Best Database Software for Deepnote
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Compare the Top Database Software that integrates with Deepnote as of December 2025
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This a list of Database software that integrates with Deepnote. Use the filters on the left to add additional filters for products that have integrations with Deepnote. View the products that work with Deepnote in the table below.
What is Database Software for Deepnote?
Database software and database management systems are a type of software designed to store, manage and retrieve data. It is used to organize all kinds of information in an efficient manner, allowing users to quickly access the data they need. Many databases are tailored for specific purposes and applications, ranging from transaction processing systems to large-scale analytics platforms. Database software may be used on its own or connected with other software services for complex operations. Compare and read user reviews of the best Database software for Deepnote currently available using the table below. This list is updated regularly.
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1
Google Cloud BigQuery
Google
BigQuery is a powerful and flexible database that can handle both structured and semi-structured data at scale, making it suitable for a wide variety of use cases. It supports standard SQL for querying, enabling easy integration with existing workflows and tools. Its fully managed nature removes the complexity of database maintenance, allowing businesses to focus on deriving insights rather than managing infrastructure. New users can access $300 in free credits to test BigQuery’s capabilities, experimenting with both operational and analytical queries to see how it meets their needs for data storage and retrieval. With its robust security features, BigQuery also ensures that sensitive data remains protected, even at scale.Starting Price: Free ($300 in free credits) -
2
Google Cloud Platform
Google
Google Cloud Platform offers a variety of managed database services, including Cloud SQL, Cloud Spanner, and Cloud Firestore, to support different application needs. These services simplify database management and provide high availability, scalability, and security. New customers are granted $300 in free credits to run, test, and deploy workloads, allowing them to explore GCP’s database solutions and assess how these managed services can meet their business’s data storage and query requirements. GCP's database solutions are fully integrated with other services like BigQuery and Google Cloud Storage, enabling seamless data analytics workflows. Additionally, businesses can choose from relational and NoSQL databases, allowing them to select the best database for their specific use case. The platform’s automated scaling and management features reduce operational overhead, allowing businesses to focus on their applications rather than infrastructure.Starting Price: Free ($300 in free credits) -
3
MongoDB
MongoDB
MongoDB is a general purpose, document-based, distributed database built for modern application developers and for the cloud era. No database is more productive to use. Ship and iterate 3–5x faster with our flexible document data model and a unified query interface for any use case. Whether it’s your first customer or 20 million users around the world, meet your performance SLAs in any environment. Easily ensure high availability, protect data integrity, and meet the security and compliance standards for your mission-critical workloads. An integrated suite of cloud database services that allow you to address a wide variety of use cases, from transactional to analytical, from search to data visualizations. Launch secure mobile apps with native, edge-to-cloud sync and automatic conflict resolution. Run MongoDB anywhere, from your laptop to your data center.Starting Price: Free -
4
Snowflake
Snowflake
Snowflake is a comprehensive AI Data Cloud platform designed to eliminate data silos and simplify data architectures, enabling organizations to get more value from their data. The platform offers interoperable storage that provides near-infinite scale and access to diverse data sources, both inside and outside Snowflake. Its elastic compute engine delivers high performance for any number of users, workloads, and data volumes with seamless scalability. Snowflake’s Cortex AI accelerates enterprise AI by providing secure access to leading large language models (LLMs) and data chat services. The platform’s cloud services automate complex resource management, ensuring reliability and cost efficiency. Trusted by over 11,000 global customers across industries, Snowflake helps businesses collaborate on data, build data applications, and maintain a competitive edge.Starting Price: $2 compute/month -
5
Amazon Athena
Amazon
Amazon Athena is an interactive query service that makes it easy to analyze data in Amazon S3 using standard SQL. Athena is serverless, so there is no infrastructure to manage, and you pay only for the queries that you run. Athena is easy to use. Simply point to your data in Amazon S3, define the schema, and start querying using standard SQL. Most results are delivered within seconds. With Athena, there’s no need for complex ETL jobs to prepare your data for analysis. This makes it easy for anyone with SQL skills to quickly analyze large-scale datasets. Athena is out-of-the-box integrated with AWS Glue Data Catalog, allowing you to create a unified metadata repository across various services, crawl data sources to discover schemas and populate your Catalog with new and modified table and partition definitions, and maintain schema versioning.
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