New data modeling capabilities, AI enhancements, a new Snowflake native app, OAuth write access for Snowflake AI Data Cloud and Databricks, Glean integration, and more help businesses trust their data with intelligent tools
SAN FRANCISCO–(BUSINESS WIRE)–Sigma, the first data analysis native solution for live queries on cloud data, today announced several new features* aimed at providing data engineers, data curators and business leaders with greater flexibility to run their analyses, with safeguards for consistent results. These features, announced today fall product launchenable organizations to do much more with data they can trust.
Improved Data Modeling in Sigma
Sigma offers intelligent tools to help customers clean and model their data, and to ensure the consistency of their calculations.
These new capabilities provide a structured, high-level representation of business data and its relationships, bridging the gap between complex data sources and data science work with business end users.
Data modeling in Sigma is unique. It is:
- Based on the graphical user interface: A no-code user interface for speed and accessibility, helping business users define and share their metrics.
- Flexible: Users can choose to layer semantic models and governance as needed for their use cases (many use cases are one-off and do not require upfront modeling).
- Integrated with the rest of the data ecosystem: Users can read (and optionally write) business logic to and from other tools in their stack. The first such integration launched by Sigma is with the dbt semantic layer.
- Leverage for AI: Sigma’s natural language querying, powered by the customer’s connected AI models (e.g. OpenAI), reads directly from pre-defined metrics and models, making AI usage seamless and accurate.
“With our latest enhancements, we’ve made it easier for business users to define their metrics without having to write a single line of code. By delivering flexibility, speed, and seamless integration with the broader data ecosystem, Sigma empowers users to trust both the data and the process. It’s about putting power back in the hands of the people closest to the problem and enabling teams to move faster with confidence,” said Mike Palmer, CEO of Sigma.
“The partnership between dbt and Sigma provides a perfect fit for our customers who want cutting-edge BI on a centrally managed semantic layer where all critical business metrics can be defined and managed in one place,” said Nick Handel, Semantic Layer Lead at dbt Labs..
Announcing new AI features
Sigma’s two new AI features are Explain Viz And Formula Wizard:
- Explain Viz: Explain Viz uses the client’s connected AI to automatically generate a clear and concise description of any chart, highlighting key insights, observations, and data summaries. This feature helps users quickly understand the story behind their data, saving time and effort in interpreting complex visualizations.
- Formula Wizard: Formula Assistant leverages the client’s AI models to help users create new formulas, fix errors in existing formulas, and provide explanations for formulas used in workbooks and data models, making it easier to work with complex data. This feature streamlines the formula creation process, reduces errors, and increases productivity for users of all skill levels.
“Explain Viz and Formula Assistant are exciting new features for teams looking to work faster and with more confidence in their use of AI. By making AI-generated insights more accessible, these tools accelerate productivity and allow data teams to focus on more strategic tasks. We also designed them with transparency in mind, so users can hold AI accountable every step of the way. These are just two examples of how Sigma is leveraging AI to help you get the most out of your data,” said Rob Woollen, Co-Founder and CTO of Sigma.
Connecting workflows via the new Glean integration
Sigma also announced its new integration with Glean, an enterprise search tool that connects your entire workflow. With just two clicks, you can search Glean within Sigma and instantly access unstructured data like Slack threads, Google Docs, Jira tickets, and more. This integration eliminates the need to switch between systems, allowing you to find solutions faster and work more efficiently by connecting structured information from Sigma to context elsewhere.
Introducing new features that make Sigma easier to use and administer
In this product launch, Sigma announces expanded OAuth coverage with write access for Snowflake and other platforms. This makes Sigma is the first data analytics platform to offer OAuth for write access to Snowflake and Databricks.
- Writing OAuth back to Snowflake: Sigma already offers OAuth for Snowflake. OAuth support is now extended to enable secure write-back of a Sigma input table to a Snowflake data warehouse.
- OAuth for Databricks (including writeback)): Use OAuth with Databricks connections for centralized user access management between Sigma and Databricks to enhance security and reduce administrator time investment. OAuth support is provided for input tables, writeback, warehouse views, materializations, and CSV uploads.
- Data connector to Microsoft Azure: Use the Sigma to Microsoft Azure connector to enable secure communication between the Sigma platform and an Azure cloud data warehouse.
Hakkōda Announces Sigma BI Analyst
Hakkoda’s Sigma BI Analyst is a native Snowflake app that helps assess an organization’s usage of an existing BI tool on Snowflake and show them the potential cost savings with Sigma. Currently shared via private listings, Sigma BI Analyst can show users information such as workbook statistics, data source models in workbooks, and license usage. Some users will be able to enter how much they pay for visualization licenses and compare it to the free Sigma Lite licenses. The app also uses Snowflake Cortex AI to recommend formula syntax changes between BI tools.
“At Hakkoda, we are excited to partner with Sigma to simplify the migration process for companies looking to modernize their business intelligence and transition away from legacy BI tools,” said Erik Duffield, CEO and co-founder of Hakkoda. “Once available, Sigma BI Analyst will allow teams to assess their current BI environment and realize immediate cost savings, while ensuring a seamless and secure migration. This tool accelerates what used to take weeks or months, helping companies quickly gain a more holistic view of their data.”
“Collaborating with Sigma and Hakkoda to launch Sigma BI Analyst by Hakkoda is aligned with Snowflake’s mission to empower organizations with data-driven insights,” said Tarik Dwiek, Head of Technology Alliances at Snowflake. “This application has the potential to simplify migrations from existing BI tools, leveraging the Snowflake platform to enable smarter decision making and drive cost savings. By integrating Sigma’s capabilities with Cortex AI, it provides enterprises with a faster, more efficient path to modern analytics.”
*Please note that many of these features are currently in beta testing. For more information about Sigma or to get beta access to some of these features, visit https://www.sigmacomputing.com/.
ABOUT SIGMA
Sigma redefines business intelligence by enabling instant, deep data analysis across billions of records through an intuitive spreadsheet interface. Its write-back capability and comprehensive support system accelerate organizations’ growth and innovation.
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