--- description: Learn more about BigQuery. We provide Australian business users the most detailed information on pricing, benefits, and disadvantages of software that will make your choice easier. image: https://gdm-localsites-assets-gfprod.imgix.net/images/getapp/og_logo-94fd2a03a6c7a0e54fc0c9e21a1c0ce9.png title: BigQuery Reviews, Cost & Features | GetApp Australia 2026 --- Breadcrumb: [Home](/) > [Marketing Analytics Software](/directory/602/marketing-analytics/software) > [BigQuery](/software/2057619/google-cloud-bigquery) # BigQuery Canonical: https://www.getapp.com.au/software/2057619/google-cloud-bigquery Page: 1 / 3\ Next: [Next page](https://www.getapp.com.au/software/2057619/google-cloud-bigquery?page=2) > BigQuery is an autonomous data and AI platform that automates the entire data lifecycle from ingestion to insights. The platform features built-in predictive analytics, AI inferencing capabilities, and support for machine learning model training using SQL. It includes AI-powered agents for data engineering, data science, and conversational analytics workflows. > > Verdict: Rated **4.6/5** by 36 users. Top-rated for **Likelihood to recommend**. ----- ## Overview ### Key benefits of BigQuery Automates the entire data life cycle, streamlining processes from data ingestion to AI-driven insights and action Integrates predictive analytics and generative AI directly within the platform, enabling advanced modeling, text analysis, and data enrichment using familiar tools Supports natural language queries and conversational analytics, making complex data exploration accessible to all data users Handles structured and unstructured data, including images, audio, and documents, with built-in AI functions for deeper semantic understanding Delivers real-time analytics and event-driven insights through high-throughput streaming and continuous queries, supporting agile decision-making ## Quick Stats & Ratings | Metric | Rating | Detail | | **Overall** | **4.6/5** | 36 Reviews | | Ease of Use | 4.4/5 | Based on overall reviews | | Customer Support | 3.9/5 | Based on overall reviews | | Value for Money | 4.2/5 | Based on overall reviews | | Features | 4.6/5 | Based on overall reviews | | Recommendation percentage | 90% | (9/10 Likelihood to recommend) | ## About the vendor - **Company**: Google ## Commercial Context - **Starting Price**: USD 0.01 - **Pricing model**: Flat Rate (Free version available) (Free Trial) - **Pricing Details**: Free Trial: New customers get $300 in free credits to spend on BigQuery during the first 90 days. Free Usage per Month: All customers get 10 GB storage and up to 1 TB queries free per month, not charged against their credits. General Pricing: BigQuery charges for data storage, streaming inserts, and querying data, but loading and exporting data are free of charge. • Storage: $0.02 per GB, per month and $0.01 per GB, per month for long-term storage • Streaming inserts: $0.01 per 200 MB - **Target Audience**: Self Employed, 2–10, 11–50, 51–200, 201–500, 501–1,000, 1,001–5,000, 5,001–10,000, 10,000+ - **Deployment & Platforms**: Cloud, SaaS, Web-based - **Supported Languages**: Brazilian Portuguese, Chinese, English, French, German, Indonesian, Italian, Japanese, Korean, Portuguese, Spanish - **Available Countries**: Afghanistan, Albania, Algeria, American Samoa, Andorra, Angola, Anguilla, Antigua and Barbuda, Argentina, Armenia, Aruba, Australia, Austria, Azerbaijan, Bahamas, Bahrain, Bangladesh, Barbados, Belarus, Belgium and 208 more ## Features - AI/Machine Learning - Access Controls/Permissions - Ad hoc Analysis - Ad hoc Query - Ad hoc Reporting - Auto Extraction - Batch Processing - Charting - Collaboration Tools - Configurable Workflow - Configuration Management - Customizable Templates - Dashboard Creation - Data Aggregation and Publishing - Data Classification - Data Cleansing - Data Clustering - Data Connectors - Data Discovery - Data Import/Export ## Integrations (47 total) - Airbyte - Built - Built - Context - Continuous - Conversa - Conversa - DTS - Data - Dataflo - Engine - Frame - Frame - Frame - Gemini Enterprise ... and 32 more integrations ## Support Options - Email/Help Desk - FAQs/Forum - Knowledge Base - Phone Support - Chat ## Category - [Marketing Analytics Software](https://www.getapp.com.au/directory/602/marketing-analytics/software) ## Related Categories - [Marketing Analytics Software](https://www.getapp.com.au/directory/602/marketing-analytics/software) - [ETL Tools](https://www.getapp.com.au/directory/1303/etl/software) - [Database Software](https://www.getapp.com.au/directory/459/database/software) - [Business Intelligence (BI) Tools](https://www.getapp.com.au/directory/318/business-intelligence/software) - [Predictive Analytics Software](https://www.getapp.com.au/directory/628/predictive-analytics/software) ## Alternatives 1. [Snowflake](https://www.getapp.com.au/software/2045875/snowflake) — 4.7/5 (97 reviews) 2. [Google Cloud](https://www.getapp.com.au/software/122483/google-cloud-platform) — 4.7/5 (2306 reviews) 3. [Domo](https://www.getapp.com.au/software/91408/domo) — 4.3/5 (331 reviews) 4. [Oracle Database](https://www.getapp.com.au/software/2053918/oracle-database) — 4.6/5 (473 reviews) 5. [WhereScape RED](https://www.getapp.com.au/software/2079265/wherescape-red) — 4.1/5 (27 reviews) ## Reviews ### "GBQ is an analysts best friend" — 5.0/5 > **Bryan** | *7 September 2024* | Marketing & Advertising | Recommendation rating: 10.0/10 > > **Pros**: Literally everything. GBQ takes tasks like partitioning, building feeds from/to other systems simple, fine-grain access controls, plugs into Looker like a dream, built in connectors for other Google products (Search console, GA) > > **Cons**: The permission-ing for GBQ can sometimes be vague depending on what the user is needing/wanting to do. Some roles require items that you think would be included in higher access level roles (I'm looking at you BigQuery Job User role). > > GBQ powers a lot of our analysis tooling and reps use it directly with Python to make their own custom flows. ----- ### "BigQuery for a Data Engineer" — 5.0/5 > **Luis** | *27 September 2022* | Education Management | Recommendation rating: 10.0/10 > > **Pros**: For someone like me who works on the complete cycle of the data, it turns out to be a very good tool, since it allows us to do the complete cycle, from the initial step that is to put together a good ETL, clean our data, and be able to present it in a dashboard > > **Cons**: once the table is created it is difficult to edit the columns, so you have to delete it when you use the data stream, your data is in a cache, and you can't manipulate it until a couple of hours have passed > > for 3 months our mobile applications stopped saving certain data, thanks to its integration with firebase, we were able to recover that data by querying its partitioned tables, and we were able to restore that data with its integration with python We have also built a dashboard where we make a conciliation of our clients' data, in case something goes wrong, we immediately realize what is happening ----- ### "BigQuery is Great for Lots of Data" — 5.0/5 > **Samuel** | *17 May 2023* | Telecommunications | Recommendation rating: 7.0/10 > > **Pros**: BigQuery is great at working with lots of data at a good price, especially when used with other Google Cloud tools > > **Cons**: It can get messy when you're working with many different data sets at once, and changing existing data columns is hard. > > Using BigQuery was a learning curve, it's great for analyzing data but not like my favorite relational database, Postgres, for everyday tasks. ----- ### "Superb, Scalable Technology" — 5.0/5 > **John** | *8 June 2023* | Music | Recommendation rating: 9.0/10 > > **Pros**: BigQuery is powerful, easy to set up and use, and wonderfully transparent about costs. I also prefer its mechanisms for dataset partitioning over, e.g., Snowflake's. > > **Cons**: The BigQuery UI is not great. Saved queries are messy, and scheduled queries are very difficult to maintain (to the point that they probably should not be used at all). > > I really love BigQuery especially insofar as it fits within a GCP environment. It is incredibly powerful and, given some governance, not very expensive at all. I find it cheaper and slightly easier to manage than Snowflake, though both products are incredible to use. ----- ### ""Google Cloud BigQuery: The Ultimate Solution for Big Data Management and Analysis"" — 5.0/5 > **Rishikumar** | *19 January 2023* | Computer Software | Recommendation rating: 10.0/10 > > **Pros**: Google Cloud BigQuery is a powerful and user-friendly software for data warehousing and analytics. It can easily handle extremely large datasets, making it perfect for businesses that process and analyze massive amounts of data. The queries are executed quickly, even on large datasets, allowing for efficient data analysis and insights. The user interface is intuitive and easy to navigate, making it accessible for users of all skill levels. It integrates seamlessly with other Google Cloud products, such as Google Analytics and Google Cloud Storage, which allows for a streamlined workflow. The pricing is pay-per-use and the cost is generally lower for larger amounts of data, which makes it cost-effective. Additionally, it offers high performance, flexibility, and strong security features. > > **Cons**: Google Cloud BigQuery is a great tool for data warehousing and analytics. One thing to keep in mind is that it can have a steep learning curve for those who are not familiar with SQL and data warehousing concepts. Additionally, it may not be as customizable as some other data warehousing and analytics tools. But overall, it offers a wide range of functionalities and a user-friendly interface, making it a great option for many use cases. I've found it to be a reliable and efficient tool for processing and analyzing large datasets. > > My experience using Google Cloud BigQuery has been very good. It is a strong software for data warehousing and analytics, capable of handling large datasets efficiently. Navigation and execution of queries are fast and user-friendly. The pay-per-use pricing model is cost-effective and it offers robust features such as high performance, flexibility, and security. It is an ideal choice for companies that want to extract valuable insights from big data. ----- Page: 1 / 3\ Next: [Next page](https://www.getapp.com.au/software/2057619/google-cloud-bigquery?page=2) ## Links - [View on GetApp](https://www.getapp.com.au/software/2057619/google-cloud-bigquery) ## This page is available in the following languages | Locale | URL | | de | | | de-AT | | | en | | | en-AE | | | en-AU | | | en-CA | | | en-GB | | | en-IE | | | en-NZ | | | en-SG | | | en-ZA | | | es | | | es-CL | | | es-CO | | | es-MX | | | fr | | | fr-BE | | | fr-CA | | | pt | | | pt-PT | | ----- ## Structured Data