IP lifecycle management solution adds innovative graph database capability to reduce engineering time and effort in design creation, management and collaboration
San Francisco, CA – October 18, 2017 – Methodics Inc, the leader in IP lifecycle management, storage optimization, and workspace acceleration solutions for complex System-on-Chip designs, today announced an OEM partnership with Neo4j, the creator of the market leading Graph Platform for connected data. The partnership brings a more efficient and higher performing way to manage hierarchical design data within the Methodics environment through Neo4j’s intuitive and visual graph database.
Through the agreement, Methodics has integrated the Neo4j graph database with its Percipient solution to power the system’s core data models. This significantly improves the performance and scalability over the previous SQL Relational Database Management System (RDBMS) that the solution used in enabling engineering teams to create, check out, modify, and check in their design workspaces.
Initial results of the integration show a dramatic improvement in performance, especially as designs increase in complexity and the number of hierarchy nodes explode. Analysis conducted with real designs show a major reduction in the time to manage common tasks, such as querying the status of a hierarchical IP in a workspace or generating trees to view conflicts, often reducing interactions from minutes to seconds, even as designs scale to 100’s of thousands, even millions of nodes.
“In today’s SoC design environment, it is common for engineering workspaces to contain 10’s or even 100’s of gigabytes of data. With such large workspaces, it is important that the data and IP management solutions tracking this data performs very fast,” said Peter Theunis, CTO for Methodics. “By evolving from SQL and building our solution on top of the production proven Neo4j graph database, we have made the data management process much more efficient and scalable for complex designs, thus reducing overall development time for large, disperse engineering teams.”
Unlike a RDBM system, the Neo4j graph database, which has been proven across a variety of applications and industries, stores data as a series of nodes and relationships, with key-value style properties on both. This is especially critical when representing hierarchy. In traditional, table-based databases, hierarchical structures are not a natural fit because a hierarchical structure has a mix of data and metadata (the relationships between nodes in the hierarchy) that are both equally important. This mix of metadata and data may be a problem when using other underlying data models. However, the Neo4j graph database allows users to directly connect nodes according to their data model, which allows for a very fast, flexible and scalable hierarchy representation.
“Semiconductor and electronic systems design is perhaps one of the most challenging applications when it comes to managing complex and extremely large sets of data. Due to the tremendous amount of interdependence and hierarchy of data, and the constantly changing nature of it across disperse design teams, performance and efficiency are key,” said Philip Rathle, Head of Product at Neo4j. “Neo4j is a world class graph database built on the foundation of a connections-first approach for helping organizations find meaning within their data, in a way that is orders of magnitude faster than traditional database methods. Neo4j is an ideal enhancement to the Methodics approach to managing complex IC design.”
Methodics delivers state-of-the-art IP Lifecycle Management, Design Data Management, and Storage and Workspace optimization and acceleration tools for analog, digital, SoC, and software development design teams. Methodics’ customers benefit from the products’ ability to enable high-performance collaboration across multi-site and multi-geographic design teams. The company is headquartered in San Francisco, California, and has additional offices and representatives in the U.S., Europe, China, Taiwan, Japan, and Korea. For more information, visit http://www.methodics.com
About Neo4j, Inc.
Neo4j, Inc. is the graph company behind the #1 platform for connected data. The Neo4j graph platform helps organizations make sense of their data by revealing how people, processes and digital systems are interrelated. This connections-first approach powers intelligent applications tackling challenges such as artificial intelligence, fraud detection, real-time recommendations and master data.
The company boasts the world’s largest dedicated investment in native graph technology, has amassed more than eight million downloads, and has a huge developer community deploying graph applications around the globe. More than 250 commercial customers, including global enterprises like Walmart, Comcast, Cisco, eBay, and UBS use Neo4j to create a competitive advantage from connections in their data.
Neo4j is privately held and funded by Eight Roads Ventures (an investment arm of Fidelity International Limited), Sunstone Capital, Conor Venture Partners, Creandum, Dawn Capital and Greenbridge Investment Partners. Headquartered in San Mateo, Calif., Neo4j has regional offices in Sweden, Germany and the UK. For more information, please visit Neo4j.com and @Neo4j.
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