CelerData is a sub-second SQL engine powered by StarRocks that unifies real-time analytics, lakehouse, and AI workloads. It scales to millions of users and AI agents under strict latency SLAs, continuously syncing mutable data from transactional systems and running complex joins across all data—without redundant ETL. Built for the modern lakehouse, it natively supports Apache Iceberg and combines SQL with vector and full-text search to power interactive analytics, RAG, and AI queries on a unified, governed platform.

VeloDB delivers real-time analytics at scale with Apache Doris, consistently outperforming ClickHouse, Trino, and traditional data warehouses in industry benchmarks. Their cloud-native architecture supports blazing-fast queries on petabyte-scale data with sub-second latency at 10,000+ QPS. If you're wrestling with real-time analytics performance or lakehouse query speeds, the VeloDB team can show you what's possible

GoodData, the analytics platform loved by engineers, is out to make cloud-based analytics awesome for everyone. By harnessing the real potential of AI and automation, it empowers its customers to rapidly build data products and scale them up fast — the sky’s the limit. GoodData’s as-code philosophy helps analytics builders collaborate with code, while its intuitive drag-and-drop UI enables end users to easily derive insights from data. GoodData is on a mission to make data analytics available to every single end user, technical and non-technical alike, via real-time, self-service data insights right at the point of work.

Tom Sawyer 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 https://www.tomsawyer.com

PuppyGraph is bringing simplicity to graph analysis. With an overwhelming number of tables and complex relationships hidden within traditional databases, it's easy to feel lost. That's where the beauty of graph technology comes in—it's a simple yet powerful way to visualize and understand the intricate web of data relationships. At PuppyGraph, we understand the value of graph data analysis and the hesitation that comes with adding another layer to your tech stack. The thought of juggling additional complexity, along with the fear of spiraling costs and maintenance headaches, can be daunting. That's why we're here.
PuppyGraph was born from a vision to make graph analysis accessible and seamless for every data team, without the burdens of extra cost or complexity. Imagine being able to plug in graph capabilities directly into your existing data architecture, lighting up new insights with minimal effort. That's the possibility we're turning into reality.

MotherDuck makes analytics fun, frictionless, and ducking awesome. In partnership with the team building open source database DuckDB, MotherDuck was founded by former leaders at some of the most innovative companies in data. It is on a mission to combine the elegance and speed of DuckDB with the collaboration and scalability of the cloud to provide a serverless, easy to use analytics platform for data small and large.

Kineviz is a data visualization research and development company founded on the belief that complex problems require artistic solutions. Their flagship platform, GraphXR, is a powerful visualization-first analytics solution that brings unprecedented speed, power, and flexibility to the exploration of graph data, high-dimensional data, and complex connections that traditional analytics often miss. Recently, Kineviz announced a strategic collaboration with Google Cloud to integrate the GraphXR platform with Spanner Graph, combining enterprise-grade scalability with interactive visualization capabilities. They've also launched SightXR, an innovative tool that leverages generative AI to transform documents into navigable knowledge maps, making it easier to extract insights from large volumes of unstructured text. From law enforcement agencies detecting extremist networks to medical researchers exploring complex relationships in healthcare data, Kineviz's solutions empower users to make needle-in-haystack discoveries and accelerate time to insight. Their focus on human-centered design and artistic approach to data visualization creates an intuitive experience that helps users uncover hidden patterns and relationships that would otherwise remain buried in the data. Founded by Weidong Yang in 2015 and based in San Francisco, Kineviz serves clients across sectors including cybersecurity, financial services, life sciences, and government agencies where high-security requirements and complex data analysis needs are common.

G.V( ) helps graph database developers get s#!t done. As an all-in-one graph database IDE, G.V() helps you write, execute, and test queries; track your data model; explore and edit your graph data on the fly; and show your work with a variety of data visualizations. Compatible with 18 different graph technologies and growing, G.V() is easy to use, low cost, low commitment, vendor agnostic, and plays well with any security architecture. Amp up your productivity and get back to building cool stuff: Try out G.V() for yourself today and start querying your db in less than 5 minutes: G.V( ).

Data Lakehouse Hub is an online blog and community created by Alex Merced, co-author of O’Reilly’s Apache Iceberg: The Definitive Guide and Apache Polaris: The Definitive Guide. The Hub is dedicated to helping data professionals explore and understand the evolving world of the data lakehouse. Through insightful blog content, practical tutorials, and updates on upcoming lakehouse-related events, the site serves as a central resource for anyone looking to stay current with the latest innovations and best practices in open data architecture.

Sequentum is the industry-leading web data pipeline platform that empowers organizations to source, transform, enrich, structure, and reliably deliver high-quality data at enterprise scale. Founded in 2014 and based in New York, Sequentum serves Global 500 and Fortune 500 companies, government agencies, and financial institutions, having helped set industry standards for alternative data sourcing and compliance as a member of FISD. LinkedIn Their low-code platform enables businesses across diverse sectors including financial services, automotive, retail, real estate, and government to extract complex, multi-structured data from any web-connected source while maintaining full control over the entire process. Cbinsights With both a powerful enterprise platform (Sequentum Enterprise) and white-glove managed services (Sequentum Bespoke), the company provides flexible solutions that reduce operational friction and accelerate time-to-market for critical data-driven decisions. Sequentum's technology excels at handling dynamic websites and complex extraction challenges through intuitive point-and-click interfaces that don't require deep technical expertise, making advanced data intelligence accessible to organizations of all sizes.

Streamkap is the modern real-time data exchange platform that transforms how businesses move and process data. Built on Apache Kafka and Flink, Streamkap provides streaming ETL and change data capture (CDC) with sub-second latency, enabling companies to sync data between systems in real-time without the complexity of managing streaming infrastructure. The platform supports a broad range of database sources including PostgreSQL, MySQL, MongoDB, and SQL Server, seamlessly connecting to destinations like Snowflake, BigQuery, Databricks, and Redshift. Streamkap With features like automated schema handling, in-stream transformations, and comprehensive security compliance (SOC 2 Type 2, GDPR/CCPA), Streamkap offers a low-maintenance solution that typically delivers 50x lower latency and 3-5x lower costs compared to traditional batch ETL tools. Founded in 2022 by data entrepreneurs Paul Dudley and Ricky Thomas, Streamkap helps businesses deliver exceptional customer experiences through real-time data that powers immediate, seamless interactions across finance, e-commerce, healthcare, and entertainment sectors..

Inferred Edge is a boutique firm of engineers helping businesses capitalize on advances in AI from a foundation of data and knowledge. In a world of increasing complexity, competitive advantage goes to organizations that can make better connections — those that can see patterns and relationships faster and more accurately than their competitors. The companies that thrive in the coming decade won't be those with the most data or the most advanced algorithms. They'll be those with the most meaningful connections between their knowledge assets — those who understand that the edge in business comes from what you can infer. This isn't just about technology. It's about embracing a fundamentally different approach to how we organize and leverage knowledge.
At Inferred Edge, we're building the tools and methods that enable this transformation. We don't just implement AI: we create the knowledge infrastructure that makes AI truly intelligent. We don't just connect your data: we reveal the meaningful relationships that drive your business forward. Reach out if you're ready to build intelligent systems at your organization.

Numeract is a Dallas-based data science firmfounded by Dr. Mike Badescu, driven by the philosophy that excellence in data analysis requires both rigorous scientific methods and artistic problem-solving approaches. Their commitment to "separating signal from noise" drives their approach to transforming complex datasets into actionable insights.
Numeract specializes in developing custom data science solutions that enable organizations to extract meaningful insights from complex datasets. Numeract's expertise spans multiple technology stacks including R, Python, SQL, Docker, and Spark—covering everything from small to big data applications, research to production environments, and data processing to visualization.
Numeract’s contributions to the open-source community include several R packages hosted on GitHub and CRAN, including Nmisc, which provides utilities for debugging, vector operations, and UTC date/time functionality that enhance workflows built with popular tools like dplyr and purrr. Numeract has also developed tools for AWS Lambda integration with R and flexible R pipelines with caching capabilities, demonstrating their commitment to advancing data science infrastructure.
With expertise spanning from small-scale analysis to big data implementations, research to production environments, and everything in between, Numeract excels at rapid prototyping while exploring cutting-edge technologies like deep learning with TensorFlow - to build accurate, reliable models that power data products and drive business decisions. Visit them at Numeract.com.

Hosted by Matthew Housley and Tony Bear, It's About Data is the topical straight talking podcast about data, AI, analytics “and whatever else we feel like talking about.” With episodes running 15 - 20 minutes, we get straight to the point. Reformed data scientist Matt Housley and veteran industry analyst Tony Baer – often joined by guests from the data community – deliver their takes on current ideas, trends, vendor strategies, and technology developments impacting the data world. Episodes range from the topical (The “Snowbricks” rivalry between Databricks and Snowflake) to the strategic (the implications of MCP for agentic AI). Regularly scheduled episodes debut on YouTube, LinkedIn and Spotify every Wednesday at noon ET, but we also interrupt this program to broadcast special episodes when major headlines break.

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.

The official podcast of tech/data nerd and "recovering data scientist" Joe Reis. He provides refreshingly candid thoughts on the world of technology and data. Each week, he broadcasts from somewhere in the world, sometimes ranting solo or with the smartest people in the business.
Joe’s guests are a who’s who of the data world: Bill Inmon, Gwen Shapira, Ole Olesen Bagneux, Wes McKinney, Bethany Lyons, Jordan Tigani, Demetrios Brinkmann, Juha Korpala, Yulia Pavlova, Kent Graziano, Keith Belanger, Annie Nelson, Wendy Turner-Williams, Steve Hoberman, Ben Rogojan, Matt Harrison, Dave McComb, Juan Sequeda, Kevin Hu, Vin Vashishta, Ryan Boyd, Tristan Handy, Soloman Kahn, Veronika Durgin, Karl “Ivo” Sokolov, John Kutay, Katherine Jarmul….
Check out old and new episodes on Spotify or Apple

.

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