The Stardog Blog
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Stardog is now SOC 2 Type II certified.
Stardog’s VP of Product Navin Sharma provides his perspectives and key takeaways from the recent Gartner Data & Analytics summit.
The “metrics layer” is the oldest and foundational semantic layer use case. But there’s a new breed of semantic layer use cases that Stardog and its customers are pioneering.
The challenges and opportunities of five common areas of data friction: Data culture, data model, data integration, data interrogation, and data intelligence.
Data mesh is a new way of thinking about data based on a distributed architecture for data management. Learn more about what it is and how to use it.
We are excited for you to experience the latest innovations in the Stardog v8.2.0 release. This release contains several new features and many improvements that close the gap between data and insights.
Are you managing data and analytics at your organization? Learn how tech leaders are using knowledge graphs to transform their approach.
Let’s talk about business logic. Where should it live inside the enterprise?
The secret to data analytics success today is a democratized, self-service data platform, and that’s only possible when you leverage a semantic layer to shift from columns to concepts.
Modern enterprises need to develop a Data Governance Framework. For effective governance, this is generally underpinned by a catalog megastore. Unity Catalog provides that megastore across the lakehouse, enabling business users access to full metadata across the workspaces and allowing them to visualize the relationships across the data landscape. The creation of a knowledge layer is accelerated when this metadata is available for modeling in Stardog platform.
How do companies use graph databases in real life? At Stardog, our platform combines graph technology with semantics to enable knowledge graphs. Consider the ability to deeply understand and work with connections between organizations, people, transactions, and events (to name a few examples). Add in inferencing, scalability, and near real-time traversal of big data. The number of graph use cases explodes. Relational databases like SQL simply can’t deliver like graph can.
“Enterprises are heading not toward a “new normal” but rather a “no normal.” This theme, chosen by Gartner, reinforces many of the positions held by Stardog. We’ll give you a quick summary of the conference and our takeaways here.