During this week launch week, we've announced a number of Cube Cloud that improve integration with other tools (Semantic Layer Sync) and simplify understanding complex data models (Data Graph). These features are available for Cube Cloud users on all tiers, including free development instances.
Additionally, we'd like to present a couple of features for Cube Cloud users on the Enterprise tier: Single Sign-On with SAML 2.0 and Monitoring Integrations. On top of that, we're making Custom Domains available on the Premium tier.
Semantic Layer Sync
Semantic Layer Sync makes using Cube with BI tools as easy as possible. It automatically synchronizes the data model in the semantic layer with thin data models in BI tools and enables instantaneous, zero-friction self-serve analytics.
Currently, you can set up synchronization with Apache Superset (self-hosted), Preset (managed), and Metabase (self-hosted and managed). We’re also working with design partners on synchronization with Power BI, Tableau, and other BI tools.
See Semantic Layer Sync in action and check the docs for details:
We're releasing Semantic Layer Sync in preview, and it's available to Cube Cloud users on all tiers.
Data Graph provides a human-friendly, visual way to explore contents of the semantic layer. It represents the data model as an entity relationship diagram and uses the crow’s-foot notation to mark join relationships between cubes. Data Graph is the best way to familiarize for you and your team to take a bird’s-eye view of the data model.
See Data Graph in action and check the docs for details:
We’re releasing Data Graph in preview, and it's available to Cube Cloud users on all tiers.
Single Sign-On with SAML 2.0
Cube Cloud supports logging in with a login and password pair. It also supports logging in with a GitHub or Google account via the OAuth protocol.
Now, Cube Cloud also supports the industry-proven SAML 2.0 protocol which enables single sign-on (SSO) via identity provides like Okta, Google Workspace, Azure AD, etc.
SSO with SAML 2.0 is available to Cube Cloud users on the Enterprise tier.
Now, Cube Cloud Supports exporting logs and performance metrics (e.g., CPU usage) of deployment infrastructure to external monitoring tools. This way, you can leverage your existing monitoring stack and retain logs and metrics for the long term.
Under the hood, Cube Cloud uses Vector, an open-source tool for collecting and delivering monitoring data that supports tons of destinations, including AWS S3, AWS Cloudwatch, Datadog, Grafana, and Prometheus.
Monitoring Integrations are available to Cube Cloud users on the Enterprise tier.
By default, API endpoints of Cube Cloud deployments use auto-generated anonymized domain names, e.g.,
electrical-maida.gcp-us-central1.cubecloudapp.dev. However, you can also assign a custom domain to your deployment and make it look pretty.
Prevously, Custom Domains were an Entrprise Premier feature. Now, it's available to a broader part of Cube Cloud users on the Premium tier and above.
What’s next in Cube Cloud
While we're working on the next batch of Cube Cloud features, let me remind you that we're always happy to hear your feedback. Please don't hesitate to get in touch or reach out in our Slack community of more than 8,500 data practitioners.