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Top 10 CockroachDB Alternatives

Vendor: Cockroach
4.0 out of 5
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Top CockroachDB Competitors

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

Cockroach Alternatives Report

Learn what solutions real users are comparing with Cockroach, and compare use cases, valuable features, and pricing.
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SQL Server
4.2 out of 5
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SQL Server
4.2 out of 5
SQL Server offers advanced OLAP services and ease of administration for scalability needs. In comparison, CockroachDB provides high fault tolerance and geo-partitioning. SQL Server suits comprehensive workload solutions, whereas CockroachDB appeals to those prioritizing geographic decentralization and affordable pricing.
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SQL Server has a higher setup cost, while CockroachDB offers a more economical option for initial deployment.
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SQL Server has a higher setup cost, while CockroachDB offers a more economical option for initial deployment.
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Teradata
4.1 out of 5
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Teradata
4.1 out of 5
Teradata excels in large-scale data operations with advanced processing and robust architecture. In comparison, CockroachDB shines in distributed systems with high fault tolerance. Teradata suits data warehousing needs, while CockroachDB appeals to modern applications requiring distributed database solutions.
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Teradata has a higher setup cost than CockroachDB, which offers a more budget-friendly option.
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Teradata has a higher setup cost than CockroachDB, which offers a more budget-friendly option.
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MySQL
4.1 out of 5
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MySQL
4.1 out of 5
MySQL excels in multi-threaded architecture and robust SQL compatibility, ideal for web applications. In comparison, CockroachDB's high fault tolerance and distributed SQL make it suitable for scalable, resilient applications across data centers, addressing geo-partitioning and high-demand workloads effectively. Both cater to different deployment preferences.
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MySQL offers lower setup costs compared to CockroachDB, which has higher initial investment requirements.
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MySQL offers lower setup costs compared to CockroachDB, which has higher initial investment requirements.
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Oracle Database
4.3 out of 5
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Oracle Database
4.3 out of 5
Oracle Database is renowned for its extensive features and reliability, suiting large enterprises valuing comprehensive functionality. In comparison, CockroachDB shines with its cloud-native design and cost-effectiveness, appealing to businesses prioritizing distributed solutions and scalability over exhaustive feature sets.
Download CockroachDB vs. Oracle Database Report
Oracle Database typically has a higher setup cost, reflecting its extensive feature set and robust performance, while CockroachDB offers a more cost-effective setup, suitable for those seeking a scalable and distributed database solution.
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Oracle Database typically has a higher setup cost, reflecting its extensive feature set and robust performance, while CockroachDB offers a more cost-effective setup, suitable for those seeking a scalable and distributed database solution.
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SAP HANA
4.1 out of 5
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SAP HANA
4.1 out of 5
SAP HANA offers high-speed analytics and seamless SAP integration, ideal for enterprises managing vast data. In comparison, CockroachDB provides high fault-tolerance and geo-replication, suiting open-source enthusiasts needing distributed cloud solutions with PostgreSQL compatibility.
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SAP HANA has a higher setup cost, reflecting its robust enterprise-grade features, while CockroachDB offers a more cost-effective setup, appealing to startups and small businesses focusing on scalability and resilience.
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SAP HANA has a higher setup cost, reflecting its robust enterprise-grade features, while CockroachDB offers a more cost-effective setup, appealing to startups and small businesses focusing on scalability and resilience.
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MariaDB
4.1 out of 5
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MariaDB
4.1 out of 5
MariaDB offers ease of implementation and affordability, excelling in scalability and open-source flexibility. In comparison, CockroachDB provides automatic fault tolerance and geo-partitioning, ideal for applications needing high availability across locations, with strong disaster recovery and technical support enhancing its appeal to tech buyers.
Download CockroachDB vs. MariaDB Report
MariaDB offers lower setup costs, making it more budget-friendly, while CockroachDB requires a higher initial investment to benefit from its advanced features.
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MariaDB offers lower setup costs, making it more budget-friendly, while CockroachDB requires a higher initial investment to benefit from its advanced features.
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IBM Db2 Database
4.1 out of 5
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IBM Db2 Database
4.1 out of 5
IBM Db2 Database offers advanced SQL features, stability, and scalability, appealing to users seeking reliability. In comparison, CockroachDB's modern distributed architecture, ease of use, and cost-efficient licensing attract those prioritizing flexibility and affordability in distributed environments.
Download CockroachDB vs. IBM Db2 Database Report
IBM Db2 Database has a higher setup cost, while CockroachDB offers a more economical setup option, highlighting a significant difference in initial expenditure. These pricing disparities may impact preference depending on budget considerations.
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IBM Db2 Database has a higher setup cost, while CockroachDB offers a more economical setup option, highlighting a significant difference in initial expenditure. These pricing disparities may impact preference depending on budget considerations.
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Amazon Aurora
4.2 out of 5
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Amazon Aurora
4.2 out of 5
CockroachDB excels in high fault-tolerance and geo-partitioning with PostgreSQL compatibility and flexible deployment. In comparison, Amazon Aurora offers exceptional speed, seamless AWS integration, and managed services, making it appealing for those within the AWS ecosystem.
Download Amazon Aurora vs. CockroachDB Report
CockroachDB typically features a higher setup cost compared to Amazon Aurora's relatively lower initial expenses, highlighting a significant cost differentiation between the two solutions.
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CockroachDB typically features a higher setup cost compared to Amazon Aurora's relatively lower initial expenses, highlighting a significant cost differentiation between the two solutions.
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Citus Data
4.0 out of 5
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Citus Data
4.0 out of 5
Citus Data enables cost-effective scaling of PostgreSQL for seamless analytics. In comparison, CockroachDB excels with strong consistency and automated scaling, ideal for tech buyers desiring high availability. Citus Data's support and pricing appeal to those prioritizing affordability over comprehensive features.
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Citus Data setup costs include flexible deployment with manageable expenses, while CockroachDB entails potentially higher initial investment.
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Citus Data setup costs include flexible deployment with manageable expenses, while CockroachDB entails potentially higher initial investment.
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YugabyteDB
1 out of 5
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YugabyteDB
1 out of 5

YugabyteDB is a high-performance distributed SQL database for powering global, internet-scale applications. ... As a cloud native database, it can be deployed across public and private clouds as well as in Kubernetes environments with ease. YugabyteDB is developed and distributed as an Apache 2.0 open source project.

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Neon
1 out of 5
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Neon
1 out of 5
Users utilize Neon for managing data storage and enhancing database performance, appreciating its scalability and efficient handling of large volumes of information. Seamless integration with other systems, robust security measures, and reliable performance make it essential for data-driven operations. Enhanced data analytics, real-time collaboration tools, and proactive customer support boost efficiency.
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SQream DB
1 out of 5
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SQream DB
1 out of 5
SQream DB is a relational database management systems (RDBMS) that uses graphics processing units(GPUs) from Nvidia. SQream DB is designed for big data analytics using the Structured Query Language (SQL).
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SurrealDB
1 out of 5
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SurrealDB
1 out of 5
SurrealDB is designed for data-intensive applications, offering a flexible and advanced querying system that supports complex data relationships. It integrates seamlessly with existing systems. Some users find that the documentation could be enhanced and indexing capabilities expanded to further boost performance and usability.
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