One Source of Truth: Linking Metric Layers and Data Analytics
Find out how important it is to link metric layers to analytics. Create an SSOT that improves accuracy, consistency, and data-driven decisions.
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Data Stacks
Performant Embedded Analytics at Scale with Pre‑Aggregations
Learn why some dashboards load slow and how to achieve performant at scale for your embedded analytics, with the use of pre‑aggregations via Embeddable + Cube.
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AI Developers - How do they Perform?
We share our experience with a popular AI development tool, Lovable, and how it worked for our internal use.
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The Best Rockset Alternatives to Use after OpenAI Acquisition
As OpenAI integrates Rockset into its portfolio, existing Rockset customers are being transitioned off the platform and will have to find an alternative.
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Database vs Data Warehouse vs Data Lake: What's the difference?
From Netflix to Amazon, a lot of the apps we use every day are built on databases. But data warehouses and data lakes also have their benefits, particularly if you need advanced analytics and reporting. In this article, we’ll dig into the pros, cons, and best use cases of databases, data warehouses, and data lakes.
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Headless BI: What it is, what it’s good for, and how it differs from a semantic layer
In this piece, we unravel the concept of headless BI, exploring its unique benefits and explaining how it stands apart from a semantic layer. We also explore how it’s beneficial for your embedded analytics project (if you want to achieve consistent results).
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The Best Databases for Embedded Analytics in 2026
If you want your analytics experience to load in real-time, you need a database that supports low latency and high concurrency–among other features. In this article, we explore the differences between Rockset, ClickHouse, Apache Druid, and Apache Pinot for you to choose the best one for your needs.
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