MariaDB's strategy, technology, and market forces with Vikas Mathur

Inter-AZ data transfer can quietly bloat your cloud bill. We at StarTree tackled this challenge in #apachepinot - reducing inter-AZ data transfer costs without compromising performance or availability. Our new AZ-aware ingestion approach makes ingestion smarter and more cost-efficient. Check out this detailed write-up by Yue Shen: https://lnkd.in/eZE3VipZ If you’re running Pinot or real-time analytics pipelines in the cloud, this is a must-read. #ApachePinot #StarTree #DataEngineering #RealTimeAnalytics #CloudCostOptimization

IBM and Cockroach Labs’ OEM partnership brings CockroachDB PostgreSQL to IBM’s hybrid cloud, enabling scalable, secure, AI-ready enterprise modernization - https://lnkd.in/g8QKUzJE #CloudNative #DistributedSQL #HybridCloud #EnterpriseTech #AIModernization #TechIntelPro

We launched Query Shape Insights, and our enterprise customers immediately asked one question, "Can we view these insights directly in Datadog?" The answer is now a resounding yes. Our strengthened partnership with Datadog brings detailed query shape metrics from MongoDB Atlas into your unified observability platform. This integration is a direct result of listening to our customers and understanding their workflows. We are committed to providing an enterprise grade, multi cloud data platform that works seamlessly with the tools you already trust. Read more here: https://lnkd.in/egju2DXh

We're thrilled to announce the General Availability (GA) of Axion-based C4A and N4 VMs for Google Cloud SQL editions! 🚀 This is a major milestone, offering our customers Google's Arm-based CPUs to maximize database performance and efficiency. Here are the key benefits you can unlock: Cloud SQL Enterprise Plus edition for PostgreSQL and MySQL benefit significantly from Axion C4A instances: 🚀 They deliver up to 2x higher throughput performance and up to 65% better price-performance versus Amazon’s Graviton4 based offerings. 🚀 They also deliver up to 48% better price-performance over N2 machines for transactional workloads. Modernize your database infrastructure today and experience the future of cloud databases. Read the full blog post for all the details: https://lnkd.in/ezZ7-Enp #GoogleCloud #CloudSQL #Axion #Database

Major launch for Google Cloud SQL, with Google Axion processors and C4A virtual machines now generally available in Cloud SQL Enterprise Plus, alongside the general availability of Google Compute Engine N4 machines in Cloud SQL Enterprise. We're seeing remarkable price-performance gains - C4A on Cloud SQL Enterprise delivers up to 65% better price-performance versus Amazon’s Graviton4-based offerings, while N4 machines deliver up to 44% better price-performance for transactional workloads compared to Cloud SQL general purpose machine series. It's been a privilege working with Subra Chandramouli, Gopal A., Kiran Shenoy, Jason Shao, Arifur Rahman and teams on this key launch. Check out the announcement blog post for more details, including impressive customer results! https://lnkd.in/g-cWEK4k #GoogleCloud #CloudSQL #Axion #Database #GoogleComputeEngine #GCE

We benchmarked a 2TB Dragonfly Swarm cluster. ✅ 10 million+ requests/sec (RPS) easily ✅ Nearly 20 million RPS with pipelining ✅ Far more cost-effective than traditional solutions It’s time to change how we think about scaling in-memory data infrastructure. Read the deep dive: https://hubs.la/Q03LslNQ0 #Cloud #Database #Performance #Scalability

When a major cloud has a rough day, your apps shouldn’t. If today’s AWS outage hit your team, you’re not alone—and there’s a better way to ride through it. With Redis Enterprise and its multicloud Active‑Active architecture, you can keep serving traffic across regions—and even across clouds—without manual promotion or complex failover runbooks. Powered by CRDTs, Redis enables true multi‑primary replication so you can read and write locally in multiple geographies with sub‑millisecond latency, while replicas reconcile automatically. Designs with Redis Enterprise Active‑Active can reach up to 99.999% availability for mission‑critical workloads. What this means for you: * Local reads/writes in each region for consistent low latency, even under failovers. * Automatic conflict resolution and multi‑primary replication—no manual promotion. * Resilience across regions and clouds to minimize blast radius during provider incidents. If you’re rethinking resiliency after today, I’m happy to compare notes and share reference architectures for cross‑region and cross‑cloud Redis. Learn more: https://lnkd.in/eiqCNQdB https://lnkd.in/eQzuzH5P 

Navigating the world of cloud storage can be complex, but making the right choice is crucial for data pipeline success! 🤔 My newest article breaks down the strengths of #AWSS3, #AzureBlobStorage, and #GCPCloudStorage. We're looking at everything from AWS's unmatched feature set and cheapest archival, to Azure's seamless Microsoft integration and hybrid cloud power, and GCP's game-changing approach to high-volume analytics with millisecond latency across all tiers. 📈💡 Stop guessing and start optimizing your #DataArchitecture. Find out which cloud giant truly aligns with your strategic goals: [https://lnkd.in/d9ahEznv ] #CloudStorage #CloudComputing #DataLake #ArchivalStorage #Analytics #MachineLearning #HybridCloud #CostOptimization #CloudComparison #DataPipeline #AmazonWebServices #MicrosoftAzure #GoogleCloudPlatform

The fully managed Couchbase Connector for Confluent Cloud, now available in both Sink and Source configurations. This removes the need to manage connector infrastructure, enabling seamless, bi-directional data movement between Confluent Cloud and Couchbase

Azure Storage Mover’s cloud-to-cloud migration capabilities are now generally available. This release marks a major milestone in helping customers move data their way; whether it’s hybrid, multicloud, or migrating to Azure. With this launch, Storage Mover now supports data migration directly from AWS S3 to Azure Blob Storage through a fully managed, secure, and free-to-use experience. Customers can perform one-time lift-and-shift migrations or iterative syncs, giving them flexibility and control at every step. Azure Storage Mover helps simplify data movement across environments (on-prem to cloud, or cloud to cloud) so customers can focus on what’s next! Learn more: 📘 Read the announcement blog → https://msft.it/6042t62py 🌐 Explore the new product page → https://msft.it/6043t62pJ ▶️ Watch the overview video → https://msft.it/6044t62pK #Azure #StorageMover #AzureStorage #CloudMigration #MultiCloud #DataMigration #AzureBlobStorage