Photo credit: Hector Garcia-Molina
I study data and data-intensive systems as a member of the Stanford Future Data Systems group.
Bio: Peter Bailis is an assistant professor of Computer Science at Stanford University. Peter's research in the Future Data Systems group focuses on the design and implementation of next-generation data-intensive systems. His work spans large-scale data management, distributed protocol design, and architectures for high-volume complex decision support. He is the recipient of an NSF Graduate Research Fellowship, a Berkeley Fellowship for Graduate Study, best-of-conference citations for research appearing in both SIGMOD and VLDB, and the CRA Outstanding Undergraduate Researcher Award. He received a Ph.D. from UC Berkeley in 2015 and an A.B. from Harvard College in 2011, both in Computer Science.
Ph.D. students: Edward Gan :: Kexin Rong (w/ Phil Levis) :: Sahaana Suri
Big bet: MacroBase represents the future of high-volume online analytics.
433 Gates Hall
Stanford University
Stanford, CA 94305

Our group's research is generously supported in part by Toyota, Intel, RWE AG, and VMWare.


In addition to leading the Future Data Systems group, I am a member of the Stanford InfoLab, the Stanford Data Science Initiative, the Stanford SystemX Alliance, and the Secure Internet of Things project.

Upcoming Travel & Public Talks
Software-Defined HW Workshop 4/7
Brown 4/20
Stanford SystemX Conference 5/17-19
SAP HANA TechDays 6/24-25
SIGMOD 6/26-7/1
Many thanks to VMWare for supporting Future Data Systems via an Early Career Faculty Award!
Excited to unveil Research for Practice: expert-curated guides to the best of CS research in ACM Queue/CACM! Keep on the lookout for more issues.
Growing excitement around MacroBase: UI upgrades, new time-series feature transforms, many talks and industrial use cases. Stay tuned for updates on the arXiv.
Officially started at Stanford as an assistant professor of Computer Science! Onwards and upwards!
I posted my talk transcript from NorCal DB Day, about the future of data management tools and what databases can learn from Le Corbusier.
I wrote about getting started in research.
I talked at Papers We Love Boston about "Streaming Queries over Streaming Data" (from VLDB 2002). Slides here.
Lots of activity on MacroBase. Welcome to our Future Data Systems Spring quarter rotators!
Thanks to RWE for supporting Future Data Systems via our work in the Stanford Data Science Institute, and welcome to Hans-Martin Hellebrand and Andreas Berger, visiting scholars in our group from RWE!
I'm talking about MacroBase next month at the Stanford Computer Forum's Annual Meeting on April 12th.
I'm thrilled to join my colleagues as part of the Secure Internet of Things project.
New paper draft on our MacroBase engine: analytic monitoring for IoT.
I wrote a post on lean research.
I'm honored to be included in the 2016 Forbes 2016 "30 under 30" in Enterprise Technology. Thanks, Forbes!
I wrote a new post on why I enjoyed graduate school.
Our research group site is live!
Readings in Database Systems, 5th Edition, co-edited with Joe Hellerstein and Mike Stonebraker is now online at
I'm talking at GOTO Chicago in May 2016.
Thanks to Toyota for generously supporting our ongoing research on systems for scalable anomaly detection.
I'm excited to join the editorial board of ACM Queue and help lead a new section on research in practice.
More news

Selected Publications Full List · Google Scholar

Scalable Atomic Visibility with RAMP Transactions
Readings in Database Systems, 5th Edition
Feral Concurrency Control: An Empirical Investigation of Modern Application Integrity
Coordination Avoidance in Database Systems
Coordination Avoidance in Distributed Databases
The Missing Piece in Complex Analytics: Low Latency, Scalable Model Management and Serving with Velox
Quantifying Eventual Consistency with PBS
Highly Available Transactions: Virtues and Limitations
Quantifying Eventual Consistency with PBS
The Network is Reliable: An Informal Survey of Real-World Communications Failures
Scalable Atomic Visibility with RAMP Transactions
PBS at Work: Advancing Data Management with Consistency Metrics
HAT, not CAP: Towards Highly Available Transactions
Eventual Consistency Today: Limitations, Extensions, and Beyond
Consistency without Borders
Bolt-on Causal Consistency
Probabilistically Bounded Staleness for Practical Partial Quorums
The Potential Dangers of Causal Consistency and an Explicit Solution
Programming Micro-aerial Vehicle Swarms with Karma
Dimetrodon: Processor-level Preventive Thermal Management via Idle Cycle Injection
Positional Communication and Private Information in Honeybee Foraging Models

You can follow me on Twitter at @pbailis.