TUM Database Group (@tum_db) 's Twitter Profile
TUM Database Group

@tum_db

Technical University of Munich

ID: 972213478114189312

linkhttps://db.in.tum.de/ calendar_today09-03-2018 20:52:10

38 Tweet

458 Takipçi

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Andreas Kipf (@andreaskipf) 's Twitter Profile Photo

Excited to share our NeurIPS Conference workshop paper on benchmarking learned indexes! Joint work with Ryan Marcus and Tim Kraska Paper: arxiv.org/abs/1911.13014 Code: learned.systems/sosd

Excited to share our <a href="/NeurIPSConf/">NeurIPS Conference</a> workshop paper on benchmarking learned indexes! Joint work with <a href="/RyanMarcus/">Ryan Marcus</a> and <a href="/tim_kraska/">Tim Kraska</a>

Paper: arxiv.org/abs/1911.13014
Code: learned.systems/sosd
Andy Pavlo (@andypavlo.bsky.social) (@andy_pavlo) 's Twitter Profile Photo

This is Thomas Neumann: db.in.tum.de/~neumann/index… People outside of academia may not know but he is probably the #1 DB systems researcher in the world. He sold his last DBMS (HyPer) to Tableau: hyper-db.de He just announced his new DBMS Umbra: umbra-db.com

This is Thomas Neumann: db.in.tum.de/~neumann/index…

People outside of academia may not know but he is probably the #1 DB systems researcher in the world.

He sold his last DBMS (HyPer) to Tableau: hyper-db.de

He just announced his new DBMS Umbra: umbra-db.com
Andreas Kipf (@andreaskipf) 's Twitter Profile Photo

Exciting @SIGMOD2020 paper on compressed bitmaps by my colleagues at TUM: Tree-Encoded Bitmaps (TEB) are consistently smaller than Roaring while still being efficient to query! Paper: db.in.tum.de/~lang/papers/t…

Exciting @SIGMOD2020 paper on compressed bitmaps by my colleagues at TUM:

Tree-Encoded Bitmaps (TEB) are consistently smaller than Roaring while still being efficient to query!

Paper: db.in.tum.de/~lang/papers/t…
Andreas Kipf (@andreaskipf) 's Twitter Profile Photo

New paper on L5, a library that uses RDMA or Shared Memory to mitigate the network bottleneck in modern DBMSs, to appear in IEEE ICDE Conference db.in.tum.de/~fent/papers/L…

New paper on L5, a library that uses RDMA or Shared Memory to mitigate the network bottleneck in modern DBMSs, to appear in <a href="/icdeconf/">IEEE ICDE Conference</a> db.in.tum.de/~fent/papers/L…
Andreas Kipf (@andreaskipf) 's Twitter Profile Photo

Philipp Fent from @TUM_DB will present our Self-Tuning Adaptive Radix Tree at the ظس workshop at 11.30am Dallas time tomorrow. db.in.tum.de/~fent/papers/S…

Philipp Fent from @TUM_DB will present our Self-Tuning Adaptive Radix Tree at the <a href="/smdb2020/">ظس</a> workshop at 11.30am Dallas time tomorrow. db.in.tum.de/~fent/papers/S…
Andreas Kipf (@andreaskipf) 's Twitter Profile Photo

RadixSpline, an efficient learned index that can be built in a single pass over sorted data. A great fit for LSM-trees like RocksDB. Joint work with Ryan Marcus, Tim Kraska, and @TUM_DB. #aiDM2020 @SIGMOD2020 arxiv.org/abs/2004.14541

RadixSpline, an efficient learned index that can be built in a single pass over sorted data. A great fit for LSM-trees like <a href="/RocksDB/">RocksDB</a>. Joint work with <a href="/RyanMarcus/">Ryan Marcus</a>, <a href="/tim_kraska/">Tim Kraska</a>, and @TUM_DB. #aiDM2020 @SIGMOD2020 arxiv.org/abs/2004.14541
Andreas Kipf (@andreaskipf) 's Twitter Profile Photo

The source code of Tree-Encoded Bitmaps has been released. A great alternative to Roaring. Also check out the talk at @SIGMOD2020 later today!

Lukas Vogel (@vogellu) 's Twitter Profile Photo

This week, we are presenting Mosaic, a budget-conscious storage engine for relational databases at VLDB '20. It's a collaboration between TUM Database Group and #Fujitsu. Read the full paper here: vldb.org/pvldb/vol13/p2…

This week, we are presenting Mosaic, a budget-conscious storage engine for relational databases at VLDB '20. 
It's a collaboration between <a href="/tum_db/">TUM Database Group</a>
 and #Fujitsu. Read the full paper here: vldb.org/pvldb/vol13/p2…
Andreas Kipf (@andreaskipf) 's Twitter Profile Photo

Join us tomorrow at 7am PST (4pm CET) for "The Case for Distance-Bounded Spatial Approximations" at CIDR 2025. We show how to use learned indexes for approximate but error-bounded geospatial query processing. Also take a look at our paper: cidrdb.org/cidr2021/paper…

Join us tomorrow at 7am PST (4pm CET) for "The Case for Distance-Bounded Spatial Approximations" at <a href="/cidrdb/">CIDR 2025</a>. We show how to use learned indexes for approximate but error-bounded geospatial query processing.

Also take a look at our paper: cidrdb.org/cidr2021/paper…
AlexBeischl (@alexbeischl) 's Twitter Profile Photo

You work on a compiling dataflow system and know the struggles of deciphering the low-level profiling results for your system? Then check out our latest work "Profiling Dataflow Systems on Multiple Abstraction Levels" which I will present this Tuesday at EuroSys 2023!

Jana Giceva (@janagiceva) 's Twitter Profile Photo

Join us at VLDB 2021 this week! Our database group at TUM TUM Database Group has a pretty remarkable appearance: with the test of time award for Thomas Neumann, 5 research and 1 workshop papers by our amazing students, an invited talk, and a panel discussion.

Lukas Vogel (@vogellu) 's Twitter Profile Photo

We're excited to present Plush, a new write-optimized key-value store for PMem at VLDB 2025 🇬🇧 on Tuesday. Plush takes the best bits of LSM trees and makes them work for modern storage hardware! Feel free to say hello!

We're excited to present Plush, a new write-optimized key-value store for PMem at <a href="/VLDBconf/">VLDB 2025 🇬🇧</a> on Tuesday.
Plush takes the best bits of LSM trees and makes them work for modern storage hardware!
Feel free to say hello!
Jana Giceva (@janagiceva) 's Twitter Profile Photo

1/ Lukas Vogel will present "Plush: A Write-Optimized Persistent Log-Structured Hash-Table" in Research Session 2. Joint work with Alexander van Renen, Satoshi Imamura, Thomas Neumann and Alfons Kemper. paper: db.in.tum.de/~vogel/papers/… code: github.com/tum-db/Plush

Jana Giceva (@janagiceva) 's Twitter Profile Photo

2/ Michael Jungmair will present "Designing an Open Framework for Query Optimization and Compilation" in Research Session 8. This is joint work with André Kohn (André Kohn). paper: db.in.tum.de/~jungmair/pape… code: github.com/lingo-db/lingo….

Jana Giceva (@janagiceva) 's Twitter Profile Photo

3/ Christian Winter will present "On-demand State Separation for Cloud Data Warehousing" in Research Session 29. It is joint work with Thomas Neumann and Alfons Kemper. paper: db.in.tum.de/~winter/papers…

Jana Giceva (@janagiceva) 's Twitter Profile Photo

4/ Per Fuchs (Per Fuchs) will present "Sortledton: a Universal, Transactional Graph Data Structure" in Research Session 44. Joint work with Domagoj Margan (Dom Margan). paper: vldb.org/pvldb/vol15/p1… code: gitlab.db.in.tum.de/per.fuchs/sort….

Jana Giceva (@janagiceva) 's Twitter Profile Photo

5/ Leonard von Merzljak will present "What Are You Waiting For? Use Coroutines for Asynchronous I/O to Hide I/O Latencies and Maximize the Read Bandwidth!" at ADMS, with Philipp Fent, Thomas Neumann and Alfons Kemper. paper: db.in.tum.de/~fent/papers/c… code: github.com/L-v-M/async

Jana Giceva (@janagiceva) 's Twitter Profile Photo

I am also thrilled that our paper "Sortledton: a Universal, Transactional Graph Data Structure" was selected as a best paper runner-up for the regular research track at VLDB 2025 🇬🇧 -- an amazing effort by the brilliant Per Fuchs and Dom Margan. Congrats to all other winners!

TUM Database Group (@tum_db) 's Twitter Profile Photo

VLDB'22 in Sydney starts on Monday. Our group has a great line-up of papers covering a range of topics (full list at db.in.tum.de), including a best paper runner-up for the regular research track (vldb.org/2022/?conferen…). Looking forward to seeing you there!