Faster AI, Lower Latency with Iceberg Databases

Faster AI, Lower Latency with Iceberg Databases

New product launch. Register here for this free virtual event.

Perform faster vector search and improved full-text search in your own virtual private cloud. Autoscale. Say goodbye to complex ETL, data thawing or replication. Users can now drive subsecond analytics and power low-latency applications all while ensuring security, reliability and data governance.

Overview

Today, organizations estimate that more than 90% of their enterprise data is “frozen” in data lakes (like Iceberg tables) and is unusable for powering fast analytics or intelligent applications. This leads to frustrated users dealing with sluggish analytics and application performance when dealing with data from Iceberg.

So, how do you unfreeze the data locked in lakehouses?

Join us on June 26, where we will be unveiling new product features and capabilities in SingleStore — including a novel solution to ingest and process data directly from Iceberg tables — powering your fast, intelligent applications.

Say goodbye to complex ETL, data thawing or replication. Users can now drive subsecond analytics and power low-latency applications all while ensuring security, reliability and data governance.

Join us as we unveil these new to learn more, and see interactive, hands-on demos on how to:

  • Unfreeze your lakehouse to power low-latency applications with native integration for Apache Iceberg
  • Perform faster vector search and improved full-text search
  • Scale your apps and decrease complexity with Autoscaling
  • Deploy SingleStore in your own virtual private cloud (VPC)

And much more. Mark your calendars for this virtual event — and get ahead in building fast, intelligent applications.

Register here.


Thomas Cherickal

Technical Writer creating Thought Leadership Articles. Topics: Python, Julia, Golang, Dart, Flutter, Rust, C, C++, AI, ML, DL, RL, LLMs, Scikit-Learn, TensorFlow, DeepMind, PyTorch, Blockchain, DeFi, Web3, Quantum.

9 个月

Incredible!

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Kenny Robinson

Geospatial Intelligence (GEOINT) Leader | AI & ML Systems Implementation | IT Project & Program Advisor | Imagery Analysis & Interpretation | KPI Development & Monitoring | US Army Veteran

9 个月

Curious to see if it can save time on large image processing?

Manish Kumar

Student at LNCT Bhopal'27 | Computer science and engineering (IOT & Cyber security including Blockchain technology). | Web Dev. | C, C++, Python, HTML5, CSS 3, Bootstrap 5, JavaScript, Data structure and Algorithms(DSA).

9 个月

Intresting

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