Rockset is a real-time indexing database that enables companies to build data applications at cloud scale. It offers a serverless search and analytics engine platform that allows the creation of apps without the use of pipelines or data preparation.

Rockset is the world's fastest search and analytics database. With real-time indexing, full-featured SQL and cloud-native efficiency, it is the #1 alternative to Elasticsearch for building search, analytics and AI applications.

Sequoia Capital

Greylock

Glynn Capital Management

Icon Ventures

Four Rivers Group

K5 Global

Rockset

Geospatial search made easy 💪 Join our presenter, Sofia Jakovcevic, in this hands-on workshop where you'll harness the geospatial capabilities of Rockset to build a robust search and tracking system. Learn to create dynamic applications that effortlessly locate, track, and manage your products. Together we will build a user-facing dashboard where users can dynamically create shapes on a map and perform searches within those defined areas with data that updates in real-time!

Youtube link: https://lnkd.in/g5nSSJXn

Watch as real-time, streaming data from Apache Kafka is ingested and indexed in Rockset for serving millisecond-latency SQL queries. The demo highlights how Rockset delivers real-time search and analytics in the cloud. 

https://lnkd.in/gtaY85jV

Want to create an autocomplete search engine that's tailored to your data? Build smarter searches with Rockset. 🧠 Check out our latest Workshop:
"Deep Dive into Text, Fuzzy, and Semantic Search" 🎓 Included is a hands-on demo where you'll learn how to build a search engine with autocomplete using a hybrid of Levenshtein distance & Ngrams Term Frequency.

Key Topics
- Text Search: Learn how to perform precise searches on textual data, employ wildcard techniques, and unleash the power of regular expressions for precise pattern matching.
- Fuzzy Search: Learn how to preform more flexible search techniques that take into account spelling and word variations with ease.
- Semantic Search: Learn how to preform textual searches based on the meaning and context of the query and harness the power of modern vector search techniques.

YouTube link: https://lnkd.in/gGzSn525
(Github link in the description 😉 )


The Confluent Data In Motion Tour stops in San Francisco on March 14th! Join us there for a GenAI luncheon with Confluent.

Louis Brandy, VPE at Rockset, and formerly builder of ML and data systems for spam fighting at Meta is drawing on his past experience at Meta and current experience building a vector database at Rockset. 
 
If you’re building, growing or scaling vector search at your company, register for #DIMT San Francisco to attend the luncheon. Louis will chat about key considerations when building AI-powered search and analytics applications on streaming data, including incremental indexing of vectors and real-time metadata filtering.
 
Secure your complimentary pass for the luncheon now! 
https://lnkd.in/gujrpMsP

#datainmotion #dimt #datainmotionsf #genai #streamingdata #realtimeanalytics

Learn how 2K built a centralized platform for real-time game telemetry that supports high-velocity streaming data and millions of concurrent requests. Join Sanju Sriram and Andrei Muratov from Amazon Web Services (AWS) for a tech talk on game telemetry this Wednesday, Feb. 28th at 11am PT. Hosted by Game Developer. Register now --> https://lnkd.in/gGuc8X98

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