MongoDB vs. Oracle Exadata

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
MongoDB
Score 8.9 out of 10
N/A
MongoDB 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
Oracle Exadata
Score 9.8 out of 10
N/A
Oracle Exadata is an enterprise database platform that runs Oracle Database workloads of any scale and criticality with high performance, availability, and security. Exadata’s scale-out design employs optimizations that let transaction processing, analytics, machine learning, and mixed workloads run faster. Consolidating diverse Oracle Database workloads on Exadata platforms in enterprise data centers, Oracle Cloud Infrastructure (OCI), and multicloud environments helps organizations increase…
$2.90
Per Unit
Pricing
MongoDBOracle Exadata
Editions & Modules
Shared
$0
per month
Serverless
$0.10million reads
million reads
Dedicated
$57
per month
Database Server
$2.9032
Per Unit
Quarter Rack
$14.5162
Per Unit
Offerings
Pricing Offerings
MongoDBOracle Exadata
Free Trial
YesNo
Free/Freemium Version
YesNo
Premium Consulting/Integration Services
NoNo
Entry-level Setup FeeNo setup feeNo setup fee
Additional DetailsFully managed, global cloud database on AWS, Azure, and GCP
More Pricing Information
Community Pulse
MongoDBOracle Exadata
Considered Both Products
MongoDB

No answer on this topic

Oracle Exadata
Chose Oracle Exadata
Oracle Exadata Database Machine had the best performance overall hands down. It clearly beat the competition and we were seeing 1000X improvement on SAP HANA. Oracle Exadata Database Machine beat that without us refactoring our code. To achieve that in HANA, we had to …
Features
MongoDBOracle Exadata
NoSQL Databases
Comparison of NoSQL Databases features of Product A and Product B
MongoDB
10.0
39 Ratings
12% above category average
Oracle Exadata
-
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 Product A and Product B
MongoDB
-
Ratings
Oracle Exadata
9.2
3 Ratings
2% above category average
Multi-User Support (named login)00 Ratings10.03 Ratings
Multiple Access Permission Levels (Create, Read, Delete)00 Ratings10.03 Ratings
Single Sign-On (SSO)00 Ratings7.62 Ratings
Data Modeling
Comparison of Data Modeling features of Product A and Product B
MongoDB
-
Ratings
Oracle Exadata
10.0
1 Ratings
8% above category average
Data model creation00 Ratings10.01 Ratings
Data Exploration
Comparison of Data Exploration features of Product A and Product B
MongoDB
-
Ratings
Oracle Exadata
7.0
1 Ratings
6% below category average
Visualization00 Ratings7.01 Ratings
Data Warehouse
Comparison of Data Warehouse features of Product A and Product B
MongoDB
-
Ratings
Oracle Exadata
9.3
3 Ratings
11% above category average
High-Volume Data Processing00 Ratings10.02 Ratings
Data Warehouse Management00 Ratings10.02 Ratings
Administrative Automation00 Ratings7.93 Ratings
Self-Optimization00 Ratings9.13 Ratings
Best Alternatives
MongoDBOracle Exadata
Small Businesses
IBM Cloudant
IBM Cloudant
Score 7.4 out of 10
Google BigQuery
Google BigQuery
Score 8.8 out of 10
Medium-sized Companies
IBM Cloudant
IBM Cloudant
Score 7.4 out of 10
Cloudera Enterprise Data Hub
Cloudera Enterprise Data Hub
Score 9.0 out of 10
Enterprises
IBM Cloudant
IBM Cloudant
Score 7.4 out of 10
Cloudera Enterprise Data Hub
Cloudera Enterprise Data Hub
Score 9.0 out of 10
All AlternativesView all alternativesView all alternatives
User Ratings
MongoDBOracle Exadata
Likelihood to Recommend
10.0
(79 ratings)
10.0
(23 ratings)
Likelihood to Renew
10.0
(67 ratings)
-
(0 ratings)
Usability
10.0
(15 ratings)
10.0
(2 ratings)
Availability
9.0
(1 ratings)
-
(0 ratings)
Support Rating
9.6
(13 ratings)
-
(0 ratings)
Implementation Rating
8.4
(2 ratings)
-
(0 ratings)
User Testimonials
MongoDBOracle Exadata
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.
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Oracle
Oracle Exadata is well-suited for environments where massive performance for Oracle databases is required. Storage indexes reduce the unnecessary I/O. Smart Flash
Cache accelerates random reads/writes.

Our OLTP application demands very high concurrency. Multi-node Exadata provides high availability and zero downtime during DB patching. It comes with lots of built-in automations, so it reduces many routine tasks for sysadmins, like network, storage, and VM configuration, and it also reduces many Oracle DBA tasks, like Oracle software installation, patching, and upgrades.
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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.
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Oracle
  • Oracle Database : Deliver industry-leading security, high availability and scalability with Oracle Database, which has been significantly enhanced to take advantage of the Oracle Exadata Storage Servers.
  • Exadata Smart Scan : Improve query performance by offloading intensive query processing and data mining scoring to scalable intelligent storage servers.
  • Smart Flash Cache : Transparently cache 'hot' read and write data to fast solid-state storage, improving query response times and throughput. Exadata systems use the latest PCI flash technology rather than flash disks. PCI flash delivers ultra-high performance by placing flash directly on the high speed PCI bus rather than behind slow disk controllers.
  • Hybrid Columnar Compression : Reduce the size of data warehousing tables by 10x, and archive tables by 50x, to improve performance and lower storage costs for primary, standby, and backup databases. Query high, query low, archive high and archive low.
  • Infiniband Network : Connect multiple Oracle Exadata Database Machines using the InfiniBand fabric to form a larger single system image configuration. Each InfiniBand link provides 40 Gigabits of bandwidth–many times higher than traditional storage or server networks.
  • Petabyte Scalability : Easily scale data warehouse to support enterprise data growth.
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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.
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Oracle
  • The process of patching and upgrade of Exadata server components could be improved with a goal to minimize the overall effort, make it fully automated and transparent.
  • Improved guidelines and possibly more sophisticated tools for sizing of new Exadata servers for migration from old legacy hardware.
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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.
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Oracle
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.
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Oracle
I am comparing Exadata with the Oracle RAC database experience. In addition to Oracle RAC features, Exadata provides automatic performance optimization through Smart Scan and storage indexes. Deep integration with the Oracle ecosystem and tight coupling with Oracle Enterprise Manager
for monitoring and management. Some downsides of Exadata are: a steep learning curve, concepts like cell offloading, IORM, and flash cache behavior aren’t intuitive initially. Operating
Exadata requires specialized DBA skills.
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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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Oracle
No answers on this topic
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.
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Oracle
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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Oracle
Oracle Exadata Database Machine had the best performance overall hands down. It clearly beat the competition and we were seeing 1000X improvement on SAP HANA. Oracle Exadata Database Machine beat that without us refactoring our code. To achieve that in HANA, we had to refactor the code somewhat. Now this was for our limited POC of 5 use cases. Given the large number of stored procedures we had in Sybase, we need to capture more production metrics but we are seeing incredible performance.
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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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Oracle
  • Single support from a single vendor with both machine and database from Oracle, which is costing us less.
  • With Exadata, we need less technical manpower and less technical support. A business transaction with the integrated and centralized database helps us focus on other business needs.
  • We don't need to buy additional licenses and Hardware for the next 3 to 5 years.
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ScreenShots

MongoDB Screenshots

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