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    Overview
    ProductRatingMost Used ByProduct SummaryStarting Price

    MongoDB

    Score8.8 out of 10
    N/AMongoDB is an open source document-oriented database system. It is part of the NoSQL family of database systems. Instead of storing data in tables as is done in a "classical" relational database, MongoDB stores structured data as JSON-like documents with dynamic schemas (MongoDB calls the format BSON), making the integration of data in certain types of applications easier and faster.

    $0.10

    million reads

    SAP BW/4HANA

    Score8.3 out of 10
    N/ASAP BW/4HANA is a next-generation data warehouse solution. It is specifically designed to use the advanced in-memory capabilities of the SAP HANA platform. For example, SAP BW/HANA can integrate many different data sources to provide a single, logical view of all the data. This could include data contained in SAP and non-SAP applications running on-premise or in the cloud, and data lakes, such as those contained in the Apache Hadoop open-source software framework. With SAP BW/4HANA,…N/A
    Pricing
    MongoDBSAP BW/4HANA
    Editions & Modules
    Shared
    $0
    per month
    Serverless
    $0.10million reads
    million reads
    Dedicated
    $57
    per month
    No answers on this topic
    Offerings
    Pricing Offerings
    MongoDBSAP BW/4HANA
    Free Trial
    YesNo
    Free/Freemium Version
    YesNo
    Premium Consulting/Integration Services
    NoYes
    Entry-level Setup FeeNo setup feeOptional
    Additional DetailsFully managed, global cloud database on AWS, Azure, and GCP—
    More Pricing Information
    Features
    MongoDBSAP BW/4HANA
    NoSQL Databases
    Comparison of NoSQL Databases features of MongoDB and SAP BW/4HANA
    Feature
    MongoDB
    10.0
    39 Ratings
    16% above category average
    SAP BW/4HANA
    -
    Ratings
    Performance10.039 Ratings00 Ratings
    Availability10.039 Ratings00 Ratings
    Concurrency10.039 Ratings00 Ratings
    Security10.039 Ratings00 Ratings
    Scalability10.039 Ratings00 Ratings
    Data model flexibility10.039 Ratings00 Ratings
    Deployment model flexibility10.038 Ratings00 Ratings
    Access Control and Security
    Comparison of Access Control and Security features of MongoDB and SAP BW/4HANA
    Feature
    MongoDB
    -
    Ratings
    SAP BW/4HANA
    9.2
    4 Ratings
    2% above category average
    Multi-User Support (named login)00 Ratings9.74 Ratings
    Multiple Access Permission Levels (Create, Read, Delete)00 Ratings9.74 Ratings
    Single Sign-On (SSO)00 Ratings9.74 Ratings
    Location-Based Data Governance00 Ratings8.04 Ratings
    Data Modeling
    Comparison of Data Modeling features of MongoDB and SAP BW/4HANA
    Feature
    MongoDB
    -
    Ratings
    SAP BW/4HANA
    9.7
    4 Ratings
    0% above category average
    Data model creation00 Ratings9.74 Ratings
    Data Exploration
    Comparison of Data Exploration features of MongoDB and SAP BW/4HANA
    Feature
    MongoDB
    -
    Ratings
    SAP BW/4HANA
    9.0
    3 Ratings
    13% above category average
    Visualization00 Ratings9.03 Ratings
    Data Warehouse
    Comparison of Data Warehouse features of MongoDB and SAP BW/4HANA
    Feature
    MongoDB
    -
    Ratings
    SAP BW/4HANA
    8.5
    4 Ratings
    1% below category average
    High-Volume Data Processing00 Ratings9.74 Ratings
    Data Warehouse Management00 Ratings10.04 Ratings
    Administrative Automation00 Ratings7.53 Ratings
    Self-Optimization00 Ratings7.03 Ratings
    Best Alternatives
    MongoDBSAP BW/4HANA
    Small Businesses
    IBM Cloudant
    Score7.4 out of 10
    No answers on this topic
    Medium-sized Companies
    IBM Cloudant
    Score7.4 out of 10
    Cloudera Enterprise Data Hub
    Score9 out of 10
    Enterprises
    IBM Cloudant
    Score7.4 out of 10
    Oracle Exadata
    Score9.8 out of 10
    All AlternativesView all alternativesView all alternatives
    User Ratings
    MongoDBSAP BW/4HANA
    Likelihood to Recommend
    10.0
    (79 ratings)
    9.7
    (12 ratings)
    Likelihood to Renew
    10.0
    (67 ratings)
    -
    (0 ratings)
    Usability
    10.0
    (15 ratings)
    9.7
    (5 ratings)
    Availability
    9.0
    (1 ratings)
    -
    (0 ratings)
    Support Rating
    9.6
    (13 ratings)
    9.7
    (7 ratings)
    Implementation Rating
    8.4
    (2 ratings)
    -
    (0 ratings)
    User Testimonials
    MongoDBSAP BW/4HANA
    Likelihood to Recommend
    MongoDB
    If asked by a colleague I would highly recommend MongoDB. MongoDB provides incredible flexibility and is quick and easy to set up. It also provides extensive documentation which is very useful for someone new to the tool. Though I've used it for years and still referenced the docs often. From my experience and the use cases I've worked on, I'd suggest using it anywhere that needs a fast, efficient storage space for non-relational data. If a relational database is needed then another tool would be more apt.
    Incentivized
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    SAP
    SAP BW/4HANA is certainly an excellent choice when it comes to setting up a data warehousing platform within a landscape of existing SAP systems ecosystem for realizing quick time to value and ROI over the long term. Many non-SAP analytics tools such as Power BI , Qlik also now offer connectors to leverage SAP BW/4HANA data as additional options to deploy third party visualization tools which make it a more open ended platform of choice. But with the future roadmap of SAP and industry in general being focused towards cloud based offerings (SAC and Datasphere) infused with AI capabilities one has to make a judicious choice among these depending on the use case, capabilities of platforms and existing systems landscape and the overall long term IT strategy. SAP BW/4HANA may not be a good platform of choice if starting a native greenfield data warehousing implementation with cloud first approach which would require data integration across SAP and Non-SAP sources and one should consider other SAP cloud offerings which however still have some time to reach a level of maturity as SAP BW/4HANA has reached over the years.
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    Pros
    MongoDB
    • Being a JSON language optimizes the response time of a query, you can directly build a query logic from the same service
    • You can install a local, database-based environment rather than the non-relational real-time bases such a firebase does not allow, the local environment is paramount since you can work without relying on the internet.
    • Forming collections in Mango is relatively simple, you do not need to know of query to work with it, since it has a simple graphic environment that allows you to manage databases for those who are not experts in console management.
    Incentivized
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    SAP
    • With ODP based extraction, SAP BW/4HANA does well to integrate the data from various source systems like S4HANA , S4C.
    • With composite providers having the ability to integrate HANA calculation views, we are able to make the best of use of both application layer and data base layer(HANA) for mixed modelling scenarios.
    • with data tiering optimization higher data volume are effectively handled as we have the option to control the amount of data that is being stored in HOT , Warm and cold storage. With data volume grows over the year, DTO comes in handy solution to automatically move the delta to appropriate area based on temporature.
    Incentivized
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    Cons
    MongoDB
    • An aggregate pipeline can be a bit overwhelming as a newcomer.
    • There's still no real concept of joins with references/foreign keys, although the aggregate framework has a feature that is close.
    • Database management/dev ops can still be time-consuming if rolling your own deployments. (Thankfully there are plenty of providers like Compose or even MongoDB's own Atlas that helps take care of the nitty-gritty.
    Incentivized
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    SAP
    • Better integration with HANA layer with BW/4HANA application
    • Flexibility to provide more secure API's to interact with non-sap Data bases
    • Integration with Gsheets as well like Excel(AFO) and introduce better reporting integration with various reporting tools.
    • Evolution to provide better data lake , data brick options like in BDC
    Incentivized
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    Likelihood to Renew
    MongoDB
    I am looking forward to increasing our SaaS subscriptions such that I get to experience global replica sets, working in reads from secondaries, and what not. Can't wait to be able to exploit some of the power that the "Big Boys" use MongoDB for.
    Incentivized
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    SAP
    No answers on this topic
    Usability
    MongoDB
    NoSQL database systems such as MongoDB lack graphical interfaces by default and therefore to improve usability it is necessary to install third-party applications to see more visually the schemas and stored documents. In addition, these tools also allow us to visualize the commands to be executed for each operation.
    Incentivized
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    SAP
    SAP BW/4HANA requires specialized skillsets around data warehouse modeling and the access to data, however the modeling capabilities are intuitive and have now become accessible to both SAP and non-SAP data warehouse specialists. This new model allows for Interchangeable skillsets and access to a broader pool of experts throughout the industry, as well as easier access to data.
    Incentivized
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    Support Rating
    MongoDB
    Finding support from local companies can be difficult. There were times when the local company could not find a solution and we reached a solution by getting support globally. If a good local company is found, it will overcome all your problems with its global support.
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    SAP
    SAP Max Attention and general support for SAP BW/4HANA is broadly available. Truth to be told, MaxAttention has a premium cost but brings great engineers. So this being an enterprise capability and extremely critical, we did not consider cost as the main factor since support works well. Just keep that in mind when making your selection.
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    Implementation Rating
    MongoDB
    While the setup and configuration of MongoDB is pretty straight forward, having a vendor that performs automatic backups and scales the cluster automatically is very convenient. If you do not have a system administrator or DBA familiar with MongoDB on hand, it's a very good idea to use a 3rd party vendor that specializes in MongoDB hosting. The value is very well worth it over hosting it yourself since the cost is often reasonable among providers.
    Incentivized
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    SAP
    No answers on this topic
    Alternatives Considered
    MongoDB
    We have [measured] the speed in reading/write operations in high load and finally select the winner = MongoDBWe have [not] too much data but in case there will be 10 [times] more we need Cassandra. Cassandra's storage engine provides constant-time writes no matter how big your data set grows. For analytics, MongoDB provides a custom map/reduce implementation; Cassandra provides native Hadoop support.
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    SAP
    SAP BW / 4HANA and SAP IQ are both used for warehouse; with quick consultations for business analysis and that allows us to obtain dashboards and KPIs efficiently. SAP IQ is columnar and SAP BW / 4HANA immemorial. SAP BW / 4HANA was selected for the response speed of the queries since it saves the information in cache.
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    Return on Investment
    MongoDB
    • Open Source w/ reasonable support costs have a direct, positive impact on the ROI (we moved away from large, monolithic, locked in licensing models)
    • You do have to balance the necessary level of HA & DR with the number of servers required to scale up and scale out. Servers cost money - so DR & HR doesn't come for free (even though it's built into the architecture of MongoDB
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    SAP
    • SAP BW/4HANA has been immensely helpful in eliminating alternate silos of data creation by business users thereby ensuring data integrity and consistency across the organization. The focus is now more on data analysis as opposed to data preparation in spreadsheets saving users hours of laborious manual work in collating data.
    • We have been able to quickly integrate and leverage data from multiple SAP systems into SAP BW/4HANA to drive holistic decision making within the organization including streamlining the month end close process using BPC.
    • Excel friendly reporting tools such as Analysis for Office have made it much easier for user adoption and training making change management much easier and change the culture within the organization.
    Incentivized
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    ScreenShots

    MongoDB Screenshots

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    SAP BW/4HANA Screenshots

    Screenshot of Next generation data warehousing with SAP BW/4HANA.Screenshot of SAP BW/4HANA user cockpit.Screenshot of Geolocation analytics in SAP BW/4HANA.Screenshot of Data modeling in SAP BW/4HANA.Screenshot of Modern user experience in SAP BW/4HANA.Screenshot of Monitor the performance of your business in real-time with SAP BW/4HANA.