Best Database as a Service (DBaaS) Providers for NetApp Cloud Insights
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Compare the Top Database as a Service (DBaaS) Providers that integrate with NetApp Cloud Insights as of June 2025
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This a list of Database as a Service (DBaaS) providers that integrate with NetApp Cloud Insights. Use the filters on the left to add additional filters for products that have integrations with NetApp Cloud Insights. View the products that work with NetApp Cloud Insights in the table below.
What are Database as a Service (DBaaS) Providers for NetApp Cloud Insights?
Database as a Service (DBaaS) providers offer cloud-based database management solutions, enabling users to store, access, and manage databases without handling the underlying infrastructure. These providers offer automated maintenance, backups, and scaling, allowing businesses to focus on application development rather than database administration. DBaaS supports various database types, including SQL, NoSQL, and NewSQL, making it suitable for a wide range of use cases. With pay-as-you-go pricing models, DBaaS reduces operational costs and provides on-demand scalability to handle fluctuating workloads. By leveraging DBaaS, companies can accelerate development, enhance reliability, and improve overall operational efficiency. Compare and read user reviews of the best Database as a Service (DBaaS) providers for NetApp Cloud Insights currently available using the table below. This list is updated regularly.
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Google Cloud Platform
Google
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.Starting Price: Free ($300 in free credits) -
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SAP HANA
SAP
SAP HANA in-memory database is for transactional and analytical workloads with any data type — on a single data copy. It breaks down the transactional and analytical silos in organizations, for quick decision-making, on premise and in the cloud. Innovate without boundaries on a database management system, where you can develop intelligent and live solutions for quick decision-making on a single data copy. And with advanced analytics, you can support next-generation transactional processing. Build data solutions with cloud-native scalability, speed, and performance. With the SAP HANA Cloud database, you can gain trusted, business-ready information from a single solution, while enabling security, privacy, and anonymization with proven enterprise reliability. An intelligent enterprise runs on insight from data – and more than ever, this insight must be delivered in real time. -
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Couchbase
Couchbase
Unlike other NoSQL databases, Couchbase provides an enterprise-class, multicloud to edge database that offers the robust capabilities required for business-critical applications on a highly scalable and available platform. As a distributed cloud-native database, Couchbase runs in modern dynamic environments and on any cloud, either customer-managed or fully managed as-a-service. Couchbase is built on open standards, combining the best of NoSQL with the power and familiarity of SQL, to simplify the transition from mainframe and relational databases. Couchbase Server is a multipurpose, distributed database that fuses the strengths of relational databases such as SQL and ACID transactions with JSON’s versatility, with a foundation that is extremely fast and scalable. It’s used across industries for things like user profiles, dynamic product catalogs, GenAI apps, vector search, high-speed caching, and much more.
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