This release delivers 39 bug fixes and 7 new features, addressing critical issues in stability, security, and usability across the platform. Key fixes resolve database mapping failures, GUI freezes, distributed credential deserialization, and installation bottlenecks. Enhancements include schema support for…
The purpose of this tutorial is to guide a Kubernetes user to incorporate SlashDB API generation into their cluster. The database often functions as the “brain” of an application. In a software infrastructure, the database can be housed as a…
SlashDB version 1.8 is now available for download or for instant launch on Azure and AWS clouds. This release adds 4 new features and a number of improvements to performance, software developer's kits, security and documentation. For upgrading instructions please…
SlashDB version 1.7.25 is now available for download or for instant launch on Azure and AWS clouds. This release adds 3 new features and a number of improvements to performance, user experience, security and documentation.
SlashDB version 1.6.43 is now available for download or for instant launch on Azure and AWS clouds. This release adds support for single sign-on under industry standard SAML 2.0 protocol. In addition, we've made a number of improvements to security,…
These are release notes for maintenance release(s) in the 1.5.x branch. For release notes on version 1.5, please see SlashDB ver. 1.5.0 adds Databricks, Snowflake and schema caching. SlashDB version 1.5.40 is now generally available.
SlashDB version 1.5.0 is now generally available. In this release we are introducing several brand new capabilities. First off are two newly supported backends: Snowflake, a cloud native data warehouse and Databricks, a data warehouse and data lake platform. In…
SlashDB version 1.4.0 is now generally available. In this release we are putting emphasis on the needs of our enterprise clients. We are introducing single sign-on feature compatible with Microsoft Azure AD, Okta, PingIdentity, Google Cloud Identity and more. At…
Ever wish you can download complex, parent-child relationship (hierarchical) data from a relational data store and persist that data locally for use from browser or mobile device session to session? In a prior post, we looked at a simple key/value…
Storing information locally within modern browsers local or session storage facilities is a great strategy for assuring that data is available in the case when users are offline (not connected to the Internet) and still want to use back-end data…