Alternatives and similar repositories for SimplicityDoneRight:

Users that are interested in SimplicityDoneRight are comparing it to the libraries listed below

• waltercai / pqo-opensource
  ☆24Updated 3 years ago
• illinoisdata / quicksel
  Source code for QuickSel (SIGMOD 2020)
  ☆19Updated 4 years ago
• Blondig / Lero-on-PostgreSQL
  ☆29Updated last year
• learnedsystems / CEB
  Cardinality Estimation Benchmark
  ☆78Updated last year
• yunjiazhang / adaptiveness_vs_learning
  ☆11Updated 7 months ago
• Jamesyang2333 / SAM
  A learning-based method for high-fidelity database generation.
  ☆15Updated 2 years ago
• microsoft / dsb
  The DSB benchmark is designed for evaluating both workloaddriven and traditional database systems on modern decision support workloads. D…
  ☆53Updated 6 months ago
• TianyiChen0316 / LOGER
  ☆21Updated 2 years ago
• parimarjan / learned-cardinalities
  learned cardinalities for databases
  ☆15Updated 2 years ago
• rabbit721 / QPPNet
  ☆37Updated last year
• danolivo / jo-bench
  Join Order Benchmark (implicit fork of https://github.com/gregrahn/join-order-benchmark)
  ☆18Updated 3 months ago
• JC-Shi / Learned-Index-Benefits
  ☆18Updated 3 years ago
• pagegitss / UAE
  A Unified Deep Model of Learning from both Data and Queries for Cardinality Estimation
  ☆28Updated 3 years ago
• HustAIsGroup / AlphaJoin
  AlphaJoin: Join Order Selection à la AlphaG
  ☆16Updated 5 years ago
• wuziniu / FactorJoin
  A new cardinality estimation scheme for join query estimation
  ☆37Updated 5 months ago
• edualc / lqo_ml_perspective
  This repository includes the code base used in the paper "Is Your Learned Query Optimizer Behaving As You Expect? A Machine Learning Pers…
  ☆14Updated last year
• antonismand / ReJOIN
  Join ordering optimization using Deep Reinforcement Learning
  ☆43Updated 4 years ago
• postechdblab / learned-cardinality-estimation
  ☆20Updated 3 years ago
• winkyao / join-order-benchmark
  ☆10Updated 2 years ago
• DataManagementLab / zero-shot-cost-estimation
  Implementation of our VLDB'22 paper "Zero-Shot Cost Models for Out-of-the-box Learned Cost Prediction"
  ☆41Updated 2 years ago
• Nathaniel-Han / End-to-End-CardEst-Benchmark
  A new CardEst Benchmark to Bridge AI and DBMS
  ☆122Updated 2 years ago
• andreaskipf / learnedcardinalities
  Code and workloads from the Learned Cardinalities paper (https://arxiv.org/abs/1809.00677)
  ☆121Updated 6 years ago
• alexandervanrenen / cab
  A benchmark for serverless analytic databases.
  ☆21Updated 7 months ago
• DataManagementLab / lcm-eval
  This is the source code of the SIGMOD paper: "How Good are Learned Cost Models, Really? Insights From Query Optimization Tasks"
  ☆11Updated 3 months ago
• wuziniu / FSPN
  Factorize Sum Product Network
  ☆27Updated 2 years ago
• neurocard / neurocard
  State-of-the-art neural cardinality estimators for join queries
  ☆77Updated 4 years ago
• zhaoyue-ntu / qp_evaluation
  Query Plan Evaluation
  ☆14Updated last year
• RyanMarcus / TreeConvolution
  PyTorch implementation of binary tree convolution
  ☆49Updated 5 years ago
• ldbc / dbgen.JCC-H
  ☆16Updated last year
• DataManagementLab / deepdb-public
  Implementation of DeepDB: Learn from Data, not from Queries!
  ☆99Updated 2 years ago