Close Menu
    DevStackTipsDevStackTips
    • Home
    • News & Updates
      1. Tech & Work
      2. View All

      In-House vs. Outsource Node.js Development Teams: 9 Key Differences for the C-Suite (2025)

      July 19, 2025

      Why Non-Native Content Designers Improve Global UX

      July 18, 2025

      DevOps won’t scale without platform engineering and here’s why your teams are still stuck

      July 18, 2025

      This week in AI dev tools: Slack’s enterprise search, Claude Code’s analytics dashboard, and more (July 18, 2025)

      July 18, 2025

      I ditched my Bluetooth speakers for this slick turntable – and it’s more practical than I thought

      July 19, 2025

      This split keyboard offers deep customization – if you’re willing to go all in

      July 19, 2025

      I spoke with an AI version of myself, thanks to Hume’s free tool – how to try it

      July 19, 2025

      I took a walk with Meta’s new Oakley smart glasses – they beat my Ray-Bans in every way

      July 19, 2025
    • Development
      1. Algorithms & Data Structures
      2. Artificial Intelligence
      3. Back-End Development
      4. Databases
      5. Front-End Development
      6. Libraries & Frameworks
      7. Machine Learning
      8. Security
      9. Software Engineering
      10. Tools & IDEs
      11. Web Design
      12. Web Development
      13. Web Security
      14. Programming Languages
        • PHP
        • JavaScript
      Featured

      The details of TC39’s last meeting

      July 19, 2025
      Recent

      The details of TC39’s last meeting

      July 19, 2025

      Simple wrapper for Chrome’s built-in local LLM (Gemini Nano)

      July 19, 2025

      Online Examination System using PHP and MySQL

      July 18, 2025
    • Operating Systems
      1. Windows
      2. Linux
      3. macOS
      Featured

      Top 7 Computer Performance Test Tools Online (Free & Fast)

      July 19, 2025
      Recent

      Top 7 Computer Performance Test Tools Online (Free & Fast)

      July 19, 2025

      10 Best Windows 11 Encryption Software

      July 19, 2025

      Google Chrome Is Testing Dynamic Country Detection for Region-Specific Features

      July 19, 2025
    • Learning Resources
      • Books
      • Cheatsheets
      • Tutorials & Guides
    Home»Tech & Work»Redpanda Announces the General Availability of Apache Iceberg Topics for the Enterprise

    Redpanda Announces the General Availability of Apache Iceberg Topics for the Enterprise

    April 7, 2025

    Redpanda, the real-time data platform for the agentic enterprise, today announced general availability of Apache Iceberg Topics, which enables organizations to query streaming data as Iceberg tables without having to create ETL/ELT pipelines. Redpanda is the first company to offer this functionality in a “Bring Your Own Cloud” (BYOC) environment and for all three major cloud providers – AWS, GCP, and Azure. Apache Iceberg Topics is a critical component of Redpanda’s recently announced agentic AI service for the enterprise as it allows businesses to seamlessly blend real-time operational insights with historical data, all within their existing data lakehouse environments.

    “Iceberg has become a groundbreaking technology for organizations to unify their analytical and operational data substrate,” said Alex Gallego, founder and CEO of Redpanda. “Redpanda has been a pioneer in giving enterprise data teams access to the best-in-class tools that automate away complexity and give the best data experiences. Iceberg will be a key technology in the future of agentic AI, serving as the backbone to bring streaming data to power next-generation, industry-defining real-time and AI applications.”

    Apache Iceberg has emerged as a critical technology for modern data architectures, addressing inherent limitations within traditional data lakes. By standardizing the metadata that defines groups of files as tables, Iceberg gives data lakes the same benefits as a data warehouse including transactional integrity, portability, and performance, while allowing companies to use multiple query engines and data engineering tools of their choice.

    Redpanda’s Iceberg Topics allows users to create Iceberg tables from Redpanda with a simple topic property setting. These tables are then automatically registered with any of the major Iceberg REST catalogs such as Snowflake Open Catalog, AWS Glue, Nessie, and others.  Redpanda also provides custom partitioning to improve query performance and built-in dead letter queues that filter invalid data, in addition to automatic schema translation and full fidelity schema evolution for data formats such as Protobuf and Avro. Seamless integration with Iceberg-compatible tools eliminates the need for complex data pipelines and reduces the time to real-time insight by making all streams immediately and transparently available to analysts familiar with existing SQL tooling and environments.

    “As LiveRamp continues to build and scale solutions that fuel innovation for our clients, Redpanda has been a key partner in strengthening our streaming data infrastructure and operations,” said Mohsin Hussain, CTO at LiveRamp. “With the new Iceberg integration, we expect to drive faster analytics, simplify data governance, and enhance interoperability, laying the groundwork for more intelligent, AI-driven customer experiences and delivering even greater customer value.”

    Key Benefits of Redpanda’s Iceberg Topics:

    • Simplified Data Access: Create Iceberg tables directly from Redpanda topics, enabling seamless access to streaming data for offline analytics.

    • Elimination of Data Movement: Access data from analytics platforms without costly and complex data migrations.

    • Enhanced Efficiency: Bypass custom data engineering jobs and Kafka Connect, reducing time to insight and infrastructure costs.

    • Schema Evolution and Discoverability: Leverage Iceberg’s robust schema management and secure, centralized REST data catalogs for improved data governance.

    • Real-Time to Offline Integration: Blending real-time and historical data for richer analytics insights.

    • Flexible Schema Support: Automatically derive Iceberg schemas from Redpanda schema registry or utilize a default schema for semi-structured views of data.

    • Custom Partitioning: Define custom partitioning scheme to improve query performance.

    • Dead Letter Queue: Built-in dead letter queues automatically set aside invalid data for targeted re-processing.

    • SQL Accessibility: Enable analysts to use standard SQL queries to analyze streaming data within their data lakehouse.

    The beta version of Iceberg Topics was launched in December 2024. This capability is now available to all Redpanda Enterprise Edition customers and is available as public beta for Redpanda BYOC customers. For more information, visit the website and register for the Tech Talk.

    Redpanda will be exhibiting as a gold sponsor at the Iceberg Summit on Tuesday, April 8 at Hyatt Regency SF Downtown. Attendees are invited to the Redpanda booth to learn more and attend the Redpanda session.

    The post Redpanda Announces the General Availability of Apache Iceberg Topics for the Enterprise appeared first on SD Times.

    Source: Read More 

    news
    Facebook Twitter Reddit Email Copy Link
    Previous ArticleCloudflare announces remote MCP server to reduce barriers to creating AI agents
    Next Article Samsung’s One UI 7 arriving for these devices first – here’s a trick for getting it early

    Related Posts

    Tech & Work

    In-House vs. Outsource Node.js Development Teams: 9 Key Differences for the C-Suite (2025)

    July 19, 2025
    Tech & Work

    Why Non-Native Content Designers Improve Global UX

    July 18, 2025
    Leave A Reply Cancel Reply

    For security, use of Google's reCAPTCHA service is required which is subject to the Google Privacy Policy and Terms of Use.

    Continue Reading

    CVE-2025-49652 – Lablup BackendAI Missing Authentication Vulnerability

    Common Vulnerabilities and Exposures (CVEs)

    CVE-2025-49197 – Cisco FTP Weak Password Hash

    Common Vulnerabilities and Exposures (CVEs)

    CVE-2025-6911 – PHPGurukul Student Record System SQL Injection Vulnerability

    Common Vulnerabilities and Exposures (CVEs)

    The new KB5055615 for Windows 11 Beta Channel brings huge improvements for the 23H2 version

    Operating Systems

    Highlights

    CVE-2025-3951 – WordPress WP-Optimize SQL Injection Vulnerability

    June 2, 2025

    CVE ID : CVE-2025-3951

    Published : June 2, 2025, 6:15 a.m. | 1 hour, 6 minutes ago

    Description : The WP-Optimize WordPress plugin before 4.2.0 does not properly escape user input when checking image compression statuses, which could allow users with the administrator role to conduct SQL Injection attacks in the context of Multi-Site WordPress configurations.

    Severity: 0.0 | NA

    Visit the link for more details, such as CVSS details, affected products, timeline, and more…

    ProtectEU Is Here – But Can It Really Protect Europe from Rising Security Threats?

    April 3, 2025

    CVE-2025-48976 – Apache Commons FileUpload Denial of Service (DoS) Vulnerability

    June 16, 2025

    Microsoft says it’s committed to Windows 11 performance upgrade, needs feedback

    July 19, 2025
    © DevStackTips 2025. All rights reserved.
    • Contact
    • Privacy Policy

    Type above and press Enter to search. Press Esc to cancel.