Apr 8 · 13 min read · The Fundamental Difference: OLAP Over History vs Streaming Over Live Data Before comparing specific features, it is worth being precise about what problem each database solves, because this choice is ultimately about use case fit rather than which da...
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Feb 13 · 6 min read · How to Implement Real-Time Analytics with ClickHouse ClickHouse has emerged as one of the most powerful open-source columnar database management systems for real-time analytics. Developed by Yandex, it's designed to handle massive volumes of data wit...
Join discussionFeb 13 · 7 min read · How to Implement Real-Time Analytics with ClickHouse Real-time analytics has become a cornerstone of modern data-driven applications. Whether you're building a SaaS dashboard, monitoring system, or user behavior analytics platform, the ability to que...
Join discussionFeb 5 · 4 min read · I'm diving into the world of big data using Rust. This might sound unusual—isn't Python the industry standard? Yes, Python dominates the field, but I chose Rust because I want to master it for systems programming, which is my end goal. It all started...
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Dec 19, 2025 · 8 min read · By creating a simple SQL query Go application. Introduction ClickHouse is a beast 🔥; companies like OpenAI, Netflix, and Cloudflare rely on it, but when does it actually make sense to run ClickHouse? When people talk about analytics databases, the d...
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Dec 1, 2025 · 9 min read · Introduction You've got structured logging with Zap. You're collecting metrics with Prometheus. You're tracing requests with OpenTelemetry. Great! But here's the problem: where do you store all this data long-term? Prometheus only keeps data for 15 d...
Join discussionOct 26, 2025 · 8 min read · When your microservices start speaking ten different log languages, chaos is inevitable 🤯.To solve this, at our company, I built a Rust-based structured logging framework inspired by Zerodha’s tech stack, but designed and developed entirely from scr...
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