TrustRadius: an HG Insights company

Save this comparison

Save this comparison

Add Product

Recommended Comparisons

    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)

    Klipfolio Klips

    Score6 out of 10
    Small Businesses (1-50 employees)
    Klipfolio is a customizable dashboard and reporting platform that provides real-time business insights. It is used by small to mid-sized businesses and agencies to track performance metrics and create tailored reports, and to consolidate, transform, and visualize data.

    $90

    per month

    Pricing
    Google BigQueryKlipfolio Klips
    Editions & Modules
    Standard edition
    $0.04 / slot hour
    Enterprise edition
    $0.06 / slot hour
    Enterprise Plus edition
    $0.10 / slot hour
    Base
    $90
    per month
    Grow
    $190
    per month
    Team
    $350
    per month
    Offerings
    Pricing Offerings
    Google BigQueryKlipfolio Klips
    Free Trial
    YesYes
    Free/Freemium Version
    YesNo
    Premium Consulting/Integration Services
    NoYes
    Entry-level Setup FeeNo setup feeOptional
    Additional Details—Discount available for annual pricing. There are various implementation and training options available, from a 60 Day Proof of Concept, to Onboarding & Training, or ongoing dedicated Data Hero support.
    More Pricing Information
    Community Pulse
    Google BigQueryKlipfolio Klips
    Considered Both Products
    Google
    No answer on this topic
    Klipfolio
    No answer on this topic
    Key User Insights
    Would buy again
    98%
    Would buy again
    64 Answers
    82%
    Would buy again
    9 Answers
    Delivers good value for the price
    97%
    Delivers good value for the price
    56 Answers
    90%
    Delivers good value for the price
    9 Answers
    Happy with the feature set
    97%
    Happy with the feature set
    63 Answers
    100%
    Happy with the feature set
    11 Answers
    Lived up to sales and marketing promises
    100%
    Lived up to sales and marketing promises
    42 Answers
    86%
    Lived up to sales and marketing promises
    6 Answers
    Implementation went as expected
    100%
    Implementation went as expected
    59 Answers
    100%
    Implementation went as expected
    7 Answers
    Features
    Google BigQueryKlipfolio Klips
    Database-as-a-Service
    Comparison of Database-as-a-Service features of Google BigQuery and Klipfolio Klips
    Feature
    Google BigQuery
    8.5
    80 Ratings
    1% above category average
    Klipfolio Klips
    -
    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 Klipfolio Klips
    Feature
    Google BigQuery
    -
    Ratings
    Klipfolio Klips
    9.0
    33 Ratings
    11% above category average
    Pixel Perfect reports00 Ratings9.13 Ratings
    Customizable dashboards00 Ratings8.933 Ratings
    Report Formatting Templates00 Ratings9.13 Ratings
    Ad-hoc Reporting
    Comparison of Ad-hoc Reporting features of Google BigQuery and Klipfolio Klips
    Feature
    Google BigQuery
    -
    Ratings
    Klipfolio Klips
    8.6
    33 Ratings
    9% above category average
    Drill-down analysis00 Ratings8.35 Ratings
    Formatting capabilities00 Ratings7.85 Ratings
    Integration with R or other statistical packages00 Ratings9.12 Ratings
    Report sharing and collaboration00 Ratings9.133 Ratings
    Report Output and Scheduling
    Comparison of Report Output and Scheduling features of Google BigQuery and Klipfolio Klips
    Feature
    Google BigQuery
    -
    Ratings
    Klipfolio Klips
    9.4
    33 Ratings
    14% above category average
    Publish to Web00 Ratings8.931 Ratings
    Publish to PDF00 Ratings9.228 Ratings
    Report Delivery Scheduling00 Ratings10.017 Ratings
    Data Discovery and Visualization
    Comparison of Data Discovery and Visualization features of Google BigQuery and Klipfolio Klips
    Feature
    Google BigQuery
    -
    Ratings
    Klipfolio Klips
    9.3
    33 Ratings
    18% above category average
    Pre-built visualization formats (heatmaps, scatter plots etc.)00 Ratings8.932 Ratings
    Location Analytics / Geographic Visualization00 Ratings9.133 Ratings
    Predictive Analytics00 Ratings10.01 Ratings
    Best Alternatives
    Google BigQueryKlipfolio Klips
    Small Businesses
    MongoDB Atlas
    Score7.8 out of 10
    Chartio (discontinued)
    Score7.5 out of 10
    Medium-sized Companies
    Azure Database
    Score8.8 out of 10
    Jet Reports
    Score9.5 out of 10
    Enterprises
    Google Cloud SQL
    Score8.7 out of 10
    Kibana
    Score8.4 out of 10
    All AlternativesView all alternativesView all alternatives
    User Ratings
    Google BigQueryKlipfolio Klips
    Likelihood to Recommend
    9.0
    (79 ratings)
    8.8
    (35 ratings)
    Likelihood to Renew
    8.1
    (5 ratings)
    -
    (0 ratings)
    Usability
    6.6
    (6 ratings)
    9.5
    (13 ratings)
    Availability
    7.3
    (1 ratings)
    -
    (0 ratings)
    Performance
    6.4
    (1 ratings)
    -
    (0 ratings)
    Support Rating
    4.8
    (11 ratings)
    9.1
    (12 ratings)
    Implementation Rating
    -
    (0 ratings)
    8.2
    (1 ratings)
    Configurability
    6.4
    (1 ratings)
    -
    (0 ratings)
    Contract Terms and Pricing Model
    10.0
    (1 ratings)
    -
    (0 ratings)
    Data Sharing and Collaboration
    -
    (0 ratings)
    8.9
    (23 ratings)
    Data Sources
    -
    (0 ratings)
    9.6
    (23 ratings)
    Ease of integration
    7.3
    (1 ratings)
    -
    (0 ratings)
    Product Scalability
    7.3
    (1 ratings)
    -
    (0 ratings)
    Professional Services
    8.2
    (2 ratings)
    -
    (0 ratings)
    User Testimonials
    Google BigQueryKlipfolio Klips
    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
    Klipfolio
    Using Klipfolio is one of the finest ways we can expand our business because it is so simple to use and always has new features that make it better. We also appreciate the excellent customer service they offer. There are several benefits to making this investment in your company's efficiency and profitability. We think it's worth the money.
    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
    Klipfolio
    • All my reporting requirements have been met.
    • Salesforce, HubSpot, Mailchimp, Google Drive, and other business applications are quite easy to integrate with.
    • The information you need is at your fingertips in a matter of seconds.
    • Whenever I have a question, the customer service is always there to answer it.
    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
    Klipfolio
    • While Klipfolio covers so many of the bases, one area where I would like to see expansion would be offering additional design and graphics themes for even more customization.
    • Klipfolio has an extensive offering but might be even better if there were a way that we could integrate with some small to mid-sized CRM solutions for audience list segmentation and marketing integrations.
    • It would be interesting if Klipfolio could enable us to overlay the data learnings for cross-referencing of multiple client campaigns for comparative insights.
    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
    Klipfolio
    No answers on this topic
    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
    Klipfolio
    My initial impressions of the software have been extremely positive. There are YouTube tutorials that explain how to make klips. The intuitive design of the UI It appears that everything in this software has been thoroughly tested to create all the visualizations that can be imagined as well as the user input controls that allow users to have exactly the data they want to be displayed in seconds, considering the various functions and formulas available in the Excel integrations and the extensive list of other services that can be integrated.
    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
    Klipfolio
    No answers on this topic
    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
    Klipfolio
    No answers on this topic
    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
    Klipfolio
    It provides all the necessary information to be able to carry out the analysis of any type of business, to know how money is managed virtually, what to do to have greater visibility, in addition to being a platform that is always accessible and allows continuous and efficient work.
    Incentivized
    Read full review
    Implementation Rating
    Google
    No answers on this topic
    Klipfolio
    None at all; just be sure of what information you will need for working.
    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
    Klipfolio
    These and many other BI tools are the most direct competitors. I only have experience with Klipfolio and Tableau. Tableau is definitely more capable, but much more difficult to learn and use. Klipfolio is simple and really packs a punch for its simplicity. I have yet to run into a major problem with it lacking a needed functionality.
    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
    Klipfolio
    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
    Klipfolio
    No answers on this topic
    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
    Klipfolio
    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
    Klipfolio
    • It made reporting a breeze as we didn't have to spend time creating the reports
    • The reporting forum really helped give our team more metrics to add to reporting
    • Always ready to view Dashboard meant stakeholders could view reports at any given time
    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.

    Klipfolio Klips Screenshots

    Screenshot of an example of a customized dashboard. For showcasing KPIs, tracking performance, or telling complex data stories, Klips lets the user tailor layouts, visuals, and insights, ensuring dashboards are suitable for internal teams or external stakeholders.Screenshot of visualizations, with descriptive text blocks and live data to communicate more than just numbers. Klips lets users insert real-time data directly into text to add context, improving interpretation. Progress towards goals and trends can be tracked using vibrant charts, colors, and text descriptions.Screenshot of one example of the over 30 chart types available, some including bar graphs, pie charts, and heatmaps. The library of pre-built Klip templates connect to popular data sources like Google Analytics, HubSpot, or Salesforce. These templates can be modified.Screenshot of Klipfolio’s formula engine. Similar to Excel, the Klip Editor can be used to clean, transform, and analyze data using functions. Users can perform complex calculations, manipulate dates or text, and add logic or statistical formulas.Screenshot of the Klip editor, used to take precise control over visual properties, customizing font sizes, colors, and styles to match a brand, or to emphasize key metrics. Set decimal places for numerical data, and add prefixes or suffixes—such as currency symbols or percentages—for clear and professional formatting. It also supports conditional formatting, and dynamic colors or icons to highlight trends, anomalies, or thresholds. These tools allow the user to craft Klips that not only deliver insights but also communicate them at a glance.Screenshot of a Klipfolio Klips dashboard. These allow users to customize every aspect, from layouts and fonts to colors and chart styles, ensuring that dashboards align with a brand. For presenting on a laptop, a big-screen TV, or by sharing published links, dashboards are designed to look exceptional in both light and dark modes.