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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)

    Yellowfin

    Score8.6 out of 10
    Mid-Size Companies (51-1,000 employees)
    Yellowfin is a cloud-based business intelligence and dashboarding platform.

    $250

    per month

    Pricing
    Google BigQueryYellowfin
    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 BigQueryYellowfin
    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 BigQueryYellowfin
    Considered Both Products
    Google
    No answer on this topic
    Idera, Inc.
    No answer on this topic
    Key User Insights
    Would buy again
    98%
    Would buy again
    64 Answers
    67%
    Would buy again
    6 Answers
    Delivers good value for the price
    97%
    Delivers good value for the price
    56 Answers
    63%
    Delivers good value for the price
    5 Answers
    Happy with the feature set
    97%
    Happy with the feature set
    63 Answers
    67%
    Happy with the feature set
    6 Answers
    Lived up to sales and marketing promises
    100%
    Lived up to sales and marketing promises
    42 Answers
    67%
    Lived up to sales and marketing promises
    4 Answers
    Implementation went as expected
    100%
    Implementation went as expected
    59 Answers
    71%
    Implementation went as expected
    5 Answers
    Features
    Google BigQueryYellowfin
    Database-as-a-Service
    Comparison of Database-as-a-Service features of Google BigQuery and Yellowfin
    Feature
    Google BigQuery
    8.5
    80 Ratings
    1% above category average
    Yellowfin
    -
    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 Yellowfin
    Feature
    Google BigQuery
    -
    Ratings
    Yellowfin
    7.6
    15 Ratings
    6% above category average
    Pixel Perfect reports00 Ratings6.78 Ratings
    Customizable dashboards00 Ratings8.415 Ratings
    Report Formatting Templates00 Ratings7.613 Ratings
    Ad-hoc Reporting
    Comparison of Ad-hoc Reporting features of Google BigQuery and Yellowfin
    Feature
    Google BigQuery
    -
    Ratings
    Yellowfin
    8.2
    15 Ratings
    5% above category average
    Drill-down analysis00 Ratings8.614 Ratings
    Formatting capabilities00 Ratings8.715 Ratings
    Report sharing and collaboration00 Ratings8.614 Ratings
    Data Discovery and Visualization
    Comparison of Data Discovery and Visualization features of Google BigQuery and Yellowfin
    Feature
    Google BigQuery
    -
    Ratings
    Yellowfin
    7.1
    15 Ratings
    9% below category average
    Pre-built visualization formats (heatmaps, scatter plots etc.)00 Ratings7.115 Ratings
    Location Analytics / Geographic Visualization00 Ratings6.715 Ratings
    Predictive Analytics00 Ratings7.413 Ratings
    Access Control and Security
    Comparison of Access Control and Security features of Google BigQuery and Yellowfin
    Feature
    Google BigQuery
    -
    Ratings
    Yellowfin
    7.6
    14 Ratings
    0% below category average
    Multi-User Support (named login)00 Ratings7.314 Ratings
    Role-Based Security Model00 Ratings7.012 Ratings
    Multiple Access Permission Levels (Create, Read, Delete)00 Ratings7.013 Ratings
    Single Sign-On (SSO)00 Ratings8.96 Ratings
    Application Program Interfaces (APIs) / Embedding
    Comparison of Application Program Interfaces (APIs) / Embedding features of Google BigQuery and Yellowfin
    Feature
    Google BigQuery
    -
    Ratings
    Yellowfin
    6.4
    8 Ratings
    12% below category average
    REST API00 Ratings6.48 Ratings
    Javascript API00 Ratings6.18 Ratings
    iFrames00 Ratings7.37 Ratings
    Java API00 Ratings6.88 Ratings
    Customizable Platform (Open Source)00 Ratings6.06 Ratings
    Best Alternatives
    Google BigQueryYellowfin
    Small Businesses
    MongoDB Atlas
    Score7.8 out of 10
    GoodData.AI
    Score8.8 out of 10
    Medium-sized Companies
    Azure Database
    Score8.8 out of 10
    Reveal
    Score10 out of 10
    Enterprises
    Google Cloud SQL
    Score8.7 out of 10
    Microsoft Power BI Embedded
    Score8 out of 10
    All AlternativesView all alternativesView all alternatives
    User Ratings
    Google BigQueryYellowfin
    Likelihood to Recommend
    9.0
    (79 ratings)
    8.6
    (15 ratings)
    Likelihood to Renew
    8.1
    (5 ratings)
    -
    (0 ratings)
    Usability
    6.6
    (6 ratings)
    8.4
    (10 ratings)
    Availability
    7.3
    (1 ratings)
    9.1
    (1 ratings)
    Performance
    6.4
    (1 ratings)
    8.2
    (1 ratings)
    Support Rating
    4.8
    (11 ratings)
    5.6
    (7 ratings)
    In-Person Training
    -
    (0 ratings)
    9.1
    (1 ratings)
    Online Training
    -
    (0 ratings)
    8.2
    (1 ratings)
    Implementation Rating
    -
    (0 ratings)
    9.1
    (1 ratings)
    Configurability
    6.4
    (1 ratings)
    8.2
    (1 ratings)
    Contract Terms and Pricing Model
    10.0
    (1 ratings)
    -
    (0 ratings)
    Data Sharing and Collaboration
    -
    (0 ratings)
    8.1
    (6 ratings)
    Data Sources
    -
    (0 ratings)
    8.1
    (6 ratings)
    Ease of integration
    7.3
    (1 ratings)
    9.1
    (1 ratings)
    Product Scalability
    7.3
    (1 ratings)
    8.2
    (1 ratings)
    Professional Services
    8.2
    (2 ratings)
    -
    (0 ratings)
    Vendor post-sale
    -
    (0 ratings)
    9.1
    (1 ratings)
    Vendor pre-sale
    -
    (0 ratings)
    9.1
    (1 ratings)
    User Testimonials
    Google BigQueryYellowfin
    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
    Idera, Inc.
    We can recommend this software without hesitation, as it has the ability to generate reports and data analysis, as well as process the data automatically, which saves time. It is ideal for small and medium-sized companies that wish to improve their services in the business world
    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
    Idera, Inc.
    • Yellowfin’s Storyboard, Timeline and Collaborative tools make it easy to share data and insights across an organisation.
    • Strong Operational and Executive Dashboards that reflect the business KPIs and can send out prompts to people within the business based on rules.
    • Yellowfin makes it incredibly easy to create dynamic reports and dashboards which incorporate maps through locational intelligence functionality.
    • Yellowfin is a single license and all access is via a web browser making it perfect for both on-premise and cloud deployment. Mobile apps are also available.
    • User roles and source filtering allows Admin/IT to offer different functions/views by user group/role.
    • Mobile BI applications to support any device ..
    • API connectors ( YF 7.2 on the way in Mar16 ) for a range of third-party Web-based applications, data sources, Enterprises CRM/ERP apps & open data platform apps, including Salesforce, Google Analytics, Twitter, Youtube , Zoho CRM, XE.com & more coming to make endusers to integrate their applications for better benefits
    • Yellowfin Integration with Predictive analytical and Big Data processing tools like R, UDF, Spark to build rich applications for end users
    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
    Idera, Inc.
    • The ability to predefine a colour for a specific graph as a selection option dynamically.
    • The ability to customise the label of a chart, especially with respect to performance related reporting graphs we need an increase in dynamic charting options to meet our more specialised requirements.
    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
    Idera, Inc.
    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
    Idera, Inc.
    As mentioned previously, if a newer company is looking for a strong, polished BI tool, Yellowfin would be a great software vendor to consider. Unfortunately, the high cost might be a barrier to these newer companies who dont have any legacy software/agreements such as an EA agreement with Microsoft.
    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
    Idera, Inc.
    99.9% availability
    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
    Idera, Inc.
    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
    Idera, Inc.
    They have good support in what they provide. But what they provide is not what is promised. I would stay with them if I can. Be very careful before signing up with them. They are not what they seem in the sales pitches. Be very careful and make sure you test and test before you sign up.
    Read full review
    In-Person Training
    Google
    No answers on this topic
    Idera, Inc.
    Yellowfin provides 3 levels of training to support consumers, business analytics, developers and Administrations :
    1. Yellowfin BI Training - Level 1 (Exploration)
    2. Yellowfin BI Training - Level 2 (Advanced)
    3. Yellowfin BI Training - Level 3(Expert)
    Read full review
    Online Training
    Google
    No answers on this topic
    Idera, Inc.
    Web-based training for large audiences for Level 1 and Level 2 I would suggest
    Read full review
    Implementation Rating
    Google
    No answers on this topic
    Idera, Inc.
    Design the data model and views for each dashboard is very important and it is the success factor Configuration of cluster for large implementation
    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
    Idera, Inc.
    Yellow Fin platform is browser agnostic and is accessible from desktops as well as mobile devices. It is very simple and fast, it is integrated with Big Data, clients do not require a great training. It just works. But it’s easier to have things on the cloud, especially if you need to use different computers. Yellow Fin lacks the cloud feature.
    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
    Idera, Inc.
    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
    Idera, Inc.
    - Tested 500 con-current users in Linux platform with 4 cores systems - Tested with cloud based VM - Tested with 1000 reads per minutes
    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
    Idera, Inc.
    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
    Idera, Inc.
    • made our org more data centric
    • Decisions are made based on data vs opinion
    • has created a single source of truth for the bulk of the organization
    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.

    Yellowfin Screenshots

    Screenshot of Location IntelligenceScreenshot of Yellowfin DashboardScreenshot of Yellowfin SignalsScreenshot of Yellowfin MobileScreenshot of Yellowfin Sales KPIs