ClickHouse focuses on fast OLAP processing, offering high-speed analytics suitable for enterprise needs, despite higher initial costs and complex deployment options.
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Milvus offers an economical setup cost, making it accessible for budget-conscious users, while ClickHouse's setup is more expensive, reflecting its advanced capabilities and features.
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Milvus offers an economical setup cost, making it accessible for budget-conscious users, while ClickHouse's setup is more expensive, reflecting its advanced capabilities and features.
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LanceDB
4.5 out of 5
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LanceDB
4.5 out of 5
LanceDB excels with transparent pricing and strong customer service, appealing to those prioritizing simplicity. In comparison, ClickHouse's advanced analytics and scalability make it ideal for large-scale data operations, enticing buyers seeking comprehensive features despite higher upfront investments.
LanceDB offers competitive setup costs and clear pricing structures, while ClickHouse may involve higher initial setup expenses, highlighting a substantial cost difference in setting up these database solutions.
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LanceDB offers competitive setup costs and clear pricing structures, while ClickHouse may involve higher initial setup expenses, highlighting a substantial cost difference in setting up these database solutions.
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OpenSearch
1 out of 5
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OpenSearch
1 out of 5
OpenSearch offers strong support and integration, making it ideal for those needing extensive plugin capabilities. In comparison, ClickHouse focuses on performance and scalability, appealing to organizations needing high-speed analytics with its advanced data processing and columnar storage.
OpenSearch's setup cost is competitive, allowing for flexible deployment options, while ClickHouse offers a straightforward setup process, reducing initial deployment time, highlighting a key difference in ease of implementation between the two solutions.
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OpenSearch's setup cost is competitive, allowing for flexible deployment options, while ClickHouse offers a straightforward setup process, reducing initial deployment time, highlighting a key difference in ease of implementation between the two solutions.
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Qdrant
1 out of 5
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Qdrant
1 out of 5
Qdrant specializes in vector similarity search, appealing to AI-driven applications with easy deployment. In comparison, ClickHouse emphasizes high-speed OLAP for broad analytical needs, offering robust query performance. Tech buyers choose Qdrant for simplicity, while ClickHouse suits extensive data processing requirements.
Qdrant has a lower initial setup cost compared to ClickHouse, which may present a cost-effective option for users focused on starting budget. ClickHouse, however, might justify the higher setup expense with advanced features offering greater value long-term.
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Qdrant has a lower initial setup cost compared to ClickHouse, which may present a cost-effective option for users focused on starting budget. ClickHouse, however, might justify the higher setup expense with advanced features offering greater value long-term.
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Pinecone
4.2 out of 5
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Pinecone
4.2 out of 5
Pinecone excels in vector similarity search and real-time insights, ideal for AI-driven applications. In comparison, ClickHouse delivers high-speed, scalable analytics suitable for complex queries. Pinecone offers easier deployment, while ClickHouse provides significant long-term ROI through robust analytical capabilities.
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Pinecone offers a straightforward setup process, while ClickHouse involves more initial complexity.
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Pinecone offers a straightforward setup process, while ClickHouse involves more initial complexity.
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InfluxDB
4.1 out of 5
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InfluxDB
4.1 out of 5
InfluxDB excels in real-time monitoring with efficient time-series data handling. In comparison, ClickHouse provides impressive analytical speed and complex querying. InfluxDB suits immediate insights needs, while ClickHouse is ideal for extensive analytics, each offering distinct advantages based on data management priorities.
Download ClickHouse vs. InfluxDB Report
InfluxDB incurs a higher setup cost, while ClickHouse offers a more cost-effective installation. This pricing difference highlights InfluxDB's advanced features versus ClickHouse's value-conscious approach.
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InfluxDB incurs a higher setup cost, while ClickHouse offers a more cost-effective installation. This pricing difference highlights InfluxDB's advanced features versus ClickHouse's value-conscious approach.
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SingleStore
4.4 out of 5
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SingleStore
4.4 out of 5
SingleStore excels in hybrid transactional and analytical processing, attracting those needing ANSI SQL compatibility. In comparison, ClickHouse is ideal for data-heavy environments due to its columnar storage and fast query capability. SingleStore appeals with flexible deployment and robust customer support.
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SingleStore has higher initial setup costs compared to ClickHouse, which offers a more economical entry point.
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SingleStore has higher initial setup costs compared to ClickHouse, which offers a more economical entry point.
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SQLite
3.6 out of 5
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SQLite
3.6 out of 5
SQLite excels in simplicity and serverless architecture, ideal for mobile apps and small projects. In comparison, ClickHouse, with its columnar storage and distributed processing, targets complex analytical tasks. SQLite's low cost is attractive, while ClickHouse offers value in data-intensive environments.
Download ClickHouse vs. SQLite Report
SQLite offers minimal setup costs, ideal for low-budget projects, while ClickHouse requires more upfront investment, reflecting its advanced capabilities and scalability.
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SQLite offers minimal setup costs, ideal for low-budget projects, while ClickHouse requires more upfront investment, reflecting its advanced capabilities and scalability.
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Cassandra
4.0 out of 5
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Cassandra
4.0 out of 5
Cassandra offers high availability and scalability beneficial for massive data loads. In comparison, ClickHouse excels in real-time analytics with faster query performance. Cassandra’s deployment flexibility contrasts with ClickHouse’s streamlined analytic focus, each offering distinct cost-effectiveness and efficiency for different business needs.
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Cassandra has a more complex setup cost compared to ClickHouse, which offers a more straightforward initial setup.
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Cassandra has a more complex setup cost compared to ClickHouse, which offers a more straightforward initial setup.
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CockroachDB
4.0 out of 5
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CockroachDB
4.0 out of 5
ClickHouse excels in speed and compression, ideal for real-time querying in OLAP applications. In comparison, CockroachDB offers distributed architecture and geo-partitioning for scalability in cloud-native environments. CockroachDB's PostgreSQL compatibility and ClickHouse's cluster management present improvement opportunities.
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CockroachDB offers a more straightforward setup cost, while ClickHouse provides a lower initial investment, highlighting cost differences for initial deployment.
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CockroachDB offers a more straightforward setup cost, while ClickHouse provides a lower initial investment, highlighting cost differences for initial deployment.
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VictoriaMetrics
1 out of 5
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VictoriaMetrics
1 out of 5
ClickHouse is preferred for its rapid query performance and scalable architecture, making it ideal for large data volumes. In comparison, VictoriaMetrics specializes in efficient time-series data handling with high ingestion and cost-effective storage, appealing to users prioritizing simplified deployment and management.
ClickHouse requires a higher initial setup cost compared to VictoriaMetrics, which offers a more budget-friendly setup experience for users.
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ClickHouse requires a higher initial setup cost compared to VictoriaMetrics, which offers a more budget-friendly setup experience for users.
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DataStax Enterprise
1 out of 5
DataStax Enterprise is ideal for scalable, cloud-integrated environments, appealing to businesses prioritizing flexibility. In comparison, ClickHouse provides rapid query processing, attracting performance-focused users. DataStax Enterprise's strong support benefits complex deployments, while ClickHouse's cost-effectiveness suits startups needing efficient operations. Both serve distinct data management needs effectively.
DataStax Enterprise typically incurs higher setup costs due to its comprehensive support and advanced capabilities, whereas ClickHouse offers a more cost-effective installation, prioritizing open-source flexibility and simplicity.
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DataStax Enterprise typically incurs higher setup costs due to its comprehensive support and advanced capabilities, whereas ClickHouse offers a more cost-effective installation, prioritizing open-source flexibility and simplicity.
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CrateDB
3.8 out of 5
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CrateDB
3.8 out of 5
ClickHouse offers unmatched query speed and efficiency for large data volumes, ideal for analytics. In comparison, CrateDB supports flexible data models and powerful SQL capabilities, making it suitable for environments where versatility is crucial. Both provide significant ROI, ClickHouse with competitive costs and CrateDB through advanced features.
ClickHouse offers a straightforward setup cost, appealing to users seeking simplicity, while CrateDB requires additional configuration investment, making it suitable for those needing more customized solutions.
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ClickHouse offers a straightforward setup cost, appealing to users seeking simplicity, while CrateDB requires additional configuration investment, making it suitable for those needing more customized solutions.

Related categories

Open Source Databases
Vector Databases
Relational Databases Tools