Alternatives and similar repositories for DBEstClient

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

• DataManagementLab / deepdb-public
  Implementation of DeepDB: Learn from Data, not from Queries!
  ☆102Updated 2 years ago
• neurocard / neurocard
  State-of-the-art neural cardinality estimators for join queries
  ☆78Updated 4 years ago
• learnedsystems / BaoForPostgreSQL
  A prototype implementation of Bao for PostgreSQL
  ☆204Updated 10 months ago
• Nathaniel-Han / End-to-End-CardEst-Benchmark
  A new CardEst Benchmark to Bridge AI and DBMS
  ☆126Updated 2 years ago
• andreaskipf / learnedcardinalities
  Code and workloads from the Learned Cardinalities paper (https://arxiv.org/abs/1809.00677)
  ☆124Updated 6 years ago
• sfu-db / AreCELearnedYet
  ☆72Updated 2 years ago
• naru-project / naru
  Neural Relation Understanding: neural cardinality estimators for tabular data
  ☆104Updated 4 years ago
• XuanheZhou / LearnedRewrite
  An online logical query rewrite demo (schema+sql only)!
  ☆39Updated 2 years ago
• IDEBench / IDEBench-public
  ☆23Updated 5 years ago
• cornelldbgroup / skinnerdb
  SkinnerDB is an analytical database management system. It uses adaptive processing and reinforcement learning to find near-optimal join o…
  ☆49Updated last year
• RyanMarcus / imdb_pg_dataset
  A Vagrant box that automatically loads the IMDB dataset into Postgres
  ☆74Updated last year
• greatji / Learning-based-cost-estimator
  ☆61Updated 4 years ago
• waltercai / pqo-opensource
  ☆25Updated 4 years ago
• IntelLabs / Auto-Steer
  Auto-Steer
  ☆48Updated 8 months ago
• Jamesyang2333 / SAM
  A learning-based method for high-fidelity database generation.
  ☆16Updated 2 years ago
• balsa-project / balsa
  Balsa is a learned SQL query optimizer. It tailor optimizes your SQL queries to find the best execution plans for your hardware and engin…
  ☆141Updated 3 years ago
• hyrise / index_selection_evaluation
  Platform to evaluate index selection algorithms
  ☆88Updated last year
• shoupzwu / UAE
  A Unified Deep Model of Learning from both Data and Queries for Cardinality Estimation
  ☆28Updated 3 years ago
• illinoisdata / quicksel
  Source code for QuickSel (SIGMOD 2020)
  ☆19Updated 3 weeks ago
• wuziniu / FSPN
  Factorize Sum Product Network
  ☆30Updated 2 years 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"
  ☆22Updated last month
• learnedsystems / CEB
  Cardinality Estimation Benchmark
  ☆79Updated last year
• Data-Science-Platform / tpch-pgsql
  Implements the [TPCH benchmark](http://www.tpc.org/tpch/) for Postgres
  ☆29Updated 3 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"
  ☆47Updated 2 years ago
• for0nething / FACE-A-Normalizing-Flow-based-Cardinality-Estimator
  A pytorch implementation for FACE: A Normalizing Flow based Cardinality Estimator
  ☆24Updated last year
• itrummer / dbbert
  DB-BERT tunes database systems for optimal performance, using tuning hints mined from text.
  ☆61Updated last year
• zhaoyue-ntu / QueryFormer
  ☆53Updated last year
• gregrahn / join-order-benchmark
  Join Order Benchmark (JOB)
  ☆326Updated 5 months ago
• parimarjan / db-embedding-tools
  blah
  ☆35Updated 6 years ago
• microsoft / dsb
  The DSB benchmark is designed for evaluating both workloaddriven and traditional database systems on modern decision support workloads. D…
  ☆62Updated 9 months ago