Came across a research covering Garnet (C# reimplementation of Redis). Would you look at these numbers 👀 https://t.co/GjqNFQTqPJ

Buckle up because we're crashing into the new year with my annual database retrospective: License change blowbacks! @databricks vs. @SnowflakeDB gangwar! @DuckDB shotgun weddings! Buying a college quarterback with database money for your new lover!

garnet-server, Microsoft's RESP (Redis-alike) server built on the "FASTER" tech is now available as a .NET global tool, making it one line to install it, then just "garnet-server" to run it. Very nice for RESP geeks:

The Data Systems group at MSR Redmond @MSFTResearch is now looking for in-person summer 2025 interns in the data systems and exploration areas! Interested PhD students (US and international) can apply at https://t.co/uwMsFdSA6k -- thank you!

At #VLDB2024, check our Bf-Tree, our high-perf B-Tree design optimized for small key-values. It uses a mini-page abstraction to cache reads/writes and a variable-length buffer pool to maintain them. See https://t.co/xNsPk6kGfa and attend session C3 at 3:30pm today to learn more!

@davidfowl Damn, Garnet sitting on top of performance benchmarks when compared to Redis, KeyDb and Dragonfly ... If this doesn't scream Microsoft is dead serious about performance of .Net Core, I don't know what does. https://t.co/kcvRo76oJq

The changes to redis licensing might make https://t.co/DPiRZXpzqJ an interesting alternative.

Hi everyone, I'm excited to announce that the Garnet research project is now open source! Garnet is our new cache-store that offers very high performance and adopts the popular RESP wire protocol of Redis. Check it out at https://t.co/ywKgxjCnU8 and see our blog post quoted here.

The Data Systems group at Microsoft Research (Redmond) is looking to hire full-time researchers. We are interested in a variety of topics including storage and indexing, resource management, modern hardware, etc. Check out our job posting and apply here:

Economics eventually prevails over Resume-Driven Development

The Data Systems group at MSR Redmond is now looking for in-person summer 2023 interns in systems and exploration areas! Interested PhD students (US and international) can apply at links below. Database systems: https://t.co/ann5w5xf0Y Data exploration:

Check out our report on Reproducibility and Artifacts Availability in SIGMOD and VLDB ( https://t.co/YxIGc9A683)

Martin was a great database researcher and kind person. This is a big loss. He was knighted by the Dutch govt last year for his DB game. So when he gave a @CMUDB talk I hired a Dutch person to make a fake royal intro for him. Martin's reaction sums up my relationship with him.

The camera-ready version of our paper on a fast 🐎 and reliable 🪵 serverless execution engine for Durable Functions is out now 💥 Stay tuned for the VLDB talk! This is joint work with @sebburckhardt, @badrishc, @cgillum, @davidjustodavid, @comcmaho, @cmeik, and @xiangfeng_zhu

In 2018, we introduced an epoch framework in FASTER to make it easier to write thread-scalable systems. At DaMoN '22 we present EPVS, an epoch-based primitive to create "almost latch free" data structures: https://t.co/QW6yQtqzRv https://t.co/Ghtajl9zp5 cc @tianyu_li_ @samrmadden

Exciting CFP for the Jim Gray Doctoral Dissertation Award!! Any dissertation awarded between Sep 20 and August 21 qualifies. Deadline is March 13th. See all the info here:

We are looking for (virtual) summer interns at Microsoft Research, in the areas of caching, KV store/DB, transaction processing, distribution, sharding, resiliency, storage. If you are (or know) a relevant PhD student located in the US/Canada, reach out via DM or email. Thanks!

Here is the job posting for a researcher position (full time) in the Data Systems group at Microsoft Research, Redmond. Eligible candidates, please see details and apply at:

PhD students looking for a virtual internship this summer at the MSR Data Systems group, please apply at https://t.co/T19LeQhQUY (for data systems) and https://t.co/mi97AAkRzx (for data exploration)

2/2 Crystal uses local storage at compute nodes to accelerate queries and increase the value per cached byte. We show Crystal accelerating queries over Parquet, on unmodified Spark & Greenplum, with small data sources. Joint work w @MSFTResearch intern @DominikDurner & Yinan Li.