Compare the Top Serverless Databases in 2026
Serverless databases are cloud-based solutions that automatically scale to handle varying workloads without requiring users to manage the underlying infrastructure. Unlike traditional databases, users are not responsible for provisioning or maintaining servers, and costs are based on actual usage rather than fixed capacity. These databases take care of tasks like scaling, patching, and backups, allowing developers to focus on application development instead of resource management. Serverless databases are particularly suited for applications with unpredictable or fluctuating workloads, offering flexibility and cost efficiency. They provide an on-demand, hands-off approach to database management, adapting seamlessly to changing demands. Here's a list of the best serverless databases:
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1
Google Cloud BigQuery
Google
BigQuery is a fully serverless database, meaning users do not need to worry about managing infrastructure or capacity planning. Its serverless architecture automatically scales to meet the demands of any workload, providing seamless performance regardless of the size of the data. This allows businesses to focus on analysis rather than maintaining or provisioning servers. New customers can try BigQuery’s serverless features with $300 in free credits, allowing them to experience the benefits of a serverless database firsthand. This serverless model ensures that users can access the full power of BigQuery without needing to handle any of the traditional operational overhead.Starting Price: Free ($300 in free credits) -
2
Movestax
Movestax
Movestax revolutionizes cloud infrastructure with a serverless-first platform for builders. From app deployment to serverless functions, databases, and authentication, Movestax helps you build, scale, and automate without the complexity of traditional cloud providers. Whether you’re just starting out or scaling fast, Movestax offers the services you need to grow. Deploy frontend and backend applications instantly, with integrated CI/CD. Fully managed, scalable PostgreSQL, MySQL, MongoDB, and Redis that just work. Create sophisticated workflows and integrations directly within your cloud infrastructure. Run scalable serverless functions, automating tasks without managing servers. Simplify user management with Movestax’s built-in authentication system. Access pre-built APIs and foster community collaboration to accelerate development. Store and retrieve files and backups with secure, scalable object storage.Starting Price: $20/month -
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
Google Cloud Firestore
Google
Cloud Firestore is a fast, fully managed, serverless, cloud-native NoSQL document database that simplifies storing, syncing, and querying data for your mobile, web, and IoT apps at global scale. Its client libraries provide live synchronization and offline support, while its security features and integrations with Firebase and Google Cloud Platform (GCP) accelerate the building of truly serverless apps. Firestore offers a great developer experience with built-in live synchronization, offline support, and ACID transactions. These features are available across a robust set of client and server-side libraries. Firestore automatically scales up and down based on demand. It requires no maintenance and provides high availability of 99.99–99.999% achieved through strongly consistent data replication. No-ops database lets you pay only for what you use—no up-front expenditure or underutilized resources. Simplified architecture lets your apps talk directly to Firestore. -
5
Vercel
Vercel
Vercel is an AI-powered cloud platform that helps developers build, deploy, and scale high-performance web experiences with speed and security. It provides a unified set of tools, templates, and infrastructure designed to streamline development workflows from idea to global deployment. With support for modern frameworks like Next.js, Svelte, Vite, and Nuxt, teams can ship fast, responsive applications without managing complex backend operations. Vercel’s AI Cloud includes an AI Gateway, SDKs, workflow automation tools, and fluid compute, enabling developers to integrate large language models and advanced AI features effortlessly. The platform emphasizes instant global distribution, enabling deployments to become available worldwide immediately after a git push. Backed by strong security and performance optimizations, Vercel helps companies deliver personalized, reliable digital experiences at massive scale. -
6
Amazon Aurora
Amazon
Amazon Aurora is a MySQL and PostgreSQL-compatible relational database built for the cloud, that combines the performance and availability of traditional enterprise databases with the simplicity and cost-effectiveness of open source databases. Amazon Aurora is up to five times faster than standard MySQL databases and three times faster than standard PostgreSQL databases. It provides the security, availability, and reliability of commercial databases at 1/10th the cost. Amazon Aurora is fully managed by Amazon Relational Database Service (RDS), which automates time-consuming administration tasks like hardware provisioning, database setup, patching, and backups. Amazon Aurora features a distributed, fault-tolerant, self-healing storage system that auto-scales up to 64TB per database instance. It delivers high performance and availability with up to 15 low-latency read replicas, point-in-time recovery, continuous backup to Amazon S3, and replication across three Availability Zones.Starting Price: $0.02 per month -
7
MongoDB Atlas
MongoDB
The most innovative cloud database service on the market, with unmatched data distribution and mobility across AWS, Azure, and Google Cloud, built-in automation for resource and workload optimization, and so much more. MongoDB Atlas is the global cloud database service for modern applications. Deploy fully managed MongoDB across AWS, Google Cloud, and Azure with best-in-class automation and proven practices that guarantee availability, scalability, and compliance with the most demanding data security and privacy standards. The best way to deploy, run, and scale MongoDB in the cloud. MongoDB Atlas offers built-in security controls for all your data. Enable enterprise-grade features to integrate with your existing security protocols and compliance standards. With MongoDB Atlas, your data is protected with preconfigured security features for authentication, authorization, encryption, and more.Starting Price: $0.08/hour -
8
Amazon DynamoDB
Amazon
Amazon DynamoDB is a key-value and document database that delivers single-digit millisecond performance at any scale. It's a fully managed, multi-region, Multimaster, durable database with built-in security, backup and restore, and in-memory caching for internet-scale applications. DynamoDB can handle more than 10 trillion requests per day and can support peaks of more than 20 million requests per second. Many of the world's fastest-growing businesses such as Lyft, Airbnb, and Redfin as well as enterprises such as Samsung, Toyota, and Capital One depend on the scale and performance of DynamoDB to support their mission-critical workloads. Focus on driving innovation with no operational overhead. Build out your game platform with player data, session history, and leaderboards for millions of concurrent users. Use design patterns for deploying shopping carts, workflow engines, inventory tracking, and customer profiles. DynamoDB supports high-traffic, extreme-scaled events. -
9
CockroachDB
Cockroach Labs
CockroachDB: Cloud-native, distributed SQL. Your cloud applications deserve a cloud-native database. Cloud-based apps and services deserve a database that scales across clouds, eases operational complexity, and improves reliability. CockroachDB delivers resilient, distributed SQL with ACID transactions and data partitioned by location. Automate operations for mission-critical applications by pairing CockroachDB with orchestration tools like Kubernetes and Mesosphere DC/OS. Every node can service both reads and writes so that you can scale query throughput and database capacity by simply adding more endpoints. Just add new nodes to CockroachDB, and it automatically rebalances data, completely removing the pain of manual sharding. As demand shifts, CockroachDB detects hotspots and intelligently distributes data to maintain performance. Tune your database at the row level so that data lives close to your users and you can minimize query latency. -
10
Fauna
Fauna
Fauna is a data API for modern applications that facilitates rich clients with serverless backends by providing a web-native interface with support for GraphQL and custom business logic, frictionless integration with the serverless ecosystem, a no compromise multi-cloud architecture you can trust and grow with and total freedom from database operations. Instantly create multiple databases in one account leveraging multi-tenancy for development or customer-facing use case. Create a distributed database across one geography or the globe in just three clicks and easily import existing data. Scale seamlessly without ever managing servers, clusters, data partitioning, or replication. Track usage and consumption-based billing in near real time via a dashboard.Starting Price: Free -
11
Azure SQL Database
Microsoft
Part of the Azure SQL family, Azure SQL Database is the intelligent, scalable, relational database service built for the cloud. It’s evergreen and always up to date, with AI-powered and automated features that optimize performance and durability for you. Serverless compute and Hyperscale storage options automatically scale resources on demand, so you can focus on building new applications without worrying about storage size or resource management. Eliminate the complexity of configuring and managing high availability, tuning, backups and other database tasks with a fully managed SQL database. Accelerate your application development on the only cloud with evergreen SQL using the latest SQL Server capabilities, and never worry about updates, upgrades, or end of support again. Build modern apps your way with provisioned and serverless compute options.Starting Price: $0.5218 per vCore-hour -
12
Xata
Xata
Xata is a combination of a relational database, an analytics engine, and a free-text search engine. All made simple by a spreadsheet-like UI and a single powerful data API, with granular security, zero-downtime migrations, subscriptions, ACID transactions, and caching built-in. If you don’t worry about servers when deploying your application, why should you worry about servers (or nodes, or clusters) when using a database service? The simple global RESTful API for inserting, querying, aggregating, and searching makes Xata the perfect companion for Serverless and No-Code/Low-Code development platforms. Xata allows you to iteratively build your database schema as you add sample data, all via a spreadsheet-like UI. You can add new tables, columns, data, and create queries and views. It then gives you code samples ready to be used in your application. This gives you flexibility as you develop and, as the application grows, the strict schema keeps your data safe and correct.Starting Price: $8 per unit per month -
13
Upstash
Upstash
Blend the performance of in-memory with the durability of disk storage enabling many use cases beyond caching. You can leverage multi-region replication with global databases. True Serverless Kafka where price scales to zero. With per-request pricing, you only pay what you use. Built-in REST API allows you to produce and consume your Kafka topics from anywhere. Start free, then pay only for what you use with per-request pricing. Forget your expensive server/instance. Use Upstash as much as you need, you'll never pay more than the cap price, guaranteed. Upstash REST API enables access from Cloudflare Workers and Fastly Compute@Edge. With the global database, you can access your database from anywhere with very low latency. Low latency data, ease of use, and pay-per-request pricing makes Upstash a perfect choice for the Jamstack and Serverless world. With servers/instances, you pay per hour or a fixed price. With Serverless, you pay per request.Starting Price: $0.2 per 100K commands -
14
PlanetScale
PlanetScale
PlanetScale brings you the fastest databases available in the cloud. Both our Postgres and Vitess databases deliver exceptional speed and reliability, with Vitess adding ultra scalability through horizontal sharding. Our blazing fast NVMe drives unlock unlimited IOPS, bringing data center performance to the cloud. We offer a range of deployment options to cover all of your security and compliance requirements — including bring your own cloud with PlanetScale Managed. In addition to Vitess and Postgres, PlanetScale offers Neki — sharded Postgres by the team behind Vitess — and Metal, the fastest way to run databases in AWS or GCP.Starting Price: $5 per month -
15
ScyllaDB
ScyllaDB
ScyllaDB is the database for data-intensive apps that require high performance and low latency. It enables teams to harness the ever-increasing computing power of modern infrastructures – eliminating barriers to scale as data grows. Unlike any other database, ScyllaDB is a distributed NoSQL database fully compatible with Apache Cassandra and Amazon DynamoDB, yet is built with deep architectural advancements that enable exceptional end-user experiences at radically lower costs. Over 400 game-changing companies like Disney+ Hotstar, Expedia, FireEye, Discord, Zillow, Starbucks, Comcast, and Samsung use ScyllaDB for their toughest database challenges. ScyllaDB is available as free open source software, a fully-supported enterprise product, and a fully managed database-as-a-service (DBaaS) on multiple cloud providers. -
16
Amazon ElastiCache
Amazon
Amazon ElastiCache allows you to seamlessly set up, run, and scale popular open-Source compatible in-memory data stores in the cloud. Build data-intensive apps or boost the performance of your existing databases by retrieving data from high throughput and low latency in-memory data stores. Amazon ElastiCache is a popular choice for real-time use cases like Caching, Session Stores, Gaming, Geospatial Services, Real-Time Analytics, and Queuing. Amazon ElastiCache offers fully managed Redis and Memcached for your most demanding applications that require sub-millisecond response times. Amazon ElastiCache works as an in-memory data store and cache to support the most demanding applications requiring sub-millisecond response times. By utilizing an end-to-end optimized stack running on customer-dedicated nodes, Amazon ElastiCache provides secure, blazing-fast performance. -
17
Supabase
Supabase
Create a backend in less than 2 minutes. Start your project with a Postgres database, authentication, instant APIs, real-time subscriptions and storage. Build faster and focus on your products. Every project is a full Postgres database, the world's most trusted relational database. Add user sign-ups and logins, securing your data with Row Level Security. Store, organize and serve large files. Any media, including videos and images. Write custom code and cron jobs without deploying or scaling servers. There are many example apps and starter projects to get going. We introspect your database to provide APIs instantly. Stop building repetitive CRUD endpoints and focus on your product. Type definitions built directly from your database schema. Use Supabase in the browser without a build process. Develop locally and push to production when you're ready. Manage Supabase projects from your local machine.Starting Price: $25 per month -
18
Astra DB
DataStax
Astra DB from DataStax is vector database for developers that need to get accurate Generative AI applications into production, quickly and efficiently. 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 and SAML SSO secure account accessibility. You can deploy on AWS, GCP, or Azure while still maintaining open-source Cassandra compatibility. -
19
Laravel Vapor
Laravel
Vapor isn't just about deployments. Create, manage, scale, and even restore your traditional and serverless databases directly from Vapor's intuitive dashboard. Write and dispatch your Laravel jobs. Then, experience the power of serverless scalability as hundreds of jobs are executed concurrently with zero configuration. Easily stream your file uploads directly to S3 from your application's frontend with Vapor’s built-in JavaScript utilities. It’s like magic. Vapor monitors a variety of metrics about your applications, databases, and caches. You'll never lose sight of your application's health. We'll even alert you when performance isn't up to par. You can manage your application's DNS records entirely from the Vapor UI or CLI. In addition, every Vapor application receives a free, auto-renewing SSL certificate during deployment.Starting Price: $39 per month -
20
Neon
Neon
The fully managed multi-cloud Postgres with a generous free tier. We separated storage and computing to offer autoscaling, branching, and bottomless storage. We separated storage and computing to make on-demand scalability possible. Compute activates on an incoming connection and scales to zero when not in use. Neon storage uses the "copy-on-write" technique to deliver data branching, online checkpointing, and point-in-time restore. This eliminates expensive full-data backup and restore operations required with traditional database-as-a-service systems. Neon allows you to instantly branch your Postgres database to support modern development workflows. You can create branches for test environments and for every deployment in your CI/CD pipeline. Our serverless architecture reduces computing and storage expenses. Specifically, Neon's autoscaling capabilities prevent over-provisioning and paying for under-utilized instances. -
21
SurrealDB
SurrealDB
SurrealDB offers a dynamic and adaptable platform for business. With an integrated suite of cutting-edge database solutions, tools, and services, SurrealDB empowers your workforce to discover innovative answers using products meticulously crafted to meet their requirements. The query language in SurrealDB looks and works similarly to traditional-SQL, but allows for querying over time-series and connected graph data. SurrealQL is an advanced query language, with programming language functionality, that allows developers or data analysts to work with SurrealDB in the ways they choose. Connect directly to SurrealDB from any end-user client device. Run SurrealQL queries directly within web-browsers, ensuring that users can only view or modify the data that they are allowed to access. Highly-performant WebSocket connections allow for efficient bi-directional queries, responses and notifications.
Serverless Databases Guide
Serverless databases are data management solutions that automatically handle infrastructure tasks such as capacity planning, scaling, maintenance, and resource allocation without requiring organizations to manage servers directly. Instead of manually configuring hardware or monitoring database instances, businesses can focus on building applications while the platform adjusts to changing workloads behind the scenes. This approach simplifies deployment, reduces administrative responsibilities, and allows teams to respond more quickly to evolving business requirements. As cloud adoption continues to grow, serverless databases have become an attractive option for organizations seeking greater flexibility and operational efficiency.
One of the primary advantages of serverless databases is their ability to scale resources automatically based on actual demand. During periods of increased activity, additional computing capacity is allocated to maintain consistent performance, while quieter periods consume fewer resources. This dynamic behavior helps organizations optimize costs by paying only for the resources they use instead of maintaining excess capacity for occasional traffic spikes. It also enables development teams to support unpredictable workloads without extensive infrastructure planning.
Serverless databases are used across a wide range of industries for web applications, mobile platforms, analytics, Internet of Things environments, customer-facing services, and modern business applications. They support organizations looking to accelerate development while minimizing routine maintenance responsibilities. By reducing operational complexity and improving scalability, serverless databases help businesses launch new services faster, improve application responsiveness, and adapt to changing user demands without extensive manual intervention.
Serverless Databases Features
- Automatic scaling: Expands or reduces database resources based on workload demands, helping applications maintain performance without manual capacity planning.
- Pay-as-you-use pricing: Charges according to actual resource consumption, helping organizations avoid paying for consistently idle database capacity.
- Managed infrastructure: Handles maintenance, updates, and operational tasks, reducing administrative responsibilities for internal teams.
- High availability: Distributes workloads across resilient infrastructure to minimize downtime and improve service continuity.
- Automated backups: Creates scheduled backups and recovery points, helping protect valuable business data from accidental loss.
- Built-in security: Includes encryption, identity controls, and access management features to safeguard sensitive information.
- Elastic performance: Adjusts processing power during traffic spikes while maintaining responsive database operations.
- Global deployment support: Enables data access from multiple regions, improving application responsiveness for distributed users.
- Monitoring and insights: Provides performance metrics, usage analytics, and operational visibility for easier database management.
Different Types of Serverless Databases
- Relational serverless databases: Store structured data using tables while automatically adjusting resources to match changing workloads.
- NoSQL serverless databases: Handle flexible data models for applications requiring fast scaling and varied information formats.
- Key-value serverless databases: Deliver rapid data retrieval through simple key-based lookups for high-performance workloads.
- Document serverless databases: Organize information in document formats, supporting evolving schemas and content-rich applications.
- Graph serverless databases: Manage interconnected data efficiently for relationship-focused use cases and complex network analysis.
- Time-series serverless databases: Capture and process timestamped records from monitoring, analytics, and connected device environments.
- In-memory serverless databases: Improve response times by storing frequently accessed data in memory for low-latency operations.
Advantages of Serverless Databases
- Automatic scaling: Resources expand or shrink based on workload demands, reducing manual capacity planning and improving application responsiveness.
- Lower operational effort: Infrastructure management tasks are handled automatically, allowing teams to focus on development and business priorities.
- Cost efficiency: Usage-based pricing helps reduce expenses by charging primarily for consumed resources instead of fixed capacity.
- Faster deployment: New database environments become available quickly, supporting shorter development cycles and rapid project launches.
- High availability: Built-in redundancy improves uptime and helps applications remain accessible during unexpected infrastructure disruptions.
- Simplified maintenance: Routine updates, patching, and infrastructure management occur automatically, reducing administrative workloads.
- Flexible performance: Computing resources adjust with changing traffic patterns, helping maintain consistent responsiveness during demand fluctuations.
- Global accessibility: Multi-region deployment options improve user experiences by placing data closer to distributed audiences.
Who Uses Serverless Databases?
- Application developers: Build scalable applications without handling database infrastructure or ongoing server administration.
- Startup teams: Launch projects quickly while reducing operational overhead and adapting resources as demand changes.
- Enterprise IT departments: Support business workloads with flexible scaling and simplified database management.
- DevOps teams: Streamline deployments by reducing infrastructure tasks and automating database availability.
- SaaS providers: Deliver reliable services while matching database resources to changing customer activity.
- Data engineers: Process and organize growing datasets without manually expanding database capacity.
- Mobile app developers: Support fluctuating user traffic with databases that automatically adjust to demand.
- Digital product teams: Accelerate feature releases by relying on managed database services instead of manual maintenance.
How Much Do Serverless Databases Cost?
Serverless databases are available through a wide range of pricing models, making them suitable for organizations of different sizes. Many providers charge based on actual resource consumption rather than fixed infrastructure, allowing businesses to pay for compute, storage, and requests only when they are used. Smaller workloads often benefit from lower operating costs, while larger or consistently active environments can see expenses increase as usage grows. This usage-based approach gives organizations greater flexibility when managing changing demand.
The total cost of a serverless database extends beyond resource usage alone. Data storage, backup retention, network traffic, geographic replication, security features, and premium support may all affect monthly expenses. Organizations should also evaluate expected workload patterns because unpredictable spikes or continuous high-volume activity can influence overall pricing. Comparing pricing structures alongside performance, scalability, and operational requirements helps businesses select a solution that aligns with both technical needs and budget.
What Software Can Integrate With Serverless Databases?
Serverless databases can integrate with customer relationship management platforms, enterprise resource planning software, business intelligence tools, analytics platforms, content management systems, and ecommerce platforms to support data sharing across business operations. They also connect with application development tools, API management solutions, identity and access management software, monitoring and observability platforms, and logging tools for streamlined deployment and performance tracking. Data integration platforms, workflow automation software, backup and recovery solutions, messaging services, and event streaming tools also work well with serverless databases by enabling reliable data movement and real-time processing. Organizations may also connect security platforms, reporting tools, artificial intelligence services, mobile applications, and web applications to create responsive, scalable environments that support changing workloads without requiring dedicated infrastructure management.
What Are the Trends Relating to Serverless Databases?
- More organizations adopt serverless databases to reduce infrastructure management while improving operational flexibility.
- AI workloads increase demand for databases that automatically scale with changing processing requirements.
- Multi-cloud deployment strategies encourage greater interest in portable and resilient database architectures.
- Consumption-based pricing models become more attractive for unpredictable application usage patterns.
- Stronger security capabilities help organizations address evolving compliance and data protection expectations.
- Edge computing initiatives drive demand for databases supporting distributed applications with lower latency.
- Developer productivity improves through automation that simplifies deployment, scaling, and routine maintenance.
How To Select the Right Serverless Database
Choosing the right serverless databases starts with understanding how your applications handle data, traffic, and growth. Consider whether you need support for structured, unstructured, or mixed data, then evaluate how well each option aligns with those requirements. Review scalability, response times, availability, and regional deployment options to ensure reliable performance. Look closely at pricing models to understand how usage, storage, and data transfers affect long-term costs. Integration with your existing cloud infrastructure, analytics tools, security controls, and development workflows is equally important. Verify backup capabilities, disaster recovery options, compliance support, and monitoring features before making a decision. Finally, compare ease of administration, documentation quality, and available support resources so your team can manage the environment efficiently as business needs evolve.
On this page you will find available tools to compare serverless databases prices, features, integrations and more for you to choose the best software.