Elastic is a search company. As the creators of the Elastic Stack (Elasticsearch, Kibana, Beats, and Logstash), Elastic builds self-managed and SaaS offerings that make data usable in real time and at scale for search, logging, security, and analytics use cases. Thousands of organizations worldwide, including Cisco, eBay, Goldman Sachs, Microsoft, The Mayo Clinic, NASA, The New York Times, Wikipedia, and Verizon, use Elastic to power mission-critical systems. Founded in 2012, Elastic is a distributed company with Elasticians working in countries around the world. Learn more at elastic.co.

Kineviz was founded in 2015 as a community, built on a foundation of technology and creativity. We are a team of scientists, computer engineers and artists working to connect humans with data and provide the visualization of complex data to gain insights for better outcomes. Our GraphXR platform is a fluid yet powerful visualization and analytics tool. It enables data modeling, exploration, analysis, and the visualization of high dimensional and connected data, as well as powering custom applications requiring a graph data model. GraphXR is especially valuable for visualizing data from multiple sources and in a variety of formats, and supports a broad and steadily expanding range of databases, file types, and APIs, GraphXR has been successfully deployed in a variety of industries - from large-scale enterprises to SMBs - including banking & financial, healthcare & life sciences, public safety, high-tech, and more. Visit us at kineviz.com.

At KNIME®, we build software for fast, easy and intuitive access to advanced data science, helping organizations drive innovation. Our KNIME Analytics Platform is the leading open solution for data-driven innovation, designed for discovering the potential hidden in data, mining for fresh insights, or predicting new futures. Organizations can take their collaboration, productivity and performance to the next level with a robust range of commercial extensions to our open source platform. For over a decade, a thriving community of data scientists in over 60 countries has been working with our platform on every kind of data: from numbers to images, molecules to humans, signals to complex networks, and simple statistics to big data analytics. KNIME’s headquarters are based in Zurich, with additional offices in Konstanz, Berlin, and Austin. We’re open for innovation®, so visit us at KNIME.com.

Tom Sawyer Software is the leading provider of software and services that enable organizations to build scalable and dynamic graph and data visualization and analysis applications. Customers such as AIRBUS, Cisco Systems, Equifax, IBM, JPL, Lockheed Martin, NASA, Siemens, and Toyota use our software to automatically discover and graph hidden patterns and complex relationships. We serve clients with needs in geospatial intelligence, link analysis, network topology, maps, architectures and models. We also federate data from large, diverse sources such as Neo4j, Oracle, and others. Visit our booth to see live demonstrations or http://www.tomsawyer.com/solutions/graphical

Franz Inc. is an early innovator in Artificial Intelligence (AI) and leading supplier of Semantic Graph Database technology with expert knowledge in developing and deploying complex Cognitive Computing solutions. AllegroGraph, Franz's flagship, high-performance, transactional, and scalable Semantic Graph Database, provides the solid storage layer for Enterprise grade NoSQL solutions. Franz's Cognitive Computing 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.

Redpanda is the streaming data platform for developers. API-compatible with Apache Kafka, Redpanda introduces a breakthrough architecture and disruptive capabilities that make it an easy, fast, scalable, and cost-effective engine of record for both real-time and historical enterprise data. Innovators like Lacework, Jump Trading, Vodafone, Moody’s, Hotels Network and Alpaca rely on Redpanda to process hundreds of terabytes of data a day. To learn more, visit redpanda.com

The Super Data Brothers are Ryan and Eric Dolley, two real life brothers who work in the data and analytics industry. They host the Super Data Show, a live, interactive dive into the data industry every Thursday at 12pm EST. From deep dives into hot topics to interviews with cutting edge vendors and industry luminaries, The Super Data Brothers keep you tuned into the latest trends in data. Check them out at YouTube.com/c/superdatabrothers or live on LinkedIn and YouTube every week.

Women Lead Data is an investigation into the underrepresentation of female leadership in the data industry. Join Lindsay Murphy, Head of Data at Secoda, as she learns from women in leadership roles in the data industry, uncovers helpful tips and advice for overcoming barriers to growth, and inspire those who are curious about entrepreneurship in the data industry.

A slack channel at a virtual conference is not the same as having hundreds of people pass by your booth. Data Day Texas sponsorships normally sell out three months in advance, and the best slots are taken well before that. For partnership details, send a note to partners@globaldatageeks.org.

Neo4j at Data Day Texas. With attendees and speakers coming from around the world, Graph Day at Data Day Texas is the best place to engage teams looking to explore and implement graph technology. For sponsorship details and a prospectus, send a note to: partners@globaldatageeks.org

 

Red Panda at Data Day Texas 2023. For sponsorship details and a prospectus, send a note to: partners@globaldatageeks.org

 

Red Panda at Data Day Texas 2023. For sponsorship details and a prospectus, send a note to: partners@globaldatageeks.org

 

KNIME at Data Day Texas 2024. For sponsorship details and a prospectus, send a note to: partners@globaldatageeks.org

 

Elastic at DDTX19. For sponsorship details and a prospectus, send a note to: partners@globaldatageeks.org