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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)

    Microsoft Power Automate

    Score8.5 out of 10
    N/AMicrosoft Power Automate is an advanced automation platform offering a range of features, including AI-powered automation, robotic process automation (RPA), business process automation (BPA), digital process automation (DPA), and process/task mining. The platform aims to empower organizations to securely automate their operations at scale by leveraging low-code and AI technologies.

    $15

    per month per user

    Pricing
    Google BigQueryMicrosoft Power Automate
    Editions & Modules
    Standard edition
    $0.04 / slot hour
    Enterprise edition
    $0.06 / slot hour
    Enterprise Plus edition
    $0.10 / slot hour
    Power Automate Premium
    $15
    per month per user
    Power Automate Process
    $150
    per month per bot
    Hosted RPA add-on
    $215
    per month per bot
    Process Mining add-on
    $5,000
    per month per tenant
    Offerings
    Pricing Offerings
    Google BigQueryMicrosoft Power Automate
    Free Trial
    YesYes
    Free/Freemium Version
    YesYes
    Premium Consulting/Integration Services
    NoNo
    Entry-level Setup FeeNo setup feeNo setup fee
    Additional Details——
    More Pricing Information
    Community Pulse
    Google BigQueryMicrosoft Power Automate
    Considered Both Products
    Google
    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
    Microsoft
    No answer on this topic
    Key User Insights
    Would buy again
    98%
    Would buy again
    64 Answers
    93%
    Would buy again
    78 Answers
    Delivers good value for the price
    97%
    Delivers good value for the price
    56 Answers
    96%
    Delivers good value for the price
    75 Answers
    Happy with the feature set
    97%
    Happy with the feature set
    63 Answers
    93%
    Happy with the feature set
    78 Answers
    Lived up to sales and marketing promises
    100%
    Lived up to sales and marketing promises
    42 Answers
    94%
    Lived up to sales and marketing promises
    51 Answers
    Implementation went as expected
    100%
    Implementation went as expected
    59 Answers
    94%
    Implementation went as expected
    58 Answers
    Features
    Google BigQueryMicrosoft Power Automate
    Database-as-a-Service
    Comparison of Database-as-a-Service features of Google BigQuery and Microsoft Power Automate
    Feature
    Google BigQuery
    8.5
    80 Ratings
    1% above category average
    Microsoft Power Automate
    -
    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 BigQueryMicrosoft Power Automate
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    Score10 out of 10
    Medium-sized Companies
    Azure Database
    Score8.8 out of 10
    excentia Admin Tools
    Score7.3 out of 10
    Enterprises
    Google Cloud SQL
    Score8.7 out of 10
    ServiceNow AI Platform
    Score8.5 out of 10
    All AlternativesView all alternativesView all alternatives
    User Ratings
    Google BigQueryMicrosoft Power Automate
    Likelihood to Recommend
    9.0
    (79 ratings)
    8.6
    (89 ratings)
    Likelihood to Renew
    8.1
    (5 ratings)
    9.3
    (9 ratings)
    Usability
    6.6
    (6 ratings)
    9.0
    (7 ratings)
    Availability
    7.3
    (1 ratings)
    -
    (0 ratings)
    Performance
    6.4
    (1 ratings)
    -
    (0 ratings)
    Support Rating
    4.8
    (11 ratings)
    7.9
    (12 ratings)
    In-Person Training
    -
    (0 ratings)
    9.0
    (1 ratings)
    Online Training
    -
    (0 ratings)
    8.9
    (2 ratings)
    Implementation Rating
    -
    (0 ratings)
    8.3
    (39 ratings)
    Configurability
    6.4
    (1 ratings)
    9.0
    (1 ratings)
    Contract Terms and Pricing Model
    10.0
    (1 ratings)
    10.0
    (1 ratings)
    Ease of integration
    7.3
    (1 ratings)
    8.5
    (2 ratings)
    Product Scalability
    7.3
    (1 ratings)
    -
    (0 ratings)
    Professional Services
    8.2
    (2 ratings)
    8.0
    (1 ratings)
    Vendor post-sale
    -
    (0 ratings)
    9.0
    (1 ratings)
    Vendor pre-sale
    -
    (0 ratings)
    10.0
    (1 ratings)
    User Testimonials
    Google BigQueryMicrosoft Power Automate
    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
    Microsoft
    Very useful RPA tools for automating processes with minimal coding and drag-and-drop functionality, with a wide variety of triggers, including scheduled time-based triggers and activity-based triggers, such as modifying a file/list in SharePoint to run a Power Automate flow. Very easy-to-use UI with native integration with every Microsoft product, and a very low automation failure rate for deployed workflows.
    Incentivized
    Read full review
    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
    Microsoft
    • Sending confirmation email to clients and user once the flow is triggered.
    • Fetching or Dumping files from one location to another if the flow is triggered.
    • Schedule flow helps to send alerts and triggers the flow at a specific interval of time to carry out the required task.
    • Power Automate also be used to convert any file format to a specific file format and save it to the required location
    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
    Microsoft
    • Steep learning curve.
    • It can be slow to develop simple solutions compared to other automation platforms such as Smarsheet.
    • Troubleshooting and developing can be frustrating without proper access to edit the code directly.
    • Only able to edit through the GUI and with expressions.
    • Many ways to do the same thing can be frustrating when you need to rework your flow.
    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
    Microsoft
    The tool is very useful when used with its various native connectors, taking great advantage of the integration between the components and systems of the Office365 universe. However, its cost is still high, and automation using more advanced components containing AI resources becomes unfeasible for some companies. Due to the financial crisis that many companies are currently experiencing, investment in automation systems or tools is taking a back seat.
    Incentivized
    Read full review
    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
    Microsoft
    Power Automate features a clean and intuitive user interface that allows users to create, manage, and monitor workflows easily. The UI is designed to be accessible to both technical and non-technical users, with drag-and-drop functionality for building workflows. Power Automate supports integration with a wide range of Microsoft and third-party applications. This flexibility in integration allows users to automate workflows across various systems, enhancing overall productivity and efficiency.
    Incentivized
    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
    Read full review
    Microsoft
    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
    Microsoft
    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
    Microsoft
    both Community support and Microsoft official support typically respond to (and resolve) reported issues in a VERY expedient manner, usually going above and beyond for education and bugfixing. I have been thoroughly impressed with the level of support I had been provided in the past.
    Incentivized
    Read full review
    In-Person Training
    Google
    No answers on this topic
    Microsoft
    after reviewing the main features of Power Automate, the Microsoft trainer focused on some of our real life use cases implementation, from simple to more advanced.
    Incentivized
    Read full review
    Online Training
    Google
    No answers on this topic
    Microsoft
    although it was productive, it is more difficult to stay focused and in a 7 hours a day online training (including screen share issues and the fact that the trainer just can't precisely show the exact location of your mistake)
    Incentivized
    Read full review
    Implementation Rating
    Google
    No answers on this topic
    Microsoft
    Overall, our experience implementing Microsoft Power Automate has been positive, with a relatively low barrier to entry and a fast time-to-value—especially because it integrates natively with Microsoft 365, which we were already using extensively. With Respect to migration, I had a very good experience where existing workflows were reviewed and simplified. Unnecessary steps were removed. Business rules were reimplemented using Power Automate logic. We migrated Approval workflows, email-based notifications, SharePoint-centric processes, and simple integrations.
    Incentivized
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    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
    Microsoft
    Microsoft Power Automate is worlds ahead of Zapier in so many ways. The looping, DOM access, and flow controls are much better. I feel that accessing different data within previous connectors used in a flow is much easier in Microsoft Power Automate as well. The custom connector creation process is a lot more pleasant in Microsoft Power Automate. The DateTime data type is handles MUCH better in Microsoft Power Automate, which is reason enough to use it.
    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
    Microsoft
    I have not done any participations
    Incentivized
    Read full review
    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
    Microsoft
    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
    Microsoft
    Microsoft's professional services provide hands-on support throughout the implementation lifecycle of Power Automate.This includes initial setup, configuration, integration with existing systems, testing, and deployment. They ensure that workflows are correctly designed, optimized for performance, and aligned with security best practices.
    Incentivized
    Read full review
    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
    Microsoft
    • You can automate a lot of process very easy like automatic mails for status updates and such. This will save a lot of time and is more accurate, faster and up-to-date than a user can be.
    • Task approval is centralized and automatic reminders save us a lot of time.
    • The ROI is good if you have a lot of use cases and things to automate
    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.

    Microsoft Power Automate Screenshots

    Screenshot of Microsoft Power Automate (Interface Screenshot) - Work Queues, Initial pageScreenshot of Microsoft Power Automate (Interface Screenshot) - Signed-in web portal home pageScreenshot of Microsoft Power Automate (Interface Screenshot) - Signed-in web portal create pageScreenshot of Microsoft Power Automate (Interface Screenshot) - Desktop designerScreenshot of Microsoft Power Automate (Interface Screenshot) - Hosted RPAScreenshot of Microsoft Power Automate (Interface Screenshot) - Display of DLP violations (on Run)