SurrealDB, the ultimate multi-model database, is debuting a Database-as-a-Service (DBaaS) version of SurrealDB, delivering a fully managed solution that abstracts the complexities of infrastructure management. Dubbed Surreal Cloud, its launch reflects an emphasis on ease and simplicity without sacrificing on power, scale, or resilience.
Surreal Cloud empowers developers to leverage the multi-model benefits of SurrealDB—which can replace 10 or more products and services in a tech stack—while alleviating them of the pains of infrastructure management, including monitoring, backups, and capacity planning. Designed to simplify back-end architectures, improve time-to-market, and refine the entire database approach, Surreal Cloud is a highly anticipated evolution of SurrealDB’s already proven value, according to the vendor.
“Having a cloud where you can—with a single click—spin up a cluster or an instance and get going with the database without having to think about Kubernetes or deployment or uptime or monitoring…[it’s] an important step for any developer and a lot of large organizations,” said Tobie Morgan Hitchcock, CEO and co-founder of SurrealDB. “This is just the beginning—there’s much more innovation to come. With Surreal Cloud, we give developers and enterprises the ability to build innovative applications while we take the burden of database complexity away by handling the underlying infrastructure.”
With a single query language—SurrealQL—Surreal Cloud enables developers to build applications while benefiting from an array of capabilities that multiple data models or databases provide. Surreal Cloud is a fully managed, S3-backed environment with exceptional price/performance and automated data lifecycle management—which can store large quantities of frequently, infrequently, or rarely accessed data, cost-efficiently.
Delivering further on simplicity and ease-of-use, Surreal Cloud employs Surrealist, the graphical user interface (GUI) of SurrealDB that offers a visual strategy for database management. Tasks such as executing queries, exploring records, designing schemas, and managing connections are more intuitive for developers with Surrealist.
Additionally, Surreal Sidekick—a personal AI assistant designed to help with Surreal implementation—allows developers to ask questions about application building with natural language and receive answers based on freely available documentation.
“Our AI Sidekick agent…understands the documentation, understands everything about setting up SurrealDB, writing SurrealQL queries, how to create instances in the cloud—and then it will support you in writing those queries and working through how you might query your data,” explained Morgan Hitchcock.
Surreal Cloud operates with a scalable architecture—which includes automatic resource scaling—that promotes enterprise growth, supporting organizations as they expand their applications from prototype to enterprise-scale. The DBaaS is ACID compliant, enabling developers to run transactions across multiple rows and across multiple different tables with no limit to the length of time a transaction can run.
Surreal Cloud also allows for the compartmentalization of workloads depending on department or project, underpinned by a consistent, shared data repository. Not only does this boost collaboration, it reduces the need for slow, costly ETL jobs and redundant data marts, according to SurrealDB.
Ultimately, “it's a simple, powerful platform that enables you to work with your database in any format you want inside a single interface, bringing all of those tools together, effectively, so that you can work with data in a much more powerful way, simplify your development process, and simplify your ongoing management your technical stack,” said Morgan Hitchcock. “Everything else—all of the complexity of the cloud itself, how it's run, how it's monitored—is kind of taken away from you…you just think about how you want to work with your data.”
To learn more about Surreal Cloud, please visit https://surrealdb.com/.