Elasticsearch is an enterprise search tool from Elastic in Mountain View, California.
$16
per month
Forcepoint DLP
Score 7.9 out of 10
N/A
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.
N/A
Pricing
Elasticsearch
Forcepoint Data Loss Prevention
Editions & Modules
Standard
$16.00
per month
Gold
$19.00
per month
Platinum
$22.00
per month
Enterprise
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Offerings
Pricing Offerings
Elasticsearch
Forcepoint DLP
Free Trial
No
No
Free/Freemium Version
No
No
Premium Consulting/Integration Services
No
No
Entry-level Setup Fee
No setup fee
No setup fee
Additional Details
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Community Pulse
Elasticsearch
Forcepoint Data Loss Prevention
Features
Elasticsearch
Forcepoint Data Loss Prevention
Data Preparation
Comparison of Data Preparation features of Product A and Product B
Elasticsearch is a really scalable solution that can fit a lot of needs, but the bigger and/or those needs become, the more understanding & infrastructure you will need for your instance to be running correctly. Elasticsearch is not problem-free - you can get yourself in a lot of trouble if you are not following good practices and/or if are not managing the cluster correctly. Licensing is a big decision point here as Elasticsearch is a middleware component - be sure to read the licensing agreement of the version you want to try before you commit to it. Same goes for long-term support - be sure to keep yourself in the know for this aspect you may end up stuck with an unpatched version for years.
-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.
As I mentioned before, Elasticsearch's flexible data model is unparalleled. You can nest fields as deeply as you want, have as many fields as you want, but whatever you want in those fields (as long as it stays the same type), and all of it will be searchable and you don't need to even declare a schema beforehand!
Elastic, the company behind Elasticsearch, is super strong financially and they have a great team of devs and product managers working on Elasticsearch. When I first started using ES 3 years ago, I was 90% impressed and knew it would be a good fit. 3 years later, I am 200% impressed and blown away by how far it has come and gotten even better. If there are features that are missing or you don't think it's fast enough right now, I bet it'll be suitable next year because the team behind it is so dang fast!
Elasticsearch is really, really stable. It takes a lot to bring down a cluster. It's self-balancing algorithms, leader-election system, self-healing properties are state of the art. We've never seen network failures or hard-drive corruption or CPU bugs bring down an ES cluster.
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.
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.
To get started with Elasticsearch, you don't have to get very involved in configuring what really is an incredibly complex system under the hood. You simply install the package, run the service, and you're immediately able to begin using it. You don't need to learn any sort of query language to add data to Elasticsearch or perform some basic searching. If you're used to any sort of RESTful API, getting started with Elasticsearch is a breeze. If you've never interacted with a RESTful API directly, the journey may be a little more bumpy. Overall, though, it's incredibly simple to use for what it's doing under the covers.
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.
We've only used it as an opensource tooling. We did not purchase any additional support to roll out the elasticsearch software. When rolling out the application on our platform we've used the documentation which was available online. During our test phases we did not experience any bugs or issues so we did not rely on support at all.
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.
As far as we are concerned, Elasticsearch is the gold standard and we have barely evaluated any alternatives. You could consider it an alternative to a relational or NoSQL database, so in cases where those suffice, you don't need Elasticsearch. But if you want powerful text-based search capabilities across large data sets, Elasticsearch is the way to go.
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.
We have had great luck with implementing Elasticsearch for our search and analytics use cases.
While the operational burden is not minimal, operating a cluster of servers, using a custom query language, writing Elasticsearch-specific bulk insert code, the performance and the relative operational ease of Elasticsearch are unparalleled.
We've easily saved hundreds of thousands of dollars implementing Elasticsearch vs. RDBMS vs. other no-SQL solutions for our specific set of problems.
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.
