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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)

    ThoughtSpot

    Score8.4 out of 10
    N/AThoughtSpot is an Agentic Analytics Platform for enterprises where users ask data questions using natural language and get answers with AI. Code-first for data teams and code-free for business users, ThoughtSpot can handle large, complex cloud data at scale.

    $1,500

    per year (5 users)

    Pricing
    Google BigQueryThoughtSpot
    Editions & Modules
    Standard edition
    $0.04 / slot hour
    Enterprise edition
    $0.06 / slot hour
    Enterprise Plus edition
    $0.10 / slot hour
    Thoughtspot Analytics - Pro
    $50
    per month (billed annually) per user (25-1000 users)
    Thoughtspot Analytics - Enterprise
    Custom
    Offerings
    Pricing Offerings
    Google BigQueryThoughtSpot
    Free Trial
    YesYes
    Free/Freemium Version
    YesYes
    Premium Consulting/Integration Services
    NoYes
    Entry-level Setup FeeNo setup feeOptional
    Additional Details——
    More Pricing Information
    Community Pulse
    Google BigQueryThoughtSpot
    Considered Both Products
    Google
    Chose Google BigQuery
    is much better as it’s easily accessible provides velvet documentation and fulfils all our needs as well as easily integrated into clients, environment
    Incentivized
    ThoughtSpot
    No answer on this topic
    Key User Insights
    Would buy again
    98%
    Would buy again
    64 Answers
    86%
    Would buy again
    37 Answers
    Delivers good value for the price
    97%
    Delivers good value for the price
    56 Answers
    91%
    Delivers good value for the price
    29 Answers
    Happy with the feature set
    97%
    Happy with the feature set
    63 Answers
    86%
    Happy with the feature set
    37 Answers
    Lived up to sales and marketing promises
    100%
    Lived up to sales and marketing promises
    42 Answers
    80%
    Lived up to sales and marketing promises
    24 Answers
    Implementation went as expected
    100%
    Implementation went as expected
    59 Answers
    91%
    Implementation went as expected
    29 Answers
    Features
    Google BigQueryThoughtSpot
    Database-as-a-Service
    Comparison of Database-as-a-Service features of Google BigQuery and ThoughtSpot
    Feature
    Google BigQuery
    8.5
    80 Ratings
    1% above category average
    ThoughtSpot
    -
    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
    BI Standard Reporting
    Comparison of BI Standard Reporting features of Google BigQuery and ThoughtSpot
    Feature
    Google BigQuery
    -
    Ratings
    ThoughtSpot
    7.3
    89 Ratings
    11% below category average
    Pixel Perfect reports00 Ratings6.021 Ratings
    Customizable dashboards00 Ratings8.189 Ratings
    Report Formatting Templates00 Ratings7.725 Ratings
    Ad-hoc Reporting
    Comparison of Ad-hoc Reporting features of Google BigQuery and ThoughtSpot
    Feature
    Google BigQuery
    -
    Ratings
    ThoughtSpot
    7.5
    91 Ratings
    6% below category average
    Drill-down analysis00 Ratings8.390 Ratings
    Formatting capabilities00 Ratings7.090 Ratings
    Integration with R or other statistical packages00 Ratings5.949 Ratings
    Report sharing and collaboration00 Ratings8.888 Ratings
    Report Output and Scheduling
    Comparison of Report Output and Scheduling features of Google BigQuery and ThoughtSpot
    Feature
    Google BigQuery
    -
    Ratings
    ThoughtSpot
    8.1
    84 Ratings
    1% below category average
    Publish to Web00 Ratings8.155 Ratings
    Publish to PDF00 Ratings8.478 Ratings
    Report Versioning00 Ratings7.918 Ratings
    Report Delivery Scheduling00 Ratings8.364 Ratings
    Delivery to Remote Servers00 Ratings7.935 Ratings
    Data Discovery and Visualization
    Comparison of Data Discovery and Visualization features of Google BigQuery and ThoughtSpot
    Feature
    Google BigQuery
    -
    Ratings
    ThoughtSpot
    7.2
    86 Ratings
    10% below category average
    Pre-built visualization formats (heatmaps, scatter plots etc.)00 Ratings7.585 Ratings
    Location Analytics / Geographic Visualization00 Ratings7.079 Ratings
    Predictive Analytics00 Ratings7.565 Ratings
    Pattern Recognition and Data Mining00 Ratings6.913 Ratings
    Access Control and Security
    Comparison of Access Control and Security features of Google BigQuery and ThoughtSpot
    Feature
    Google BigQuery
    -
    Ratings
    ThoughtSpot
    8.1
    86 Ratings
    5% below category average
    Multi-User Support (named login)00 Ratings8.282 Ratings
    Role-Based Security Model00 Ratings7.974 Ratings
    Multiple Access Permission Levels (Create, Read, Delete)00 Ratings7.678 Ratings
    Report-Level Access Control00 Ratings7.816 Ratings
    Single Sign-On (SSO)00 Ratings8.772 Ratings
    Mobile Capabilities
    Comparison of Mobile Capabilities features of Google BigQuery and ThoughtSpot
    Feature
    Google BigQuery
    -
    Ratings
    ThoughtSpot
    7.3
    53 Ratings
    6% below category average
    Responsive Design for Web Access00 Ratings7.051 Ratings
    Mobile Application00 Ratings6.734 Ratings
    Dashboard / Report / Visualization Interactivity on Mobile00 Ratings6.746 Ratings
    Application Program Interfaces (APIs) / Embedding
    Comparison of Application Program Interfaces (APIs) / Embedding features of Google BigQuery and ThoughtSpot
    Feature
    Google BigQuery
    -
    Ratings
    ThoughtSpot
    7.2
    51 Ratings
    7% below category average
    REST API00 Ratings7.342 Ratings
    Javascript API00 Ratings6.835 Ratings
    iFrames00 Ratings8.134 Ratings
    Java API00 Ratings7.013 Ratings
    Themeable User Interface (UI)00 Ratings7.235 Ratings
    Customizable Platform (Open Source)00 Ratings7.115 Ratings
    Best Alternatives
    Google BigQueryThoughtSpot
    Small Businesses
    MongoDB Atlas
    Score7.8 out of 10
    Cyfe
    Score4 out of 10
    Medium-sized Companies
    Azure Database
    Score8.8 out of 10
    Qlik Cloud Analytics (Qlik Sense)
    Score8.1 out of 10
    Enterprises
    Google Cloud SQL
    Score8.7 out of 10
    Sisense
    Score6.9 out of 10
    All AlternativesView all alternativesView all alternatives
    User Ratings
    Google BigQueryThoughtSpot
    Likelihood to Recommend
    9.0
    (79 ratings)
    8.4
    (91 ratings)
    Likelihood to Renew
    8.1
    (5 ratings)
    10.0
    (6 ratings)
    Usability
    6.6
    (6 ratings)
    8.2
    (85 ratings)
    Availability
    7.3
    (1 ratings)
    9.0
    (3 ratings)
    Performance
    6.4
    (1 ratings)
    8.0
    (3 ratings)
    Support Rating
    4.8
    (11 ratings)
    8.0
    (4 ratings)
    In-Person Training
    -
    (0 ratings)
    5.0
    (1 ratings)
    Online Training
    -
    (0 ratings)
    4.0
    (1 ratings)
    Implementation Rating
    -
    (0 ratings)
    7.0
    (2 ratings)
    Configurability
    6.4
    (1 ratings)
    8.0
    (1 ratings)
    Contract Terms and Pricing Model
    10.0
    (1 ratings)
    -
    (0 ratings)
    Data Sharing and Collaboration
    -
    (0 ratings)
    7.8
    (5 ratings)
    Data Sources
    -
    (0 ratings)
    8.4
    (5 ratings)
    Ease of integration
    7.3
    (1 ratings)
    9.0
    (1 ratings)
    Product Scalability
    7.3
    (1 ratings)
    8.0
    (3 ratings)
    Professional Services
    8.2
    (2 ratings)
    -
    (0 ratings)
    Vendor post-sale
    -
    (0 ratings)
    8.0
    (1 ratings)
    Vendor pre-sale
    -
    (0 ratings)
    9.0
    (1 ratings)
    User Testimonials
    Google BigQueryThoughtSpot
    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
    ThoughtSpot
    It is well suited when the same data is consumed by many different people with different analytics and visualization requirements because, if you have the data available in ThoughtSpot, every user can prepare different views. Also, it is a good reporting tool, you can get rid of slides if you have a good dashboard prepared, gaining flexibility and agility.
    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
    ThoughtSpot
    • Beautiful visualizations. The visuals are distinct, clean, and easy to discern from one another.
    • Intelligent querying functionality. When looking to manipulate the data, the search function makes it easy to manipulate the features in the data, along with aggregating them in the way you'd like.
    • Embedding! It has been a smooth process thus far for our product & technical teams to work with ThoughtSpot and bring it into our product.
    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
    ThoughtSpot
    • It would be great if ThoughtSpot can add the feature to filter by clicking on visualizations. i.e if I click on a particular data point in the chart if the full dashboard can filter just for that particular data point.
    • Color coding the heatmap with different colors like green to orange to red.
    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
    ThoughtSpot
    I give it just waiting because passport is brilliant and it has helped our organisation In advancing to the next stage in the age of AI. It has allowed or non-tech people to better service and clients in a cost-effective way. George port has allowed us to create new products for us and for our clients increasing our revenue streams and reducing clients churn
    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
    ThoughtSpot
    The rating is because of the ease of use of the interface as it has a no code interface that makes it easy to setup data pipelines without extensive programming. Cloud native integration: It integrates seamlessly with cloud based data warehouses. Automated data loading, Scalability, Cost Effective, Transformations, Data Governance and security.
    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
    ThoughtSpot
    it's available unless there is a server or system update etc. sometimes the timing of this is bad (for example during a month end close)
    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
    ThoughtSpot
    It does what it is supposed to. Would be nice to have a bit more insights
    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
    ThoughtSpot
    I give it this meeting because the team is not only help able to help us in the current solutions but also amazing and taking feedback and feeding it back to their development team which includes more products and features into ThoughtSpot
    Incentivized
    Read full review
    In-Person Training
    Google
    No answers on this topic
    ThoughtSpot
    inhouse in-person training. Took a bit to long to get the basics.
    Incentivized
    Read full review
    Online Training
    Google
    No answers on this topic
    ThoughtSpot
    poor instructions
    Incentivized
    Read full review
    Implementation Rating
    Google
    No answers on this topic
    ThoughtSpot
    Understand use case and model and design accordingly
    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
    ThoughtSpot
    We also explored Tableau Ask Data. Tableau is our standard for BI in our organization. We want to use the smallest amount of tools in our company to have the best adaption. ThoughSpot will fill a few gaps that we have with our current set up and will also enhance out offering for our employees in the transition of being more data driven within in near future
    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
    ThoughtSpot
    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
    ThoughtSpot
    Because it is very reliable, inside the situation, we need strong internet connection to access a lot of data but easily never had any downtime except during the upgrades
    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
    ThoughtSpot
    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
    ThoughtSpot
    • Time to market ROI is massive vs hiring the full-time dedicated team to build and maintain a frontend multi-tenant SaaS data viz product.
    • It will be interesting to see over time how the advanced features play out in terms of usability and end value, such as Natural Search, which we are very excited about, and the machine learning tools.
    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.

    ThoughtSpot Screenshots

    Screenshot of the ThoughtSpot home screenScreenshot of SpotIQ, which offers AI-driven insightsScreenshot of the Spotter AI agent that surfaces insights through natural language queriesScreenshot of AI Assist producing SQL in real timeScreenshot of SpotIQ, which offers AI-driven insightsScreenshot of the integration with dbt models and metrics