BigID Reviews

I use the solution to discover sensitive data. I use it when the company I am part of is unable to provide locations of specific data. The goal of the tool is to find data and help companies make a better decision in regards to privacy laws. 

The PII feature of BigID has helped our organization. One of the challenges BigID can help companies with is gaining control of where the data leads and to control the data lifecycle. 

One of the most valuable features is the first step to finding PII, whether sensitive data, financial data, or personal information. Another important feature of the tool is the desired data subjected to request. Once you know where the data is present, you can receive a request from the data subject. A person can also receive internal automation using the tool and perform a desired request with the total PII. 

The tool should have more classifiers or classifications about different states. For example, there should be specific classifiers for Brazil and other specifics for China. The existing features should be improved, and more features should be added to the tool. 

I have been using the solution for five years. 

I would rate the stability a seven out of ten. While using BigID, sometimes the user doesn't have visibility into the scan or when it will be completed.  

I would rate the scalability an eight out of ten. 

The tech support is good but sometimes the support team delays to provide a solution. I would rate the tech support an eight out of ten. 

Positive

The initial setup complexity of BigID depends upon the project goal. If the goal is to scan multiple databases or large databases, the initial setup can be difficult because it's necessary to set up more than one scan separately.

The tool can be set up for an on-premise scan or a cloud scan, and it's vital for the scan to take place near the data source to speed up the process. The deployment type of the solution depends on the kind of database an organization already holds and the strategy or company goal. 

The solution provides a good return on investment because it helps companies to be compliant with privacy laws and manage data as well. The product helps identify types of internal data like in HR processing systems and financial systems. 

The product is expensive, but so are all competitor data discovery tools. 

Data classification is an important aspect of the tool because, by using it, a company can make better decisions and implement the right security process. The data classification offered by the tool can help companies improve their security strategy. The solution also helps in the data minimization process. For instance, if the tool duplicates data in different databases, companies can use BigID to reduce the number of duplicate data. BigID thus can also be used to meet compliance with GDPR, CCPA and LGPD.

I would recommend BigID to others. The solution is simple to manage, and most use cases are easier to deploy with It. I would rate the solution an eight out of ten. 

We use the solution for database scanning and data protection. 

The tool's most valuable feature is correlation. Using BigID's data classification capabilities has strengthened our data security. It lets me classify and connect data, which helps me manage data at various classification levels. 

The challenge we encountered was with data connection across multiple databases. We struggled with configuring the data connection successfully. However, with the assistance of dynamic teams, we resolved this issue. 

The tool needs to improve its support as well. 

I rate the product's stability as five out of ten. Since the product is new in the market, it's still in the process of maturing.

I rate the tool's scalability a six out of ten. 

We connect with the support team, especially when customers require in-depth support. We often communicate with the help desk team.

Neutral

The tool's deployment is neither easy nor complicated. I often use checklists and standard operating procedures to guide my customer work.

The solution is worth its money. 

The solution is expensive. 

I rate the overall solution a seven out of ten. 

In terms of primary use cases for BigID, since I'm a data architect, I get the specific data that is necessary for the client use-case. Then I'll try and do a scan. I do a scan on them, and the scan has parameters. So I set up the scan with some assistance from the admin, and run the scan. When we get the result, it gets populated in the BigID tool. Then I'll go into the BigID tool where there are something like files, I forgot the specific name. I'll look through the files to understand them and try to bring some of them to do an analysis. I can do my analysis in Excel with the data. The way BigID is set up, it's not easy to get all the data straight. To be able to get all the data elements I have to download it somewhere since I'm not in front of the machine.

In terms of how BigID has improved our organization, it gives a bird's-eye view of the total data. I like that. For me, that's what it does.

The features that I have found most valuable are the user experience, the credentialing, and that BigID is user friendly. Additionally, you can deploy to several other Microsoft platforms and you can use it for other things, like a bigger element or a report.

In terms of what could be improved, when you're looking in a BigID file, you cannot really get the whole file. You have to export it to download it to another platform that allows you to completely view it, or run a program. That was one of the things that was really a disappointing point for me. Not to be able to view everything. There's a lot more data, but you can't get it all at once.

They should improve on the viewing of the various files. If somebody wants to view a specific file, they should be able to view it all the way to the end and not just see maybe three quarters or so.

I used BigID all of 2019.

I think BigID is stable. I like BigID, I think it's very reliable. Being that it is new, integrating it in a project requires a learning curve. So the stability is a bit shaky, but with time people will get to get used to it. It'll get more stable.

For what we're doing, it does not really require much maintenance. Because the data is not complicated, but it's sort of minute. It's a bunch of little data.

I think BigID is scalable, but the scalability is not feasible. As I explained to you, there's some work that has to be done, like running a program, to get it scalable.

In our case, the client is the federal government.

BigID is used very extensively. And I think the project, from what I've heard, is going to start all over again. It's getting very popular.

The technical support is very good. I mean, they're right there. They come by, maybe two or three days a week. They are always available. They are very supportive, very responsive.

The initial setup is straightforward, at least it was for me, because I've been doing IT for a long time. It could be complex for other people.

We all work in conjunction. For example, we work with the data scientists, the production guys, and the data governance folks. The data governance folks like me have to have good enterprise architecting knowledge. We all work together.

The deployment takes a long time because it's like a discovery stage on what's going on. The data has to be on top of data Lake. Then, with the use of Scala and SQL and with some API calls to produce some graphs, they create some reports that can be deployed to MongoDB. That takes some time.

Initially there wasn't any implementation strategy, but we had to come up with some onboarding deployment strategies. Like just trying to understand specifically the use-case and knowing who are the people in charge - the data owners, data stewards, and data custodians. Then also trying to know the C-suite executives involved. Just knowing everybody that is involved so the process can be faster. In the beginning the BigID folks came in from New York City - that helps if we have any issues.

I think the return on investment is great, because it is good compared to the earnings ratio. I think it's fine.

I do like Informatica and Collibra.

The biggest lesson I have learned about BigID is that it is reliable and it's readily available. When you do the scans, you can just see the data is there - it's nice. Even though you cannot see all you need, like I mentioned, you have to deploy somewhere or run a program, but it's there.

On a scale of one to ten, I would give BigID an eight.

BigID integrates well with our other products. 

I have used BigID for about two years.

BigID is stable.

BigID is scalable. 

Setting up BigID is complex and took us about three months.

BigID is expensive. I prefer McAfee. 

I rate BigID eight out of 10.