Real-Time AI

Build AI-Powered Apps Quickly

Applications powered by real-time AI are the future. Developers prefer using DataStax Astra DB to build and deploy generative AI applications. Real-time AI from DataStax, built on Apache Cassandra® for speed and scale.

Vector Search with Astra DB

Build GenAI agents using real-time data in Cassandra and Astra

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Bring the Power of ML to Your Data

Accelerate the delivery of AI-powered apps, eliminate data transfer costs, and access the right data at the right time.

The Power of Relevant Recommendations for Customer Behavior

New DataStax research highlights the impact of AI-powered recommendations for today’s consumers.

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Benefits

Build Real-Time,
AI-Powered Apps

More Accurate Predictive Analytics

Improve decision-making through deeper, more accurate insights into dynamically-changing customer behavior, manufacturing operations, supply chain, and more. Unique time-based approach enhances model accuracy and relevance to impact, thereby enhancing operational efficiency.

More Accurate Predictive Analytics

Optimized ML Performance

Train models with the most up to date, accurate, real-time event datasets, synced with customer behavior and business operations. Use real-time data for AI-powered virtual assistants to provide immediate and personalized customer interactions.

Optimized ML Performance

Simplified Data Engineering

Bring ML to real-time datasets, instantly ingesting data at massive scale without managing complex infrastructure and ops.

Simplified Data Engineering

Reduced Costs

Start for free, eliminate data transfer costs by keeping data centralized, and leverage market leading cloud economics.

Reduced Costs

Improved Data Governance

Maintain raw data, features, and models in Astra to streamline regulatory processes, reuse and model optimization. Effective data governance upholds data integrity and compliance.

Improved Data Governance

Leaders Shaping Their Industries Leveraging AI-Powered Apps

“In e-commerce, you must be able to instantaneously act on insights to provide customers with the most impactful experiences; and that requires the application of machine learning on real-time transactions. We have millions of customers using our website and mobile apps at any given moment and Astra DB is a powerful component of the Priceline data infrastructure. Our machine learning algorithms use massive data troves to provide valuable customer insights, greater personalization, and better travel recommendations, fueling our larger customer ecosystem.”

Martin Brodbeck
CTO at Priceline

"We depend on DataStax Astra DB for the dynamic scalability and high performance we need to apply machine learning (ML) to real-time data. This means we can provide highly accurate, actionable insights for our clients and their customers."

Michael Cullum
CTO at Bud

"Liquid Analytics helps companies achieve their goal-based decisions with a real-time streaming analytics engine, Liquid Decisions. Astra DB gives us the performance and scalability objectives we require to deliver high-availability analytics for our customers.”

Vish Canaran
Data Science at Liquid Analytics

“The International Maritime Organization (IMO) has set a goal of cutting carbon emissions by 50% across the global maritime industry by 2050. Our SMARTShip platform is helping make this possible by leveraging DataStax Astra DB for AI-powered, predictive analytics. By transforming thousands of data points from some 40 major equipment systems on a typical ship in real time, our solutions enable vessel operators to optimize fuel costs and other operational parameters while advancing sustainability objectives.”

Praveen Viswanath
Co-founder and Enterprise Architect at Alpha Ori Technologies

“Our mission is to help every farmer grow healthier plants through AI/ML-powered, automated irrigation. Our high-resolution forecasts and soil moisture insights are backed by real-time data using DataStax Astra DB for accelerated performance.”

Revital Kremer
Chief Technology Officer at SupPlant

“Unlike many companies that claim emotional AI capabilities but only analyze words, Uniphore uses Computer Vision, Tonal and Natural Language Processing deep learning models to account for all modes of sentiment expression - facial expressions, tonal sentiment and the words that are spoken. We have about fourteen AI models that run in real time to coalesce the data into meaningful "read the room" for our clients. Without the ability to process data in real time, our solution really wouldn't be possible.”

Saurabh Saxena
Head of Technology and R&D

Resources

Success Stories

Bring AI to Life with DataStax, NVIDIA, and Wikimedia

Learn how 2 developers ingested, chunked, and vectorized one of the world’s largest and most complex datasets in just 3 days—10x faster than other solutions.

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Report

DataStax Named a Forrester Leader in Vector Databases

We’re thrilled to announce that DataStax is the only hybrid vector database named a Leader in the Forrester Wave™: Vector Databases, Q3 2024 report. Learn how we approach this emerging market.

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Press Release

Announcing DataStax AI Platform, Built with NVIDIA AI

As enterprises increasingly adopt AI technologies, they face a complex challenge of efficiently developing, securing, and continuously improving AI applications to leverage their data assets.

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Build Real-Time, AI-Powered Apps

Drive the biggest impact with real-time, AI-powered apps built with predictive ML directly on DataStax Astra DB (built for speed and scale on Apache Cassandra®). The right data. The right infrastructure. The right time.