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Recap of Amazon Redshift key product announcements in 2024

AWS Big Data

Amazon Redshift , launched in 2013, has undergone significant evolution since its inception, allowing customers to expand the horizons of data warehousing and SQL analytics. Industry-leading price-performance Amazon Redshift offers up to three times better price-performance than alternative cloud data warehouses.

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Capital One Offers Cost Controls for Cloud Data Warehouses

David Menninger's Analyst Perspectives

The adoption of cloud environments for analytic workloads has been a key feature of the data platforms sector in recent years. For two-thirds (66%) of participants in ISG’s Data Lake Dynamic Insights Research, the primary data platform used for analytics is cloud based.

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Amazon Redshift announcements at AWS re:Invent 2023 to enable analytics on all your data

AWS Big Data

In 2013, Amazon Web Services revolutionized the data warehousing industry by launching Amazon Redshift , the first fully-managed, petabyte-scale, enterprise-grade cloud data warehouse. Amazon Redshift made it simple and cost-effective to efficiently analyze large volumes of data using existing business intelligence tools.

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Periscope Data Expands to Israel, Empowering Data Teams with Powerful Tools

Sisense

Similarly, Kyle outlined how Flexport , the world’s first international freight forwarder and customs brokerage built around an online dashboard, uses Periscope Data to analyze billions of records, and get answers in seconds. Kongregate has been using Periscope Data since 2013. Omid Vahdaty, CTO of Jutomate Ltd.,

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The Future Belongs to Purpose-Built Apps. We're Betting On It.

Juice Analytics

Three barriers to democratizing data The struggle of getting data to more people in more useful ways boils down to a few unsolved problems. First, general purpose platforms and tools (data lakes, enterprise data warehouses, Tableau) can be a foundation, but they don’t deliver end-user solutions.

IT 58
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Databricks Scores Massive Funding Round, Continues to Expand Its Offerings

David Menninger's Analyst Perspectives

Founded in 2013, Databricks initially gained prominence for its cloud-based Apache Spark services, aimed at enhancing big data processing and creating an alternative to MapReduce. In 2013, the project was donated to the Apache Software Foundation. Over time, the worlds of data lakes and data warehouses collided.

IT 147