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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)

    Veeam Data Cloud for Microsoft 365

    Score8.7 out of 10
    Mid-Size Companies (51-1,000 employees)
    Veeam Data Cloud for Microsoft 365 is a BaaS (Backup as a Service) solution used to back up and restore Microsoft 365 data, including Microsoft Exchange, Microsoft SharePoint, Microsoft OneDrive for Business and Microsoft Teams data.N/A
    Pricing
    Google BigQueryVeeam Data Cloud for Microsoft 365
    Editions & Modules
    Standard edition
    $0.04 / slot hour
    Enterprise edition
    $0.06 / slot hour
    Enterprise Plus edition
    $0.10 / slot hour
    VDC for Microsoft 365
    Contact Sales
    Offerings
    Pricing Offerings
    Google BigQueryVeeam Data Cloud for Microsoft 365
    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 BigQueryVeeam Data Cloud for Microsoft 365
    Considered Both Products
    Google
    No answer on this topic
    Veeam Software
    No answer on this topic
    Key User Insights
    Would buy again
    98%
    Would buy again
    64 Answers
    97%
    Would buy again
    282 Answers
    Delivers good value for the price
    97%
    Delivers good value for the price
    56 Answers
    98%
    Delivers good value for the price
    266 Answers
    Happy with the feature set
    97%
    Happy with the feature set
    63 Answers
    97%
    Happy with the feature set
    281 Answers
    Lived up to sales and marketing promises
    100%
    Lived up to sales and marketing promises
    42 Answers
    99%
    Lived up to sales and marketing promises
    268 Answers
    Implementation went as expected
    100%
    Implementation went as expected
    59 Answers
    95%
    Implementation went as expected
    261 Answers
    Features
    Google BigQueryVeeam Data Cloud for Microsoft 365
    Database-as-a-Service
    Comparison of Database-as-a-Service features of Google BigQuery and Veeam Data Cloud for Microsoft 365
    Feature
    Google BigQuery
    8.5
    80 Ratings
    1% above category average
    Veeam Data Cloud for Microsoft 365
    -
    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
    Data Center Backup
    Comparison of Data Center Backup features of Google BigQuery and Veeam Data Cloud for Microsoft 365
    Feature
    Google BigQuery
    -
    Ratings
    Veeam Data Cloud for Microsoft 365
    8.6
    148 Ratings
    0% below category average
    Management dashboard00 Ratings8.2144 Ratings
    Retention options00 Ratings9.1144 Ratings
    Encryption00 Ratings8.6128 Ratings
    Enterprise Backup
    Comparison of Enterprise Backup features of Google BigQuery and Veeam Data Cloud for Microsoft 365
    Feature
    Google BigQuery
    -
    Ratings
    Veeam Data Cloud for Microsoft 365
    7.8
    134 Ratings
    1% below category average
    Operational reporting and analytics00 Ratings7.8129 Ratings
    Malware protection00 Ratings7.794 Ratings
    Ransomware Recovery00 Ratings7.989 Ratings
    SaaS Backup
    Comparison of SaaS Backup features of Google BigQuery and Veeam Data Cloud for Microsoft 365
    Feature
    Google BigQuery
    -
    Ratings
    Veeam Data Cloud for Microsoft 365
    8.4
    124 Ratings
    2% below category average
    SaaS Product Integration00 Ratings9.296 Ratings
    Multiple Data Restoration Options00 Ratings8.7119 Ratings
    Data Auditing and Search00 Ratings7.5109 Ratings
    Data Storage in the Cloud or On-Premises00 Ratings8.4116 Ratings
    Best Alternatives
    Google BigQueryVeeam Data Cloud for Microsoft 365
    Small Businesses
    MongoDB Atlas
    Score7.8 out of 10
    Backupify
    Score5.6 out of 10
    Medium-sized Companies
    Azure Database
    Score8.8 out of 10
    Spanning Backup
    Score7.4 out of 10
    Enterprises
    Google Cloud SQL
    Score8.7 out of 10
    Veeam Data Cloud for Azure
    Score7.9 out of 10
    All AlternativesView all alternativesView all alternatives
    User Ratings
    Google BigQueryVeeam Data Cloud for Microsoft 365
    Likelihood to Recommend
    9.0
    (79 ratings)
    8.7
    (289 ratings)
    Likelihood to Renew
    8.1
    (5 ratings)
    9.1
    (11 ratings)
    Usability
    6.6
    (6 ratings)
    8.4
    (290 ratings)
    Availability
    7.3
    (1 ratings)
    9.1
    (3 ratings)
    Performance
    6.4
    (1 ratings)
    8.8
    (3 ratings)
    Support Rating
    4.8
    (11 ratings)
    8.8
    (281 ratings)
    Implementation Rating
    -
    (0 ratings)
    8.9
    (8 ratings)
    Configurability
    6.4
    (1 ratings)
    6.9
    (2 ratings)
    Contract Terms and Pricing Model
    10.0
    (1 ratings)
    -
    (0 ratings)
    Ease of integration
    7.3
    (1 ratings)
    9.1
    (1 ratings)
    Product Scalability
    7.3
    (1 ratings)
    9.1
    (3 ratings)
    Professional Services
    8.2
    (2 ratings)
    -
    (0 ratings)
    Vendor post-sale
    -
    (0 ratings)
    9.1
    (3 ratings)
    Vendor pre-sale
    -
    (0 ratings)
    9.1
    (3 ratings)
    User Testimonials
    Google BigQueryVeeam Data Cloud for Microsoft 365
    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
    Veeam Software
    Analyzing campaign performance is a great area where the Veeam Data Cloud for Microsoft 365 is well-suited, and it’s working well. In the past, when we analyzed campaign performance, we had to use outside vendors, which was a time-consuming, laborious, and costly process.
    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
    Veeam Software
    • Granular restoration of emails within a mailbox
    • Complete Restoration of a Mailbox
    • Restoration of Teams Conversations
    • Add users for backups
    • Restauración granular de correos electrónicos dentro de un buzón
    • Restauración completa de un buzón
    • Restauración de conversaciones de TEAMS
    • Agregar usuarios para respaldos
    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
    Veeam Software
    • I would like the option to remove users from the backup and set them to an alternate storage location/ archive location. Currently, my backups are at 7 TB, and I would like to segment out data with lower data retention requirements.
    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
    Veeam Software
    Veeam Backup for Microsoft 365 just works so well and is so easy to use. I researched multiple options for Office 365 backup and none seemed to be as easy to setup and use as Veeam Backup for Microsoft 365 and the pricing was very comfortable to us. I can't imagine any reason why we would change away from Veeam Backup for Microsoft 365.
    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
    Veeam Software
    The interface is simple, but powerful. It's easy to setup, easy to use. It's able to restore individual files and emails with ease. Would like to see the wording on some features cleared up, as it's caused us some confusing learning the tool.
    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
    Veeam Software
    I have yet to need it during any of their scheduled maintenance windows. It's always online.
    Incentivized
    Read full review
    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
    Veeam Software
    We have a lot of data, and pulling backups out of the store sometimes takes a bit of time - but this is within acceptable tolerances. I don't expect restores to be instantaneous, and I can't quantify if the speed is software or data repository.
    Incentivized
    Read full review
    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
    Veeam Software
    The setup support we received was extremely helpful. They allowed us to learn as they created the policies and managed the handoff between setup and guided setup very well. This resulted in active, usable policies and us having the knowledge to adapt these as our needs change in the future.
    Incentivized
    Read full review
    Implementation Rating
    Google
    No answers on this topic
    Veeam Software
    Really easy, but we are not a big company. I am not backing up all users, just those that could fire me.
    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
    Veeam Software
    First and foremost, Veeam's reputation stood out. They have been a leader in the backup vendors for a few years. That reputation along with recommendations from colleagues sold us on Veeam Data Cloud for Microsoft 365. The other vendors that we did demo's with were lacluster in setup and performance. Veeam Data Cloud for Microsoft 365 immediately won us over.
    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
    Veeam Software
    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
    Veeam Software
    I have had no issues scaling this software as my organisation or data estate has grown. It always does exaclty what it says on the box.
    Incentivized
    Read full review
    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
    Veeam Software
    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
    Veeam Software
    • The only real impact is from a compliance standpoint. Our company is expected at a regulatory level to be protecting our data and even though the tenant has little traffic there could still be some regulated data in there. We have to be able to tell an auditor that it's being backed up by an enterprise grade solution, and that's what VDC was intended for.
    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.

    Veeam Data Cloud for Microsoft 365 Screenshots

    Product screenshot