Showing 6 open source projects for "python-kinterbasdb"

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  • Teradata VantageCloud Enterprise is a data analytics platform for performing advanced analytics on AWS, Azure, and Google Cloud. Icon
    Teradata VantageCloud Enterprise is a data analytics platform for performing advanced analytics on AWS, Azure, and Google Cloud.

    Power faster innovation with Teradata VantageCloud

    VantageCloud is the complete cloud analytics and data platform, delivering harmonized data and Trusted AI for all. Built for performance, flexibility, and openness, VantageCloud enables organizations to unify diverse data sources, run complex analytics, and deploy AI models—all within a single, scalable platform.
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  • Next-generation security awareness training. Built for AI email phishing, vishing, smishing, and deepfakes. Icon
    Next-generation security awareness training. Built for AI email phishing, vishing, smishing, and deepfakes.

    Track your GenAI risk, run multichannel deepfake simulations, and engage employees with incredible security training.

    Assess how your company's digital footprint can be leveraged by cybercriminals. Identify the most at-risk individuals using thousands of public data points and take steps to proactively defend them.
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  • 1
    PyMongo

    PyMongo

    PyMongo - the Official MongoDB Python driver

    The PyMongo distribution contains tools for interacting with MongoDB database from Python. The bson package is an implementation of the BSON format for Python. The pymongo package is a native Python driver for MongoDB. The gridfs package is a gridfs implementation on top of pymongo.
    Downloads: 27 This Week
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  • 2
    MongoEngine

    MongoEngine

    A Python Object-Document-Mapper for working with MongoDB

    MongoEngine is a Python Object-Document Mapper for working with MongoDB.
    Downloads: 1 This Week
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  • 3
    ArcticDB

    ArcticDB

    ArcticDB is a high performance, serverless DataFrame database

    Built for the modern Python Data Science ecosystem, ArcticDB transforms your ability to handle complex real-world data with an Incredibly fast proven Petabyte scale. ArcticDB is designed with quant users in mind. It allows you to self-manage your data leveraging your preferred infrastructure. Giving you the keys to protect your most valuable asset. Supports large concurrent writes to many tables ensuring datasets can be onboarded fast and in the most convenient format.
    Downloads: 23 This Week
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  • 4
    Dokploy

    Dokploy

    Open Source Alternative to Vercel, Netlify and Heroku

    Streamline your operations with our all-in-one platform, perfect for managing projects, data, and system health with simplicity and efficiency. Simplify your project and data management, ensure robust monitoring, and secure your backups—all without the fuss over minute details. Elevate your infrastructure with tools that offer precise control, detailed monitoring, and enhanced security, ensuring seamless management and robust performance. Streamline your deployments with our PaaS....
    Downloads: 4 This Week
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  • A privacy-first API that predicts global consumer preferences Icon
    A privacy-first API that predicts global consumer preferences

    Qloo AI adds value to a wide range of Fortune 500 companies in the media, technology, CPG, hospitality, and automotive sectors.

    Through our API, we provide contextualized personalization and insights based on a deep understanding of consumer behavior and more than 575 million people, places, and things.
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  • 5
    Resources

    Resources

    Relative Examples and Resources of iBoxDB, etc...

    IOs, Graph Database Wrapper and more examples for iBoxDB Download Mirrors https://sourceforge.net/settings/mirror_choices?projectname=application-database&filename=iboxdb411.zip&selected=pilotfiber
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    Downloads: 5 This Week
    Last Update:
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  • 6
    Cosmos DB Spark

    Cosmos DB Spark

    Apache Spark Connector for Azure Cosmos DB

    Azure Cosmos DB Spark is the official connector for Azure CosmosDB and Apache Spark. The connector allows you to easily read to and write from Azure Cosmos DB via Apache Spark DataFrames in Python and Scala. It also allows you to easily create a lambda architecture for batch-processing, stream-processing, and a serving layer while being globally replicated and minimizing the latency involved in working with big data.
    Downloads: 0 This Week
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