SuperDuperDB

What is SuperDuperDB?

Build AI applications easily without needing to move your data to complex pipelines and specialized vector databases. Integrate AI and vector search directly with your database including real-time inference and model training. Just using Python!

Added on November 15 2023

Belongs to Website. Over 15.5K monthly visits.

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Website Traffic

Last Month's Visits:
15.5K (5.1K)
Last 3 Month's Visits:
43.5K (-20.7K)
Last 6 Month's Visits:
99.3K (6.1K)
Total Visitors
Visitors Growth

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How to install?

How to use SuperDuperDB?

SuperDuperDB allows you to bring AI to your favorite database by integrating and training AI directly with your preferred database using Python.

SuperDuperDB's Core Features

Build AI applications on top of your datastore
Turn your existing database into a fully-functional vector database
Work with any ML/AI frameworks and APIs

SuperDuperDB's Use Cases

#1 Deploy all your AI models to automatically compute outputs (inference) in your datastore
#2 Train models on your data in your datastore simply by querying without additional ingestion and pre-processing
#3 Integrate AI APIs to work together with other models on your data effortlessly
#4 Search your data with vector-search, including model management and serving

SuperDuperDB Traffic

Visit Over Time

Monthly Visits
15.5K
Avg.Visit Duration
00:01:39
Page per Visit
0.55
Bounce Rate
35.35%
Aug 2023 - Mar 2024 All Traffic

Geography

Top 5 Regions

Turkey
7.62%
Colombia
6.56%
Vietnam
5.04%
Russia
4.73%
Taiwan
4.65%
Aug 2023 - Mar 2024 Desktop Only

Traffic Sources

Direct
68.31%
Search
20.06%
Social
11.63%
Mail
0.00%
Referrals
0.00%
Display Ads
0.00%
Aug 2023 - Mar 2024 Worldwide Desktop Only

FAQ from SuperDuperDB

What can I do with SuperDuperDB?
Which databases are supported by SuperDuperDB?
Can I train and fine-tune models using SuperDuperDB?
Can I integrate AI APIs with SuperDuperDB?
What ML/AI frameworks are supported by SuperDuperDB?
Is SuperDuperDB suitable for Full Stack Developers?
Is SuperDuperDB suitable for Data Scientists?
Is SuperDuperDB suitable for ML Engineers?