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Virtual Graphs Deliver Sub-Second Query Times and 98% Cost Savings
Our latest benchmark report proves a 1 trillion-triple knowledge graph consisting of materialized data and Virtual Graphs spanning hybrid multicloud data sources.
Discover Connections in your Data Fabric with Stardog Explorer
With our new tool Stardog Explorer, it’s easier than ever to search, browse, and understand connected data. No querying, no code — just an intuitive interface that anyone can use. Read on to learn more.
How the Inter-American Development Bank Built FindIt, a Semantic Search Platform
Learn how IDB built FindIt, a semantic search platform that brings knowledge generated by the IDB Group to its staff and external audiences.
How ITV Improves Customer Experience through Optimizing Rights Management
Learn how ITV leverages Stardog to transform its rights service, maximizing exploitation and distribution opportunities and increasing viewer engagement.
Data Modeling Methodology for Data Fabric Success
The key to success with a data fabric is to approach it with an MVP mindset and do strictly the minimal work to accomplish the first significant tranche of business value. Read on to learn about a methodology that will ensure success.
Data Fabric 101: The Next Generation of Enterprise IT
Data fabric is ushering in a new era of enterprise IT. Data fabric offers a different way forward and one that’s a significant departure from the world of rows and columns in a table that we’re used to. But what outcomes does a data fabric really promise? Read on to learn more.
Stardog Explorer: Early Access Release
Announcing Stardog Explorer, a brand new way to easily explore the connections in your data. Powerful, intuitive new visualization and search capabilities make it easier for more types of users to benefit from your connected data in Stardog.
Analytics Modernization Success Stories
Contemplating upgrading your product portfolio with a knowledge graph? Read on to hear how Stardog customers have delivered delightful user experiences and new features to their customer bases.
Tracing a Solution to Enterprise Data Problems
It is important to be able to not only discover connections but explain them to your stakeholders. The ability to identify all links between seemingly unrelated data is called traceability. Learn how graph makes this easier than the relational model.
Conventional Data Integration is No Longer Sufficient
The original premise of data integration was focused on the correct goal of unifying data, but its execution was fundamentally flawed in that it sought to consolidate all enterprise data into one physical place. After fifty years of data warehouses and other ETL-based solutions, it’s clear that their promise for fast, complete analysis has fallen short.
How Data Fabrics Modernize Existing Data Management Investments
The truth is, data silos are inevitable! They exist for excellent reasons, allowing for local control and governance when important to a particular part of your business. Instead of replacing legacy technologies, a data fabric works alongside existing investments and improves their utility.
Innovation Spotlight: Casalini Libri is Revolutionizing Library Science
We sat down with Casalini Libri CEO Michele Casalini to discuss the Shared Virtual Discovery Environment which Casalini Libri built to bring the data produced and curated by libraries into the broader world of information. Read on to learn more.