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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 Ariba

    Score7.9 out of 10
    N/AWith advanced tools to automate manual processes and support close collaboration with suppliers, SAP Ariba helps streamline source-to-pay processes across organizations.N/A
    Pricing
    Google BigQuerySAP Ariba
    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 Ariba
    Free Trial
    YesNo
    Free/Freemium Version
    YesYes
    Premium Consulting/Integration Services
    NoYes
    Entry-level Setup FeeNo setup feeOptional
    Additional Details——
    More Pricing Information
    Features
    Google BigQuerySAP Ariba
    Database-as-a-Service
    Comparison of Database-as-a-Service features of Google BigQuery and SAP Ariba
    Feature
    Google BigQuery
    8.5
    80 Ratings
    1% above category average
    SAP Ariba
    -
    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
    Best Alternatives
    Google BigQuerySAP Ariba
    Small Businesses
    MongoDB Atlas
    Score7.8 out of 10
    No answers on this topic
    Medium-sized Companies
    Azure Database
    Score8.8 out of 10
    Precoro
    Score9.5 out of 10
    Enterprises
    Google Cloud SQL
    Score8.7 out of 10
    GEP Quantum Intelligence
    Score9.1 out of 10
    All AlternativesView all alternativesView all alternatives
    User Ratings
    Google BigQuerySAP Ariba
    Likelihood to Recommend
    9.0
    (79 ratings)
    7.8
    (246 ratings)
    Likelihood to Renew
    8.1
    (5 ratings)
    8.1
    (9 ratings)
    Usability
    6.6
    (6 ratings)
    7.7
    (198 ratings)
    Availability
    7.3
    (1 ratings)
    -
    (0 ratings)
    Performance
    6.4
    (1 ratings)
    -
    (0 ratings)
    Support Rating
    4.8
    (11 ratings)
    5.5
    (21 ratings)
    Implementation Rating
    -
    (0 ratings)
    7.3
    (1 ratings)
    Configurability
    6.4
    (1 ratings)
    -
    (0 ratings)
    Contract Terms and Pricing Model
    10.0
    (1 ratings)
    -
    (0 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 BigQuerySAP Ariba
    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
    If asked about SAP Ariba, I think I am likely to tell a colleague that A specific scenario would be to use SAP Ariba with an Agent to migrate the legacy contracts when a company has rolled out from scratch.
    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
    • Complete Procurement of Inventory step easy through GUI-Ariba integration once Purchase order is created and it is sent to the SAP Ariba Supplier Network. Vendor confirms the order and sends notification of Inbound Delivery to the warehouse through ASN and the Inbound process, Goods Receipt Process, Unloading, Put away process easy.
    • SAP Ariba integrates the different SAP Sourcing platforms, services and their tools in order to optimize operations, saves cost and meeting customer requirements through its easy to use tools. Such as integration with SAP S/4 HANA, SAP EWM using Idocs for End to End sourcing and Procurement coverage.
    • As a part of the SAP Direct Sourcing suite, it helps allow customer manage their direct materials in the single dashboard and helping customer to have view of the comprehensive info about BoM and the structure. Based on requirements, buyers can run materials and/or entire Bill of Materials. When these are sent from ERP to SAP Ariba, managers can manage them in the direct spend dashboard. Can search for desired items in the dashboard and view details of BoM or deeper view of information of the material. Buyers can run sourcing, run details for materials, create material quotes, and create pricing using book quotes.
    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
    • While SAP Ariba offers workflow capabilities, users have suggested more advanced customization options for workflows
    • SAP Ariba has a mobile app, users have suggested improvements in terms of functionality and responsiveness. Enhancements to the mobile app could provide a more seamless and efficient experience for users on the go
    • SAP Ariba integrates well with various enterprise systems, users have reported that the initial setup and integration processes can be complex. Improvements in integration tools and documentation could facilitate a smoother onboarding experience
    • AP Ariba provides robust reporting and analytics capabilities, some users desire greater flexibility in creating and customizing reports. Improvements in the ability to generate ad-hoc reports and customize dashboards could enhance analytics capabilities
    Incentivized
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    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
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    SAP
    User Satisfaction: The end user are at times not very happy with the solution. Return on Investment (ROI): SAP Ariba delivered measurable benefits in terms of cost savings, efficiency. Integration Capabilities: The system is easy to integrate with backend SAP ERP system. Support from Ariba team is a bit sluggish in terms of Service Requests
    Incentivized
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    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
    Feel that over the years, there has been good improvement, and it seems like going in the right direction. All procurement activities — sourcing, contracting, invoicing — are managed in one place, reducing the need to switch between multiple systems. Users can easily track purchase orders, supplier responses, and invoice status, which adds clarity and accountability. The supplier-facing side is well-structured, allowing vendors to upload documents, view transactions, and communicate within the same interface.
    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
    Customer support has always been top notch. From small configuration changes to overall process changes, support has the teammates in place with excellent knowledge and is able to provide solutions based on business challenges quickly. Their customer support through their Account teams continues to be hands on and very responsive to needs in a timely fashion.
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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
    It improves over all vendor management system of an organization by providing less costly ways of procurement and making business simple. AribaSAP Ariba digitally transforms your supply chain, procurement and contract management process. acts as supply chain, procurement service to do business globally In today’s world, there is a need to control your supply chain and to collaborate with your suppliers in an efficient way. To enable healthy supply chain, you need to have suppliers with visibility to every part of procurement process so that they can maintain an efficient supply chain and help organizations to grow their and own business..
    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.
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    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
    • We saved nearly 10% of planned costs due to the large database of vendors we created within the company as a whole.
    • Saving in time due to shortening of procurement cycles. Procurement activities were never on the critical path and were accomplished with less Supply Chain resources than originally planned.
    • In the process we created a huge database of Vendors and Pricing which well be beneficial in our future projects.
    • It is an excellent tool and just what are business required and could afford.
    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.

    SAP Ariba Screenshots

    Screenshot of the advanced tools that automate manual processes and support close collaboration with suppliers. The SAP Ariba Buying and Invoicing solution help streamline procure-to-pay processes across organizations.Screenshot of SAP Ariba's digitalization, which covers processes from contract requests, authoring, and workflows to negotiation, approval, and execution for lower costs and improved relationships.Screenshot of an instance of SAP Ariba's support for industry-specific processes and systems. This helps process manufacturers, retailers, and discrete manufacturers that rely on external manufacturers to capture more savings by improving source-to-contract processes and supplier collaboration.Screenshot of the digitalizing and automating of invoice management over a global business network, in SAP Ariba. This delivers visibility and efficiency to capture more early-payment discounts and optimize working capital.