Back to authors
Matteo Interlandi
- Author ID
- u1534
- ORCID
-
-
- Links
-
(found by gpt-5.6-luna on jul 24 2026)
- Most Frequent Institution
- Microsoft
- Pagerank
- 0.21579982
- Overall Rank
- 262 | 98.79%
- Paper Count
- 27
Affiliation Timeline
Incoming Non-self Citations Over Time
Total yearly non-self incoming citations across all papers by this author.
Publications by Paper Pagerank
Showing 27 of 27 publications.
| Rank |
Title |
Year |
Venue |
Pagerank |
| 1,564 |
Titian: Data Provenance Support in Spark |
2016 |
VLDB |
0.00010222394 |
| 1,921 |
QUEST: A Keyword Search System for Relational Data based on Semantic and Machine Learning Techniques |
2013 |
VLDB |
9.3765039e-05 |
| 2,182 |
Extending Relational Query Processing with ML Inference |
2020 |
CIDR |
8.8982998e-05 |
| 2,460 |
Query Processing on Tensor Computation Runtimes |
2022 |
VLDB |
8.4348335e-05 |
| 2,635 |
Big Data Analytics with Datalog Queries on Spark |
2016 |
SIGMOD |
8.1965216e-05 |
| 2,662 |
End-to-end Optimization of Machine Learning Prediction Queries |
2022 |
SIGMOD |
8.1596229e-05 |
| 3,683 |
Cloudy with High Chance of DBMS: A 10-year Prediction for Enterprise-Grade ML |
2020 |
CIDR |
7.1006425e-05 |
| 3,949 |
Deploying a Steered Query Optimizer in Production at Microsoft |
2022 |
SIGMOD |
6.9052796e-05 |
| 3,953 |
Tensors: An abstraction for general data processing |
2021 |
VLDB |
6.9027109e-05 |
| 4,480 |
GPU Database Systems Characterization and Optimization |
2024 |
VLDB |
6.5807917e-05 |
| 4,635 |
A Deep Dive into Common Open Formats for Analytical DBMSs |
2023 |
VLDB |
6.4932705e-05 |
| 5,110 |
Steering Query Optimizers: A Practical Take on Big Data Workloads |
2021 |
SIGMOD |
6.269351e-05 |
| 5,696 |
Debugging Big Data Analytics in Spark with BigDebug |
2017 |
SIGMOD |
6.033093e-05 |
| 5,773 |
Optimizing Data Pipelines for Machine Learning in Feature Stores |
2023 |
VLDB |
5.9987664e-05 |
| 5,776 |
The Tensor Data Platform: Towards an AI-centric Database System |
2023 |
CIDR |
5.9981216e-05 |
| 5,991 |
Terabyte-Scale Analytics in the Blink of an Eye |
2026 |
VLDB |
5.9247663e-05 |
| 7,806 |
Machine Learning for Cloud Data Systems: the Progress so far and the Path Forward |
2021 |
VLDB |
5.4500623e-05 |
| 7,868 |
WindTunnel: Towards Differentiable ML Pipelines Beyond a Single Model |
2022 |
VLDB |
5.4365239e-05 |
| 8,274 |
Scaling GPU-Accelerated Databases beyond GPU Memory Size |
2025 |
VLDB |
5.3642256e-05 |
| 8,352 |
Towards Building Autonomous Data Services on Azure |
2023 |
SIGMOD |
5.3488341e-05 |
| 9,358 |
Phoebe: A Learning-based Checkpoint Optimizer |
2021 |
VLDB |
5.1869771e-05 |
| 9,828 |
Transforming ML Predictive Pipelines into SQL with MASQ |
2021 |
SIGMOD |
5.1249969e-05 |
| 9,863 |
GPU Acceleration of SQL Analytics on Compressed Data |
2026 |
VLDB |
5.1176637e-05 |
| 10,020 |
Share the Tensor Tea: How Databases can Leverage the Machine Learning Ecosystem |
2022 |
VLDB |
5.0943606e-05 |
| 10,723 |
Scalable GPU Acceleration of Scalar Functions in Analytical Databases: Compilation, Benchmarking, and Optimization |
2026 |
VLDB |
4.9793485e-05 |
| 10,905 |
ZipFlow: a Compiler-based Framework to Unleash Compressed Data Movement for Modern GPUs |
2026 |
VLDB |
4.9793485e-05 |
| 10,923 |
TQP++: Bridging ML Compilers and Analytical Query Processing on GPUs |
2026 |
VLDB |
4.9793485e-05 |
Frequent Co-authors
Co-authored at least 5 papers.