What users are saying about
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Top Rated
314 Ratings

MongoDB

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Top Rated
314 Ratings
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Score 8.3 out of 100
210 Ratings
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Score 7.8 out of 100

Likelihood to Recommend

MongoDB

Mongo DB is better placed in large projects, with great scalability. It also allows you to work quite comfortably with projects based on programming languages such as javascript angular typescript C #. I believe that its performance is much better with the type of technologies that handle very logical, similar terms of programming. If we use languages like java php, for example, it is better to work with relational databases like postgres or mySql. Since this type of technology allows you to work better with database management frameworks much more agile for these environments, such as JPA, HIBERNATE, Oracle, I think they are much better with this type of architecture and programming languages.
Ronald Melendez | TrustRadius Reviewer

Oracle Data Warehouse

Including other products, Oracle is very specialized in business support. Choosing Oracle Data Warehouse would be a safe choice for an enterprise-level company (more than a thousand employees). Healthcare organizations may want to consider Oracle, as they are typically conservative with privacy and security issues with patient data. Although cloud-based systems are widely being adopted in the healthcare industry (such as population research or genomics), core data sets (such as patients' sensitive medical records) may be better stored with a home-grown data center and warehouse solution.
Anonymous | TrustRadius Reviewer

Feature Rating Comparison

NoSQL Databases

MongoDB
8.9
Oracle Data Warehouse
Performance
MongoDB
9.1
Oracle Data Warehouse
Availability
MongoDB
9.0
Oracle Data Warehouse
Concurrency
MongoDB
8.5
Oracle Data Warehouse
Security
MongoDB
8.2
Oracle Data Warehouse
Scalability
MongoDB
9.1
Oracle Data Warehouse
Data model flexibility
MongoDB
9.2
Oracle Data Warehouse
Deployment model flexibility
MongoDB
9.1
Oracle Data Warehouse

Pros

MongoDB

  • Easy to learn. When I picked up MongoDB for the first time, I had little background in database management or modeling. If you have a background in javascript (and JSON)... then you can figure out how to use MongoDB pretty fast.
  • Fast performance.
  • It's relatively easy to set up in certain environments because there are lots of ready-made solutions out there.
  • There's a lot of support in the existing ecosystem for it —, especially in the node.js realm.
  • Query syntax is pretty simple to grasp and utilize.
  • Aggregate functions are powerful.
  • Scaling options.
  • Documentation is quite good and versioned for each release.
Joshua Weaver | TrustRadius Reviewer

Oracle Data Warehouse

  • Able to handle very large data sizes efficiently from a performance, high availability and manageability perspective. This is accomplished through the Oracle Partitioning functionality. Partitioning allows large segments (tables, IOT index-organized tables, indexes) to be broken into smaller segments at the physical layer but treated as a whole at the logical layer.
  • Provides support for dual-format architecture through Oracle In-Memory functionality. Without any change to application code one can obtain in-memory performance. This functionality enables us to have the tables represented in both the row format and the column format using in-memory format. This is a huge boost for BI/analytic queries since the Oracle optimizer is able to intelligently choose the appropriate format.
  • Provision to materialize a subset of table data or table joins. This is through materialized views and the optimizer will rewrite the query against the base tables to make use of this materialized view. This provides a huge performance boost and is critical in VLDBs as in a data warehouse. The query rewrite is fully transparent to users.
  • Provides multiple compression capabilities. This is very useful not only for deducing the storage foot print but as well as increase performance at different layers of the infrastructure including query performance. The compression functionality can be applied against both structured and unstructured data.
  • With the advent of Engineered Systems (Exadata, Database Machine, SuperCluster) there are specific features and functionalities that can further boost the Oracle data warehouse. These are related to consolidation, Smart Scan, Storage Indexes, EHCC (Exadata hybrid columnar compression) and much more.
  • RAC - Real Application Clusters (with 2 or more nodes) provides functionality for high availability, performance and scaling as the work load increases. The parallelism is provided both within a node and as well as across nodes. If for any reason a node goes down the data warehouse is still available through other nodes and the running queries are transparently failed over to the surviving nodes.
Suresh Muddaveerappa | TrustRadius Reviewer

Cons

MongoDB

  • I love the idea of Map-Reduce native support in MongoDB. Admittedly I have not used it as much as I would like -- it always seems to trip me up.
  • Recent additions to the aggregation queries have helped reduce (no pun intended) my need to better wield the weapon that is Map-Reduce.
Jon Kern | TrustRadius Reviewer

Oracle Data Warehouse

  • Customer support isn't the best out there. We usually have to wait about an hour to get some form of assistance.
  • Pricing is a bit higher than many of its competitors such as AWS Redshift.
  • Tweaking features requires dedicated staff. Software is fairly advanced. Would be difficult to use for newcomers.
Anonymous | TrustRadius Reviewer

Likelihood to Renew

MongoDB

MongoDB 9.3
Based on 68 answers
This is a very convenient "go to" database for application CRUD operations. So many applications need to create, read, update, and delete records. Here's the trick though - as a product changes, the data does as well. Having a database that makes this process easy and avoids the need to manage a schema and migrations is extremely valuable.MongoDB may not be the tool for every need but it is often always a tool that gets used for some need or another.
Tom Maiaroto | TrustRadius Reviewer

Oracle Data Warehouse

No score
No answers yet
No answers on this topic

Usability

MongoDB

MongoDB 8.0
Based on 3 answers
I'm not a database expert by any means. But MongoDB has helped lower the barrier to entry in the world of full stack development. It has an expressive and easy to understand syntax and API. Additionally, their documentation is really quite detailed and easy to follow. Anyone with javascript experience should be able to work with it.
Joshua Weaver | TrustRadius Reviewer

Oracle Data Warehouse

No score
No answers yet
No answers on this topic

Support Rating

MongoDB

MongoDB 8.0
Based on 4 answers
I never had problems with the application. It complies with all the characteristics that the company specifies with this product.
Fernando Malave | TrustRadius Reviewer

Oracle Data Warehouse

No score
No answers yet
No answers on this topic

Implementation Rating

MongoDB

MongoDB 8.4
Based on 4 answers
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.
Tom Maiaroto | TrustRadius Reviewer

Oracle Data Warehouse

No score
No answers yet
No answers on this topic

Alternatives Considered

MongoDB

MongoDB was the most full-featured NoSQL database we evaluated - that offered atomic transactions at a document level, built-in HA & DR, open source, robust queries, and enterprise level support.Other platforms had specific parts of what we were looking for - MongoDB had it all.
Jeff Sherard | TrustRadius Reviewer

Oracle Data Warehouse

Oracle is, in my opinion, the top dog in this space. I feel like the other vendors are playing catch-up to where Oracle is right now. It is also likely the most expensive option out there.
Anonymous | TrustRadius Reviewer

Return on Investment

MongoDB

  • Much faster development time.
  • Price is fantastic compared to MSSQL when you consider OS costs and the entire package.
  • Only negative to me is the lack of DBA skills for it, due to it being a new player in the field. I feel like that will get better as time moves on however.
Joshua Austill | TrustRadius Reviewer

Oracle Data Warehouse

  • Very cost effective for large databases.
  • Very fast results on simple queries.
  • Analytical functionalities are of wide range, which makes it very cost effective.
  • For smaller businesses, it might be a great asset.
  • Some features are supposed to be bought separately, so one needs to consider this before licensing with Oracle DW.
Kartik Chavan | TrustRadius Reviewer

Screenshots

Oracle Data Warehouse

Pricing Details

MongoDB

General

Free Trial
Yes
Free/Freemium Version
Yes
Premium Consulting/Integration Services
Entry-level set up fee?
No

Oracle Data Warehouse

General

Free Trial
Free/Freemium Version
Premium Consulting/Integration Services
Entry-level set up fee?
No

Rating Summary

Likelihood to Recommend

MongoDB
8.9
Oracle Data Warehouse
6.4

Likelihood to Renew

MongoDB
9.3
Oracle Data Warehouse

Usability

MongoDB
8.0
Oracle Data Warehouse

Reliability and Availability

MongoDB
9.0
Oracle Data Warehouse

Support Rating

MongoDB
8.0
Oracle Data Warehouse

Implementation Rating

MongoDB
8.4
Oracle Data Warehouse

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