BigID Next

What do you like best about the product?

Illow used to be an ok cookie banner. I didn't use it much. Now I cannot use it any longer.

What do you dislike about the product?

I purchased a LTD on Appsumo for Illow (cookie banner and policy SAAS) in September 2023.
BigID took over that company and decided not to honer the LTDs they had with many customers. My account got deleted, I cannot even login on the new platform. Very bad!

What problems is the product solving and how is that benefiting you?

create policy texts and handle the cookie banners.

Data discovery is the strongest use case for BigID .

Data classification is highly effective due to its automatic capabilities. One of the best features of BigID  is its strength in data discovery and governance.

I want them to focus on data mapping, assessment, automation workflow, and privacy incident management. The privacy tools have not been widely used, and they have not invested much in privacy code privacy tools.

I have used the solution for five years.

I find it really stable.

BigID is scalable, so the size of the environment can be adjusted based on my organization's requirements.

BigID has one of the best technical support teams.

Neutral

A lot of customers have moved to OneTrust since they have not given enough time to BigID.

The initial setup is not complex; it is pretty straightforward. Once connected, it becomes easier to connect to other data sources.

BigID is really good in terms of getting out the ROIs. It is one of the best tools in the market.

The pricing is competitive in the market, however, I need to ask for the right price.

I would rate BigID at eight out of ten. I would advise users to go with a small proof of concept, connect to their on-prem or cloud instances, and then scale over time.

Hybrid Cloud

BigID is part of our data governance project. We onboard data sources in our environment and scan for specific sensitive data sets, such as SSN numbers, passport numbers, and medical information, while working with a US client.

BigID provides a large number of predefined classifiers. For example, when scanning SSN numbers, there are around four to five different classifiers available. We can choose based on our use case, such as SSN near term, where the term 'SSN' or 'Social Security Number' ahead or behind the number can trigger a match. It offers multiple options like narrow and wide SSN. Since BigID is on Cloud, we do not need to manually upgrade anything; any feature upgrades from their side are automatically reflected.

BigID does not currently support Kerberos authentication for DataStax. On the user interface, analyzing true and false positives can be challenging, as I can only view 2,000 characters at a time. When tagging scan results, all objects get tagged without the option to untag specific ones. This requires reverting changes through MongoDB, which can result in data loss.

I have been using BigID for less than one year.

There are no significant bugs. There are issues with incident tagging where all objects are tagged instead of a selected number of scan results. If modifications are incorrect, they can only be reverted through MongoDB, which may cause data loss.

We have a professional service contract with BigID and meet with them weekly. Direct support from the people we work with is satisfactory, but interaction with the general support team can be delayed. Overall, I rate this support around six or seven.

Neutral

I was not present during deployment, and BigID manages Cloud deployment. Setting up the scanner for on-premises data sources like SQL or file shares requires configuring a Linux machine, which can occasionally encounter errors.

BigID may be expensive, with various services and applications that require separate payments. Some features and applications such as Data Retention and Subject Rights Management also have additional costs.

BigID offers many capabilities and features. Operating on Cloud, it scans data repositories without affecting end-user systems, making it more of an IT-side operation. I rate the overall solution as nine out of ten. The tagging and support process have room for improvement, and efficiency is necessary for support once the professional service contract ends.

Private Cloud

Other

I have used BigID  to scan for data discovery, data protection, analyze where the data is found, data classification, and data mapping. I integrated BigID  with Microsoft Purview  to expand the scope of Purview , especially for scanning Google Cloud  Platform (GCP) and Google Drives in a multi-cloud environment.

BigID has allowed for expanded data discovery and classification, particularly in multi-cloud environments. This integration helped automate the business processes when used in combination with Microsoft Purview .

BigID is more advanced than Microsoft Purview when it comes to machine learning and AI development tools. It is capable of scanning documents in Google Drive , Microsoft Azure , and other platforms. It has better visibility of data mapping, including data lineage and the lifecycle of the data, due to its ability to scan more data sources than Purview .

BigID needs improvement in terms of automation. Its automation capabilities are limited compared to Purview. While BigID can generate outcomes, it is not adept at automating business processes, which is why we often need to export APIs into Purview and use Microsoft's Power Automate  tools.

I have used BigID in the last 18 months.

BigID has had a positive impact on my approach to data security and risk management. Overall, it is very stable, and I would rate it an eight out of ten.

I have used BigID in a very large global setting with approximately 18,000 employees. While I haven't tested it in smaller environments, I would rate its scalability as a six out of ten.

The technical support from BigID is very good; I would rate it a ten out of ten.

Positive

The setup of BigID is very easy. It is a cloud-based solution and is very intuitive. You can integrate and install it easily, and it is not resource-consuming.

I'd rate the solution eight out of ten.

Public Cloud

Other

BigId is a Data Security  Posture Management and Data Loss Prevention solution that scans data systems across the enterprise for passwords, secrets, and PII information. 

It offers significant benefits in data discovery, privacy, and security. 

We primarily use it to scan structured and unstructured data across our cloud systems, which consist of 100K+ storage buckets. It is a comprehensive data intelligence platform that helps organizations discover, classify, and manage their data effectively while ensuring data privacy, compliance, and governance.

It helped our organization to find and protect where sensitive data and data discovery, privacy, security, and governance, making it a valuable tool for businesses dealing with large volumes of sensitive information across different data systems.

Before using BigID , maintaining an accurate inventory of data stored in our AWS  S3  buckets was challenging due to the data's sheer volume and distributed nature. 

BigID ’s advanced scanning capabilities have provided a comprehensive view of all our data assets across S3  buckets, identifying structured and unstructured data. This has given us a clear understanding of our data landscape, enabling better management and utilization of data.

BigID is excellent at discovering and classifying both structured and unstructured data across an organization. This is crucial for identifying sensitive data and ensuring compliance with various regulations. 

It provides a unified view across different databases and supports a wide range of data source types, including cloud and on-premises systems. It offers compliance with various regulations and has a unified view across different databases.

It will support a large amount of data source types which include cloud and on-prem systems.

The solution needs to improve:

Scan Reliability. Enhancing the functionality and speed of the remote scanner setup is imperative. 

User Interface Navigation: The dashboards and findings landscape require significant improvement. 

API Flexibility: It is crucial to make enhancements in data export operations.

Navigation and Usability: Some users find catalog navigation challenging due to the lack of a search-by-column feature, making locating specific data difficult.

Export Functionality: The export feature tends to be buggy, particularly when dealing with large data sets, leading to delays and necessitating manual intervention

FalsePositives: The process has to find a new way to validate the regex match pattern by validating with some external source 

I've used the solution for over a year.