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
Zscaler Internet Access
Score 8.7 out of 10
N/A
Zscaler Internet Access™ (ZIA) is a secure web gateway (SWG), delivering cloud native cyberthreat protection and zero trust access to the internet and SaaS apps.
N/A
Pricing
MongoDB
Zscaler Internet Access
Editions & Modules
Shared
$0
per month
Serverless
$0.10million reads
million reads
Dedicated
$57
per month
No answers on this topic
Offerings
Pricing Offerings
MongoDB
Zscaler Internet Access
Free Trial
Yes
No
Free/Freemium Version
Yes
No
Premium Consulting/Integration Services
No
Yes
Entry-level Setup Fee
No setup fee
No setup fee
Additional Details
Fully managed, global cloud database on AWS, Azure, and GCP
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.
It's best suited for a distributed remote workforce, securing internet access for users from anywhere. Suitable for highly regulated industries, such as banking and Healthcare. Not a good fit for an organisation where most of its legacy is in an on-premises environment. Bandwidth-intensive industries like media/entertainment firms.
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.
Single Pane of Glass Management - Everything is very easy to access and monitor the entire environment from an internet security perspective.
Install Flexibility - We can and do install Zscaler Internet Access on both our client devices as well as our SD-WAN appliances and servers. This allows us to control internet security even on devices without an agent in our networks.
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.
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.
While Zscaler Internet Access (ZIA) delivers critical value in cloud security and RBI compliance, I rate renewal likelihood 7/10 due to evolving needs versus platform limitations. Below is my rationale:
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.
The application is easy to install and configure on all Windows devices. To troubleshoot any internet issue, we can easily collect all the relevant logs from Zscaler and check the exact issue. The only problem is with the uninstall, as a dedicated crew needs to provide the password.
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.
Zscaler's ZIA support is quick and knowledgable. They respond within 1-2 hours of you submitting your ticket. They are very thorough and are typically ready to jump on a live troubleshooting session. Our ZIA platform and how we use is it unique so at times tickets can be open for weeks but we alway get quality support compared to other unrelated product support in our enterprise
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.
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.
Zscaler Intenet Access outperformed the competition due to its lightning-fast policy delivery and cross-compatibility. It is easy to track employee usage and block unnecessary websites, reducing company internet usage. Zscalar installed on every system increases cloud-based software bandwidth, decreasing user turnaround time and increasing efficiency.
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
Has allowed us to remove other products that were suboptimal
Saved us money overall by stacking it with other Zscaler products
Created a more secure work environment for our users through intelligent internet policies that are not needlessly restrictive while still maintaining security best practices