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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 offers efficient parallel processing, making it ideal for large datasets and data warehousing. In comparison, CockroachDB excels in geo-replication and fault tolerance, suitable for distributed environments. Tech buyers might choose Teradata for robust security or CockroachDB for cost-effectiveness and flexibility.
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Teradata has higher initial setup costs compared to CockroachDB, which is known for its cost-effective implementation.
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Teradata has higher initial setup costs compared to CockroachDB, which is known for its cost-effective implementation.
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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 real-time operations and in-memory data processing, ideal for complex analytics. In comparison, CockroachDB excels in distributed architecture, providing fault tolerance and geo-replication. SAP HANA faces high costs, while CockroachDB benefits from manageable pricing and PostgreSQL compatibility challenges.
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SAP HANA has a high initial setup cost compared to CockroachDB, which offers a more affordable setup.
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SAP HANA has a high initial setup cost compared to CockroachDB, which offers a more affordable setup.
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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.
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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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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.
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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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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
4.1 out of 5
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Amazon Aurora
4.1 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.
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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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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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Oracle Database In-Memory
4.4 out of 5
Oracle Database In-Memory enhances performance with features like multitenancy and extensive security, appealing to large-scale analytics setups. In comparison, CockroachDB's fault tolerance and geo-replication suit distributed applications, attracting users seeking affordable pricing and cloud flexibility.
Download CockroachDB vs. Oracle Database In-Memory Report
Oracle Database In-Memory has a high setup cost, whereas CockroachDB offers a more cost-effective setup option. This significant difference can help businesses choose according to their budget constraints.
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Oracle Database In-Memory has a high setup cost, whereas CockroachDB offers a more cost-effective setup option. This significant difference can help businesses choose according to their budget constraints.
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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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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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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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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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