Big Data is a growing cloud-based BI software, it is designed to support medium and large size business. Big Data received a rating of 4.7 from ITQlick team. The software cost is considered average (3.3/5) whe...
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Big Data is more expensive to implement (TCO) than MongoDB, and MongoDB is rated higher (91/100) than Big Data (58/100). MongoDB offers users more features (3) than Big Data (0). There is a clear winner in this case and it is MongoDB!
Looking for the right Big data solution for your business? Buyers are primarily concerned about the real total cost of implementation (TCO), the full list of features, vendor reliability, user reviews, and the pros and cons. In this article we compare between the two software products:
Pentaho: Pentaho offers a suite of open source Business Intelligence (BI) products called Pentaho Business Analytics providing data integration, OLAP services, reporting, dashboarding, data mining and ETL capabilities.
10gen: 10gen is the company behind MongoDB, the leading NoSQL database. MongoDB is the open-source, document database that is reshaping the market due to the popularity of its agile and scalable approach among developers and IT professionals. 10gen leads MongoDB development, supports the large and growing MongoDB community, provides commercial subscriptio...
The real total cost of ownership (TCO) of Big data software includes the software license, subscription fees, software training, customizations, hardware (if needed), maintenance and support and other related services. When calculating the TCO, it's important to add all of these ”hidden costs” as well. We prepared a TCO (Total Cost) calculator for Big Data and MongoDB.
Big Data accurate pricing info is available upon request (they don't share it publicly), however , On a scale between 1 to 10 Big Data is rated 6, which is similar to the average cost of Big data software. MongoDB price starts at $57 per month , When comparing MongoDB to its competitors, the software is rated 2 - much lower than the average Big data software cost.
Bottom line: Big Data is more expensive than MongoDB.
We've compared Big Data Vs. MongoDB based on some of the most important and required Big data features.
Big Data: We are still working to collect the list of features for Big Data.
MongoDB: Data Import/Export, Basic Reports, Online Customer Support.
Big Data's typical customers include: Medium and large size businesses, and MongoDB's target customer size include: Medium business, Large business, Private use.
Big Data is a growing cloud-based BI software, it is designed to support medium and large size business. Big Data received a rating of 4.7 from ITQlick team. The software cost is considered average (3.3/5) whe...
Compare Pricingstarts at $57 per month
MongoDB software is a cloud-based NoSQL database as a service solution which allows businesses to operate from anywhere since it can be accessed, scaled, and deployed through the cloud. The platform assists in ...
Compare PricingITQlick Score: | 58/100 |
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ITQlick Rating: |
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Pricing: | 6/10 - average cost |
Category: | Big data -> Big Data review |
Company: | Pentaho |
Typical customers: | Medium and large size businesses |
Platforms: | Desktop, Cloud |
Links: | Big Data review, Big Data pricing, Big Data alternatives |
ITQlick Score: | 91/100 |
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ITQlick Rating: |
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Pricing: | 2/10 - low cost |
Category: | Big data -> MongoDB review |
Company: | 10gen |
Pricing: | starts at $57 per month |
Typical customers: | Medium business, Large business, Private use |
Platforms: | Desktop, Cloud |
Links: | MongoDB review, MongoDB pricing, MongoDB alternatives |
Shlomi Lavi is an entrepreneur and founder of ITQlick.com. He holds a Bachelor of Science (B.Sc.) in Information Systems Engineering from Ben Gurion University in Israel. Shlomi brings 17 years of global IT and IS management experience as a consultant and implementation expert for small, medium and large-sized (global) companies. Shlomi’s goal is to share the best knowledge and news about information systems so you can make smarter buying decisions for your business.