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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)

    Stripe Payments

    Score9 out of 10
    N/AStripe is a payment gateway software solution which supports a range of payment related needs such as subscription management and recurrent billing via Stripe Billing, integration with third party payment services via the Stripe Connect API, assistance starting an Internet business which accepts payements via Stripe Atlas, fraud prevention via Stripe Radar, and payment analytics via Stripe Sigma. Additional features and modules include Stripe Issuing, which allows users to create,…

    $0.02

    per charge

    Pricing
    Google BigQueryStripe Payments
    Editions & Modules
    Standard edition
    $0.04 / slot hour
    Enterprise edition
    $0.06 / slot hour
    Enterprise Plus edition
    $0.10 / slot hour
    Sigma
    $0.02
    per charge
    Radar
    $0.05
    per screened transaction
    Issuing
    $0.10
    per virtual card
    Terminal
    2.7% + 0.05
    per successful charge
    Integrated
    2.9% + 0.30
    per successful charge
    Atlass
    $500
    one-time fee
    Premium Support
    1,800
    per month
    Customized
    Contact sales team
    Offerings
    Pricing Offerings
    Google BigQueryStripe Payments
    Free Trial
    YesNo
    Free/Freemium Version
    YesNo
    Premium Consulting/Integration Services
    NoNo
    Entry-level Setup FeeNo setup feeNo setup fee
    Additional Details——
    More Pricing Information
    Community Pulse
    Google BigQueryStripe Payments
    Considered Both Products
    Google
    No answer on this topic
    Stripe
    No answer on this topic
    Key User Insights
    Would buy again
    98%
    Would buy again
    64 Answers
    88%
    Would buy again
    50 Answers
    Delivers good value for the price
    97%
    Delivers good value for the price
    56 Answers
    91%
    Delivers good value for the price
    50 Answers
    Happy with the feature set
    97%
    Happy with the feature set
    63 Answers
    93%
    Happy with the feature set
    53 Answers
    Lived up to sales and marketing promises
    100%
    Lived up to sales and marketing promises
    42 Answers
    86%
    Lived up to sales and marketing promises
    44 Answers
    Implementation went as expected
    100%
    Implementation went as expected
    59 Answers
    92%
    Implementation went as expected
    48 Answers
    Features
    Google BigQueryStripe Payments
    Database-as-a-Service
    Comparison of Database-as-a-Service features of Google BigQuery and Stripe Payments
    Feature
    Google BigQuery
    8.5
    80 Ratings
    1% above category average
    Stripe Payments
    -
    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
    Payment Gateways
    Comparison of Payment Gateways features of Google BigQuery and Stripe Payments
    Feature
    Google BigQuery
    -
    Ratings
    Stripe Payments
    7.6
    8 Ratings
    3% above category average
    Fraud Detection00 Ratings7.28 Ratings
    API or SDK00 Ratings8.68 Ratings
    Recurring Payment Support00 Ratings6.68 Ratings
    Billing and Invoicing Support00 Ratings8.68 Ratings
    Global Support00 Ratings8.07 Ratings
    Payment Form Acceptance00 Ratings6.67 Ratings
    Best Alternatives
    Google BigQueryStripe Payments
    Small Businesses
    MongoDB Atlas
    Score7.8 out of 10
    Apple Pay
    Score9.1 out of 10
    Medium-sized Companies
    Azure Database
    Score8.8 out of 10
    Payoneer
    Score8 out of 10
    Enterprises
    Google Cloud SQL
    Score8.7 out of 10
    Checkout.com
    Score10 out of 10
    All AlternativesView all alternativesView all alternatives
    User Ratings
    Google BigQueryStripe Payments
    Likelihood to Recommend
    9.0
    (79 ratings)
    8.9
    (85 ratings)
    Likelihood to Renew
    8.1
    (5 ratings)
    10.0
    (3 ratings)
    Usability
    6.6
    (6 ratings)
    7.5
    (7 ratings)
    Availability
    7.3
    (1 ratings)
    -
    (0 ratings)
    Performance
    6.4
    (1 ratings)
    -
    (0 ratings)
    Support Rating
    4.8
    (11 ratings)
    10.0
    (16 ratings)
    Implementation Rating
    -
    (0 ratings)
    10.0
    (1 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 BigQueryStripe Payments
    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
    Stripe
    We had a client who wanted a QR to use in their marketing, which enabled their clients to donate to us. It was so useful to be able to set it up, and we can track the views and donations received using this code. Another client with issues with our website wanted to set up a monthly subscription, so I sent her a payment link, which worked brilliantly. For clients that want to make one-time donations, it also lets the client choose the amount. The only scenario where we haven't been able to help is when clients want to change the card associated with the payment - whilst we understand it is for security/gdpr, it means they have to cancel and set up something new, which poses the danger that we may lose them as a customer.
    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
    Stripe
    • They are reliable. I can count on everything going smoothly with transactions.
    • They are accurate. I don’t run into problems with collecting the proper amounts or being overcharged for fees.
    • They have good customer service. If I have a question about the customer portal or a problem with a customer, they help me resolve these issues.
    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
    Stripe
    • It would be nice to be able to see my Shopify payments from my main payment gateway. I currently have to go to Shopify for that.
    • The ability to be able to offer discounted rates at a smaller threshold would be nice.
    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
    Stripe
    Stripe is the leader in the industry when it comes to any type of industry. All that is needed is a plan and then implementing that plan either with a developer, or through the help of Stripe's customer service team to assist in getting you setup. The ease of use time it takes to get up and running is second to none
    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
    Stripe
    Stripe offers a very easy-to-navigate platform with many different functions. From linking it to our website and accounting platform to tracking our payments, being able to issue a refund quickly if required, and setting up QR codes and payment links for subscriptions or one-time donations, it really covers so many aspects that we need and use on a weekly and monthly basis.
    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
    Stripe
    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
    Stripe
    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
    Stripe
    Stripe's support is nearly perfect – great attention to detail, fast response times, and a willingness to really dig into issues and get to the bottom of them. In the five years we've been using Stripe, the only negative thing I can say about their customer support is that it seems like there has been a slight shift to less technical front-line support agents, which means it's more likely your issue will have to be escalated before you get more information. This, however, has happened as Stripe rolled out more real-time support features like call and chat, and that really isn't workable if you're escalating everything right off the bat. It's absolutely an acceptable trade-off.
    Incentivized
    Read full review
    Implementation Rating
    Google
    No answers on this topic
    Stripe
    It took less than an hour to have everything setup and running
    Incentivized
    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
    Stripe
    Stripe is easier to use and offers better support and rates. My favorite part with Stripe is probably their ready-to-use plug-in that's offered for me. We have multiple eCommerce stores and we rely on our payment process going smoothly. The plug-in from Stripe is free, constantly updated, secure, and very easy to implement.
    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
    Stripe
    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
    Stripe
    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
    Stripe
    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
    Stripe
    • It makes getting money from your clients really easy
    • It gives your clients the guarantee that their payment information is totally secure and confidentially used and kept
    • It is very easy to integrate with online assets of the company
    • In a couple of occasions, some companies have wanted me to use Stripe for them to pay me, and I have had a couple of hiccups. This was more related to the way that these companies set up the Stripe integration of my account to their platform. In both cases, the integration has not been possible and to this date, I still do not know why with exactitude.
    • As I said before, the commissions kept by Stripe could be lower, and shared with the CC companies, rather than having us clients pay for all of o it.
    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.