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One unified mobile platform
Manage data across the entire mobile application stack: cloud, web, device, or all of the above.Learn more
Enterprise-level security at every tier
On-device with 256-bit AES encryption, over the wire using secure transport, and in the cloud with file system encryption.Learn more
Embedded NoSQL database with full CRUD and query capabilities that runs locally on the device. Built ground-up native for each platform, Couchbase Lite supports all major operating systems and platforms.Learn more
Secure web gateway that enables data access and synchronization over the web. Elastically scalable in real time, Sync Gateway scales capacity demands as they change throughout the day.Learn more
Data integration APIs
Integrate mobile applications with your existing ecosystem. Data integration APIs include REST, stream, batch, and event APIs for accessing and managing data over the web.Learn more
Empowering consumers to track health activity and diet all the time, regardless
of where they are, to provide real-time health progress and activity reports.
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Cincinnati Day of Agile and Cincy.Develop()Jul 28, 2017
Join Matthew Groves at the Cincinnati Day of Agile and Cincy.Develop() and hear his talk on : Querying NoSQL with SQL: HAVING Your JSON Cake and SELECTing it too
Abstract: Until recently, agile business had to choose between the benefits of JSON-based NoSQL databases and the benefits of SQL-based querying. NoSQL provides schema flexibility, high performance, and elastic scaling, while SQL provides expressive, independent data access. Recent convergence allows developers and organizations to have the best of both worlds.
Developers need to deliver apps that readily evolve, perform, and scale, all to match changing business needs. Organizations need rapid access to their operational data, using standard analytical tools, for insight into their business. In this session, you will learn the ways that SQL can be applied to NoSQL databases (N1QL, SQL++, ODBC, JDBC, and others), and what additional features are needed to deal with JSON documents. SQL for JSON, JSON data modeling, indexing, and tool integration will be covered.