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Pioneering customer-centric pricing models: Decoding ingest-centric vs. answer-centric pricing

Dynatrace

Dynatrace has developed the purpose-built data lakehouse, Grail , eliminating the need for separate management of indexes and storage. All data is readily accessible without storage tiers, such as costly solid-state drives (SSDs). No storage tiers, no archiving or retrieval from archives, and no indexing or reindexing.

Retail 236
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Causal AI use cases for modern observability that can transform any business

Dynatrace

Retailers can analyze how factors such as demand, competition, and market trends affect pricing. Data lakehouses combine a data lake’s flexible storage with a data warehouse’s fast performance. Algorithms can mine customer behavioral data to understand the underlying factors driving purchasing decisions.

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Happy 15th Birthday Amazon S3 -- the service that started it all

All Things Distributed

We had to rethink everything previously known about building scalable systems. Storage was one of our biggest pain points, and the traditional systems we used just weren’t fitting the needs of the Amazon.com retail business. and we needed the low cost with high reliability that wasn’t readily available in storage solutions.

Ecommerce 216
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What is Greenplum Database? Intro to the Big Data Database

Scalegrid

Greenplum uses an MPP database design that can help you develop a scalable, high performance deployment. High performance, query optimization, open source and polymorphic data storage are the major Greenplum advantages. Polymorphic Data Storage. At a glance – TLDR. The Greenplum Architecture. Greenplum Advantages.

Big Data 321
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Conducting log analysis with an observability platform and full data context

Dynatrace

“Logs magnify these issues by far due to their volatile structure, the massive storage needed to process them, and due to potential gold hidden in their content,” Pawlowski said, highlighting the importance of log analysis. Business leaders can decide which logs they want to use and tune storage to their data needs.

Analytics 187
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Kubernetes in the wild report 2023

Dynatrace

Through effortless provisioning, a larger number of small hosts provide a cost-effective and scalable platform. Redis is an in-memory key-value store and cache that simplifies processing, storage, and interaction with data in Kubernetes environments. The different infrastructure setup reflects economic and technical considerations.

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The Next Generation in Logistics Tracking with Real-Time Digital Twins

ScaleOut Software

Consider a retail chain of stores or restaurants with tens of thousands of outlets. In addition, the platform provides fast, in-memory data storage so that the application can easily and quickly record both telemetry and analytics results for each store. Walgreens has more than 9,000, and McDonald’s has more than 14,000 in the U.S.