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Google BigQuery vs. SAP BPC (Business Planning and Consolidation)

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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 BPC (Business Planning and Consolidation)

    Score8.3 out of 10
    N/AThe SAP BPC software is designed to help users plan and achieve a faster, more accurate close. The SAP BPC software aims to help users spend more time growing their business and less time closing books. The vendor’s value proposition is that their software delivers planning, budgeting, forecasting, and financial consolidation capabilities in a single application. This, in turn, enables them to easily adjust plans and forecasts, speed up budget and closing cycles, and ensure compliance with…N/A
    Pricing
    Google BigQuerySAP BPC (Business Planning and Consolidation)
    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 BigQuerySAP BPC (Business Planning and Consolidation)
    Free Trial
    YesNo
    Free/Freemium Version
    YesNo
    Premium Consulting/Integration Services
    NoYes
    Entry-level Setup FeeNo setup feeNo setup fee
    Additional Details
    More Pricing Information
    Community Pulse
    Google BigQuerySAP BPC (Business Planning and Consolidation)
    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
    No answers on this topic
    Delivers good value for the price
    97%
    Delivers good value for the price
    56 Answers
    No answers on this topic
    Happy with the feature set
    97%
    Happy with the feature set
    63 Answers
    No answers on this topic
    Lived up to sales and marketing promises
    100%
    Lived up to sales and marketing promises
    42 Answers
    No answers on this topic
    Implementation went as expected
    100%
    Implementation went as expected
    59 Answers
    No answers on this topic
    Features
    Google BigQuerySAP BPC (Business Planning and Consolidation)
    Database-as-a-Service
    Comparison of Database-as-a-Service features of Google BigQuery and SAP BPC (Business Planning and Consolidation)
    Feature
    Google BigQuery
    8.5
    80 Ratings
    1% above category average
    SAP BPC (Business Planning and Consolidation)
    -
    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
    Budgeting, Planning, and Forecasting
    Comparison of Budgeting, Planning, and Forecasting features of Google BigQuery and SAP BPC (Business Planning and Consolidation)
    Feature
    Google BigQuery
    -
    Ratings
    SAP BPC (Business Planning and Consolidation)
    7.8
    41 Ratings
    3% below category average
    Long-term financial planning00 Ratings7.535 Ratings
    Financial budgeting00 Ratings8.137 Ratings
    Forecasting00 Ratings7.840 Ratings
    Scenario modeling00 Ratings7.336 Ratings
    Management reporting00 Ratings8.140 Ratings
    Consolidation and Close
    Comparison of Consolidation and Close features of Google BigQuery and SAP BPC (Business Planning and Consolidation)
    Feature
    Google BigQuery
    -
    Ratings
    SAP BPC (Business Planning and Consolidation)
    7.3
    40 Ratings
    6% below category average
    Financial data consolidation00 Ratings8.436 Ratings
    Journal entries and reports00 Ratings7.330 Ratings
    Multi-currency management00 Ratings6.928 Ratings
    Intercompany Eliminations00 Ratings6.930 Ratings
    Minority Ownership00 Ratings7.020 Ratings
    Local and consolidated reporting00 Ratings6.433 Ratings
    Detailed Audit Trails00 Ratings8.227 Ratings
    Financial Reporting and Compliance
    Comparison of Financial Reporting and Compliance features of Google BigQuery and SAP BPC (Business Planning and Consolidation)
    Feature
    Google BigQuery
    -
    Ratings
    SAP BPC (Business Planning and Consolidation)
    7.3
    40 Ratings
    11% below category average
    Financial Statement Reporting00 Ratings8.035 Ratings
    Management Reporting00 Ratings7.240 Ratings
    Excel-based Reporting00 Ratings7.539 Ratings
    Automated board and financial reporting00 Ratings6.430 Ratings
    Analytics and Reporting
    Comparison of Analytics and Reporting features of Google BigQuery and SAP BPC (Business Planning and Consolidation)
    Feature
    Google BigQuery
    -
    Ratings
    SAP BPC (Business Planning and Consolidation)
    5.6
    36 Ratings
    30% below category average
    Personalized dashboards00 Ratings5.024 Ratings
    Color-coded scorecards00 Ratings6.922 Ratings
    KPIs00 Ratings3.031 Ratings
    Cost and profitability analysis00 Ratings7.628 Ratings
    Key Performance Indicator setting00 Ratings4.024 Ratings
    Benchmarking with external data00 Ratings7.018 Ratings
    Integration
    Comparison of Integration features of Google BigQuery and SAP BPC (Business Planning and Consolidation)
    Feature
    Google BigQuery
    -
    Ratings
    SAP BPC (Business Planning and Consolidation)
    6.4
    39 Ratings
    23% below category average
    Flat file integration00 Ratings6.935 Ratings
    Excel data integration00 Ratings6.837 Ratings
    Direct links to 3rd-party data sources00 Ratings5.425 Ratings
    Best Alternatives
    Google BigQuerySAP BPC (Business Planning and Consolidation)
    Small Businesses
    MongoDB Atlas
    Score7.8 out of 10
    No answers on this topic
    Medium-sized Companies
    Azure Database
    Score8.8 out of 10
    IBM Planning Analytics
    Score8.5 out of 10
    Enterprises
    Google Cloud SQL
    Score8.7 out of 10
    Oracle Fusion Cloud Enterprise Performance Management
    Score7.2 out of 10
    All AlternativesView all alternativesView all alternatives
    User Ratings
    Google BigQuerySAP BPC (Business Planning and Consolidation)
    Likelihood to Recommend
    9.0
    (79 ratings)
    7.4
    (41 ratings)
    Likelihood to Renew
    8.1
    (5 ratings)
    7.0
    (1 ratings)
    Usability
    6.6
    (6 ratings)
    9.0
    (2 ratings)
    Availability
    7.3
    (1 ratings)
    9.0
    (1 ratings)
    Performance
    6.4
    (1 ratings)
    7.0
    (1 ratings)
    Support Rating
    4.8
    (11 ratings)
    7.0
    (1 ratings)
    In-Person Training
    -
    (0 ratings)
    9.0
    (1 ratings)
    Online Training
    -
    (0 ratings)
    9.0
    (1 ratings)
    Implementation Rating
    -
    (0 ratings)
    8.0
    (1 ratings)
    Configurability
    6.4
    (1 ratings)
    8.0
    (1 ratings)
    Contract Terms and Pricing Model
    10.0
    (1 ratings)
    -
    (0 ratings)
    Ease of integration
    7.3
    (1 ratings)
    6.7
    (39 ratings)
    Product Scalability
    7.3
    (1 ratings)
    9.0
    (1 ratings)
    Professional Services
    8.2
    (2 ratings)
    -
    (0 ratings)
    Vendor post-sale
    -
    (0 ratings)
    8.0
    (1 ratings)
    Vendor pre-sale
    -
    (0 ratings)
    8.0
    (1 ratings)
    User Testimonials
    Google BigQuerySAP BPC (Business Planning and Consolidation)
    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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    SAP
    SAP BPC (Business Planning and Consolidation) overall is a good package and has helped improve our reporting a lot whilst also making it more efficient due to the reliability of data input / output. There are limitations like graphs being so limited in functionality and reports failing when too much data being processed however i would recommend to others.
    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
    • SAP BPC is real time data. You can send information into the system and see it reflected in your reports immediately. Other systems may require a manual push into a reporting system.
    • SAP BPC is a shared reporting tool, so multiple users can be working in a model/environment at the same time, real time. This is especially helpful if your workbooks incorporated multiple processes requiring multiple users to get into the same model.
    • SAP BPC is a powerful tool designed to help all facets of the company, from cash flow to capital expenditures to headcount management to financial planning to consolidation.
    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
    Read full review
    SAP
    • SAP should focus on delivering one single product for planning, consolidation and budgeting needs rather than providing a large list of options to choose from.
    • The product is not very user-friendly compared to other cloud competitors. There is a heavy dependency on IT teams.
    • SAP BPC should come up a pure cloud option.
    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
    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
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    SAP
    Unlike other SAP traditional products, SAP BPC was meant to be simple and familiar to financial users
    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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    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
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    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
    We need a big support team with various skillset like BPC, ABAP, BW, HANA, FICO etc
    Incentivized
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    In-Person Training
    Google
    No answers on this topic
    SAP
    SAP BPC training content and trainers are very good. The training is structured and provides a very good understanding of the product features and functionalities. I attended 6 separate training sessions of week-long or more. I had very good experience in all the sessions. The training is organized very well.
    Incentivized
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    Online Training
    Google
    No answers on this topic
    SAP
    SAP Training contents are very good, informative and exhaustive.
    Incentivized
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    Implementation Rating
    Google
    No answers on this topic
    SAP
    The implementation was carried out in two phases spread over a period of 4 years with 2 upgrades in between. We also had multiple upgrades to HANA.
    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
    With Hyperion we struggled as it didn’t have integrated planning and consolidation, whereas BPC does have it. BPC is easier for reporting as it is Excel-based. Also BPC has prepackaged business process flows that helped a lot. Hyperion on the other hand has a faster response time for user queries or report generation.
    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
    • When originally implemented (as the predecessor product Outlooksoft) BPC took ASU from trying to budget and forecast for a 2B enterprise out of spreadsheets and into a far more consolidated tool. It has saved us considerable time over the years and paid for itself several times over.
    • BPC also allows us to present our budget in multiple different views to support management, board and departmental reporting.
    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 BPC (Business Planning and Consolidation) Screenshots

    Screenshot of SAP BPC Home ScreenScreenshot of SAP BPC Web ClientScreenshot of SAP BPC DashboardScreenshot of SAP BPC Web Report