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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)

    XenServer

    Score8.1 out of 10
    N/AXenServer (formerly Citrix Hypervisor) is a virtualization management platform optimized for application, desktop and server virtualization infrastructures.N/A
    Pricing
    Google BigQueryXenServer
    Editions & Modules
    Standard edition
    $0.04 / slot hour
    Enterprise edition
    $0.06 / slot hour
    Enterprise Plus edition
    $0.10 / slot hour
    No answers on this topic
    Offerings
    Pricing Offerings
    Google BigQueryXenServer
    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 BigQueryXenServer
    Considered Both Products
    Google
    No answer on this topic
    Cloud Software Group
    No answer on this topic
    Key User Insights
    Would buy again
    98%
    Would buy again
    64 Answers
    No answers on this topic
    Delivers good value for the price
    97%
    Delivers good value for the price
    56 Answers
    No answers on this topic
    Happy with the feature set
    97%
    Happy with the feature set
    63 Answers
    No answers on this topic
    Lived up to sales and marketing promises
    100%
    Lived up to sales and marketing promises
    42 Answers
    No answers on this topic
    Implementation went as expected
    100%
    Implementation went as expected
    59 Answers
    No answers on this topic
    Features
    Google BigQueryXenServer
    Database-as-a-Service
    Comparison of Database-as-a-Service features of Google BigQuery and XenServer
    Feature
    Google BigQuery
    8.5
    80 Ratings
    1% above category average
    XenServer
    -
    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
    Server Virtualization
    Comparison of Server Virtualization features of Google BigQuery and XenServer
    Feature
    Google BigQuery
    -
    Ratings
    XenServer
    7.6
    12 Ratings
    6% below category average
    Virtual machine automated provisioning00 Ratings7.011 Ratings
    Management console00 Ratings7.012 Ratings
    Live virtual machine backup00 Ratings8.010 Ratings
    Live virtual machine migration00 Ratings8.012 Ratings
    Hypervisor-level security00 Ratings8.011 Ratings
    Best Alternatives
    Google BigQueryXenServer
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    MongoDB Atlas
    Score7.8 out of 10
    Proxmox VE
    Score9.2 out of 10
    Medium-sized Companies
    Azure Database
    Score8.8 out of 10
    VMware vSOM (discontinued)
    Score10 out of 10
    Enterprises
    Google Cloud SQL
    Score8.7 out of 10
    IBM PowerVM
    Score9.6 out of 10
    All AlternativesView all alternativesView all alternatives
    User Ratings
    Google BigQueryXenServer
    Likelihood to Recommend
    9.0
    (79 ratings)
    7.0
    (12 ratings)
    Likelihood to Renew
    8.1
    (5 ratings)
    10.0
    (3 ratings)
    Usability
    6.6
    (6 ratings)
    7.0
    (3 ratings)
    Availability
    7.3
    (1 ratings)
    5.5
    (1 ratings)
    Performance
    6.4
    (1 ratings)
    6.4
    (1 ratings)
    Support Rating
    4.8
    (11 ratings)
    6.4
    (1 ratings)
    In-Person Training
    -
    (0 ratings)
    2.7
    (1 ratings)
    Implementation Rating
    -
    (0 ratings)
    7.3
    (1 ratings)
    Configurability
    6.4
    (1 ratings)
    5.5
    (1 ratings)
    Contract Terms and Pricing Model
    10.0
    (1 ratings)
    -
    (0 ratings)
    Ease of integration
    7.3
    (1 ratings)
    5.5
    (1 ratings)
    Product Scalability
    7.3
    (1 ratings)
    6.4
    (1 ratings)
    Professional Services
    8.2
    (2 ratings)
    -
    (0 ratings)
    Vendor post-sale
    -
    (0 ratings)
    8.2
    (1 ratings)
    Vendor pre-sale
    -
    (0 ratings)
    8.2
    (1 ratings)
    User Testimonials
    Google BigQueryXenServer
    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
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    Cloud Software Group
    It can be really helpful & useful if we are using Citrix Hypervisor with other provisioning tools. Here are some specific scenarios where Citrix Hypervisor (formerly Citrix XenServer) is well-suited: Server Consolidation, Virtual Desktops, Disaster Recovery, Development & Testing Environments. On the other hand, there are some scenarios where Citrix Hypervisor may be less appropriate: Small-scale Deployments, Highly Heterogeneous Environments, and Limited Virtualization Requirements.
    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
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    Cloud Software Group
    • Citrix hypervisor does price very well for small organizations. It is free.
    • Since this product is open source it does not have any type of vendor lockdown issues.
    • Allows live migration of VM's so you can keep systems up and running when changes are needed to the hardware in the background.
    • The GUI management tools are quite easy to learn.
    • Has Snapshot capability which is a great way to protect against malware as well as do risk-free upgrades.
    Incentivized
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    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
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    Cloud Software Group
    • Adding or presenting additional storage to the host can often be a task that is far more involved than competitive products.
    • The product can require reboots more frequently than competitors due to the DOM kernel getting "hung up".
    • Sometimes when a virtual machine is deleted it still leaves behind orphaned vdisks.
    • Recovering from the loss of a host can sometimes cause virtual machines to require lengthy command prompt scripting to fix so they can be powered back on from another host.
    Incentivized
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    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
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    Cloud Software Group
    With the knowledge and usage of solutions from VMware and Microsoft offering more compelling cloud integrated options it makes it more compelling in many environments which I consult. XenServer is a good product and fits the bill in many smaller environments but as clients look to the cloud or a hybrid cloud it can in some cases make it a bit more difficult.
    Incentivized
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    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
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    Cloud Software Group
    XenServer is a good product in its use and probably free if you have the right Citrix licenses already. However, it does require specific knowledge to manage, which makes it harder to manage if you don't have that knowledge in house.
    Incentivized
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    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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    Cloud Software Group
    It's been a little problematic in the past at larger VDI deployments requiring a bit more care and feeding than other vendors. But the latest releases (6.5.x) have brought about huge improvements in the stability and availability.
    Incentivized
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    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
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    Cloud Software Group
    When running like a top XenServer is a fantastic hypervisor. There is relatively low overhead on the Dom0 so workloads get the most of the resources.
    Incentivized
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    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
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    Cloud Software Group
    The staff I've worked with are very knowledgeable or able to get a very well articulated and capable support team member on the phone or helping them if necessary and they always want to ensure the best experience possible for you on the platform. The ability for the support team to reach out to hardware vendors for assistance is a nice plus too.
    Incentivized
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    In-Person Training
    Google
    No answers on this topic
    Cloud Software Group
    Part of a training for certification to become a trainer for Citrix included an in-person training with a Master CCI. The XenServer training at this time was pretty simplified due to the product primarily being installed however you did have to work with it and mildly configure the system.
    Incentivized
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    Online Training
    Google
    No answers on this topic
    Cloud Software Group
    Haven't given it a real go with any online training however there are some options out there. I have taught a course following Citrix material for XenDesktop which leverages XenServer and it is pre-built so not the best for XenServer specifically for installation but configuration is mildly touched on
    Incentivized
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    Implementation Rating
    Google
    No answers on this topic
    Cloud Software Group
    Ensure you review the HCL (hardware compatibility list) and reach out to the hardware vendors to ensure they support the platform and in case they have documentation that can be followed for the implementation. Also ensure the prerequisites are completed prior to implementation so that as few unexpected delays occur as you can control.
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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
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    Cloud Software Group
    Feature for feature they are neck and neck. I have used Hyper-V 2012 and 2016, VMware ESXi and XenServer evenly. XenServer is a fast install, good documentation, with enterprise features out the box that compare or exceed what VMWare offered with a higher cost of entry.
    Incentivized
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    Contract Terms and Pricing Model
    Google
    None so far. Very satisfied with the transparency on contract terms and pricing model.
    Read full review
    Cloud Software Group
    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
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    Cloud Software Group
    The servers latest versions have made massive improvements to scalability. But from past experience there have been issues when running workloads for extended periods of time without reboot on the hosts. I would need to run similar workloads on the 6.5 release which has changed much of the bottlenecks or issues so I'd imagine its far more capable now, Perhaps able to stand near the best in the market.
    Incentivized
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    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.
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    Cloud Software Group
    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
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    Cloud Software Group
    • Xenserver is easy to learn. We paid for support only for installation and deployment in the first three years, and now our team has the knowledge to solve most problems.
    • Low CAPEX if you have a team that uses open source software day by day.
    • But paid support is necessary to solve critical problems. The open source community is not enough. Actually, we have difficulty solving some bugs without paying for support.
    • Medium OPEX if you have a team that uses open source software day by day.
    Incentivized
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    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.