Best OLAP Databases for Google Cloud Datastream

Find and compare the best OLAP Databases for Google Cloud Datastream in 2025

Use the comparison tool below to compare the top OLAP Databases for Google Cloud Datastream on the market. You can filter results by user reviews, pricing, features, platform, region, support options, integrations, and more.

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    Google Cloud BigQuery Reviews

    Google Cloud BigQuery

    Google

    Free ($300 in free credits)
    1,731 Ratings
    See Software
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    BigQuery is specifically designed for Online Analytical Processing (OLAP), enabling rapid querying and analysis of multidimensional data sets. This platform empowers organizations to execute intricate analytical queries on vast amounts of data, facilitating comprehensive analysis across different business aspects. With its automatic scaling capabilities, BigQuery efficiently manages even the most demanding OLAP workloads. First-time users can benefit from $300 in complimentary credits to discover how BigQuery can optimize OLAP operations, enhancing both the speed and precision of their business intelligence efforts. Additionally, its serverless framework allows companies to prioritize their data management without the burden of infrastructure maintenance.
  • 2
    AlloyDB Reviews
    AlloyDB is a fully managed database service that is compatible with PostgreSQL, designed to meet the needs of the most demanding enterprise workloads. By merging Google's advancements with PostgreSQL, AlloyDB offers enhanced performance, scalability, and reliability. It ensures complete compatibility with PostgreSQL, allowing for both flexibility and genuine workload portability. For transactional workloads, its performance is up to four times faster than standard PostgreSQL, while it provides real-time analytical insights that are up to 100 times quicker. Additionally, AlloyDB AI supports the development of various generative AI applications. For versatile deployment, AlloyDB Omni is available as a downloadable version that can function in any environment. You can easily scale your resources and enjoy predictable performance, backed by a high availability service level agreement of 99.99%, which includes maintenance for the most intense enterprise demands. The automated systems, enhanced with machine learning capabilities, streamline management tasks such as database patching, backups, scaling, and replication, freeing users to focus on other priorities and innovations. This comprehensive approach makes AlloyDB a robust choice for organizations looking to optimize their database solutions.
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