Top 10 IBM Cloud Databases for MySQL Alternatives & Competitors

Top 10 Alternatives to IBM Cloud Databases for MySQL Recently Reviewed By G2 Community

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Amazon Relational Database Service (RDS)
By Amazon Web Services (AWS)
4.5/5
(908)
Product Description
Amazon Relational Database Service (RDS) is a web service that makes it easy to set up, operate, and scale a relational DB in the cloud: Amazon Aurora, PostgreSQL, MySQL, MariaDB, Oracle, and Microsoft SQL Server.
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Categories in common with IBM Cloud Databases for MySQL:
Database as a Service (DBaaS)

Ninox
By Ninox Software GmbH
4.7/5
(362)
Product Description
Ninox is the easy no-code platform for everyone. Create your own Business Application that matches your workflow. Additionally Ninox promotes team collaboration functionalities and the integration of the most common used services e.g. Google and many more.
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Categories in common with IBM Cloud Databases for MySQL:
Database as a Service (DBaaS)

Amazon Aurora
By Amazon Web Services (AWS)
4.5/5
(457)
Product Description
Amazon Aurora is a fully managed relational database service that combines the performance and availability of high-end commercial databases with the simplicity and cost-effectiveness of open-source databases. Compatible with MySQL and PostgreSQL, Aurora delivers up to five times the throughput of standard MySQL databases and up to three times that of standard PostgreSQL databases. It is designed for high availability, offering up to 99.99% availability within a single region and up to 99.999% across multiple regions. Aurora's architecture includes a distributed, fault-tolerant storage system that automatically scales up to 128 tebibytes, ensuring continuous data access and durability. Additionally, Aurora provides serverless configurations, allowing automatic scaling based on application needs, and integrates seamlessly with other AWS services for machine learning and analytics. Key Features and Functionality: - High Performance: Delivers up to five times the throughput of MySQL and three times that of PostgreSQL, enabling efficient handling of demanding workloads. - High Availability: Designed for up to 99.99% availability within a single region and up to 99.999% across multiple regions, ensuring continuous data access. - Scalability: Automatically scales storage up to 128 tebibytes and supports up to 15 read replicas for read-intensive applications. - Serverless Configuration: Offers Aurora Serverless, which automatically adjusts capacity based on application demand, eliminating the need for manual provisioning. - Machine Learning Integration: Integrates with Amazon SageMaker and Amazon Comprehend, allowing for in-database machine learning capabilities without data movement. - Security: Provides multiple layers of security, including network isolation, encryption at rest and in transit, and compliance with various industry standards. Primary Value and Solutions Provided: Amazon Aurora addresses the need for a high-performance, highly available, and scalable relational database service that is cost-effective and easy to manage. By offering compatibility with MySQL and PostgreSQL, it allows organizations to migrate existing applications without significant code changes. Aurora's automatic scaling and serverless options cater to applications with variable workloads, reducing operational overhead and costs. Its integration with AWS machine learning services enables real-time analytics and predictive capabilities directly within the database, enhancing application functionality. Overall, Aurora simplifies database management while delivering enterprise-grade performance and reliability.
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Categories in common with IBM Cloud Databases for MySQL:
Database as a Service (DBaaS)

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Google Cloud SQL
By Google
4.5/5
(366)
Product Description
Cloud SQL is a fully managed, relational database service for running PostgreSQL, MySQL and SQL Server workloads. It's an ideal choice if you want to lift & shift an existing database or build a new application in the cloud.
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Categories in common with IBM Cloud Databases for MySQL:
Database as a Service (DBaaS)

SAP HANA Cloud
By SAP
4.3/5
(621)
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.
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Categories in common with IBM Cloud Databases for MySQL:
Database as a Service (DBaaS)

MongoDB Atlas
By MongoDB
4.5/5
(371)
Product Description
MongoDB Atlas empowers innovators to create, transform, and disrupt industries by unleashing the power of software and data.
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Categories in common with IBM Cloud Databases for MySQL:
Database as a Service (DBaaS)

DigitalOcean
By DigitalOcean
4.6/5
(749)
Product Description
DigitalOcean provides the best tools to control your virtual server in the cloud. Learn how we deliver the most intuitive interface and features so you can start building your web infrastructure today.
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Reviewers say compared to IBM Cloud Databases for MySQL, DigitalOcean is:
More usable
Categories in common with IBM Cloud Databases for MySQL:
Database as a Service (DBaaS)

Amazon DynamoDB
By Amazon Web Services (AWS)
4.4/5
(530)
Product Description
Nonrelational database for applications that need performance at any scale
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Categories in common with IBM Cloud Databases for MySQL:
Database as a Service (DBaaS)

ScyllaDB
By ScyllaDB
4.5/5
(427)
Product Description
Manage terabytes to petabytes of digital information with millions of read/write operations and msec P99 response. Our high availability architecture takes full advantage of modern infrastructure and networking capabilities. This translates to dramatically higher throughput and lower latency--eliminating barriers to scale.
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Categories in common with IBM Cloud Databases for MySQL:
Database as a Service (DBaaS)