Compare the Top Serverless Databases using the curated list below to find the Best Serverless Databases for your needs.
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Google Cloud BigQuery
Google
Free ($300 in free credits) 2,017 RatingsBigQuery operates as a completely serverless database, which eliminates the need for users to manage infrastructure or plan for capacity. Its architecture automatically adjusts to accommodate any workload requirements, ensuring consistent performance no matter how much data is involved. This enables organizations to concentrate on data analysis instead of server maintenance or provisioning. New users have the opportunity to explore BigQuery's serverless capabilities with $300 in complimentary credits, providing a firsthand experience of the advantages offered by a serverless database. This model guarantees that users can leverage the comprehensive capabilities of BigQuery without the burden of conventional operational responsibilities. -
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Movestax is a platform that focuses on serverless functions for builders. Movestax offers a range of services, including serverless functions, databases and authentication. Movestax has the services that you need to grow, whether you're starting out or scaling quickly. Instantly deploy frontend and backend apps with integrated CI/CD. PostgreSQL and MySQL are fully managed, scalable, and just work. Create sophisticated workflows and integrate them directly into your cloud infrastructure. Run serverless functions to automate tasks without managing servers. Movestax's integrated authentication system simplifies user management. Accelerate development by leveraging pre-built APIs. Object storage is a secure, scalable way to store and retrieve files.
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MongoDB
MongoDB
Free 20 RatingsMongoDB is a versatile, document-oriented, distributed database designed specifically for contemporary application developers and the cloud landscape. It offers unparalleled productivity, enabling teams to ship and iterate products 3 to 5 times faster thanks to its adaptable document data model and a single query interface that caters to diverse needs. Regardless of whether you're serving your very first customer or managing 20 million users globally, you'll be able to meet your performance service level agreements in any setting. The platform simplifies high availability, safeguards data integrity, and adheres to the security and compliance requirements for your critical workloads. Additionally, it features a comprehensive suite of cloud database services that support a broad array of use cases, including transactional processing, analytics, search functionality, and data visualizations. Furthermore, you can easily deploy secure mobile applications with built-in edge-to-cloud synchronization and automatic resolution of conflicts. MongoDB's flexibility allows you to operate it in various environments, from personal laptops to extensive data centers, making it a highly adaptable solution for modern data management challenges. -
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Google Cloud Firestore
Google
3 RatingsCloud Firestore is a highly efficient, fully managed, serverless NoSQL document database designed to streamline the storage, synchronization, and querying of data for mobile, web, and IoT applications on a global scale. It features client libraries that ensure real-time synchronization and offline capabilities, while its security measures and seamless integrations with Firebase and Google Cloud Platform (GCP) facilitate the rapid development of genuinely serverless applications. With an emphasis on providing an excellent developer experience, Firestore incorporates built-in live synchronization, offline support, and ACID transactions, all accessible through a comprehensive array of client and server-side libraries. The system automatically adjusts to varying demand levels, eliminating the need for maintenance and delivering impressive availability rates between 99.99% and 99.999% through reliable data replication. Operating as a no-operations database, it allows users to pay solely for what they consume, avoiding upfront costs and issues related to underutilization of resources. Its simplified architecture enables direct communication between your applications and Firestore, enhancing overall efficiency and performance. Additionally, the continuous updates and improvements to the platform ensure that developers can leverage the latest features and security enhancements effortlessly. -
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Vercel delivers a modern AI Cloud environment built to help developers create and launch highly optimized web applications with ease. Its platform combines intelligent infrastructure, ready-made templates, and seamless git-based deployment to reduce engineering overhead and accelerate product delivery. Developers can leverage support for leading frameworks such as Next.js, Astro, Nuxt, and Svelte to build visually rich, lightning-fast interfaces. Vercel’s expanding AI ecosystem—including the AI Gateway, SDKs, and workflow automation—makes it simple to connect to hundreds of AI models and use them inside any digital product. With fluid compute and global edge distribution, every deployment is instantly propagated for performance at any scale. The platform’s speed advantage has enabled companies like Runway and Zapier to drastically reduce build times and page load speeds. Built-in security and advanced monitoring tools ensure applications remain dependable and compliant. Overall, Vercel helps teams innovate faster while delivering experiences that feel responsive, intelligent, and personalized to every user.
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Amazon Aurora
Amazon
$0.02 per month 1 RatingAmazon Aurora is a cloud-based relational database that is compatible with both MySQL and PostgreSQL, merging the high performance and reliability of traditional enterprise databases with the ease and affordability of open-source solutions. Its performance surpasses that of standard MySQL databases by as much as five times and outpaces standard PostgreSQL databases by three times. Additionally, it offers the security, availability, and dependability synonymous with commercial databases, all at a fraction of the cost—specifically, one-tenth. Fully managed by the Amazon Relational Database Service (RDS), Aurora simplifies operations by automating essential tasks such as hardware provisioning, database configuration, applying patches, and conducting backups. The database boasts a self-healing, fault-tolerant storage system that automatically scales to accommodate up to 64TB for each database instance. Furthermore, Amazon Aurora ensures high performance and availability through features like the provision of up to 15 low-latency read replicas, point-in-time recovery options, continuous backups to Amazon S3, and data replication across three distinct Availability Zones, which enhances data resilience and accessibility. This combination of features makes Amazon Aurora an appealing choice for businesses looking to leverage the cloud for their database needs while maintaining robust performance and security. -
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MongoDB Atlas stands out as the leading cloud database service available, offering unparalleled data distribution and seamless mobility across all major platforms, including AWS, Azure, and Google Cloud. Its built-in automation tools enhance resource management and workload optimization, making it the go-to choice for modern application deployment. As a fully managed service, it ensures best-in-class automation and adheres to established practices that support high availability, scalability, and compliance with stringent data security and privacy regulations. Furthermore, MongoDB Atlas provides robust security controls tailored for your data needs, allowing for the integration of enterprise-grade features that align with existing security protocols and compliance measures. With preconfigured elements for authentication, authorization, and encryption, you can rest assured that your data remains secure and protected at all times. Ultimately, MongoDB Atlas not only simplifies deployment and scaling in the cloud but also fortifies your data with comprehensive security features that adapt to evolving requirements.
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Amazon DynamoDB
Amazon
1 RatingAmazon DynamoDB is a versatile key-value and document database that provides exceptional single-digit millisecond performance, regardless of scale. As a fully managed service, it offers multi-region, multimaster durability along with integrated security features, backup and restore capabilities, and in-memory caching designed for internet-scale applications. With the ability to handle over 10 trillion requests daily and support peak loads exceeding 20 million requests per second, it serves a wide range of businesses. Prominent companies like Lyft, Airbnb, and Redfin, alongside major enterprises such as Samsung, Toyota, and Capital One, rely on DynamoDB for their critical operations, leveraging its scalability and performance. This allows organizations to concentrate on fostering innovation without the burden of operational management. You can create an immersive gaming platform that manages player data, session histories, and leaderboards for millions of users simultaneously. Additionally, it facilitates the implementation of design patterns for various applications like shopping carts, workflow engines, inventory management, and customer profiles. DynamoDB is well-equipped to handle high-traffic, large-scale events seamlessly, making it an ideal choice for modern applications. -
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CockroachDB
Cockroach Labs
1 RatingCockroachDB: Cloud-native distributed SQL. Your cloud applications deserve a cloud-native database. Cloud-based apps and services need a database that can scale across clouds, reduces operational complexity, and improves reliability. CockroachDB provides resilient, distributed SQL with ACID transactions. Data partitioned by geography is also available. Combining CockroachDB and orchestration tools such as Mesosphere DC/OS and Kubernetes to automate mission-critical applications can speed up operations. -
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Fauna
Fauna
FreeFauna is a data API that supports rich clients with serverless backends. It provides a web-native interface that supports GraphQL, custom business logic, frictionless integration to the serverless ecosystem, and a multi-cloud architecture that you can trust and grow with. -
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Azure SQL Database
Microsoft
$0.5218 per vCore-hourAzure SQL Database, a member of the Azure SQL suite, is a sophisticated and adaptable relational database service designed specifically for cloud environments. It is continuously updated, ensuring you benefit from the latest advancements, including AI-driven features that enhance both performance and reliability. With serverless computing and Hyperscale storage options, resources can effortlessly adjust according to your needs, allowing you to concentrate on creating innovative applications without the stress of managing storage or resources. This fully managed SQL database simplifies the challenges of ensuring high availability, performing tuning, handling backups, and executing other essential database management tasks. You can expedite your application development on the unique cloud platform that offers evergreen SQL, utilizing up-to-date SQL Server features while remaining free from concerns about updates, upgrades, or the end of support. Customize your modern app development experience with both provisioned and serverless compute choices, ensuring flexibility and efficiency tailored to your specific needs. This way, you can unleash your creativity while relying on a robust foundation. -
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Xata
Xata
$8 per unit per monthXata integrates the features of a relational database, analytics engine, and free-text search engine into one cohesive platform. Its user-friendly, spreadsheet-like interface, paired with a robust data API, offers granular security, seamless zero-downtime migrations, subscription options, ACID compliance, and built-in caching. If you can deploy your application without server concerns, why should database services be any different? The straightforward global RESTful API facilitates data insertion, querying, aggregation, and search, making it an ideal partner for Serverless and No-Code/Low-Code development environments. Xata empowers users to gradually construct their database schema while incorporating sample data, all through an intuitive interface reminiscent of a spreadsheet. New tables, columns, and data can be easily added, alongside the ability to create queries and views. This iterative approach not only offers flexibility during development but also ensures that as the application scales, the enforced schema maintains data integrity and security. With Xata, developers can focus on building their applications without the complexity of traditional database management. -
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Upstash
Upstash
$0.2 per 100K commandsCombine the rapid performance of in-memory solutions with the reliability of disk storage to unlock a variety of applications that extend beyond mere caching. By utilizing global databases with multi-region replication, you can enhance your system’s resilience. Experience true Serverless Kafka where costs can dwindle to zero, as you only incur charges based on your usage with a per-request pricing model. This allows you to produce and consume Kafka topics from virtually anywhere through a user-friendly built-in REST API. Begin with a free tier, and only pay for what you utilize, ensuring that costly server instances are a thing of the past. With Upstash, you can scale as needed without ever exceeding your predetermined cap price, providing peace of mind. The Upstash REST API also facilitates seamless integration with Cloudflare Workers and Fastly Compute@Edge. Thanks to the global database functionality, you can enjoy low-latency access to your data from any location. The combination of fast data access, ease of use, and flexible pay-per-request pricing position Upstash as an ideal solution for Jamstack and Serverless applications. Unlike traditional server models where you are charged by the hour or at a fixed rate, the Serverless approach ensures you only pay for what you request, making it a cost-effective alternative. This paradigm shift allows developers to focus on innovation rather than infrastructure management. -
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PlanetScale
PlanetScale
$5 per monthPlanetScale offers the cloud's highest-performance databases. With both Postgres and Vitess options, you get outstanding speed and dependability — and Vitess takes it further with massive horizontal scalability through sharding. Powered by high-performance NVMe storage, there's no ceiling on IOPS, closing the gap between traditional data centers and the cloud. Whether you have strict security policies or compliance needs, PlanetScale has a deployment option to fit — including dedicated infrastructure through PlanetScale Managed. -
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ScyllaDB
ScyllaDB
ScyllaDB serves as an ideal database solution for applications that demand high performance and minimal latency, catering specifically to data-intensive needs. It empowers teams to fully utilize the growing computing capabilities of modern infrastructures, effectively removing obstacles to scaling as data volumes expand. Distinct from other database systems, ScyllaDB stands out as a distributed NoSQL database that is completely compatible with both Apache Cassandra and Amazon DynamoDB, while incorporating significant architectural innovations that deliver outstanding user experiences at significantly reduced costs. Over 400 transformative companies, including Disney+ Hotstar, Expedia, FireEye, Discord, Zillow, Starbucks, Comcast, and Samsung, rely on ScyllaDB to tackle their most challenging database requirements. Furthermore, ScyllaDB is offered in various formats, including a free open-source version, a fully-supported enterprise solution, and a fully managed database-as-a-service (DBaaS) available across multiple cloud platforms, ensuring flexibility for diverse user needs. This versatility makes it an attractive choice for organizations looking to optimize their database performance. -
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Amazon ElastiCache
Amazon
Amazon ElastiCache enables users to effortlessly establish, operate, and expand widely-used open-source compatible in-memory data stores in the cloud environment. It empowers the development of data-driven applications or enhances the efficiency of existing databases by allowing quick access to data through high throughput and minimal latency in-memory stores. This service is particularly favored for various real-time applications such as caching, session management, gaming, geospatial services, real-time analytics, and queuing. With fully managed options for Redis and Memcached, Amazon ElastiCache caters to demanding applications that necessitate response times in the sub-millisecond range. Functioning as both an in-memory data store and a cache, it is designed to meet the needs of applications that require rapid data retrieval. Furthermore, by utilizing a fully optimized architecture that operates on dedicated nodes for each customer, Amazon ElastiCache guarantees incredibly fast and secure performance for its users' critical workloads. This makes it an essential tool for businesses looking to enhance their application's responsiveness and scalability. -
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Supabase
Supabase
$25 per monthLaunch a backend in under two minutes by starting with a Postgres database that includes features like authentication, instant APIs, real-time subscriptions, and storage capabilities. Accelerate your development process and direct your efforts toward enhancing your products. Each project utilizes a complete Postgres database, recognized globally as a reliable relational database. Implement user sign-ups and logins while ensuring data security through Row Level Security measures. Facilitate the storage, organization, and serving of large files, accommodating various media types such as videos and images. Customize your code and set up cron jobs seamlessly without the need to deploy or manage scaling servers. There are numerous example applications and starter projects available to help you get started quickly. The platform automatically introspects your database to generate APIs instantly, allowing you to avoid the tedious task of creating repetitive CRUD endpoints and concentrate on your product's development. Type definitions are automatically created from your database schema, enabling a more streamlined coding experience. You can also use Supabase directly in your browser without a complicated build process, and develop locally before deploying to production at your convenience. Manage your Supabase projects effectively right from your local machine, ensuring a smooth and efficient workflow throughout your development journey. -
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Astra DB
DataStax
Astra DB from DataStax is a real-time vector database as a service for developers that need to get accurate Generative AI applications into production, fast. Astra DB gives you a set of elegant APIs supporting multiple languages and standards, powerful data pipelines and complete ecosystem integrations. Astra DB enables you to quickly build Gen AI applications on your real-time data for more accurate AI that you can deploy in production. Built on Apache Cassandra, Astra DB is the only vector database that can make vector updates immediately available to applications and scale to the largest real-time data and streaming workloads, securely on any cloud. Astra DB offers unprecedented serverless, pay as you go pricing and the flexibility of multi-cloud and open-source. You can store up to 80GB and/or perform 20 million operations per month. Securely connect to VPC peering and private links. Manage your encryption keys with your own key management. SAML SSO secure account accessibility. You can deploy on Amazon, Google Cloud, or Microsoft Azure while still compatible with open-source Apache Cassandra. -
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Laravel Vapor
Laravel
$39 per monthVapor goes beyond simply handling deployments; it allows you to create, oversee, scale, and restore both traditional and serverless databases seamlessly through its user-friendly dashboard. You can write and send your Laravel jobs effortlessly, and you will witness the remarkable capabilities of serverless scalability as numerous jobs are processed simultaneously without any additional setup required. With Vapor's integrated JavaScript utilities, uploading files straight to S3 from your application's frontend becomes a breeze. It truly feels like magic. Additionally, Vapor keeps track of various metrics related to your applications, databases, and caches, ensuring that you maintain a clear view of your application's overall health. You will receive notifications if the performance dips below expectations. Management of your application's DNS records is conveniently handled through either the Vapor UI or CLI, enabling a streamlined workflow. Furthermore, each Vapor application is granted a complimentary, auto-renewing SSL certificate at the time of deployment, adding an extra layer of security. This holistic approach not only simplifies your development process but also enhances the reliability of your applications. -
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Neon
Neon
Neon offers a fully managed multi-cloud Postgres solution with an appealing free tier. By decoupling storage from computing, we enable features such as autoscaling, branching, and virtually limitless storage options. This separation allows for on-demand scalability, where compute resources are activated upon an incoming connection and can scale down to zero when idle. Utilizing the "copy-on-write" method, Neon storage supports data branching, online checkpointing, and point-in-time restoration, thus eliminating the costly full-data backup and restore processes typical of conventional database-as-a-service models. With Neon, you can effortlessly branch your Postgres database, catering to contemporary development workflows, and create branches for testing environments as well as for every deployment in your CI/CD pipeline. Our serverless architecture is designed to minimize costs associated with computing and storage. Notably, Neon's autoscaling features help avoid over-provisioning, ensuring you only pay for the resources you actually use, making it a cost-effective choice for developers. This innovative approach transforms how databases are managed and utilized in various development scenarios. -
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SurrealDB
SurrealDB
SurrealDB provides a versatile and flexible platform tailored for businesses. With a comprehensive array of advanced database solutions, tools, and services, SurrealDB enables teams to uncover creative solutions through products specifically designed to align with their needs. The query language utilized by SurrealDB bears a resemblance to traditional SQL, yet it is capable of handling time-series and interconnected graph data with ease. SurrealQL is a sophisticated query language that incorporates programming language features, empowering developers and data analysts to engage with SurrealDB in a manner that suits their preferences. Users can connect directly to SurrealDB from any client device, allowing them to execute SurrealQL queries straight within web browsers, which ensures that data access remains secure and permissions are upheld. The platform boasts highly efficient WebSocket connections that facilitate seamless bi-directional communication for queries, responses, and real-time notifications, enhancing the overall user experience. This ability to maintain constant connectivity and responsiveness sets SurrealDB apart in the realm of database solutions.
Serverless Databases Overview
Serverless databases make database management far less complicated by removing many of the infrastructure tasks that usually consume valuable time. Instead of worrying about server capacity, updates, or ongoing maintenance, organizations can concentrate on creating reliable applications and delivering better user experiences. As workloads increase or decrease, the platform adjusts available resources automatically, helping teams avoid unnecessary manual work while keeping performance steady.
For businesses that want flexibility without adding administrative overhead, serverless databases offer a practical solution. They work well for projects with changing usage patterns, rapid growth, or uncertain demand because resources are provided when needed instead of being permanently reserved. This allows organizations to control operating costs more effectively while giving developers the freedom to build, test, and expand applications without constantly managing the underlying database infrastructure.
Serverless Databases Features
- Flexible capacity: Resources grow during busy periods and shrink afterward, helping businesses match database performance with changing workloads.
- Recovery options: Backup and restoration capabilities simplify data recovery after unexpected incidents or operational mistakes.
- Usage-based billing: Organizations pay for what they consume instead of reserving fixed database resources year-round.
- Maintenance automation: Routine updates, patching, and infrastructure management happen behind the scenes with minimal manual effort.
- Secure data protection: Authentication, encryption, and permission controls help reduce unauthorized database access.
- Performance visibility: Dashboards and reporting tools reveal trends, bottlenecks, and resource consumption for informed decision-making.
- Reliable availability: Redundant infrastructure helps keep database services accessible even when individual components experience failures.
The Importance of Serverless Databases
Serverless databases matter because they reduce the operational work involved in managing data infrastructure while allowing organizations to respond more quickly to changing business needs. Instead of estimating future capacity months in advance, teams can focus on building new features and improving customer experiences, knowing the database can adjust as demand shifts. This flexibility also helps businesses avoid wasting resources during slower periods while maintaining reliable performance during traffic spikes.
As organizations collect more information from websites, mobile applications, analytics, and ecommerce platforms, scalable data management becomes increasingly important. Serverless databases support that growth without requiring constant infrastructure planning, making them a practical choice for businesses of different sizes. By simplifying maintenance and resource allocation, they allow technical teams to spend more time delivering value instead of handling routine administrative tasks.
Why Use Serverless Databases?
- Support unpredictable traffic: Handle sudden demand increases without spending time adjusting infrastructure manually.
- Reduce ongoing administration: Spend less effort maintaining databases and more time delivering valuable business features.
- Launch projects sooner: Quickly provision database resources when deadlines require fast implementation.
- Improve budget control: Pay according to actual usage instead of maintaining excess capacity year-round.
- Strengthen reliability: Built-in resilience helps keep applications available even when infrastructure components experience issues.
- Simplify growth: Expand applications confidently without constantly redesigning database capacity plans.
- Increase team productivity: Developers can concentrate on creating features rather than managing backend infrastructure.
- Adapt to changing workloads: Scale resources automatically as business activity rises or falls.
- Speed up innovation: Test ideas faster by creating and removing database environments with minimal operational effort.
What Types of Users Can Benefit From Serverless Databases?
- eCommerce businesses: Handle seasonal traffic spikes without constantly adjusting database infrastructure manually.
- Cloud architects: Design modern applications using databases that scale alongside changing workloads.
- Software development teams: Spend more time creating features instead of maintaining database environments.
- Educational institutions: Support online learning platforms while minimizing database administration responsibilities.
- Independent developers: Build and launch applications without investing heavily in infrastructure management.
- Healthcare organizations: Maintain responsive applications while simplifying database operations for critical services.
- Financial service providers: Manage variable transaction volumes using databases that adapt automatically.
- Research organizations: Store and analyze expanding datasets without worrying about capacity planning.
- Media companies: Support unpredictable audience demand while keeping database performance consistent.
How Much Do Serverless Databases Cost?
Serverless databases can be an affordable option for businesses that want to avoid paying for unused infrastructure. Since pricing is commonly tied to actual usage, organizations with lighter or seasonal workloads may spend much less than they would with traditional database deployments. As applications grow and process more transactions, monthly costs naturally increase to match the additional demand. This makes it easier to start small while leaving room for future expansion.
Looking only at the base price does not provide the full picture. Storage growth, backup policies, data transfers, monitoring features, and advanced security capabilities can all contribute to the final bill. Businesses should estimate both current and future usage before choosing a pricing model. Taking the time to understand how charges are calculated can help prevent unexpected expenses and ensure the selected serverless database delivers long-term value.
What Software Can Integrate with Serverless Databases?
Serverless databases fit into a wide range of technology environments because they are designed to connect with many business applications through APIs, connectors, and cloud services. Teams often link them with analytics tools, reporting platforms, authentication software, workflow automation solutions, and data integration platforms to keep information moving between systems without adding unnecessary complexity. This flexibility helps organizations build efficient processes while reducing the effort needed to manage underlying infrastructure.
They also work alongside monitoring platforms, security tools, backup solutions, messaging services, artificial intelligence technologies, and application development environments. These integrations make it easier to support real-time workloads, improve visibility into database activity, and maintain consistent performance as business demands change. By connecting serverless databases with the right mix of software, organizations can create scalable environments that adapt quickly to new requirements while simplifying ongoing operations.
Risks To Be Aware of Regarding Serverless Databases
- Unexpected usage spikes may increase operational costs beyond planned budgets.
- Vendor dependency can make future migrations more difficult and time-consuming.
- Limited infrastructure control may restrict advanced customization for specialized workloads.
- Performance fluctuations can occur during sudden scaling events or resource allocation changes.
- Compliance requirements may become harder to satisfy across different deployment regions.
- Poor workload planning may create unnecessary spending despite automatic resource management.
- Legacy applications might require extensive modifications before successful adoption.
- Visibility into underlying infrastructure may be limited, complicating troubleshooting and performance analysis.
- Service availability depends on provider reliability, creating potential business continuity concerns during outages.
Questions To Ask Related To Serverless Databases
- Will it scale automatically during traffic spikes without manual adjustments or performance slowdowns?
- How are storage, requests, and networking charges calculated over time?
- Which security features help protect sensitive business and customer information?
- Can it connect smoothly with the cloud services and tools we already rely on?
- What recovery options are available if data becomes corrupted or accidentally deleted?
- How much operational work will our team still need to handle each month?
- Does it provide performance insights that help identify bottlenecks before users notice them?
- Are there geographic deployment choices that support compliance, latency, and business continuity requirements?