Forcepoint Data Loss Prevention (DLP) protects sensitive data everywhere it resides and moves, across endpoints, cloud apps, web, email, and on-premises environments. It delivers unified policy management and centralized control from a single console.
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Google Compute Engine
Score 8.4 out of 10
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Google Compute Engine is an infrastructure-as-a-service (IaaS) product from Google Cloud. It provides virtual machines with carbon-neutral infrastructure which run on the same data centers that Google itself uses.
$0
per month GB
Pricing
Forcepoint Data Loss Prevention
Google Compute Engine
Editions & Modules
No answers on this topic
Preemptible Price - Predefined Memory
0.000892 / GB
Hour
Three-year commitment price - Predefined Memory
$0.001907 / GB
Hour
One-year commitment price - Predefined Memory
$0.002669 / GB
Hour
On-demand price - Predefined Memory
$0.004237 / GB
Hour
Preemptible Price - Predefined vCPUs
0.006655 / vCPU
Hour
Three-year commitment price - Predefined vCPUS
$0.014225 / CPU
Hour
One-year commitment price - Predefined vCPUS
$0.019915 / vCPU
Hour
On-demand price - Predefined vCPUS
$0.031611 / vCPU
Hour
Offerings
Pricing Offerings
Forcepoint DLP
Google Compute Engine
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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Prices vary according to region (i.e US central, east, & west time zones). Google Compute Engine also offers a discounted rate for a 1 & 3 year commitment.
-Where companies need to secure their attachment, which goes outside, means from their company to outside -Where companies need to ensure their client's personal information -Where companies need DLP. They need to look for Forcepoint only, as they have the upper hand over the rest of their competitors.
You can use Google Cloud Compute Engine as an option to configure your Gitlab, GitHub, and Azure DevOps self-hosted runners. This allows full control and management of your runners rather than using the default runners, which you cannot manage. Additionally, they can be used as a workspace, which you can provide to the employees, where they can test their workloads or use them as a local host and then deploy to the actual production-grade instance.
It has predominantly protected us from unauthorized parties and has provided us with better visibility and control over our data.
This software has also successfully prevented us from both malicious and accidental tasks, which are quite flexible actions when it comes to the violation of data loss prevention policies.
This product has been successful in improving compliance and even mitigating compliance violations, which further facilitated IT security.
I think there is room for improvement, as the user interface is slightly rough and difficult to adopt in the beginning. The software also hangs up at a few instances, which leads to some wasting of time and annoyance, but other than that, this software is good. The technical staff should work on the complexities for a better user experience.
Scaling - whether it's traffic spikes or just steady growth, Google Compute Engine's auto-scaling makes sure we've got the compute power we need without any manual juggling acts
Load balancing - Keeping things smooth with that load balancing across multiple VMs, so our users don't have to deal with slow load times or downtime even when things get crazy busy
Customizability - Mix and match configs for CPU, RAM, storage and whatnot to suit our specific app needs
Forcepoint technical support--specially for users who go with essential support--is challenging to get support on time. You need the ticket to be raised long beforehand to get support from TAC. However, in the case of enterprise support, its is not like this technical person will come on a priority basis.
However it comes with higher prices, especially for SMB, it is allowed to pay that amount for support only.
We have been fairly happy with the product and how it has worked. We have looked at other vendors for url filter and such and have not found one that meets our needs or does what we have been doing with Websense. The product has been fairly stable and we have only had a few issues in the past. We have all seen that it was one of the highest leaders from the Gartner Group Magic Quadrant for Web Gateways.
Its pretty good, easy and good performance. Also, interface is very good for starters compared to competitors. Infra as Code (IaC) using Terraform even added easiness for creation, management and deletion of compute Virtual Machines (VM). Overall, very good and very easy cloud based compute platform which simplified infrastructure, very much recommend.
For us, Forcepoint Data Loss Prevention was difficult to administer, did not work well when it did work, was incredibly expensive for the feature set you get, and was difficult to uninstall when we moved on from the software. Once it was fully set up, it worked occasionally for us.
Having interacted with several cloud services, GCE stands out to me as more usable than most. The naming and locating of features is a little more intuitive than most I've interacted with, and hinting is also quite helpful. Getting staff up to speed has proven to be overall less painful than others.
Google Compute Engine works well for cloud project with lesser geographical audience. It sometimes gives error while everything is set up perfectly. We also keep on check any updates available because that's one reason of site getting down. Google Compute Engine is ultimately a top solution to build an app and publish it online within a few minutes
It works great all the time except for occasional issues, but overall, I am very happy with the performance. It delivers on the promise it makes and as per the SLAs provided. Networking is great with a premium network, and AZs are also widespread across geographies. Overall, it is a great infra item to have, which you can scale as you want.
Support from Forcepoint has been lacking. When calling in with a high priority issue we rarely are able to work with a technician immediately. The queue waits are very long and when you get through there are no support engineers available and we need to wait for a call back for hours it seems.
The documentation needs to be better for intermediate users - There are first steps that one can easily follow, but after that, the documentation is often spotty or not in a form where one can follow the steps and accomplish the task. Also, the documentation and the product often go out of sync, where the commands from the documentation do not work with the current version of the product.
Google support was great and their presence on site was very helpful in dealing with various issues.
User friendly solution that makes it easy to deploy and manage. Forcepoint Data Loss Prevention very effective to protecting our valuable data on endpoints and where data lives like in the Cloud, server and on-premises disk drives and its valuable to just set policies once and start utilizing Forcepoint Data Loss Prevention solution.
Google Compute Engine provides a one stop solution for all the complex features and the UI is better than Amazon's EC2 and Azure Machine Learning for ease of usability. It's always good to have an eco-system of products from Google as it's one of the most used search engine and IoT services provider, which helps with ease of integration and updates in the future.
The exchange of financial documents with customers creates extreme risk as data loss could result in financial and reputation damage to the customer. The cost of deploying Forcepoint is fractions of pennies compared to the potential financial impact of data loss.
There is some administrative overhead associated as false positives are inevitable, requiring a manual review and a potential loss of productivity.