Solving Knowledge Graph Data Prep with Standards

Dataversity –  December 2018

There’s a general consensus throughout the data ecosystem that Data Preparation is the most substantial barrier to capitalizing on data-driven processes. Whether organizations are embarking on Data Science initiatives or simply feeding any assortment of enterprise applications, the cleansing, classifying, mapping, modeling, transforming, and integrating of data is the most time honored (and time consuming) aspect of this process.

Approximately 80 percent of the work of data scientists is mired in Data Preparation, leaving roughly 20 percent of their jobs to actually exploiting data. Moreover, the contemporary focus on external sources, Big Data, social and mobile technologies has exploded the presence of semi-structured and unstructured data, which accounts for nearly 80 percent of today’s data and further slows the preparation processes.

Read the full article at Dataversity.



Making Big Data More Meaningful through Data Visualization

We’ve all heard the saying, “a picture says a thousand words.” With today’s millisecond attention spans, communicating a complex topic to any audience – business professional, consumer, doctor, investor, policy-maker, voter — has become more challenging than ever. Some industries are now taking this seriously and investing in new data visualization techniques.

Data visualization is a fundamental part of scientific research. In a scientific journal, pictures certainly do seem to be worth a thousand words, with graphs translating large amounts of data into insightful, visual representations.

Read the full article at insideBIGDATA

Franz Receives 2015 Best Semantic Graph Database Award

Oakland, CA — March 10, 2015 — — Franz Inc. has been selected for the 2015 Best of Oakland Award in the Graph Database Technologies category by the Oakland Award Program.

Each year, the Oakland Award Program identifies companies that we believe have achieved exceptional marketing success in their business category. Interest in Graph Databases exploded in 2014, according to DB-engines.com. Franz Inc. is a leader in this sector and well positioned to capitalize on the momentum in this market going into 2015.

Various sources of information were gathered and analyzed to choose the winners in each category. The 2015 Oakland Award Program focuses on quality, not quantity. Winners are determined based on the information gathered both internally by the Oakland Award Program and data provided by third parties.

About Oakland Award Program

The Oakland Award Program is an annual awards program honoring the achievements and accomplishments of businesses throughout the Oakland area. Recognition is given to those companies that have shown the ability to use their best practices and implemented programs to generate competitive advantages and long-term value. The Oakland Award Program was established to recognize the best businesses in our community. Our organization works exclusively with business owners, trade groups, professional associations and other business advertising and marketing groups. Our mission is to recognize the small business community’s contributions to the U.S. economy.

About Franz Inc.

Franz Inc. is an innovative technology company with expert knowledge in developing and deploying graph search solutions. AllegroGraph, Franz’s high-performance, transactional, and scalable graph database, provides the solid storage layer for powerful Enterprise grade NoSQL solutions. Franz’s products and professional services are uniquely positioned to help bring your complex ideas to reality.

All trademarks and registered trademarks in this document are the properties of their respective owners.

Franz Extends its Semantic Graph Database

AllegroGraph 5.0 Unveils New Multi-dimensional Indexing for Complex Location Aware Applications

OAKLAND, Calif. — February 9, 2015 — Franz, Inc., the leading supplier of Semantic Graph Database technology, today announced AllegroGraph 5.0 with unique multi-dimensional indexing capabilities. Data Scientists can think of these new multi-dimensional indices as similar to OLAP data cubes or HyperCubes but with the powerful dynamic data linking of a Graph Database.

AllegroGraph was the first Graph Database to offer advanced temporal and geospatial libraries. With this latest release AllegroGraph again leads the industry with multi-dimensional event based data processing for solutions across a diverse customer base including; healthcare, telecom, agriculture, financial and intelligence applications. Although the industries are diverse, AllegroGraph users are driven by a common need to better answer complex, real world questions which today require the fusion of data in many dimensions.

“Today’s leading companies have realized the incredible value locked up in their existing unstructured and structured data that they are unable to link together to make better business decision.” noted Dr. Jans Aasman, CEO, Franz Inc. “This realization is driving demand for new sophisticated event based analytics for use over diverse sources such as corporate email, documents, spreadsheets, relational databases, news feeds, social networks and much more.”

Adding dimensions dramatically increases computational complexity but with AllegroGraph’s patented multi-dimensional indexing, customers will experience queries orders-of-magnitude faster, even with increasing data size, all while using W3C standards based technologies that protect their investment in data, development, and learning.

“With AllegroGraph 5.0, companies can easily transform and integrate unstructured and structured data and query it in real-time, providing critical business intelligence to compete and excel.” said Dr. Aasman.

A simple event always has a “when” and “where” but for data-driven clients to better answer real world questions requires the fusion of data on multiple dimensions. One example of AllegroGraph’s new multi- or n-dimensional capabilities is to correlate atmospheric observations that contain latitude, longitude, height, time, humidity, barometric pressure, ozone concentration with real world events like crop yields or natural disasters that are also located in time and place. AllegroGraph can dynamically generate data cubes by using our n-Dimensional Datatype Designer and run SPARQL insert statements to create new data cubes on the fly. Subsequently we then can ask queries like:

“Which persons of interest were in the same locations in the same time interval with multiple occurrences and turned off their phones at the same time?”

Companies around the world use AllegroGraph to increase their data IQ while creating scalable applications to better understand customers, save operation costs, manage company compliance and connect siloed data. AllegroGraph’s Semantic Graph capabilities continue to derive unique value from a wide variety of use cases including the US Census Bureau:

“The U.S. Census Bureau’s Business Dynamics Statistics Program selected AllegroGraph for our BDS-IF data integration project because of its advanced performance capabilities in addition to the product’s FISMA compliance.” stated Dr. Javier Miranda, Principal Economist, U.S. Census Bureau. “Franz’s support team has been great to work with and repeatedly bent over backward to help move our project forward.” noted Dr. Miranda.

For additional information about AllegroGraph, see here.


Franz will be hosting a webcast on February 25, 2015 – Maximizing New Multi-dimensional Indexing for Complex Location Aware Applications with AllegroGraph v5.0 to discuss examples and use cases for AllegroGraph’s new n-dimensional capabilities. Registration – http://franz.com/ps/services/conferences_seminars/semantic_technologies_v45.lhtml

About Franz Inc.

Franz Inc. is an innovative technology company with expert knowledge in developing and deploying Graph Search solutions. AllegroGraph, Franz’s flagship, high-performance, transactional, and scalable Graph Database, provides the solid storage layer for powerful Enterprise grade NoSQL solutions. AllegroGraph’s Activity Recognition capabilities provides a powerful means to aggregate and analyze data about individual and organizational behaviors, preferences, relationships, plus spatial and temporal linkages between individuals and groups.

Allegro CL with AllegroCache are leading Common Lisp based Enterprise-ready development tools. Together they provide an ideal environment to create complex, mission-critical applications that solve real world problems very quickly.

For additional Franz Inc customer success stories please visit:

Franz’s Professional Service team is in the business of helping companies turn Data into Information and Information into Knowledge. We combine Data, Business Intelligence, and Analytics consulting services under one roof for our customers.

Franz, an American owned company based in Oakland, California, is committed to market-driven product development, the highest levels of product quality and responsive customer support and service. Franz customers include Fortune 500 companies in the government, life sciences and telecommunications industries. Franz has demonstrated consistent growth and profitability since inception. For more information, visit franz.com.

All trademarks and registered trademarks in this document are the properties of their respective owners.