Top Tweets for #cedardb
La startup #CedarDB unisce elaborazione transazionale e analisi in un'unica piattaforma per rispondere alle sfide tecnologiche poste dall'#intelligenzaartificiale agentica.
https://t.co/xmxDiOG6ad
Just released another episode in the "Modern Database" Playlist which has 45+ database episodes.
This time we are talking to @PhilippFent from @cedar_db about #CedarDB and learning about the innovations and the amazing engineering behind this modern ultra fast database.
Key Takeaways:
- CedarDB is built from the ground up to utilize modern hardware effectively.
- The system compiles SQL directly to machine code for performance.
- Parallel processing is a key feature, allowing efficient use of multiple cores.
- CedarDB aims to be Postgres compatible while innovating on performance.
- Transactional workloads are handled efficiently without sacrificing analytical capabilities.
- Data ingestion is optimized for both row-oriented and columnar formats.
- The system uses optimistic concurrency control to manage write conflicts.
- Query optimization leverages statistics to improve join performance.
- Future developments include schema evolution and disaggregated storage.
- CedarDB is designed to be flexible and adaptable for various workloads.
Watch the entire episode and enjoy! Link below

Ever wished your analytics could keep up with reality instead of lagging behind?
We wrote about connecting #CockroachDB change data capture (CDC) with #CedarDB, and what that means for running lightning-fast analytical queries on live data.
https://t.co/1yShxGcpya
I really enjoy reading CedarDB blog posts, such as the following one on data locality and its consequences. #Database #performance #CedarDB
Having data in memory is considered the gold standard for data analysis, but are you sure that RAM locality alone is enough?
Read on to learn about the new king of efficient data processing:
https://t.co/gpfq0Zkopq
Check out the latest article in my newsletter: 💥 SSD Speed Bumps? Boost Your Database Performance with Group Commits, Async Processing, and Write Caching! 🚀 https://t.co/y7PFwmw8gt via @LinkedIn
#DatabaseOptimization #SSDPerformance #DatabaseSpeed #CedarDB #MongoDB
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