Best Database as a Service (DBaaS) Providers

BigQuery offers a Database as a Service (DBaaS) model, providing fully managed data storage, query execution, and infrastructure without the need for users to manage servers or hardware. This serverless platform is designed for scalability, ensuring that businesses can handle large datasets without worrying about capacity or performance issues. BigQuery’s flexibility and ease of use make it an excellent choice for organizations seeking a DBaaS solution. New customers receive $300 in free credits, allowing them to explore BigQuery's features and experience its DBaaS capabilities without upfront costs. This approach eliminates database administration overhead, making it ideal for teams looking to focus on data analysis rather than maintenance.

Google Cloud Platform provides Database as a Service (DBaaS) options like Cloud SQL, Cloud Spanner, and Cloud Bigtable, offering fully managed database solutions with automatic scaling, patching, and high availability. These DBaaS offerings reduce the operational overhead of managing databases and are ideal for businesses looking to streamline database operations. New customers receive $300 in free credits to run, test, and deploy workloads, allowing them to experiment with DBaaS solutions on GCP with no upfront costs. These services are designed to handle everything from backups and security to updates, ensuring that businesses can focus on their core applications. GCP also provides cross-region replication, ensuring that databases remain highly available even during system failures. The platform's flexibility allows businesses to choose the right database model, whether relational or NoSQL, to suit their workload needs.

Zoho Creator is an all-in-one low-code application development software that is designed to help businesses digitize their operations without the hassle of traditional development. The platform lets businesses of all sizes 1. Manage their data and workflows, 2. Derive insights from their database, and 3. Link-up seamlessly with their existing software. We believe that each business is unique in its own way and our platform is built to address this uniqueness. More than 13,000 businesses with an excess of 7 million users around the world trust us to be their technology partner and you can also start your custom application journey today.

The simplest cloud platform for developers & teams. Deploy, manage, and scale cloud applications faster and more efficiently on DigitalOcean. DigitalOcean makes managing infrastructure easy for teams and businesses, whether you’re running one virtual machine or ten thousand. DigitalOcean App Platform: Build, deploy, and scale apps quickly using a simple, fully managed solution. We’ll handle the infrastructure, app runtimes and dependencies, so that you can push code to production in just a few clicks. Use a simple, intuitive, and visually rich experience to rapidly build, deploy, manage, and scale apps. Secure apps automatically. We create, manage and renew your SSL certificates and also protect your apps from DDoS attacks. Focus on what matters the most: building awesome apps. Let us handle provisioning and managing infrastructure, operating systems, databases, application runtimes, and other dependencies.

Ragic is a no-code database builder that allows its user to build their own system according to their own workflow with a spread-sheet like interface that is as quick and as intuitive, capable of building small contact management systems to fully fledged ERP systems.

Natively store data for graph, document and search needs. Utilize feature-rich access with one query language. Map data natively to the database and access it with the best patterns for the job – traversals, joins, search, ranking, geospatial, aggregations – you name it. Polyglot persistence without the costs. Easily design, scale and adapt your architectures to changing needs and with much less effort. Combine the flexibility of JSON with semantic search and graph technology for next generation feature extraction even for large datasets.