Google Cloud SQL
Cloud SQL is a fully managed relational database service that supports MySQL, PostgreSQL, and SQL Server. It includes rich extensions, configuration flags, and developer ecosystems. Cloud SQL offers $300 in credits for new customers. You won't pay until you upgrade. Reduce maintenance costs by using fully managed MySQL, PostgreSQL, and SQL Server databases. The SRE team provides 24/7 support for reliable and secure services. Data encryption in transit and at rest ensures the highest level of security. Private connectivity with Virtual Private Cloud, user-controlled network access, and firewall protection add an additional layer of safety.
Compliant with SSAE 16, ISO 27001, PCI DSS, and HIPAA, you can trust your data to be protected. Scale your database instances with a single API request, whether you are just testing or need a highly available database in production. Standard connection drivers and integrated migration tools let you create and connect to a database in a matter of minutes.
Transform your database management with AI-driven support in Gemini, currently available in preview on Cloud SQL. It enhances development, optimizes performance, and simplifies fleet management, governance, and migration.
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RaimaDB
RaimaDB, an embedded time series database that can be used for Edge and IoT devices, can run in-memory. It is a lightweight, secure, and extremely powerful RDBMS. It has been field tested by more than 20 000 developers around the world and has been deployed in excess of 25 000 000 times.
RaimaDB is a high-performance, cross-platform embedded database optimized for mission-critical applications in industries such as IoT and edge computing. Its lightweight design makes it ideal for resource-constrained environments, supporting both in-memory and persistent storage options. RaimaDB offers flexible data modeling, including traditional relational models and direct relationships through network model sets. With ACID-compliant transactions and advanced indexing methods like B+Tree, Hash Table, R-Tree, and AVL-Tree, it ensures data reliability and efficiency. Built for real-time processing, it incorporates multi-version concurrency control (MVCC) and snapshot isolation, making it a robust solution for applications demanding speed and reliability.
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TeamDesk
TeamDesk is the leading AI-enhanced Low-Code database platform for creating powerful and flexible web-based databases with AI assisted development and AI-enhanced data analysis.
TechRadar named TeamDesk as the best database platform of the year.
TeamDesk provides Artificial Intelligence as well as predefined solutions for rapid online database creation without coding.
Business owners and citizen developers can utilize AI to build unique databases for any type of industry that precisely fit their business workflow and organize gathering, sharing and managing business information.
TeamDesk online database software is fully scalable and customizable to accommodate customers’ ever evolving business needs.
TeamDesk provides:
AI (Artificial Intelligence) integration
AI-Assisted Development
AI-enhanced Data Analysis
API, Web hooks, Zapier
unlimited data storage
unlimited number of records and tables
unlimited database complexity
free trial
free unlimited support
for a low flat rate.
TeamDesk is fully scalable.
From small companies to large enterprises, from specific manufactures to vertical business integration, system scalability accommodates customers' business growth and adjusts to evolving business model.
Enterprise Edition supports custom domain, white labeling, SSO via SAML2, unlimited databases centralized security management.
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PolarDB-X
PolarDB-X has proven its reliability during the Tmall Double 11 shopping events and has assisted clients in various sectors, including finance, logistics, energy, e-commerce, and public services, in overcoming their business obstacles. It offers scalable storage solutions that can expand linearly to accommodate petabyte-scale demands, thereby eliminating the constraints associated with traditional standalone databases. Additionally, it features massively parallel processing (MPP) capabilities that greatly enhance the efficiency of performing complex analyses and executing queries on large datasets. Furthermore, it employs sophisticated algorithms to distribute data across multiple storage nodes, which effectively minimizes the amount of data held within individual tables. This advanced architecture not only optimizes performance but also ensures that businesses can handle their data needs flexibly and efficiently.
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