Extending Relational Query Processing with ML Inference

Summary: Raven integrates ML runtimes (e.g., ONNX Runtime) natively into SQL Server and uses a unified IR to enable cross-optimizations between model inference and relational operators. Tight DB/compiler/ML co-optimization yields up to 5.5x native gains and up to 24x with cross-optimizations, enabling enterprise-grade in‑RDBMS scoring. (summarized by gpt-5-mini on Feb 09 2026)

Paper ID: 360
Venue: CIDR
Year: 2020
Pagerank: 8.0869552e-05
Overall Rank: 2,809 | 80.48%
DOI: -

Incoming Non-self Citations Over Time

Authors

Incoming Citations (Sorted by Pagerank)

Showing 27 of 27 citing papers.

Rank	Citing Paper	Year	Venue	Pagerank
2,175	tf.data: A Machine Learning Data Processing Framework	2021	VLDB	9.3745231e-05
2,456	Production Machine Learning Pipelines: Empirical Analysis and Optimization Opportunities	2021	SIGMOD	8.7649259e-05
3,260	Query Processing on Tensor Computation Runtimes	2022	VLDB	7.3091312e-05
3,409	End-to-end Optimization of Machine Learning Prediction Queries	2022	SIGMOD	7.1240791e-05
3,866	Cloudy with High Chance of DBMS: A 10-year Prediction for Enterprise-Grade ML	2020	CIDR	6.6795497e-05
4,601	Distributed Deep Learning on Data Systems: A Comparative Analysis of Approaches	2021	VLDB	6.05274e-05
4,700	Tensors: An abstraction for general data processing	2021	VLDB	5.9810592e-05
4,952	Designing an Open Framework for Query Optimization and Compilation	2022	VLDB	5.806142e-05
5,486	Containerized Execution of UDFs: An Experimental Evaluation	2022	VLDB	5.481452e-05
5,741	Babelfish: Efficient Execution of Polyglot Queries	2022	VLDB	5.3450701e-05
6,327	The Tensor Data Platform: Towards an AI-centric Database System	2023	CIDR	5.1035567e-05
6,377	Mitigating the Impedance Mismatch between Prediction Query Execution and Database Engine	2025	SIGMOD	5.0860948e-05
6,525	Database Technology for the Masses: Sub-Operators as First-Class Entities	2021	VLDB	5.0223854e-05
6,539	ConnectorX: Accelerating Data Loading From Databases to Dataframes	2022	VLDB	5.0168759e-05
6,863	Declarative Sub-Operators for Universal Data Processing	2023	VLDB	4.9003859e-05
7,055	Serving Deep Learning Models with Deduplication from Relational Databases	2022	VLDB	4.8428976e-05
8,057	Biathlon: Harnessing Model Resilience for Accelerating ML Inference Pipelines	2024	VLDB	4.5903427e-05
8,365	NeurDB: On the Design and Implementation of an AI-powered Autonomous Database	2025	CIDR	4.5305127e-05
8,580	Efficient Execution of User-Defined Functions in SQL Queries	2023	VLDB	4.4876382e-05
8,706	nsDB: Architecting the Next Generation Database by Integrating Neural and Symbolic Systems	2024	VLDB	4.4587004e-05
8,981	HADAD: A Lightweight Approach for Optimizing Hybrid Complex Analytics Queries	2021	SIGMOD	4.4138435e-05
9,311	On Efficient Approximate Queries over Machine Learning Models	2023	VLDB	4.3535588e-05
9,441	Transforming ML Predictive Pipelines into SQL with MASQ	2021	SIGMOD	4.3389137e-05
9,682	Lindorm TSDB: A Cloud-native Time-series Database for Large-scale Monitoring Systems	2023	VLDB	4.3006524e-05
10,130	MorphingDB: A Task-Centric AI-Native DBMS for Model Management and Inference	2026	SIGMOD	4.1905499e-05
10,721	Towards Designing Future-Proof Data Processing Systems	2025	VLDB	4.1905499e-05
11,215	Udon: Efficient Debugging of User-Defined Functions in Big Data Systems with Line-by-Line Control	2023	SIGMOD	4.1905499e-05

Outgoing Citations (Sorted by Pagerank)

Showing 8 of 8 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

Rank	Cited Paper	Year	Venue	Pagerank
139	The MADlib Analytics Library or MAD Skills, the SQL	2012	VLDB	0.00042320525
359	On the Power of Magic	1987	PODS	0.00025830228
557	SystemML: Declarative Machine Learning on Spark	2016	VLDB	0.00020186115
1,107	Froid: Optimization of Imperative Programs in a Relational Database	2018	VLDB	0.0001397627
2,355	An Intermediate Representation for Optimizing Machine Learning Pipelines	2019	VLDB	8.9727612e-05
3,333	A Demonstration of Willump: A Statistically-Aware End-to-end Optimizer for Machine Learning Inference	2020	VLDB	7.2064333e-05
3,866	Cloudy with High Chance of DBMS: A 10-year Prediction for Enterprise-Grade ML	2020	CIDR	6.6795497e-05
4,676	Automatically Leveraging MapReduce Frameworks for Data-Intensive Applications	2018	SIGMOD	5.9992323e-05

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