WebSphere Hybrid Edition from IBM is a collection of WebSphere application runtimes and modernization tools that provides support for on-premise and major public cloud deployments, in virtual machines, containers and Kubernetes. The user can choose any WebSphere edition and deploy Liberty and application modernization tools to help move to a cloud-native architecture, modernize existing applications and support an existing WebSphere estate.
$88.50
per month
MongoDB
Score8.8 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
Pricing
IBM WebSphere Hybrid Edition
MongoDB
Editions & Modules
Application Server
$88.50
per month
Shared
$0
per month
Serverless
$0.10million reads
million reads
Dedicated
$57
per month
Offerings
Pricing Offerings
IBM WebSphere Hybrid Edition
MongoDB
Free Trial
No
Yes
Free/Freemium Version
No
Yes
Premium Consulting/Integration Services
No
No
Entry-level Setup Fee
No setup fee
No setup fee
Additional Details
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Fully managed, global cloud database on AWS, Azure, and GCP
IBM WebSphere Hybrid edition is well-suited for the development and deployment of large enterprise-level applications such as Electronic Health Records that are used in our organization. IBM WebSphere is appropriate for organizations that require strong security and compliance as it provides a high level of security and compliance features. This works well with organizations that are subject to strict regulatory requirements, such as hospitals.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
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.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
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.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
Ease of use in terms of deployment, give simple interface to do simple stuff like Tomcat, JBoss or GlassFish.
Takes long time to start the server.
The Liferay wars need to be decorated and then deployed. Perhaps we could simplify that.
Some of the concepts are good for complexity that WAS can handle but could be simplified and better documented, like concepts of well and profile, context, etc.
A Liferay war file created using Liferay Developer studio runs fine in Tomcat, however that may not run in WAS 7.x because it needs to be decorated. I had one war for a Liferay portlet with a simple cron job, and had hard time running to WAS server. It was running on the latest free download done on my friends m/c. Other times I have seen that there are issues running a war file that runs on Tomcat but runs on WAS after lot of customization for WAS.
The corporations like this however, the product may need better vibrant community of users where issues can be discussed.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
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.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
Mostly we will be renewing unless the strategic direction changes drastically or there are other complelling external circumstances. We've been on a multi year project to modernize our legacy applications and that effort will continue for the foreseeable future.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. TR verified that a representative sample of customers was invited. More Info
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.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
WebSphere Application Server is used across our organization. Most projects use this for Java products and applications. Being robust and scalable makes it even more usable. We love using WebSphere Application Server due to its configuration management ability made simple and vast across all java related parameters. It is dependent on the features and upgrades and IBM releases some great upgrades to WebSphere Application Server.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
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.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
IBM was quick to respond when we had an issue with our specific infrastructure. We raised a PMR, which they picked up quickly and updated us about every step of the way. We had an appropriate fix for quite a business critical issue within a fortnight, which was impressive!
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
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.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
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.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
Cleo Integration Clould has many bells and whistles; however, when we added more maps and trading partners, it really slowed down. We found that the Cleo support was very slow to respond and there was a language barrier. IBM Websphere had better customer support and its processing was much faster than Cleo Integration Cloud
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
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.
Continuous uptime of the business applications we manage
It's now much simpler for me to build and deploy cloud-native applications.
Because it can offload for me management and maintenance of the application server to IBM I can focus on the development, deployment and testing of the applications which is more important
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
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