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Top 9 Databases in Data Science Tools

The best Databases within the Data Science Tools category - based on our collection of reviews & verified products.

Pandas Microsoft Azure SQL Database Milvus CrateIO Dask AWS Data Wrangler SQL Notebook PySpark Seaborn

Summary

The top products on this list are Pandas, Microsoft Azure SQL Database, and Milvus. All products here are categorized as: Software for creating, managing, and manipulating databases. Tools and platforms for data analysis and scientific computation. One of the criteria for ordering this list is the number of mentions that products have on reliable external sources. You can suggest additional sources through the form here.
  1. 1
    Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.
    Pricing:
    • Open Source

    #Data Science And Machine Learning #Data Science Tools #Python Tools 201 social mentions

  2. Azure SQL Database lets you create, extend and scale relational applications into the cloud.

    #Databases #Relational Databases #NoSQL Databases 2 social mentions

  3. 3
    Vector database built for scalable similarity search Open-source, highly scalable, and blazing fast.
    Pricing:
    • Open Source
    • Free

    #Vector Databases #Retrieval Augmented Generation #Search Engine 34 social mentions

  4. The Distributed Database for Docker

    #Databases #Relational Databases #NoSQL Databases 12 social mentions

  5. 5
    Dask natively scales Python Dask provides advanced parallelism for analytics, enabling performance at scale for the tools you love
    Pricing:
    • Open Source

    #Workflows #Databases #Software Development 16 social mentions

  6. Pandas on AWS. Contribute to awslabs/aws-data-wrangler development by creating an account on GitHub.

    #Data Science And Machine Learning #Databases #Data Science Tools 4 social mentions

  7. SQL Notebook is a free Windows app for exploring and manipulating tabular data.

    #Data Science Notebooks #Databases #Database Management

  8. PySpark Tutorial - Apache Spark is written in Scala programming language. To support Python with Spark, Apache Spark community released a tool, PySpark. Using PySpark, you can wor

    #Project Management #No Code #Databases

  9. Seaborn is a Python data visualization library that uses Matplotlib to make statistical graphics.
    Pricing:
    • Open Source

    #Development #Data Science And Machine Learning #Technical Computing 33 social mentions

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