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    Overview
    ProductRatingMost Used ByProduct SummaryStarting Price

    Cloudflare

    Score8.9 out of 10
    N/ACloudflare’s connectivity cloud is a unified platform of cloud-native services designed to help enterprises regain control over their IT environments. Powered by an intelligent, programmable global cloud network, it is built to offer security, performance, visibility, and reliability.

    $20

    per month

    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)

    Pricing
    CloudflareGoogle BigQuery
    Editions & Modules
    Pro
    $20
    per month
    Business
    $200
    per month
    Free
    Free
    Enterprise
    Contact sales team
    Standard edition
    $0.04 / slot hour
    Enterprise edition
    $0.06 / slot hour
    Enterprise Plus edition
    $0.10 / slot hour
    Offerings
    Pricing Offerings
    CloudflareGoogle BigQuery
    Free Trial
    NoYes
    Free/Freemium Version
    NoYes
    Premium Consulting/Integration Services
    NoNo
    Entry-level Setup FeeNo setup feeNo setup fee
    Additional Details——
    More Pricing Information
    Community Pulse
    CloudflareGoogle BigQuery
    Considered Both Products
    Cloudflare
    No answer on this topic
    Google
    No answer on this topic
    Key User Insights
    Would buy again
    98%
    Would buy again
    171 Answers
    98%
    Would buy again
    64 Answers
    Delivers good value for the price
    97%
    Delivers good value for the price
    165 Answers
    97%
    Delivers good value for the price
    56 Answers
    Happy with the feature set
    98%
    Happy with the feature set
    171 Answers
    97%
    Happy with the feature set
    63 Answers
    Lived up to sales and marketing promises
    96%
    Lived up to sales and marketing promises
    144 Answers
    100%
    Lived up to sales and marketing promises
    42 Answers
    Implementation went as expected
    96%
    Implementation went as expected
    154 Answers
    100%
    Implementation went as expected
    59 Answers
    Features
    CloudflareGoogle BigQuery
    DDoS Protection
    Comparison of DDoS Protection features of Cloudflare and Google BigQuery
    Feature
    Cloudflare
    8.4
    6 Ratings
    4% below category average
    Google BigQuery
    -
    Ratings
    Automatic Scalability9.47 Ratings00 Ratings
    Mitigation SLA8.87 Ratings00 Ratings
    Security policy management8.67 Ratings00 Ratings
    WAF capabilities8.67 Ratings00 Ratings
    Request rate limiting7.87 Ratings00 Ratings
    Traffic filtering7.67 Ratings00 Ratings
    Bot detection8.07 Ratings00 Ratings
    Global threat intelligence8.87 Ratings00 Ratings
    Real-time analytics and reporting7.87 Ratings00 Ratings
    Database-as-a-Service
    Comparison of Database-as-a-Service features of Cloudflare and Google BigQuery
    Feature
    Cloudflare
    -
    Ratings
    Google BigQuery
    8.5
    80 Ratings
    1% above category average
    Automatic software patching00 Ratings8.017 Ratings
    Database scalability00 Ratings9.079 Ratings
    Automated backups00 Ratings8.524 Ratings
    Database security provisions00 Ratings8.873 Ratings
    Monitoring and metrics00 Ratings8.675 Ratings
    Automatic host deployment00 Ratings8.013 Ratings
    Best Alternatives
    CloudflareGoogle BigQuery
    Small Businesses
    No answers on this topic
    MongoDB Atlas
    Score7.8 out of 10
    Medium-sized Companies
    No answers on this topic
    Azure Database
    Score8.8 out of 10
    Enterprises
    No answers on this topic
    Google Cloud SQL
    Score8.7 out of 10
    All AlternativesView all alternativesView all alternatives
    User Ratings
    CloudflareGoogle BigQuery
    Likelihood to Recommend
    9.1
    (192 ratings)
    9.0
    (79 ratings)
    Likelihood to Renew
    8.2
    (4 ratings)
    8.1
    (5 ratings)
    Usability
    8.6
    (8 ratings)
    6.6
    (6 ratings)
    Availability
    9.1
    (2 ratings)
    7.3
    (1 ratings)
    Performance
    9.1
    (2 ratings)
    6.4
    (1 ratings)
    Support Rating
    6.6
    (154 ratings)
    4.8
    (11 ratings)
    Implementation Rating
    8.6
    (2 ratings)
    -
    (0 ratings)
    Configurability
    9.0
    (1 ratings)
    6.4
    (1 ratings)
    Contract Terms and Pricing Model
    -
    (0 ratings)
    10.0
    (1 ratings)
    Ease of integration
    9.0
    (2 ratings)
    7.3
    (1 ratings)
    Product Scalability
    9.1
    (2 ratings)
    7.3
    (1 ratings)
    Professional Services
    -
    (0 ratings)
    8.2
    (2 ratings)
    Vendor post-sale
    7.0
    (1 ratings)
    -
    (0 ratings)
    Vendor pre-sale
    8.0
    (1 ratings)
    -
    (0 ratings)
    User Testimonials
    CloudflareGoogle BigQuery
    Likelihood to Recommend
    Cloudflare
    Cloudflare has features as a CDN/Gateway/Reverse Proxy that simply don't exist in other solutions. Having so many capabilities under a single platform, with solid support and high uptime, has been essential. I would recommend it for hobby projects all the way to enterprise scale. There's a lot of push around AI and workers. Some feel like Cloudflare is following the hype. But after reading a lot about the new features, a decent amount of them has real value.
    Incentivized
    Read full review
    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
    Pros
    Cloudflare
    • The best part is the content delivery network. Cloudflare has a large network of data centres around the world that helps cache and delivers content quickly to our customers.
    • Cloudflare offers us with a fast and reliable DNS service and with the world class features such as Cloudflare workers, SSL verification, certificate management and web application firewall. When all of these are combined together, it provides very strict security for our organization.
    • One of the most important feature that we use is the analytics and threat detection. It provides us with the real time insights of all the threats originating from multiple locations and landing on our websites.
    Incentivized
    Read full review
    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
    Cons
    Cloudflare
    • In some cases, using Cloudflare can actually lead to slower website speeds if the network is congested or if the website's traffic is particularly heavy.
    • Some website owners may find that the level of customization offered by Cloudflare is limited, especially in comparison to other solutions.
    • While Cloudflare is easy to set up and manage, it may be too complex for users who are not familiar with web technologies.
    Incentivized
    Read full review
    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
    Likelihood to Renew
    Cloudflare
    lower cost
    Incentivized
    Read full review
    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
    Usability
    Cloudflare
    Everything is extremely concise and all settings apply immediately and take effect globally. There is no reason to explicitly plan/think in terms of individual regions as one would have to traditional cloud offerings (AWS, OCI, Azure). All Cloudflare products integrate seamless as part of a single pipeline that executes from request to response.
    Incentivized
    Read full review
    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
    Reliability and Availability
    Cloudflare
    In 6+ years of relying on Cloudflare, I think we experienced one or two brief outages that were Cloudflare's fault.
    Incentivized
    Read full review
    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
    Performance
    Cloudflare
    Their Argo for the global network is the core feature we love.
    Incentivized
    Read full review
    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
    Support Rating
    Cloudflare
    While I have had good support in the past from Cloudflare's technical support team, I have had some terrible experiences with billing support. I have had multiple tickets sent to their billing support that I will never receive a reply to for over a month. When I finally do get a reply, it has been an automated email that never gives me an answer to my question.
    Incentivized
    Read full review
    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
    Implementation Rating
    Cloudflare
    Very well executed implementation where our team was able to handle the implementation with guidance.
    Incentivized
    Read full review
    Google
    No answers on this topic
    Alternatives Considered
    Cloudflare
    Nothing like it. Organizations can utilize these Cloudflare products to enhance their online presence by improving security, performance, reliability, and developer efficiency. Cloudflare is an American company that delivers services such as DNS, a content delivery network (CDN), and various other additional services to make websites faster and more secure. Cloudflare is used by over 26 million sites, resulting in the processing of more than 1 billion IP addresses each day.
    Incentivized
    Read full review
    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
    Contract Terms and Pricing Model
    Cloudflare
    No answers on this topic
    Google
    None so far. Very satisfied with the transparency on contract terms and pricing model.
    Read full review
    Scalability
    Cloudflare
    They are built for scale and have the capacity to handle all the traffic we could ever expect to get.
    Incentivized
    Read full review
    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
    Professional Services
    Cloudflare
    No answers on this topic
    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
    Return on Investment
    Cloudflare
    • Immediate ROI on Registrar and DNS hosting while giving a single plane of glass to managing both with domain registrations at cost, and no cost DNS hosting
    • WAF helped us move at risk servers/applications into a protected state allowing us to perform remediations at a measured pace and get them done right instead of band aide solutions.
    • CDN proxying increase the speed of our website while simultaneously reducing server load.
    • DMARC management and report interpretation allow use to identify weak points in our email systems, remediate and move to stricter policies without significantly increasing staff time spent managing it.
    Incentivized
    Read full review
    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
    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.