CelerData Blog

5 Brilliant Lakehouse Architectures from Tencent, WeChat, and More

Your data lakehouse promised flexibility, scalability, and greater cost-effectiveness, but you'd consider yourself lucky if it could de...

3 Data Lakehouse Predictions for 2024

Throughout 2023, data lakehouses played a pivotal role in how businesses stored, accessed, and analyzed their vast amounts of informati...

How to Seamlessly Accelerate Data Lake Queries

Slow data lake queries often compel users to transfer their data and workload to a data warehouse for query acceleration. This process ...

Trino vs. StarRocks: Get Data Warehouse Performance on the Data Lake

Trino has long been praised for its data lake analytics performance, but it now struggles to keep up with modern demands for lower late...

Why Apache Druid Can't Handle Modern Real-Time Analytics

Apache Druid is known for its real-time data ingestion and querying capabilities, especially under high concurrency scenarios. However,...

CelerData X DBTA: Go Pipeline-Free With Real-Time Analytics

While normalization stands as a foundational pillar of relational databases, the unsatisfactory JOIN performance of today's real-time O...

Ditch Denormalization in Real-Time Analytics With JOINs

*The content of this blog post is based on our recent webinar, "Ditching denormalization in Real-time analytics: How StarRocks Delivers...

Denormalizing Tables To Avoid JOINs: Pros, Cons, and Alternatives

As the needs of your business grow and change, so too will your database design approach. For many, this inevitably leads to denormaliz...

Answering Questions About StarRocks vs. ClickHouse

One of the most common solutions our customers compare us to in their evaluation process is ClickHouse, and that's no surprise. After a...