• Franz is helping with the data integration challenge by developing interfaces with best of breed software interfacing to and from AllegroGraph. The following describes resources resulting from these efforts you can enlist for your projects.

Best of breed software:

  • AllegroGraph ETL Tools

    Extract, Transform, and Load data from a relational database into AllegroGraph.

    Find out more about Franz’s – agtool

    Easily load JSON, JSON-LD, and CSV to build your graph.

  • Virtual Graph

    Unify structured data in relational databases or data warehouses as knowledge graphs. Connect to over a 100 data sources via their JDBC driver.

    Find out more and work with an example from our documentation.

    Virtual Graphs in AllegroGraph

  • Professional Services

    Combining our broad expertise, experience, best practices, tools, methodologies, assets and proven delivery methods with a pragmatic approach to planning and design.

Erasing Silos with Knowledge Graphs and Data Fabrics

In the diverse ecosystem of data management, the robust foundation of relational databases (RDBs) continues to support a multitude of web services and enterprise systems. Nevertheless, the ascent of the Data Fabrics ushers in a new era of data representation and interconnectedness through Knowledge Graphs, which utilize the Resource Description Framework (RDF) for crafting a more structured and meaningful web of information.

Knowledge Graphs are become de facto requirements for revolutionizing the way we perceive and operationalize data integration and retrieval. Amidst this change, the treasure of structured knowledge stored within RDBs cannot be overlooked. Bridging these reserves of data to the dynamic landscape of Knowledge Graphs is essential. Translating RDB assets into RDF format empowers us by assimilating the benefits inherent to building Enterprise-wide Data Fabrics:

Holistic Integration with Knowledge Graphs:
Knowledge Graphs act as the synaptic connections that link siloed RDBs. Through the application of RDF semantics and a unified schema, these silos of data converge into a holistic graph, effectively forming part of a vast, decentralized database. Knowledge Graphs make it possible to integrate not only relational databases but also to seamlessly combine them with diverse data from other sources, creating a rich, interconnected fabric of knowledge. This integration extends the reach and utility of existing enterprise data by providing a context-rich framework that facilitates comprehensive insights and data-driven decision-making.

Streamlined Data Access through Data Fabrics:
As RDBs are woven into the sophisticated structure of Knowledge Graphs, they become part of a larger Data Fabric that underpins the enterprise’s entire data ecosystem. This Data Fabric enhances data accessibility and visibility across the organization. With RDF’s standardized model, a Data Fabric transforms the way we access and query data, allowing for fluid traversals over interconnected nodes and edges that represent complex relationships and dependencies within the data. Queries that were once confined to the boundaries of a single database can now operate on a global scale, extracting insights from an integrated tapestry of data sources, and driving a new level of business intelligence and agility.