Fetched | January 2025
Welcome to 2025—and a brand-new year of Fetched!
As we kick off the year, we’re diving straight into what matters: efficiency, scalability, and solving the challenges that keep you up at night (like whether Redis can really keep up—spoiler alert: it can’t).
This month, we’re also gazing into the future with expert predictions for AI and data platforms in 2025. From trend-setting innovations to the evolution of GenAI, we’ve got the insights to keep you ahead of the curve.
In this edition, you’ll find everything from upcoming events and sustainability tips to the latest on vector search and database innovations. We’ve also rounded up some must-read resources to help you work smarter, build faster, and start the year strong.
So, let’s hit the ground running. Here’s to a productive and groundbreaking 2025! ??
What’s trending
Blog: What’s next for AI and data platforms? Predictions for 2025
What will 2025 bring to the data space? Some of our thought leaders share their insights on what to expect.
Blog: How Aerospike outperforms Redis in efficiency
Understand how Redis’ inefficiencies grow with scale. Aerospike offers better performance, lower costs, and a sustainable solution for real-time database needs.
Blog: Introduction to database scalability
Learn scaling strategies, including horizontal and vertical techniques, for optimizing modern databases.
Blog: How we did it - Enhancing our search engine with AI and vectors
We built a cutting-edge hybrid search engine combining vector and keyword search for enhanced relevance and performance.
Blog: Smart search, smarter results - Inside an Aerospike-powered search engine
Aerospike Vector Search enhances website search with hybrid models, combining keyword precision and semantic understanding for high-quality results.
Blog: Real-time recommendations at any scale with Aerospike Vector Search
Aerospike Vector Search enables scalable, real-time search and recommendations using vector embeddings, perfect for AI-driven applications.
Press release: Latest Aerospike Vector Search keeps data fresh for accurate GenAI and ML decisions regardless of scale
Durable self-healing indexes, flexible storage configurations, and Langchain and AWS Bedrock integrations streamline AI deployments, enhance outcomes and lower costs.
Upcoming events
Unlock better recommendations with a scalable approach to vector search webinar
January 14, 2025 | 10am PST | 1pm EST | Online
领英推荐
Navigating efficiency and sustainability: Transforming TomTom with Aerospike webinar
January 28, 2025 | 10am EST | 4pm CET | Online
Thinking of switching from Redis?
Comparison page: Redis comparison page
Sustainability
ICYMI: Top 5 webinars
évoluez sereinement: Comment Aerospike résout les limitations de Redis (Aerospike solves Redis limitations): Watch here en fran?ais
Databases at massive scale: Operations in milliseconds on gigabytes to petabytes: Watch here
The ultimate guide to using vector search with knowledge graphs: Watch here
Achieving cache-level performance without storing data in RAM: Watch here
Five reasons to replace Redis: Watch here
Reading list
Techround: Expert predictions for advertising In 2025
The New Stack: Scale data platforms with a Kubernetes-first approach