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    Overview
    ProductRatingMost Used ByProduct SummaryStarting Price

    Google BigQuery

    Score8.8 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)

    Prezi

    Score7.2 out of 10
    N/APrezi’s advantage over static slides is that its interactive, zoomable canvas shows the relationship between the big picture and the fine details. The vendor’s value proposition is that this puts ideas in context, and makes them more likely to resonate, motivate, and be remembered.

    $3

    per month

    Pricing
    Google BigQueryPrezi
    Editions & Modules
    Standard edition
    $0.04 / slot hour
    Enterprise edition
    $0.06 / slot hour
    Enterprise Plus edition
    $0.10 / slot hour
    Students & Educators - EDU Plus
    $3
    per month
    Individual - Standard
    $5
    per month
    Basic - Plus
    $15
    per month
    Individual - Plus
    $15
    per month
    Business - Plus
    $15
    per month
    Individual - Premium
    $59
    per month
    Business - Premium
    $59
    per month
    Basic - Free
    Free
    Students & Educators - Basic
    Free
    Students & Educators - EDU Teams
    Contact sales team
    Business - Teams
    Contact for quote
    Offerings
    Pricing Offerings
    Google BigQueryPrezi
    Free Trial
    YesYes
    Free/Freemium Version
    YesYes
    Premium Consulting/Integration Services
    NoYes
    Entry-level Setup FeeNo setup feeNo setup fee
    Additional Details——
    More Pricing Information
    Features
    Google BigQueryPrezi
    Database-as-a-Service
    Comparison of Database-as-a-Service features of Google BigQuery and Prezi
    Feature
    Google BigQuery
    8.5
    80 Ratings
    1% above category average
    Prezi
    -
    Ratings
    Automatic software patching8.017 Ratings00 Ratings
    Database scalability9.079 Ratings00 Ratings
    Automated backups8.524 Ratings00 Ratings
    Database security provisions8.873 Ratings00 Ratings
    Monitoring and metrics8.675 Ratings00 Ratings
    Automatic host deployment8.013 Ratings00 Ratings
    Best Alternatives
    Google BigQueryPrezi
    Small Businesses
    MongoDB Atlas
    Score7.8 out of 10
    Adobe Presenter
    Score9 out of 10
    Medium-sized Companies
    Azure Database
    Score8.8 out of 10
    Microsoft Powerpoint Online
    Score7 out of 10
    Enterprises
    Google Cloud SQL
    Score8.7 out of 10
    Adobe Presenter
    Score9 out of 10
    All AlternativesView all alternativesView all alternatives
    User Ratings
    Google BigQueryPrezi
    Likelihood to Recommend
    9.0
    (79 ratings)
    8.0
    (48 ratings)
    Likelihood to Renew
    8.1
    (5 ratings)
    -
    (0 ratings)
    Usability
    6.6
    (6 ratings)
    8.5
    (2 ratings)
    Availability
    7.3
    (1 ratings)
    -
    (0 ratings)
    Performance
    6.4
    (1 ratings)
    -
    (0 ratings)
    Support Rating
    4.8
    (11 ratings)
    8.8
    (22 ratings)
    Configurability
    6.4
    (1 ratings)
    -
    (0 ratings)
    Contract Terms and Pricing Model
    10.0
    (1 ratings)
    -
    (0 ratings)
    Ease of integration
    7.3
    (1 ratings)
    -
    (0 ratings)
    Product Scalability
    7.3
    (1 ratings)
    -
    (0 ratings)
    Professional Services
    8.2
    (2 ratings)
    -
    (0 ratings)
    User Testimonials
    Google BigQueryPrezi
    Likelihood to Recommend
    Google
    Event-based data can be captured seamlessly from our data layers (and exported to Google BigQuery). When events like page-views, clicks, add-to-cart are tracked, Google BigQuery can help efficiently with running queries to observe patterns in user behaviour. That intermediate step of trying to "untangle" event data is resolved by Google BigQuery. A scenario where it could possibly be less appropriate is when analysing "granular" details (like small changes to a database happening very frequently).
    Incentivized
    Read full review
    Prezi Inc.
    When you have to present complex hierarchical structures, and if your audience would require navigation in and out of the hierarchy, then Prezi is a good candidate for you. But be prepared, Prezi is not as intuitive as a standard presentation tool, and it may take some time to get used to.
    Incentivized
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    Pros
    Google
    • Realtime integration with Google Sheets.
    • GSheet data can be linked to a BigQuery table and the data in that sheet is ingested in realtime into BigQuery. It's a live 'sync' which means it supports insertions, deletions, and alterations. The only limitation here is the schema'; this remains static once the table is created.
    • Seamless integration with other GCP products.
    • A simple pipeline might look like this:-
    • GForms -> GSheets -> BigQuery -> Looker
    • It all links up really well and with ease.
    • One instance holds many projects.
    • Separating data into datamarts or datameshes is really easy in BigQuery, since one BigQuery instance can hold multiple projects; which are isolated collections of datasets.
    Incentivized
    Read full review
    Prezi Inc.
    • It is great for creating more compelling and attractive presentations. A wide variety of features and possibilities.
    • Dozens of fantastic templates that may be easily adopted. It helps a lot in terms of productivity, specially for beginners.
    • It provides many resources and options to create presentations with sophisticated visual and animations.
    • It is simple and easy to use - no need of programming knowledge to create animations, import assets, edit and export the presentations.
    Incentivized
    Read full review
    Cons
    Google
    • Please expand the availability of documentation, tutorials, and community forums to provide developers with comprehensive support and guidance on using Google BigQuery effectively for their projects.
    • If possible, simplify the pricing model and provide clearer cost breakdowns to help users understand and plan for expenses when using Google BigQuery. Also, some cost reduction is welcome.
    • It still misses the process of importing data into Google BigQuery. Probably, by improving compatibility with different data formats and sources and reducing the complexity of data ingestion workflows, it can be made to work.
    Incentivized
    Read full review
    Prezi Inc.
    • Linux support is non-existent. With Android/Chrome OS being based on the linux kernel but also with lots of tech-savvy and influencers using non-Windows and non iOS platforms, I feel a pariah.
    • As far as I know for Android phones and tablets you can only present but not edit prezis in its native app. Again an Android users, it is a sub-par experience the app in general is lacking functionality.
    • Using the browser version (because I have no other alternative) uploading multiple images is very buggy
    • Having a version history would be great when you are editing a large presentation over several days
    Incentivized
    Read full review
    Likelihood to Renew
    Google
    We have to use this product as its a 3rd party supplier choice to utilise this product for their data side backend so will not be likely we will move away from this product in the future unless the 3rd party supplier decides to change data vendors.
    Incentivized
    Read full review
    Prezi Inc.
    No answers on this topic
    Usability
    Google
    I think overall it is easy to use. I haven't done anything from the development side but an more of an end user of reporting tables built in Google BigQuery. I connect data visualization tools like Tableau or Power BI to the BigQuery reporting tables to analyze trends and create complex dashboards.
    Incentivized
    Read full review
    Prezi Inc.
    Learning to use Prezi and create new presentations is very simple and easy to do. It does not require new skills or a long training process, since in general the use is quite intuitive (and if you have any questions there are many videos on how to use it). Its operation in both the browser version and the app is very good and fluid, managing to perform all the tasks you want properly.
    Read full review
    Reliability and Availability
    Google
    I have never had any significant issues with Google Big Query. It always seems to be up and running properly when I need it. I cannot recall any times where I received any kind of application errors or unplanned outages. If there were any they were resolved quickly by my IT team so I didn't notice them.
    Incentivized
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    Prezi Inc.
    No answers on this topic
    Performance
    Google
    I think Google Big Query's performance is in the acceptable range. Sometimes larger datasets are somewhat sluggish to load but for most of our applications it performs at a reasonable speed. We do have some reports that include a lot of complex calculations and others that run on granular store level data that so sometimes take a bit longer to load which can be frustrating.
    Incentivized
    Read full review
    Prezi Inc.
    No answers on this topic
    Support Rating
    Google
    BigQuery can be difficult to support because it is so solid as a product. Many of the issues you will see are related to your own data sets, however you may see issues importing data and managing jobs. If this occurs, it can be a challenge to get to speak to the correct person who can help you.
    Incentivized
    Read full review
    Prezi Inc.
    It is a modern and easy-to-use tool (after a while) that allows you to make dynamic and trained presentations without the need to be an expert user. It has allowed me to improve the attention and motivational processes of my students. In addition, it has many [community users] who make videos and teach the many uses that you can use Prezi. And because, despite the restrictions of the free version, everyone can access and make use of Prezi and thus improve their boring ppt and inject some vitality into them.
    Read full review
    Alternatives Considered
    Google
    PowerBI can connect to GA4 for example but the data processing is more complicated and it takes longer to create dashboards. Azure is great once the data import has been configured but it's not an easy task for small businesses as it is with BigQuery.
    Incentivized
    Read full review
    Prezi Inc.
    Other solutions for presentations all fall on the typical slideshow paradigm. So far, only Prezi walked away from this path. Its expanding canvas and freeform path are refreshing in this scenario. In this sense, Prezi is unique in its style of presentation, which makes difficult to establish comparisons based on costs. The still ongoing migration to Prezi Next has been a bit troubled, according to some old users, but it seems the company is working to give Prezi Next the same flexibility that Prezi Classic. And Prezi already has a huge user base that do not want to go back working with the limits of slides.
    Incentivized
    Read full review
    Contract Terms and Pricing Model
    Google
    None so far. Very satisfied with the transparency on contract terms and pricing model.
    Read full review
    Prezi Inc.
    No answers on this topic
    Scalability
    Google
    We have continued to expand out use of Google Big Query over the years. I'd say its flexibility and scalability is actually quite good. It also integrates well with other tools like Tableau and Power BI. It has served the needs of multiple data sources across multiple departments within my company.
    Incentivized
    Read full review
    Prezi Inc.
    No answers on this topic
    Professional Services
    Google
    Google Support has kindly provide individual support and consultants to assist with the integration work. In the circumstance where the consultants are not present to support with the work, Google Support Helpline will always be available to answer to the queries without having to wait for more than 3 days.
    Read full review
    Prezi Inc.
    No answers on this topic
    Return on Investment
    Google
    • Previously, running complex queries on our on-premise data warehouse could take hours. Google BigQuery processes the same queries in minutes. We estimate it saves our team at least 25% of their time.
    • We can target our marketing campaigns very easily and understand our customer behaviour. It lets us personalize marketing campaigns and product recommendations and experience at least a 20% improvement in overall campaign performance.
    • Now, we only pay for the resources we use. Saved $1 million annually on data infrastructure and data storage costs compared to our previous solution.
    Incentivized
    Read full review
    Prezi Inc.
    • Prezi provided us with a unique selling factor when it came to pitching our services to new prospects.
    • While creating a presentation from scratch might be time-consuming, Prezi allows you to easily reuse and utilize old designs to create new presentations with a different vibe and content.
    • An easy way to impress upper management and stakeholders, especially when presenting to the management of our clients.
    Incentivized
    Read full review
    ScreenShots

    Google BigQuery Screenshots

    Screenshot of Migrating data warehouses to BigQuery - Features a streamlined migration path from Netezza, Oracle, Redshift, Teradata, or Snowflake to BigQuery using the fully managed BigQuery Migration Service.Screenshot of bringing any data into BigQuery - Data files can be uploaded from local sources, Google Drive, or Cloud Storage buckets, using BigQuery Data Transfer Service (DTS), Cloud Data Fusion plugins, by replicating data from relational databases with Datastream for BigQuery, or by leveraging Google's data integration partnerships.Screenshot of generative AI use cases with BigQuery and Gemini models - Data pipelines that blend structured data, unstructured data and generative AI models together can be built to create a new class of analytical applications. BigQuery integrates with Gemini 1.0 Pro using Vertex AI. The Gemini 1.0 Pro model is designed for higher input/output scale and better result quality across a wide range of tasks like text summarization and sentiment analysis. It can be accessed using simple SQL statements or BigQuery’s embedded DataFrame API from right inside the BigQuery console.Screenshot of insights derived from images, documents, and audio files, combined with structured data - Unstructured data represents a large portion of untapped enterprise data. However, it can be challenging to interpret, making it difficult to extract meaningful insights from it. Leveraging the power of BigLake, users can derive insights from images, documents, and audio files using a broad range of AI models including Vertex AI’s vision, document processing, and speech-to-text APIs, open-source TensorFlow Hub models, or custom models.Screenshot of event-driven analysis - Built-in streaming capabilities automatically ingest streaming data and make it immediately available to query. This allows users to make business decisions based on the freshest data. Or Dataflow can be used to enable simplified streaming data pipelines.Screenshot of predicting business outcomes AI/ML - Predictive analytics can be used to streamline operations, boost revenue, and mitigate risk. BigQuery ML democratizes the use of ML by empowering data analysts to build and run models using existing business intelligence tools and spreadsheets.

    Prezi Screenshots

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