--- description: Learn how Google Cloud BigQuery can help your business. GetApp provides users in South Africa with the most detailed information on software tools, prices and features. image: https://gdm-localsites-assets-gfprod.imgix.net/images/getapp/og_logo-94fd2a03a6c7a0e54fc0c9e21a1c0ce9.png title: Google Cloud BigQuery Reviews, Prices & Ratings | GetApp South Africa 2026 --- Breadcrumb: [Home](/) > [Business Intelligence Tools](/directory/318/business-intelligence/software) > [Google Cloud BigQuery](/software/2057619/google-cloud-bigquery) # Google Cloud BigQuery Canonical: https://www.getapp.za.com/software/2057619/google-cloud-bigquery Page: 1 / 3\ Next: [Next page](https://www.getapp.za.com/software/2057619/google-cloud-bigquery?page=2) > BigQuery is a serverless and multi-cloud data warehouse designed to help users turn big data into valuable business insights. Users can query structured data without the need to store it or load it into their own systems first. > > Verdict: Rated **4.6/5** by 35 users. Top-rated for **Likelihood to recommend**. ----- ## Overview ### Key benefits of Google Cloud BigQuery Built-in machine learning: BigQuery ML enables data scientists and data analysts to build and operationalize ML models on planet-scale structured, semi-structured, and now unstructured data directly inside BigQuery, using simple SQL—in a fraction of the time. Export BigQuery ML models for online prediction into Vertex AI or your own serving layer. Learn more about the models we currently support. Analyze and share data across clouds: BigQuery Omni is a fully managed, multicloud analytics solution that allows for cost-effective and secure data analysis across clouds and shares results within a single pane of glass. Within BigQuery Analytics Hub, securely exchange data assets internally and across organizations without data movement and enhance analysis with commercial, public, and Google datasets. Real-time analytics with built-in query acceleration: BigQuery has built-in capabilities that ingest streaming data and make it immediately available to query, along with native integrations to streaming products like Dataflow. Analyze large datasets interactively with BigQuery BI Engine, an in-memory analysis service that offers sub-second query response time and high concurrency. BI Engine natively integrates with Looker Studio and works with many BI tools, including Connected Sheets. Unify, manage, and govern all types of data: Query all data types with BigQuery: structured, semi-structured and unstructured. Use BigLake to explore and unify different data types and build advanced models. Centrally discover, manage, monitor, and govern data across data lakes, data warehouses, and data marts with consistent controls with Dataplex, an intelligent data fabric that enables organizations to provide access to trusted data. Geospatial analysis with BigQuery: BigQuery geospatial uniquely combines the serverless architecture of BigQuery with native support for geospatial analysis, so you can augment your analytics workflows with location intelligence. Simplify your analyses, see spatial data in fresh ways, and unlock entirely new lines of business with support for arbitrary points, lines, polygons, and multi-polygons in common geospatial data formats. Spreadsheet interface: Connected Sheets allows users to analyze billions of rows of live BigQuery data in Google Sheets without requiring SQL knowledge. Users can apply familiar tools—like pivot tables, charts, and formulas—to easily derive insights from big data. Learn more about Connected Sheets in the getting started guide. Real-time change data capture and replication: Synchronize data across heterogeneous databases, storage systems, and applications reliably and with minimal latency with Datastream. Datastream integrates with purpose-built and extensible Dataflow templates to pull change streams written to Cloud Storage, and create up-to-date replicated tables in BigQuery for real-time analytics. Standard SQL: BigQuery supports a standard SQL dialect that is ANSI:2011 compliant, which reduces the need for code rewrites. BigQuery also provides ODBC and JDBC drivers at no cost to ensure your current applications can interact with its powerful engine. Materialized Views: Accelerate query performance and reduce costs within your environment with BigQuery materialized views. It is easy to set up, effortless to use, and best of all it's real time, allowing you to quickly get answers to your questions. Petabyte scale: Get great performance on your data, while knowing you can scale seamlessly to store and analyze petabytes to exabytes of data with ease. Data governance and security: BigQuery's integration with security and privacy services from Google Cloud provides strong security and fine-grained governance controls, down to the column-level and row-level. Rest assured knowing your data is encrypted at rest and in transit by default. Public datasets: Google Cloud Public Datasets offer a powerful data repository of more than 200 high-demand public datasets from different industries. ## Quick Stats & Ratings | Metric | Rating | Detail | | **Overall** | **4.6/5** | 35 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 | 4.7/5 | Based on overall reviews | | Recommendation percentage | 90% | (9/10 Likelihood to recommend) | ## About the vendor - **Company**: Google ## Commercial Context - **Starting Price**: US$2 000,00 - **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**: Chinese, English, French, German, Italian, Japanese, Korean, Portuguese, Spanish - **Available Countries**: Afghanistan, Albania, Algeria, American Samoa, Andorra, Angola, Anguilla, Antigua & 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 (8 total) - Google Ads - Google Analytics 360 - Google Campaign Manager 360 - Google Cloud Bigtable - Google Cloud Compute Engine - Google Data Studio - Looker - Vertex AI ## Support Options - Email/Help Desk - FAQs/Forum - Knowledge Base - Phone Support - Chat ## Category - [Business Intelligence Tools](https://www.getapp.za.com/directory/318/business-intelligence/software) ## Related Categories - [Business Intelligence Tools](https://www.getapp.za.com/directory/318/business-intelligence/software) - [Predictive Analytics Software](https://www.getapp.za.com/directory/628/predictive-analytics/software) - [Big Data Software](https://www.getapp.za.com/directory/603/big-data/software) - [Data Analysis Software](https://www.getapp.za.com/directory/1129/data-analysis/software) - [Data Extraction Software](https://www.getapp.za.com/directory/1157/data-extraction/software) ## Alternatives 1. 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[Google Cloud](https://www.getapp.za.com/software/122483/google-cloud-platform) — 4.7/5 (2262 reviews) ## Reviews ### "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 ----- ### "Superb, Scalable Technology" — 5.0/5 > **John** | *08 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. ----- ### "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. ----- ### ""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. ----- ### "Google Cloud BigQuery is an Ideal Real-time Data Analysis Solution" — 4.0/5 > **Muhammad** | *16 August 2022* | Financial Services | Recommendation rating: 9.0/10 > > **Pros**: Google Cloud BigQuery is cloud-based data warehouse allows super fast querying data. It simplifies data integration process that is cost effective as well. > > **Cons**: Queries also result in lot of redundant data. It cannot be used to substitute a relational database. In some cases it does not accept special characters. Managing an enterprise data, in case of other than flat tables may not be easy. > > BigQuery is powerful and reliable tool to manage huge data consists of trillion of rows. It is well embedded with GCP which ensure economical solution. It provides rich infrastructure and instant real-time analysis. ----- Page: 1 / 3\ Next: [Next page](https://www.getapp.za.com/software/2057619/google-cloud-bigquery?page=2) ## Links - [View on GetApp](https://www.getapp.za.com/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