Aerospike

#Aerospike is the massively scalable, millisecond latency, real-time multi-model #database. Built for the infinitely possible, architects, developers, and DevOps can surprise themselves with what they can do with data including: -Low latency to make decisions faster -99.999% uptime to be customer-ready -No more limits to performance -Database scalability to keep innovating Start for free and learn more at: https://lnkd.in/gGKnhPPW #data #NoSQL

🌸 We kicked off Spring in style! 🌸 Yesterday, #Aerospike HQ hosted a fun Happy Hour to celebrate the first day of Spring! 🍹✨ It was the perfect break to enjoy some refreshing drinks and share laughs with our amazing fellow #Spikers. Work hard, but always make time for fun! Thanks to everyone who joined us and to everyone who made this happen! 🎉 https://lnkd.in/gTPbKYJQ Sigal Laufer Brandi Nicholson Julie Moreland Maleea (Sing) Tanakhone Lauriel Palmer Mary Lou Strong Lynda Pimentel Srini V. Srinivasan Subbu Iyer

#Aerospike #Vector Search (#AVS) 1.1.0 now includes support for a standalone index mode, allowing users to build their indexes more efficiently in memory before transitioning them into distributed mode. With AVS 1.1.0 and Python client 4.1.1, #developers can efficiently build standalone indexes in memory before transitioning them to distributed mode for real-time querying. This significantly speeds up bulk indexing while maintaining the robust capabilities of Aerospike #VectorSearch. Learn how to leverage this new feature using the AVS #Python client. 💡 ➡️ Read the full blog here: https://lnkd.in/gTX3FAWU Dylan Welch Steve Tuohy #Database #DatabaseManagement

Aerospike Vector Search 1.1.0 is here! 🚀 #Aerospike #Vector Search (#AVS) 1.1.0 now includes support for a standalone index mode, giving the ability to build indexes on a single node in the cluster. This “standalone” node takes full advantage of all the memory and #CPU of a single node without fear of impacting the rest of your cluster, ideal for batch updates or full index rebuilds when testing new index settings or embedding models. Discover how the new standalone indexing feature speeds up #HNSW index construction, allowing #developers to iterate faster, scale efficiently, and keep search and retrieval systems optimized. 🔗 ➡️ Read our full blog here: https://lnkd.in/gTWMNc58 Adam Hevenor Steve Tuohy #VectorSearch #Database #DatabaseArchitecture

We evaluated the performance of Amazon Web Services (AWS) Graviton4-based Amazon EC2 I8g instances against AWS Graviton2-based #Amazon EC2 I4g instances, designing a workload that mirrors real-world #AdTech demands, focusing on ultra-low latency, high availability, #scalability, and cost efficiency. Discover how running the latest version of #Aerospike on #AWS #Graviton4 not only delivers up to 6X more throughput and dramatically lower tail latencies, but also translates directly into increased revenue opportunities and cost savings for customers. 💡⚡ Read our full blog here: 👉 https://lnkd.in/gbm2UJJA #Developer #MarTech #Database Steve Tuohy Jim Doty Matt Bushell Heidi Larsen Srini V. Srinivasan Srinivasan Seshadri

If #sustainability and efficiency are priorities for your enterprise, the data speaks for itself: #Aerospike outclasses #Redis on every front. - Node efficiency: Aerospike needs up to 87% fewer nodes than Redis for comparable workloads. - TCO savings: Aerospike customers routinely enjoy up to 80% lower #TCO compared with Redis. - Server reduction by up to 80%: Aerospike manages petabyte-scale workloads with a fraction of the servers Redis needs. Discover how #Aerospike offers the performance and reliability needed from a truly strong #database. 🚀 Read our full blog here: https://lnkd.in/gF8BV53p #RedisReplaced #AdTech #MarTech #Advertising

Great discussion on the TechGig podcast with Sukriti Yaduwanshi and #Aerospike’s Tim Faulkes about #NoSQL, #data migration, and the evolving #database landscape! If you're navigating the challenges of modern #datamanagement, this episode is worth a listen. ⬇️

Last night’s Paris meetup with Criteo was a success! Attendees learned how Criteo uses #Aerospike to plan, deploy, and monitor high-traffic key/value stores to optimize performance and reliability thanks to Peter Goron. Nicolas WLODARCZYK also discussed real-world capacity planning, infrastructure, and monitoring techniques to improve #data platforms. Thanks to Criteo for hosting such a great event! 🚀 Interested in attending other Aerospike meetups? Check out our upcoming events: https://lnkd.in/gjjmGrGi Pierre Berard #DevMeetup #TechMeetup #ParisTech #Developer #Database

Happy #PiDay! 🥧 In this fun blog, whose concept was "engineered" by our very own Joshua P., discover how to use Expressions in #Aerospike to calculate the value of Pi using a #MonteCarlo technique. The fun example highlights an underlying technique of using Expressions in Aerospike to compute incoming #data values for thresholds and apply conditional executions to real-time situations. Access the full blog here: https://lnkd.in/gnT3WNFS #Developer #Database

Real-time bidding (#RTB) is an essential process in programmatic advertising that optimizes ad spend and enhances audience targeting. It allows advertisers to bid for ad inventory in real time and leads to transactions that happen in milliseconds. In this blog, discover: - How does real-time bidding work? - Why is real-time bidding important? - Demand-side platforms vs. supply-side platforms Read the full blog here 👉 https://lnkd.in/g9NCRjjB #DigitalAdvertising #AdTech #Aerospike #Database