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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)

    SAP Crystal

    Score7.1 out of 10
    N/ASAP Crystal is an analytics and reporting software solution for SMBs. SAP Crystal comprises Crystal Reports for pixel-perfect reporting, and SAP Crystal Server for automated distribution and self-service access to reports, dashboards and data exploration.

    $295

    per single user license

    Pricing
    Google BigQuerySAP Crystal
    Editions & Modules
    Standard edition
    $0.04 / slot hour
    Enterprise edition
    $0.06 / slot hour
    Enterprise Plus edition
    $0.10 / slot hour
    Upgrade Version to SAP Crystal Reports 2020
    $295
    per single user license
    SAP Crystal Reports 2020 64-Bit
    $495
    per single user license
    SAP Crystal Reports 2016 32-Bit
    $495
    per single user license
    SAP Crystal Server 2020 1 NUL
    $869
    per user license + first year maintenance to be added
    SAP Crystal Server 2020 5 CAL
    $8,744
    5 concurrent users + first year maintenance to be added
    Offerings
    Pricing Offerings
    Google BigQuerySAP Crystal
    Free Trial
    YesYes
    Free/Freemium Version
    YesYes
    Premium Consulting/Integration Services
    NoYes
    Entry-level Setup FeeNo setup feeOptional
    Additional Details—* SAP Crystal Reports 2020 Viewer allows you to view static data within a SAP Crystal Reports file. * SAP Crystal Reports 2020 - Full version allows you to create powerful, richly formatted, and dynamic reports from virtually any data source, delivered in dozens of formats, in up to 28 languages. If you already have an older version of Crystal Reports, buy a license for SAP Crystal Reports 2020 - Upgrade at a discounted, upgrade price. * SAP Crystal Server 2020, 1 NUL includes 1 license of: SAP Crystal Reports 2020 - SAP Crystal Server 2020. * As an add-on to SAP Crystal Server 2020 1 NUL, SAP Crystal Server 2020 5 CAL allows you to support a wider, intermittent audience of end users, up to five logged on at the same time.
    More Pricing Information
    Community Pulse
    Google BigQuerySAP Crystal
    Considered Both Products
    Google
    No answer on this topic
    SAP
    No answer on this topic
    Key User Insights
    Would buy again
    98%
    Would buy again
    64 Answers
    91%
    Would buy again
    10 Answers
    Delivers good value for the price
    97%
    Delivers good value for the price
    56 Answers
    100%
    Delivers good value for the price
    10 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
    100%
    Lived up to sales and marketing promises
    6 Answers
    Implementation went as expected
    100%
    Implementation went as expected
    59 Answers
    90%
    Implementation went as expected
    9 Answers
    Features
    Google BigQuerySAP Crystal
    Database-as-a-Service
    Comparison of Database-as-a-Service features of Google BigQuery and SAP Crystal
    Feature
    Google BigQuery
    8.5
    80 Ratings
    1% above category average
    SAP Crystal
    -
    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 SAP Crystal
    Feature
    Google BigQuery
    -
    Ratings
    SAP Crystal
    7.7
    124 Ratings
    6% below category average
    Pixel Perfect reports00 Ratings8.0113 Ratings
    Customizable dashboards00 Ratings6.7100 Ratings
    Report Formatting Templates00 Ratings8.4117 Ratings
    Ad-hoc Reporting
    Comparison of Ad-hoc Reporting features of Google BigQuery and SAP Crystal
    Feature
    Google BigQuery
    -
    Ratings
    SAP Crystal
    8.3
    136 Ratings
    4% above category average
    Drill-down analysis00 Ratings9.0117 Ratings
    Formatting capabilities00 Ratings8.8135 Ratings
    Integration with R or other statistical packages00 Ratings6.964 Ratings
    Report sharing and collaboration00 Ratings8.6120 Ratings
    Report Output and Scheduling
    Comparison of Report Output and Scheduling features of Google BigQuery and SAP Crystal
    Feature
    Google BigQuery
    -
    Ratings
    SAP Crystal
    8.7
    136 Ratings
    6% above category average
    Publish to Web00 Ratings9.191 Ratings
    Publish to PDF00 Ratings9.4133 Ratings
    Report Versioning00 Ratings7.994 Ratings
    Report Delivery Scheduling00 Ratings8.997 Ratings
    Delivery to Remote Servers00 Ratings8.454 Ratings
    Data Discovery and Visualization
    Comparison of Data Discovery and Visualization features of Google BigQuery and SAP Crystal
    Feature
    Google BigQuery
    -
    Ratings
    SAP Crystal
    7.6
    89 Ratings
    5% below category average
    Pre-built visualization formats (heatmaps, scatter plots etc.)00 Ratings7.650 Ratings
    Location Analytics / Geographic Visualization00 Ratings7.576 Ratings
    Predictive Analytics00 Ratings7.841 Ratings
    Access Control and Security
    Comparison of Access Control and Security features of Google BigQuery and SAP Crystal
    Feature
    Google BigQuery
    -
    Ratings
    SAP Crystal
    8.5
    88 Ratings
    0% above category average
    Multi-User Support (named login)00 Ratings8.481 Ratings
    Role-Based Security Model00 Ratings8.480 Ratings
    Multiple Access Permission Levels (Create, Read, Delete)00 Ratings8.480 Ratings
    Report-Level Access Control00 Ratings8.43 Ratings
    Single Sign-On (SSO)00 Ratings8.940 Ratings
    Mobile Capabilities
    Comparison of Mobile Capabilities features of Google BigQuery and SAP Crystal
    Feature
    Google BigQuery
    -
    Ratings
    SAP Crystal
    6.6
    65 Ratings
    16% below category average
    Responsive Design for Web Access00 Ratings6.163 Ratings
    Mobile Application00 Ratings5.946 Ratings
    Dashboard / Report / Visualization Interactivity on Mobile00 Ratings6.060 Ratings
    Application Program Interfaces (APIs) / Embedding
    Comparison of Application Program Interfaces (APIs) / Embedding features of Google BigQuery and SAP Crystal
    Feature
    Google BigQuery
    -
    Ratings
    SAP Crystal
    7.8
    45 Ratings
    1% above category average
    REST API00 Ratings7.48 Ratings
    Javascript API00 Ratings8.437 Ratings
    iFrames00 Ratings7.18 Ratings
    Java API00 Ratings8.437 Ratings
    Themeable User Interface (UI)00 Ratings7.439 Ratings
    Customizable Platform (Open Source)00 Ratings8.433 Ratings
    Best Alternatives
    Google BigQuerySAP Crystal
    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
    Jaspersoft Community Edition
    Score7 out of 10
    All AlternativesView all alternativesView all alternatives
    User Ratings
    Google BigQuerySAP Crystal
    Likelihood to Recommend
    9.0
    (79 ratings)
    6.7
    (159 ratings)
    Likelihood to Renew
    8.1
    (5 ratings)
    10.0
    (19 ratings)
    Usability
    6.6
    (6 ratings)
    7.1
    (31 ratings)
    Availability
    7.3
    (1 ratings)
    8.0
    (1 ratings)
    Performance
    6.4
    (1 ratings)
    8.0
    (1 ratings)
    Support Rating
    4.8
    (11 ratings)
    8.6
    (21 ratings)
    In-Person Training
    -
    (0 ratings)
    10.0
    (1 ratings)
    Implementation Rating
    -
    (0 ratings)
    8.8
    (14 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)
    8.8
    (124 ratings)
    Data Sources
    -
    (0 ratings)
    9.2
    (129 ratings)
    Ease of integration
    7.3
    (1 ratings)
    7.0
    (1 ratings)
    Product Scalability
    7.3
    (1 ratings)
    7.0
    (1 ratings)
    Professional Services
    8.2
    (2 ratings)
    -
    (0 ratings)
    Vendor post-sale
    -
    (0 ratings)
    8.0
    (1 ratings)
    Vendor pre-sale
    -
    (0 ratings)
    7.0
    (1 ratings)
    User Testimonials
    Google BigQuerySAP Crystal
    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
    SAP
    Generation of templated reports is the strong suit of SAP Crystal. Allows users to change formats in templates bases on requirement with minimal effort. Automated report delivery requires the user to be aware of sql which cannot be expected from all users. Should support more document export formats and improve the UI for SAP B1 Users
    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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    SAP
    • Crystal Reports allows us to create a consistent template for all of our reports.
    • Crystal Reports and Server allows us to house a repository for all of our reports to make them easy to find and update when necessary.
    • Crystal Reports can connect to a wide variety of data sources.
    • Crystal Reports can be a little daunting when first implementing. There are a lot of nuances in learning how to truly master this software and it can be frustrating at times.
    Incentivized
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    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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    SAP
    • The export of reports to Excel is very cumbersome and the results are difficult to format.
    • The design of reports and the graphical features (e.g. charts) feel quite rigid.
    • The learning curve for a non-programmer is incredibly steep, making Crystal a specialty tool.
    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
    SAP
    We have been using this product for so many years and it has truly become a cornerstone to our business processes when it comes to developing and distributing information via reports. We currently have over 500 reports developed to date over about 30 systems and that will continue to grow as user needs change.
    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
    SAP
    Crystal is very robust, but not always easy to use. It create wonderful looking reports, and so deserves a high rating. However, I have to take a couple of points off for the simple fact that I cannot hand it to a user and expect them to be able to do development with it.
    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
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    SAP
    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
    SAP
    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
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    SAP
    The support community can be difficult to navigate. I've also run into issues with my login. The SAP system has a bizarre mechanism for validating users that requires users to have what is called an S-ID. A basic ID may not give you access to all the features in the portal. The limitation may include not being able to perform a simple task like downloading patches and updates. This isn't a big deal for single user license but for teams it can be a pain.
    Incentivized
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    In-Person Training
    Google
    No answers on this topic
    SAP
    Trainer was patient and thorough in going through the basics and willing to answer questions by email after the initial training
    Incentivized
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    Implementation Rating
    Google
    No answers on this topic
    SAP
    Just like any other implementation: When designing the differing reports, get end users' input, make sure to design the reports so that they display the information that the company requires, in the best and clearest way possible.
    Test, test, test, revise when needed, and, particularly, do sufficient training so users are comfortable using Crystal Reports!
    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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    SAP
    Crystal reports is useful in case we want to import data from data base . We can write queries in it but Google Charts require to be implemented in our application using code so crystal reports is better than Google Charts.
    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
    SAP
    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
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    SAP
    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
    SAP
    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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    SAP
    • It is a decent buy for specific departments in terms of reporting capabilities but updates and cost (frequent) demands are higher with the benefits offered.
    • So long as the requirements are not ever changing, with scheduling functionality, it's a handsome tool.
    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.

    SAP Crystal Screenshots

    Screenshot of Pixel-perfect reporting solutionScreenshot of Refresh with a clickScreenshot of Build pixel-perfect documentsScreenshot of Connect to all data sourcesScreenshot of Use drag and dropScreenshot of Build interactive reports