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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)

    LibreOffice

    Score9 out of 10
    N/ALibreOffice is a free and open-source Office Suite from The Document Foundation, presented as the successor to OpenOffice.org. The suite includes Writer (word processing), Calc (spreadsheets), Impress (presentations), Draw (vector graphics and flowcharts), Base (databases), and Math (formula editing).

    $0

    free and open source under the Mozilla Public License v2.0

    Pricing
    Google BigQueryLibreOffice
    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 BigQueryLibreOffice
    Free Trial
    YesNo
    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 BigQueryLibreOffice
    Considered Both Products
    Google
    No answer on this topic
    The Document Foundation
    Chose LibreOffice
    Microsoft Office 2016 is the premium option for word processing, but in my line of work the content is more important than the presentation. I am mostly content to work in Google Docs unless working with documents of a sensitive nature. Then I use LibreOffice.
    Incentivized
    Key User Insights
    Would buy again
    98%
    Would buy again
    64 Answers
    92%
    Would buy again
    12 Answers
    Delivers good value for the price
    97%
    Delivers good value for the price
    56 Answers
    100%
    Delivers good value for the price
    12 Answers
    Happy with the feature set
    97%
    Happy with the feature set
    63 Answers
    92%
    Happy with the feature set
    12 Answers
    Lived up to sales and marketing promises
    100%
    Lived up to sales and marketing promises
    42 Answers
    100%
    Lived up to sales and marketing promises
    10 Answers
    Implementation went as expected
    100%
    Implementation went as expected
    59 Answers
    92%
    Implementation went as expected
    12 Answers
    Features
    Google BigQueryLibreOffice
    Database-as-a-Service
    Comparison of Database-as-a-Service features of Google BigQuery and LibreOffice
    Feature
    Google BigQuery
    8.5
    80 Ratings
    1% above category average
    LibreOffice
    -
    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 BigQueryLibreOffice
    Small Businesses
    MongoDB Atlas
    Score7.8 out of 10
    Google Workspace
    Score9.1 out of 10
    Medium-sized Companies
    Azure Database
    Score8.8 out of 10
    Google Workspace
    Score9.1 out of 10
    Enterprises
    Google Cloud SQL
    Score8.7 out of 10
    Microsoft 365 Business Premium
    Score9 out of 10
    All AlternativesView all alternativesView all alternatives
    User Ratings
    Google BigQueryLibreOffice
    Likelihood to Recommend
    9.0
    (79 ratings)
    9.0
    (33 ratings)
    Likelihood to Renew
    8.1
    (5 ratings)
    9.0
    (1 ratings)
    Usability
    6.6
    (6 ratings)
    9.0
    (6 ratings)
    Availability
    7.3
    (1 ratings)
    10.0
    (1 ratings)
    Performance
    6.4
    (1 ratings)
    6.0
    (1 ratings)
    Support Rating
    4.8
    (11 ratings)
    7.3
    (6 ratings)
    Implementation Rating
    -
    (0 ratings)
    9.0
    (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)
    5.0
    (1 ratings)
    Product Scalability
    7.3
    (1 ratings)
    7.0
    (1 ratings)
    Professional Services
    8.2
    (2 ratings)
    -
    (0 ratings)
    User Testimonials
    Google BigQueryLibreOffice
    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
    The Document Foundation
    If you're working with numbers, LibreOffice doesn't get in your way and try to make changes as it sees fit, forcing you to repeatedly go back and undo processes you didn't want, didn't ask for, and that have no place in the document you are trying to produce. All I want to do is assemble the data, process it for the task at hand, and then print it for distribution. LibreOffice allows me to do that.
    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
    The Document Foundation
    • Tools like speeling, grammar, and thesaurus are super fast and intuitive
    • Read-only content can be created by adding a section and password
    • The right-click menus are very intuitive and change on the fly with what is needed depending on the content and situation
    • Documents can be saved natively as *.docx or *.xlsx
    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
    The Document Foundation
    • It doesn't provide all the functions it should with a paid subscription.
    • There are features that are only available with Premium and I have premium and they are still not available.
    • Paying for the premium version doesn't provide additional services than free version
    • Customer service is nonresponsive and has been nonresponsive for years even prior to COVID.
    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
    The Document Foundation
    We use it consistently and have a lot of documents in the OpenDocument format so it will be necessary to use LibreOffice or a compatible product such as Openoffice in the future to be able to open these files. Because the license fee for Libreoffice is zero it is not very costly to keep using it - the costs are mostly for keeping it installed on the office PCs and regularly updated, and solving employee issues with the user support.
    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
    The Document Foundation
    For all of the reasons in the foregoing evaluation. Its menus are clean, intuitive and straightforward. Any function I need to use can be accessed via keystrokes, without having to stop, move my hand to the mouse, deal with it, and then get back to the keyboard to proceed. It helps me keep my mind on my work and not worry about dealing with the mouse all the time.
    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
    The Document Foundation
    Libreoffice is a desktop app not requiring any server part so it is always available when the PC is working normally. Installing it on another machine if one PC fails is very quick and easy. This is a non-issue.
    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
    The Document Foundation
    For big/imported tables or text documents with images loaded from the internet it is sometimes getting very slow, RAM and CPU intensive, and sometimes even hangs due to some memory leaks or other bugs. This is a long-term problem and is still not resolved perfectly.
    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
    The Document Foundation
    Support is not officially offered. However, you can find answers to any usage questions or trouble-shooting online easily, typically starting with a Google search. (I believe that all forums / tips for OpenOffice apply equally to LibreOffice, and vice versa.) While Microsoft Office, for example, officially includes support, I find that typically you end up going to a Google search in any case. So, this is not really a downside. However, in all these cases, you end up doing a lot of figuring things out for yourself.
    Incentivized
    Read full review
    Implementation Rating
    Google
    No answers on this topic
    The Document Foundation
    Generally easy to perform, issues are how to ensure regular automatic updates on Mac OS X. Fortunatly we have only a few machines with OS X run by management and we can do these updates manually occasionally. Windows updates are quite easy with the support of third party software such as Ninite or Chocolatey, and Linux updates are super-easy thanks to the package manager (apt-get).
    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
    The Document Foundation
    I think it is fair to say this:
    • If you are looking for a well-rounded, GNU-licensed product that will encompass word processing, spreadsheets, presentations, and database then LibreOffice is probably all you need.
    • For online collaboration, links with cloud storage, and more robust support, Microsoft Office 365 and Google Docs are probably what you or your organization needs.
    • LibreOffice is at its best for regular document creation and spreadsheet management. It is more cumbersome when it comes to fonts but also when it comes to linkages with cloud-based services. It is there, but you need some more computer knowledge to make it work.
    • There are other free alternatives, most notably Apache Open Office, which is also a very good alternative if you do not like LibreOffice.
    Having said that, I honestly think off-line computers or laptops used off-site can certainly benefit from having LibreOffice installed.
    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
    The Document Foundation
    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
    The Document Foundation
    With more users using it in the company there are more cases when a simultaneous editing of the same document is needed and this feature is lacking in Libreoffice even though the files concerned are shared and synced by some solution (we use ownCloud). Google Docs or MS Office365 via Sharepoint/Onedrive offer a better function for this.
    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
    The Document Foundation
    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
    The Document Foundation
    • I am able to quickly create and edit word processing documents and spreadsheets which are for all intents and purposes equivalent to documents I could create and edit in other tools such as Microsoft Office and Google Docs/Sheets.
    • Lack of an online portal for sharing documents necessitates the use of Google Sheets for automation/integration. Ideal would be an all-in-one solution.
    • Having open-source software that provides common functionality eliminates the need for expensive licenses.
    • Lack of dedicated support is negligible. Most issues can be resolved using online search.
    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.