GitGuardian vs. Hevo Data

I do think it'll absolutely fit everyone who codes integrates with another platform or services. We all forget that one credentials one in a while, and especially those who managed public repository, it is important to keep an eye on accidentally committed credentials. While I think you don't really needs it for personal project, it's a nice to have, you don't want to waie up to 50k USD of sudden surcharge on resources you don't use.

Incentivized

Invited by the Vendor

A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info

It is of great help for unstructured data sources. The way Hevo Data flattens the high nested data is amazing. Schema management is also good by Hevo Data. The way it's tell about the data type and then we can identify any error in the model. Additionally, It is very easy to setup for any new user and once model is created then we do not have to worry about the script maintenance and updating the script daily.

Incentivized

Independently Invited by TrustRadius

A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info

• GitGuardian monitors every public or private GitHub commit ( that have GitGuardian installed) and event in real-time for secrets and sensitive data. In a leak scenario it immediately notifies us.
• It uses sophisticated pattern matching techniques to detect credentials that cannot be strictly defined with a distinctive pattern (like unprefixed credentials)
• It covers several API providers, database connection strings, private keys, certificates, usernames and passwords etc
• GitGuardian have high True Positive Rate of around 91% and reduces alert fatigue with smart occurrences regrouping

• Extract
• Load
• Transform
• Support

Incentivized

Independently Invited by TrustRadius

A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info

• Improved user interface: It would be beneficial to have a more intuitive and user-friendly interface for Internal Monitoring on GitGuardian. This would make it easier for users to quickly access the data they need and understand the results of their scans.
• Automated alerts: It would be helpful to have automated alerts when certain conditions are met, such as when a scan reveals sensitive data or when a new repository is created. This would help users stay informed and take action in a timely manner.
• More detailed reports: Currently, Internal Monitoring reports are limited in terms of the depth of information they provide. It would be useful to have more detailed reports that include additional metrics, such as the number of repositories scanned and the types of sensitive data found.
• Faster scan times: Scan times can be slow at times, making it difficult to stay on top of changes in repositories quickly. It would be beneficial to have faster scan times so that users can take action quickly when needed.

• Support - their support teams try to be helpful, but often miss the mark
• Error logging - we've run into a few issues debugging errors and limited support is provided by Hevo

Incentivized

Independently Invited by TrustRadius

A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info

I've evaluated quite a few other tools, like git-secrets, Git-leaks, scan, and maybe a few more. They're all great but quite surprisingly none of them detected Github OAuth Secrets for us. A lot of the FOSS tools out there focus on much simpler, generic secrets, which is good in itself but with GitGuardian, it was dead simple from day one. I just connected our Github Account and set up the gg-shield cli and that was all.

Incentivized

Invited by the Vendor

A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info

1. Cost efficient 2. Creation of automated pipeline 3. Can load data from multiple data sources 4. Updates data in near real-time - We were able to get near real time insights from the data model which we have created in hevo 5. It has good integration with different BI tools

Incentivized

Independently Invited by TrustRadius

A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info

• GitGuardian Internal Monitoring has had a positive impact on our overall business objectives. By providing visibility into our code repositories and alerting us to potential security risks, we have been able to identify and mitigate security issues before they become a problem. This has allowed us to focus more on developing our product and less on responding to security incidents. We have also seen an increase in customer confidence in our product as a result of using GitGuardian Internal Monitoring, which has led to increased customer loyalty and retention. Overall, the ROI of using GitGuardian Internal Monitoring has been very positive for our business.
• We have seen an increase in the security of our codebase, as well as an improvement in the speed and accuracy of our code reviews. This has enabled us to quickly identify and address any potential security issues before they become a problem. Additionally, we have seen an increase in our ROI as a result of using GitGuardian Internal Monitoring, as it has allowed us to save time and money by preventing costly security breaches.
• No more.

• Comprehensive results from the data processing is a perfect approach from the tool.
• Authentic data models brings a high automation process and more productivity.
• Expansive data sourcing brings clarity and genuine results after inferential analytics.

Incentivized

Independently Invited by TrustRadius

A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info