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    Overview
    ProductRatingMost Used ByProduct SummaryStarting Price

    Google BigQuery

    Score8.4 out of 10
    N/AGoogle's BigQuery is part of the Google Cloud Platform, a database-as-a-service (DBaaS) supporting the querying and rapid analysis of enterprise data.

    $6.25

    per TiB (after the 1st 1 TiB per month, which is free)

    Pricing
    Google BigQuery
    Editions & Modules
    Standard edition
    $0.04 / slot hour
    Enterprise edition
    $0.06 / slot hour
    Enterprise Plus edition
    $0.10 / slot hour
    Offerings
    Pricing Offerings
    Google BigQuery
    Free Trial
    Yes
    Free/Freemium Version
    Yes
    Premium Consulting/Integration Services
    No
    Entry-level Setup FeeNo setup fee
    Additional Details—
    More Pricing Information
    Community Pulse
    Google BigQuery
    Considered Both Products
    Google
    Chose Google BigQuery
    is much better as it’s easily accessible provides velvet documentation and fulfils all our needs as well as easily integrated into clients, environment
    Incentivized
    Chose Google BigQuery
    Google BigQuery is simpler and I say it has simpler UI too.
    If you have a clear long term ask , mainly business intelligence needs then Google BigQuery offers you good.
    If you need too much of features under a single cloud and you are ok to be lil clumsy then you can check …
    Incentivized
    Chose Google BigQuery
    I have used most of the data analytics platforms. Based on my work, I have found that the user interface of Google BigQuery is simple to navigate. I like the front view - ease of joining tables, and integration with other platforms.
    Incentivized
    Chose Google BigQuery
    Compared to every other analytics DB solution I've used, Google BigQuery was by far the easiest to set up and maintain, and scale.
    The price was also much lower for our use case (internal data analysis).
    Incentivized
    Chose Google BigQuery
    For our usage, Google BigQuery is cheaper and more performant. The others have their place, but in certain scenarios, Google BigQuery is a better solution.
    Incentivized
    Chose Google BigQuery
    We actually use Snowflake and BigQuery in tandem because they both currently meet various needs. Redshift, however, has barely been used since our migration away from it. In the case of both Snowflake and BigQuery, they beat Redshift by a long shot. The main reasons are their …
    Incentivized
    Chose Google BigQuery
    I came to use BigQuery from a traditional system like MS SQL server, the features which are available in BigQuery as a cloud service far outweigh the features from SQL server. I have not used other similar tools like Amazon Redshift but Google BigQuery serves multiple use cases …
    Incentivized
    Chose Google BigQuery
    Google BigQuery is cheaper and much faster as compared to both. While as compared to Snowflake , we tested it was faster and cheaper by 30%, that is after Snowflake tweaked their environment, if not for that it would have been 90% cheaper than Snowflake. Redshift is not easy …
    Incentivized
    Chose Google BigQuery
    In my opinion, Google BigQuery is custom made to be the best data lake system that is easy to use, scalas to fit any business size, has inbuilt security, as well as tools for data integrity. Although a few other tools have some of the same functionality, Google BigQuery is the …
    Incentivized
    Chose Google BigQuery
    It's easier to connect data between BigQuery and Looker Studio instead of connecting the data between BigQuery and Tableau in terms of data explore or dashboard creating. Therefore we are considering migrating dashboards from Tableau to Looker Studio for the whole company.
    On …
    Incentivized
    Chose Google BigQuery
    When comparing Google BigQuery and Databricks, both platforms are powerful tools for managing and analyzing large datasets. BQ is ideal for businesses requiring large-scale analytics, reporting, and dashboarding with minimal operational overhead. It’s also great for ad-hoc …
    Incentivized
    Chose Google BigQuery
    Google BigQuery's main advantage over its direct competitors (Amazon Redshift and Azure Synapse) is that it is widely supported by non-Google software, while the others rely heavily on their own cloud ecosystems.
    Incentivized
    Chose Google BigQuery
    I have used other data manipulation tools like SQL Server and Google BigQuery feels more intuitive, Google provides so much documentation and tutorials that getting to know the software is not only easy but even satisfactory, so I'd say Google BigQuery is very superior to that …
    Incentivized
    Chose Google BigQuery
    Amazon Redshift was a likely alternative we were considering , but it needs to be provisioned on cluster and nodes, which increases infrastructure management, whereas Google BigQuery is serverless, so no infra management :) Also, I remember when comparing them we did found out …
    Incentivized
    Chose Google BigQuery
    Its same as compared to Big query. We go with big query because of clients requirements in project.
    Incentivized
    Chose Google BigQuery
    Google BigQuery as a platform allows for more integrations and customizability than many other offerings. Users mostly need to understand the basics of database and SQL programming in order to get the most from the product. However, other products like Hevo do have less of a …
    Incentivized
    Chose Google BigQuery
    There are some areas in which this product is better while there are some in which others do better. It's not like Google BigQuery surpasses them in every metric. For a holistic view, I will say we use this because of - scalability, performance, ease of use, and seamless …
    Incentivized
    Chose Google BigQuery
    The data performance of Google BigQuery is best as per other software. Limitations on Google BigQuery's data size are superior to those of Microsoft SQL. Obtaining real-time data from several IoT devices is another benefit.
    Incentivized
    Chose Google BigQuery
    I personally find it by far simpler than Amazon Redshift due it's onboarding seamlessness. For a quick start and simplify tye access to read the data big query provide better user experience and a smoother user interface. More importantly, the fact that Big Query can be easily …
    Incentivized
    Chose Google BigQuery
    Compared to SingleStore, BigQuery has a big advantage of being completely serverless, and without practical limitations.

    Compared to RedShift, we found the cost model to be more fitted to our needs.
    Incentivized
    Chose Google BigQuery
    BigQuery can automatically scale to accommodate the data and query load, providing potentially unlimited scalability. At the same time, Redshift requires manual scaling efforts to increase or decrease capacity, which might affect performance during scaling operations.
    Incentivized
    Chose Google BigQuery
    We focused more on data volume and less on full application capabilities. All in all, we found that the two solutions complement each other. For integration, some sources were better handled in SAP HANA, particularly other SAP systems where Google Big Query was more suitable …
    Incentivized
    Chose Google BigQuery
    SingleStore has a much lower query latency compared to BigQuery. Thus, we segregate faster tasks to SingleStore, and use BigQuery has our main database to store all historical data.
    Incentivized
    Chose Google BigQuery
    Google BigQuery i would say is better to use than AWS Redshift but not SQL products but this could be due to being more experience in Microsoft and AWS products. It would be really nice if it could use standard SQL server coding rather than having to learn another dialect of …
    Incentivized
    Chose Google BigQuery
    First and foremost, Google BigQuery's pricing structure, based on data processing and storage, is more cost-effective for our needs. Secondly, since we already use other Google Cloud services, its tight integration with them especially, with Cloud Storage and Dataflow was a big …
    Incentivized
    Key User Insights
    Would buy again
    No answers on this topic
    Delivers good value for the price
    No answers on this topic
    Happy with the feature set
    No answers on this topic
    Lived up to sales and marketing promises
    No answers on this topic
    Implementation went as expected
    No answers on this topic
    Features
    Google BigQuery
    Database-as-a-Service
    Comparison of Database-as-a-Service features of Google BigQuery
    Feature
    Google BigQuery
    8.4
    71 Ratings
    Automatic software patching8.017 Ratings
    Database scalability9.270 Ratings
    Automated backups8.524 Ratings
    Database security provisions8.664 Ratings
    Monitoring and metrics8.066 Ratings
    Automatic host deployment8.013 Ratings
    User Ratings
    Google BigQuery
    Likelihood to Recommend
    8.6
    (71 ratings)
    Likelihood to Renew
    8.1
    (3 ratings)
    Usability
    7.7
    (5 ratings)
    Support Rating
    7.3
    (10 ratings)
    Contract Terms and Pricing Model
    10.0
    (1 ratings)
    Professional Services
    8.2
    (2 ratings)