The newly-released dbt tab now surfaces yet more dbt metadata, including detailed model information and all your custom meta properties:

• In the "Details from dbt" section:
  • Model name: If you use an alias, this field will contain the model name as it appears in your dbt project.
  • Description: The model's description.
  • Source: The Sifflet source via which the model was added to Sifflet. (And when the source was last refreshed.)
  • Project: The name of the dbt project.
  • Type: Reflects the dbt asset type (model, seed, snapshot, etc.).
  • Asset group: Reflects the dbt asset's group.
  • Asset access: Reflects the access configuration for this model.
  • Materialization: Reflects the materialization configuration for this model.
  • Deprecation date: The deprecation date of the model.
• In the "Metadata from dbt" section:
  • All the custom metadata you add to your dbt YAML files via the meta config.

Soon, you'll be able to leverage this enhanced dbt metadata across Sifflet to filter assets within the catalog and create monitors in bulk - so stay tuned!

App version: v409

Up until now, you first had to search for assets of interest before selecting them to assign them to a domain. This process could, depending on the number of assets in your domain, be quite time consuming. Domains also required a manual (or programmatic) action to be updated, which could make the maintenance cumbersome in some cases.

A brand new asset selection method was introduced to address these challenges: filter conditions-based domains.

• Filter conditions-based domains allow you to assign assets to your domains solely based on the source they come from and/or inherited tag/label they are tagged with, without having to select assets individually. You can now for instance assign all the assets coming from the SALES schema to the Sales Sifflet domain.

• Filter conditions-based domains also come with an automatic update concept: filter-conditions based domains indeed automatically pick up new assets that correspond to your domain conditions. For instance, if a new SALESREP table gets added to the SALES schema, yourSales Sifflet domain automatically updates to include this new SALESREP table.

Filter conditions method greatly simplifies domain creation and maintenance, making user experience and access controls much simpler to manage for your teams.

Read more about domains

App version: v409

We're excited to announce that Sifflet now integrates with Qlik Sense and Qlik Cloud Analytics! 🎉

Thanks to this new integration, Qlik users can now benefit from the multiple features of Sifflet's BI integrations, namely:

• Catalog your Qlik apps and enrich them with Sifflet metadata (owners, descriptions, tags, etc.).
• Access the upstream lineage of your Qlik assets to evaluate the impact of data incidents and determine the quality of the data/metrics in the BI layer.
• Create monitors upstream of Qlik assets to ensure that data incidents are detected before the data reaches your dashboards.
• Have real-time access to the impact of upstream data incidents on a given dashboard or report without leaving Qlik, thanks to the Sifflet Insights Chrome Extension.

Ready to get started? Visit our integration setup guide or contact your customer success manager for more details!

Want to see it live? Reach out for a demo!

App version: v400

Sifflet AI Assistant now allows you to automatically generate clear, concise, and contextually relevant descriptions for your data assets in one-click (previously only feasible at the column level). This feature streamlines documentation efforts, reduces manual workload, and ensures consistency in how assets are described across your organization.

This enhancement was designed to help your teams quickly understand and communicate the purpose, structure, and key attributes of data assets, empowering better collaboration and faster decision-making. Whether you're onboarding new team members, improving data cataloging, or accelerating incident resolution, AI-powered asset descriptions save time and provide immediate clarity—making your data more accessible and actionable.

Read more about generating metadata for your assets

App version: v400

Tiny but long overdue change: the Microsoft Teams integration got a facelift and now looks brand new. We took this revamp as an opportunity to also allow your team to:

• Send test notifications on your configured channels to make sure they still work properly
• Delete existing channels to keep your integration clean from outdated channels.

Read more about Microsoft Teams integration

App version: v395

Data catalog asset pages now feature much more detailed monitoring insights about your tables and their associated columns. These insights make it easy for your teams to get a grasp of your assets' health status in one glance: is the number of rows coming in for this table expected? Is the data fresh? Has there been any changes in the schema that could impact downstream assets? Are there any format weirdnesses in columns? Etc.

Having clear asset health statuses along with details about key monitoring dimensions is critical to ensure data trust among your team and can also be a great starting point to an investigation when noticing unexpected behaviors.

Read more about asset pages

App version: v393

Sifflet now fully supports Dynamic Tables within our Snowflake integration. With this enhancement, Dynamic Tables will:

• Be included in the Sifflet catalog (and can be monitored)
• Appear in the lineage graph for greater visibility

To enable Dynamic Tables in your Snowflake sources, ensure the following permissions are granted to the role used by Sifflet:

GRANT SELECT ON ALL DYNAMIC TABLES IN SCHEMA <DATABASE_NAME>.<SCHEMA_NAME> TO ROLE <SIFFLET_ROLE>;
GRANT SELECT ON FUTURE DYNAMIC TABLES IN SCHEMA <DATABASE_NAME>.<SCHEMA_NAME> TO ROLE <SIFFLET_ROLE>;
GRANT VIEW LINEAGE ON ACCOUNT TO ROLE <SIFFLET_ROLE>;

App version: v396

We're excited to announce that Sifflet now integrates with MicroStrategy! 🎉

Thanks to this new integration, MicroStrategy users can now benefit from the multiple features of Sifflet's BI integrations, namely:

• Catalog your MicroStrategy dashboards and reports and enrich them with Sifflet metadata (owners, descriptions, tags, etc.).
• Access the upstream lineage of your MicroStrategy assets to evaluate the impact of data incidents and determine the quality of the data/metrics in the BI layer.
• Create monitors upstream of MicroStrategy assets to ensure that data incidents are detected before the data reaches your dashboards.
• Have real-time access to the impact of data incidents on a given dashboard or report without leaving MicroStrategy, thanks to the Sifflet Insights Chrome Extension.

Ready to get started? Visit our integration setup guide or contact your customer success manager for more details!

Want to see it live? Reach out for a demo!

App version: v395

We’ve enhanced our platform’s authentication experience to allow users to log in to Sifflet using either Single Sign-On (SSO) or a traditional username/password combination.

This optional feature provides greater flexibility for organizations with diverse security and user management needs. Teams can leverage SSO for a centralized authentication through their preferred identity provider (IdP) while still maintaining the option for direct login when needed. This ensures accessibility for all users, including contractors or partners who might need to access Sifflet data observability insights without being able to sign in through the organization's IdP. It also ensures you can access Sifflet at all times, including in the event of an IdP outage.

Read more about multi-method authentication

App version: v395

We’ve completely reimagined how Sifflet integrates with dbt to make your workflows smoother and more powerful. This revamp introduces exciting new features that seamlessly combine dbt models with datasets and enrich your lineage and catalog experience with dbt metadata.

dbt Models + Datasets: A Unified Asset Experience

Previously, dbt models and the datasets they generated existed as separate entities in Sifflet, with distinct catalog entries and asset pages. With this release, we’ve combined them into a single asset and brought new dbt metadata to Sifflet. Here’s what this means for you:

In the Catalog: Enhanced Metadata for dbt-Generated Datasets

Datasets created by dbt now include key dbt metadata:

• Last Execution Timestamp: See exactly when the corresponding dbt model was last run.
• Last Execution Status: Quickly identify if the latest execution was successful, failed, or skipped.

On the Asset Page: Introducing the New dbt Tab

The dataset’s asset page now features a dedicated dbt tab, consolidating previously scattered dbt information in one place. This is just the beginning—soon, this tab will include even more insights like the model's group, its access modifier, and custom dbt metadata defined using the meta field.

Streamlined Lineage Graph: Fewer Nodes, More Insights

The Sifflet lineage graph is now cleaner and more intuitive. dbt models are no longer displayed as separate nodes. Instead, their metadata is integrated into the dataset node, reducing clutter and redundancies. The result? A more streamlined view with richer, consolidated information.

Looking Ahead: More dbt Features on the Horizon

This is just the first phase of our dbt integration revamp. Here’s a sneak peek at what’s coming next:

• Cost & Performance Monitoring: Gain insights into the resource usage and efficiency of dbt runs.
• Leveraging Custom Metadata: Use dbt’s custom metadata directly in Sifflet for advanced configurations.
• dbt-based Monitor Setup: Define and configure Sifflet monitors directly within your dbt YAML files.

We’re excited about this leap forward and hope you are too. Want to see it in action? Reach out to our team to learn more!

App version: v393