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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)

    Guru

    Score8.9 out of 10
    N/AGuru is a knowledge platform designed to serve as what the vendor describes as an AI source of truth for enterprises. It connects information from tools like Slack, Teams, Google Workspace, Salesforce, and other systems into one governed, permission-aware knowledge layer. Guru delivers cited AI answers, chat, and research directly within existing workflows, to enable employees and AI assistants to access verified knowledge securely and efficiently. The platform combines…

    $25

    per month per user

    Pricing
    Google BigQueryGuru
    Editions & Modules
    Standard edition
    $0.04 / slot hour
    Enterprise edition
    $0.06 / slot hour
    Enterprise Plus edition
    $0.10 / slot hour
    Team
    $25
    per month per user
    AI Source of Truth Platform
    Custom
    Offerings
    Pricing Offerings
    Google BigQueryGuru
    Free Trial
    YesYes
    Free/Freemium Version
    YesNo
    Premium Consulting/Integration Services
    NoYes
    Entry-level Setup FeeNo setup feeOptional
    Additional Details—Guru provides a tailored platform and expertise package based on an organization’s scale, knowledge complexity, and AI maturity. Each engagement includes the full AI Source of Truth platform along with implementation guidance, knowledge architecture design, and ongoing optimization. Pricing is customized to ensure the right fit for enterprise systems, governance requirements, and AI initiatives. Best suited for mid-market and enterprise organizations.
    More Pricing Information
    Community Pulse
    Google BigQueryGuru
    Considered Both Products
    Google
    No answer on this topic
    Guru Technologies
    No answer on this topic
    Key User Insights
    Would buy again
    98%
    Would buy again
    64 Answers
    98%
    Would buy again
    316 Answers
    Delivers good value for the price
    97%
    Delivers good value for the price
    56 Answers
    100%
    Delivers good value for the price
    235 Answers
    Happy with the feature set
    97%
    Happy with the feature set
    63 Answers
    98%
    Happy with the feature set
    315 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
    171 Answers
    Implementation went as expected
    100%
    Implementation went as expected
    59 Answers
    98%
    Implementation went as expected
    191 Answers
    Features
    Google BigQueryGuru
    Database-as-a-Service
    Comparison of Database-as-a-Service features of Google BigQuery and Guru
    Feature
    Google BigQuery
    8.5
    80 Ratings
    1% above category average
    Guru
    -
    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 BigQueryGuru
    Small Businesses
    MongoDB Atlas
    Score7.8 out of 10
    Slite
    Score5.7 out of 10
    Medium-sized Companies
    Azure Database
    Score8.8 out of 10
    Bloomfire
    Score8.4 out of 10
    Enterprises
    Google Cloud SQL
    Score8.7 out of 10
    Bloomfire
    Score8.4 out of 10
    All AlternativesView all alternativesView all alternatives
    User Ratings
    Google BigQueryGuru
    Likelihood to Recommend
    9.0
    (79 ratings)
    9.0
    (327 ratings)
    Likelihood to Renew
    8.1
    (5 ratings)
    9.1
    (16 ratings)
    Usability
    6.6
    (6 ratings)
    8.1
    (140 ratings)
    Availability
    7.3
    (1 ratings)
    9.1
    (5 ratings)
    Performance
    6.4
    (1 ratings)
    8.2
    (6 ratings)
    Support Rating
    4.8
    (11 ratings)
    10.0
    (31 ratings)
    In-Person Training
    -
    (0 ratings)
    8.2
    (2 ratings)
    Online Training
    -
    (0 ratings)
    9.0
    (4 ratings)
    Implementation Rating
    -
    (0 ratings)
    8.4
    (8 ratings)
    Configurability
    6.4
    (1 ratings)
    6.5
    (5 ratings)
    Contract Terms and Pricing Model
    10.0
    (1 ratings)
    9.0
    (2 ratings)
    Ease of integration
    7.3
    (1 ratings)
    8.8
    (3 ratings)
    Product Scalability
    7.3
    (1 ratings)
    8.2
    (5 ratings)
    Professional Services
    8.2
    (2 ratings)
    9.1
    (1 ratings)
    Vendor post-sale
    -
    (0 ratings)
    9.0
    (6 ratings)
    Vendor pre-sale
    -
    (0 ratings)
    9.1
    (6 ratings)
    User Testimonials
    Google BigQueryGuru
    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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    Guru Technologies
    I think Guru is well-suited to organizations with subject matter experts committed to maintaining documentation. Guru cannot be managed by a single admin. It's essential that the SMEs are on board and are expected to participate in Guru as part of their role responsibilities. I'm not sure how well Guru would work for larger organizations with more information to house. I've only ever used Guru in SMBs with about 250 employees. It works well for that size.
    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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    Guru Technologies
    • Easy to learn. Anyone can make cards and use the AI to make them professional.
    • Answer questions about my business, essentially a wiki for everything we do.
    • The research mode is amazing. Full reports on various types of information including some rather complex topics. Complete with citations of where the information came from.
    • Admins can manage a hierarchy to keep information secure and available to the correct people.
    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
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    Guru Technologies
    • Lack of in-app advanced/granular usage and validation analytics.
    • Unreliability of Google Chrome extension.
    • Left navigation is not intuitive nor descriptive--I hunt and peck.
    • The search field is limited to keywords, so I sometimes have to "trick" it by including extra words in the title of a card.
    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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    Guru Technologies
    I rated Guru a 9 out of 10 for renewal likelihood because it has significantly enhanced our processes and customer satisfaction in the automotive rental company. Guru’s user-friendly interface and organized knowledge base make it easy to access and update essential information, which is crucial for maintaining high operational standards. The tool’s integration with other platforms, like the Guru Chrome extension, streamlines our workflow, increasing efficiency and productivity. One of the standout features is the ability to favorite cards, allowing quick access to frequently used information, which saves time and ensures accuracy in customer interactions. Additionally, Guru’s analytics feature helps us identify which resources need updating, ensuring our knowledge base remains relevant and effective. The only reason it’s not a perfect 10 is occasional slow performance and occasional inaccuracies in search results. However, these minor issues do not overshadow the overall benefits Guru provides. Its consistent updates and reminders further enhance our ability to deliver excellent customer support, making it an indispensable tool for our team.
    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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    Guru Technologies
    While using the GURU card, the level of response I get is quality. The rate at which my responses and prompts through the search or chat is fast, responsive, and high-quality. I can easily see when the cards were modified, who modified them, and the new information available on the GURU.
    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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    Guru Technologies
    Highly reliable day‑to‑dayGuru is consistently available when I need it. The platform loads quickly, search works reliably, and I rarely experience downtime or slow performance. It’s dependable enough that teams can trust it as a daily source of truth. Minimal unplanned outages or errors. In my experience, unplanned outages or errors are extremely rare. Even during high‑usage periods or heavy workflows, Guru remains stable and responsive.
    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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    Guru Technologies
    Pages load quickly and consistently. Guru’s interface is lightweight, so cards, boards, and search results load fast with very little lag. Even when navigating between collections or opening larger cards, performance stays smooth and reliable. Integrations perform well without slowing systems down. Using Guru through the browser extension or Slack integration doesn’t noticeably impact performance. Cards surface quickly, and interacting with the integrations feels just as smooth as using Guru directly.
    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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    Guru Technologies
    The support has been wonderful - probably one of the best things about Guru. We have a Slack channel where we can reach out and interact with our Guru CSM, and she is extremely responsive. Even if the solution isn't always easy, she provides all the necessary steps and options clearly.
    Incentivized
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    In-Person Training
    Google
    No answers on this topic
    Guru Technologies
    I would rate the in-person training for Guru a solid 9 out of 10. The session was incredibly valuable as it provided comprehensive insights into using Guru effectively. I learned a lot about the tool's functionalities, which significantly enhanced my proficiency and confidence in utilizing Guru for my daily tasks. The training was engaging, informative, and tailored well to ensure I could apply what I learned immediately. Overall, it was a highly productive and beneficial learning experience.
    Incentivized
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    Online Training
    Google
    No answers on this topic
    Guru Technologies
    The online, on-demand training available was very good. I do wish we had done live online training as an org so that everyone had the same opportunity to learn the value and best practices. I completed the online, on-demand trainings personally, then turned around and taught the org, but I wish I had let the Guru experts do the heavy lifting for me!
    Incentivized
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    Implementation Rating
    Google
    No answers on this topic
    Guru Technologies
    You will need a very strong team of guru champions in order to get EVERYONE and EVERYTHING on Guru, it takes some craziness and over talking about guru everywhere to get people to be exicted, contribute and use. If you are starting any kind of buisness and you need KB, just go for guru as fast as you can because when you will grow you will thank yourself.
    Incentivized
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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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    Guru Technologies
    Compared with the vendors that we initially evaluate the AI functionality of, Guru makes the difference and also the interface capabilities, making it user-friendly, being able to build it up in a professionally way. there are no limitations on the customization of the interface, which supports multiple use cases at once and can apply to different teams that have different needs
    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
    Guru Technologies
    Guru is somewhat expensive compared to what our org is typically willing to spend on software solutions. Additionally, there is a price difference per seat when paid monthly versus annually, which was a big downside for us as my company didn't want to commit to an annual cost.
    Incentivized
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    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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    Guru Technologies
    Easily deployable across multiple teams and departmentsGuru is designed to scale horizontally across an organization. As teams grow, it’s simple to create new Collections, Boards, and permission sets without disrupting existing structures. This allows each department to manage its own knowledge while still contributing to a unified source of truth
    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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    Guru Technologies
    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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    Guru Technologies
    • Guru allows our team to quickly reference available learning/knowledge materials with our clients on a daily basis and provide better support at every outreach
    • With that said, spreading those same resources across two major global teams in the USA and Germany can lead to some inconsistencies. The i-frame process is not very intuitive for this scenario and our team treats policy/procedural differences as separate card or article entities.
    • Guru allowed our organization to pioneer and establish a dedicated knowledge team component, of subject matter experts who work in tangent with existing resources, create new ones, and vet collective knowledge.
    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.

    Guru Screenshots

    Screenshot of VerificationScreenshot of Slack integrationScreenshot of Trending topics for SlackScreenshot of Browser extensionScreenshot of AnnouncementsScreenshot of Duplicate Detection