Google Cloud BigQuery Description
ANSI SQL allows you to analyze petabytes worth of data at lightning-fast speeds with no operational overhead. Analytics at scale with 26%-34% less three-year TCO than cloud-based data warehouse alternatives. You can unleash your insights with a trusted platform that is more secure and scales with you. Multi-cloud analytics solutions that allow you to gain insights from all types of data. You can query streaming data in real-time and get the most current information about all your business processes. Machine learning is built-in and allows you to predict business outcomes quickly without having to move data. With just a few clicks, you can securely access and share the analytical insights within your organization. Easy creation of stunning dashboards and reports using popular business intelligence tools right out of the box. BigQuery's strong security, governance, and reliability controls ensure high availability and a 99.9% uptime SLA. Encrypt your data by default and with customer-managed encryption keys
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Pricing
10 GB storage
Up to 1 TB queries
Integrations
Company Details
Product Details
Google Cloud BigQuery Features and Options
Data Warehouse Software
Big Data Software
Marketing Analytics Software
Predictive Analytics Software
Machine Learning Software
ETL Software
Google Cloud BigQuery User Reviews
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BigQuery Review Date: Jan 23 2024
Summary: Overall, BigQuery is an exceptional tool in the realm of big data analytics. Its remarkable processing speed, scalability, and user-friendly nature make it an invaluable asset for businesses seeking to derive actionable insights from their data. The aspects that could be seen as limitations are, in many ways, opportunities for developing efficient data practices and deeper understanding of data analytics. For any organization in need of a powerful, scalable, and efficient data warehouse solution, BigQuery undoubtedly merits a five-star rating.
Positive: BigQuery, as Google's fully-managed, serverless data warehouse, has been a standout solution in the world of large-scale data analysis. Its most striking feature is the impressive speed with which it processes vast datasets. Leveraging the power of Google's advanced cloud infrastructure, BigQuery offers near real-time execution of complex SQL queries, a boon for businesses and analysts dealing with big data. The scalability of BigQuery is another significant advantage. It adeptly adjusts to varying data volumes without necessitating active management of the underlying infrastructure. This feature is particularly valuable for businesses experiencing variable data loads. Additionally, its user-friendly interface, coupled with seamless integration with other Google Cloud services, simplifies the data management process, making it accessible to a wide range of users.
Negative: While BigQuery is a robust platform, it comes with a few considerations that require attention. The pricing model, which is based on the volume of data processed, necessitates careful query planning to avoid unforeseen expenses. This aspect, however, also encourages efficient query design, which is a good practice in data management. While there is a learning curve, particularly for its more advanced features, the initial investment in learning pays off in terms of the powerful capabilities it unlocks. As for reliance on a single cloud provider, while this might be a consideration for some, Google's extensive support and the platform's integration capabilities often make this a non-issue for most users.
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Likelihood to Recommend to Others1 2 3 4 5 6 7 8 9 10
Summary: For businesses of all sizes, Google Cloud BigQuery provides a robust and scalable data analytics solution. It is the perfect option for contemporary data analytics because of its serverless design, SQL-like query language, real-time capabilities, and interaction with the Google Cloud ecosystem.
Positive: A very scalable serverless data warehouse is Google Cloud BigQuery. Large datasets are handled by it automatically, guaranteeing excellent performance without the need for user involvement.
Negative: While the basics are user-friendly, optimizing queries for optimal efficiency may involve a learning curve. To improve their inquiries and cut expenses, users would need to spend some time learning best practices.
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Likelihood to Recommend to Others1 2 3 4 5 6 7 8 9 10
Summary: Google BigQuery offers a unique scalable & cost effective cloud data warehouse optimized for big data. Excellent complement if you have large analytics workloads on GCP
Positive: It scales to handle massive datasets with petabyte scale query processing. Fast performance with results in seconds regardless of data size. Intuitive SQL interface familiar for analysts.
Negative: Being Serverless, lacks ability to persist data long term. Limited user level security, access control & governance features. Not ideal for small datasets or repetitive queries.
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