List of the Top 3 Big Data Platforms for Google Cloud Data Catalog in 2025

Reviews and comparisons of the top Big Data platforms with a Google Cloud Data Catalog integration


Below is a list of Big Data platforms that integrates with Google Cloud Data Catalog. Use the filters above to refine your search for Big Data platforms that is compatible with Google Cloud Data Catalog. The list below displays Big Data platforms products that have a native integration with Google Cloud Data Catalog.
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    Google Cloud BigQuery Reviews & Ratings

    Google Cloud BigQuery

    Google

    Unlock insights effortlessly with powerful, AI-driven analytics solutions.
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    BigQuery is engineered for the management and analysis of large-scale data, positioning it as an optimal solution for enterprises dealing with extensive datasets. Whether you’re working with gigabytes or petabytes of information, BigQuery offers automatic scaling and high-performance query execution, ensuring exceptional efficiency. This platform enables organizations to conduct data analysis at remarkable speeds, allowing them to maintain a competitive edge in rapidly evolving sectors. New users can take advantage of $300 in complimentary credits to test out BigQuery's extensive data processing features, gaining hands-on experience with large data management and analysis. Its serverless design removes the hassle of scaling concerns, simplifying the task of handling big data significantly.
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    Google Cloud Platform Reviews & Ratings

    Google Cloud Platform

    Google

    Empower your business with scalable, secure cloud solutions.
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    Google Cloud Platform (GCP) stands out in its ability to handle and analyze large-scale data through its advanced tools, such as BigQuery, which serves as a serverless data warehouse enabling rapid querying and analysis. Additional services like Dataflow, Dataproc, and Pub/Sub empower organizations to efficiently manage and analyze extensive datasets. New customers are welcomed with $300 in complimentary credits, allowing them to experiment, test, and implement workloads without immediate financial pressure, thereby speeding up their journey toward data-driven discoveries and innovations. With its robust and scalable infrastructure, GCP allows businesses to swiftly process vast amounts of data, ranging from terabytes to petabytes, all while keeping costs significantly lower than traditional data solutions. Furthermore, GCP's big data offerings are designed to seamlessly integrate with machine learning tools, providing a well-rounded ecosystem for data scientists and analysts to extract meaningful insights.
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    Teradata VantageCloud Reviews & Ratings

    Teradata VantageCloud

    Teradata

    Unlock data potential with speed, scalability, and flexibility.
    Teradata VantageCloud delivers a powerful fusion of cloud-native analytics, enterprise-class scalability, and advanced AI/ML capabilities, making it a trusted choice for large organizations managing complex data ecosystems. It empowers teams to unify siloed data assets across platforms, extract insights at speed, and operationalize AI at scale. Its architecture supports real-time data streaming, GPU-powered analytics, and open ecosystem compatibility—including integration with Apache Iceberg and the top three cloud platforms—for maximum flexibility. VantageCloud also includes smart governance tools, advanced cost transparency, and fine-grained access controls to help IT leaders maintain security and optimize resource use. With VantageCloud, organizations are better equipped to innovate rapidly, respond to shifting market demands, and future-proof their data strategies.
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