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Matteo Interlandi
- Author ID
- u1534
- ORCID
-
-
- Links
-
(found by gpt-5.6-luna on jul 24 2026)
- Most Frequent Institution
- Microsoft
- Pagerank
- 0.21579196
- Overall Rank
- 261 | 98.80%
- 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 all 27 publications. Total citations include self and non-self citations.
| Rank |
Title |
Year |
Venue |
Total Citations |
Pagerank |
| 1,562 |
Titian: Data Provenance Support in Spark |
2016 |
VLDB |
23 |
0.00010192248 |
| 1,895 |
QUEST: A Keyword Search System for Relational Data based on Semantic and Machine Learning Techniques |
2013 |
VLDB |
6 |
9.4039774e-05 |
| 2,199 |
Extending Relational Query Processing with ML Inference |
2020 |
CIDR |
31 |
8.8664379e-05 |
| 2,464 |
Query Processing on Tensor Computation Runtimes |
2022 |
VLDB |
32 |
8.4081954e-05 |
| 2,644 |
Big Data Analytics with Datalog Queries on Spark |
2016 |
SIGMOD |
23 |
8.1655777e-05 |
| 2,672 |
End-to-end Optimization of Machine Learning Prediction Queries |
2022 |
SIGMOD |
25 |
8.1301225e-05 |
| 3,691 |
Cloudy with High Chance of DBMS: A 10-year Prediction for Enterprise-Grade ML |
2020 |
CIDR |
17 |
7.0771037e-05 |
| 3,951 |
Deploying a Steered Query Optimizer in Production at Microsoft |
2022 |
SIGMOD |
16 |
6.8884038e-05 |
| 3,969 |
Tensors: An abstraction for general data processing |
2021 |
VLDB |
20 |
6.8769925e-05 |
| 4,164 |
GPU Database Systems Characterization and Optimization |
2024 |
VLDB |
21 |
6.7560016e-05 |
| 4,373 |
A Deep Dive into Common Open Formats for Analytical DBMSs |
2023 |
VLDB |
14 |
6.6191786e-05 |
| 5,126 |
Steering Query Optimizers: A Practical Take on Big Data Workloads |
2021 |
SIGMOD |
22 |
6.2493606e-05 |
| 5,710 |
Debugging Big Data Analytics in Spark with BigDebug |
2017 |
SIGMOD |
3 |
6.0102973e-05 |
| 5,793 |
Optimizing Data Pipelines for Machine Learning in Feature Stores |
2023 |
VLDB |
4 |
5.9761004e-05 |
| 5,795 |
The Tensor Data Platform: Towards an AI-centric Database System |
2023 |
CIDR |
10 |
5.9755414e-05 |
| 6,003 |
Terabyte-Scale Analytics in the Blink of an Eye |
2026 |
VLDB |
7 |
5.9023799e-05 |
| 7,227 |
WindTunnel: Towards Differentiable ML Pipelines Beyond a Single Model |
2022 |
VLDB |
5 |
5.5647576e-05 |
| 7,830 |
Machine Learning for Cloud Data Systems: the Progress so far and the Path Forward |
2021 |
VLDB |
3 |
5.4294933e-05 |
| 8,007 |
Scaling GPU-Accelerated Databases beyond GPU Memory Size |
2025 |
VLDB |
9 |
5.3916546e-05 |
| 8,372 |
Towards Building Autonomous Data Services on Azure |
2023 |
SIGMOD |
7 |
5.3287108e-05 |
| 9,394 |
Phoebe: A Learning-based Checkpoint Optimizer |
2021 |
VLDB |
8 |
5.1676892e-05 |
| 9,868 |
Transforming ML Predictive Pipelines into SQL with MASQ |
2021 |
SIGMOD |
3 |
5.1056602e-05 |
| 9,905 |
GPU Acceleration of SQL Analytics on Compressed Data |
2026 |
VLDB |
2 |
5.0983269e-05 |
| 10,063 |
Share the Tensor Tea: How Databases can Leverage the Machine Learning Ecosystem |
2022 |
VLDB |
10 |
5.0751118e-05 |
| 10,794 |
Scalable GPU Acceleration of Scalar Functions in Analytical Databases: Compilation, Benchmarking, and Optimization |
2026 |
VLDB |
0 |
4.9605343e-05 |
| 10,975 |
ZipFlow: a Compiler-based Framework to Unleash Compressed Data Movement for Modern GPUs |
2026 |
VLDB |
1 |
4.9605343e-05 |
| 10,993 |
TQP++: Bridging ML Compilers and Analytical Query Processing on GPUs |
2026 |
VLDB |
0 |
4.9605343e-05 |
Frequent Co-authors
Co-authored at least 5 papers.