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ClickHouse engineering resources
What is a data lakehouse?
The data lakehouse combines the best of data warehouses and data lakes into a unified architecture. We'll explore its key components, advantages, and how ClickHouse fits into this modern analytics platform.
Last updated: Apr 17, 2026
What is Real-Time Analytics? A Complete Guide (2026)
Discover what real-time analytics is, its key benefits, and its use cases, such as fraud detection. Learn how it differs from batch and what to look for in a database.
Last updated: Apr 14, 2026
Best real-time analytics database for star schema and fast joins (2026 guide)
Compare real-time analytics databases for star schema and fast cross-table joins. Learn what to test in 2026 and choose the right engine for your workload.
Last updated: Apr 8, 2026
Managed Postgres for AI and Real-Time Apps
Learn how managed Postgres on NVMe with native ClickHouse CDC and pg_clickhouse eliminates the ETL tax and scales from OLTP to real-time analytics and AI apps
Last updated: Apr 7, 2026
The ultimate guide to Open Source Observability in 2026: From silos to stacks
Explore the top open source observability stacks for 2025. Compare ELK, LGTM, and unified observability solutions like ClickStack for cost, scale, and high-cardinality data.
Last updated: Nov 10, 2025
A practical guide to observability TCO and cost reduction
Tired of exploding observability bills? Learn how to calculate your true TCO and see how to cut architecture costs by 70-90% vs. ingest-based pricing.
Last updated: Nov 26, 2025
Mastering Kubernetes observability: a guide to monitoring modern architectures
Learn why traditional Kubernetes monitoring fails at scale and how to master observability with a modern cost-effective database-first approach.
Aditya Somani • Last updated: Jan 21, 2026
What is observability in 2026? Why it's an analytics problem and why your database matters.
Observability in 2026 is an analytics problem. Learn why the traditional "three pillars" model fails and how a unified ClickHouse database solves cost and latency issues.
Aditya Somani • Last updated: Jan 7, 2026
8 top New Relic alternatives to break the pricing trap (2026 guide)
Escape New Relic's pricing trap and vendor lock-in. Our 2026 guide compares the top 8 observability alternatives—including Datadog, Grafana, and ClickHouse—for pricing, data ownership, and SQL support.
Aditya Somani • Last updated: Dec 15, 2025
The 8 best Datadog alternatives for observability at scale in 2026
Exploring Datadog alternatives? We compare the top competitors for cost-efficiency, performance at scale, and handling high-cardinality data. Find the right fit.
Aditya Somani • Last updated: Dec 8, 2025
Beyond sampling: managing petabyte-scale logs without losing data
Stop compromising on visibility. Learn how to manage petabyte-scale logs without sampling using ClickHouse’s cost-efficient, columnar architecture.
Aditya Somani • Last updated: Nov 27, 2025
The high-cardinality trap: why your observability platform is failing (and what to do about it)
Tired of slow queries & dropped fields? Learn why traditional observability tools fail with high-cardinality data & how a columnar database like ClickHouse solves it.
Aditya Somani • Last updated: Nov 21, 2025
Top 15 infrastructure monitoring tools in 2026: a performance and cost-based comparison
A complete guide to the best infrastructure monitoring tools. We compare 15 top solutions on features, performance, high-cardinality handling, and cost at scale.
Aditya Somani • Last updated: Nov 17, 2025
Best practices for storing OpenTelemetry Collector data
What are the best practices for storing your OTel Collector data?
Last updated: Nov 10, 2025
The definitive guide to ClickHouse query optimization (2026)
Master ClickHouse query optimization through architectural understanding. Learn why ORDER BY design can improve performance 100×, plus proven techniques for trillion-row millisecond queries.
Al Brown, Tom Schreiber, Lionel Palacin • Last updated: Jan 26, 2026