Collibra Governance and BigID compete in the data governance and privacy management space. BigID may have the upper hand due to its comprehensive data privacy and discovery features.
Features: Collibra Governance is known for metadata management, facilitating efficient data stewardship, compliance reporting, and a robust data catalog. BigID excels in privacy policy enforcement, sensitive data detection, and automated data classification.
Room for Improvement: Collibra may enhance its privacy features to match competitors. It could streamline its setup process and improve cost efficiency. BigID can benefit from improving its integration capabilities, customer service responsiveness, and expanding its overall feature set for comprehensive data governance.
Ease of Deployment and Customer Service: Collibra offers a flexible deployment model with both cloud and on-premises options, alongside comprehensive support. BigID focuses on quick integration but has less responsive customer service compared to Collibra, impacting the user experience.
Pricing and ROI: Collibra typically involves higher setup costs but offers substantial ROI through effective data governance. BigID features a more cost-effective initial setup but may require further investment for full functionality, especially in privacy compliance.
It is one of the best tools in the market.
BigID has one of the best technical support teams.
Professional service provides early and efficient support.
Technical support is effective in providing solutions.
The technical support is quite good.
BigID is generally stable, however, there is a noted issue with bulk tagging that can affect scan results.
There is no information available currently for this section.
There is also an issue with incident tagging, where all objects get tagged without an option to untag specific ones, and reverting changes is only possible through MongoDB Central, which can lead to data loss for certain periods.
I want them to focus on data mapping, assessment, automation workflow, and privacy incident management.
Collibra's data quality feature only provides observations on data quality without any remediation techniques.
There should be a reduction in cost as compared to other tools.
The domain-based approach could be more helpful for aspects such as customer 360 and product 360.
BigID might be expensive as it involves various paid services, like data retention and graphic rights management.
The pricing is competitive in the market, however, I need to ask for the right price.
Collibra has high initial costs for licensing that can be a barrier to small and medium-sized companies starting with it.
The price is average, and it provides good value for the money.
One of the best features of BigID is its strength in data discovery and governance.
The most valuable feature of BigID is its large number of classifiers, which allow us to scan for specific data such as SSN numbers.
One of the most valuable features of Collibra Governance is its scanning feature, which allows us to onboard multiple applications and their underlying databases.
I find the rule modification and the replication of the rules in Collibra happens very quickly.
The most important feature is the ease of use.
BigID is a leader in data security, privacy, compliance, and governance: enabling organizations to proactively discover, manage, protect, and get more value from their data in a single platform for data visibility and control. Customers use BigID to reduce their data risk, automate security and privacy controls, achieve compliance, and understand their data across their entire data landscape: including multicloud, hybrid cloud, IaaS, PaaS, SaaS, and on-prem data sources.
Collibra Governance is a software solution for data governance, which refers to the set of policies, standards, and processes that govern how an organization manages, uses, and protects its data. Collibra Governance provides a centralized platform for managing data governance, enabling organizations to ensure data accuracy, completeness, and security.
The software includes tools for managing data lineage, data dictionaries, and metadata, as well as for monitoring data quality and compliance with data governance policies. It also provides a collaboration platform for stakeholders to work together on data governance initiatives, ensuring that data governance is integrated into the organization's data management processes.
Collibra Governance is designed for organizations of all sizes, from small businesses to large enterprises, and can be used across a variety of industries and use cases. It is a cloud-based solution that can be easily implemented and integrated into an organization's existing data management infrastructure.
Collibra Governance Features
Collibra Governance has many valuable key features. Some of the most useful ones include:
Collibra Governance Benefits
There are many benefits to implementing Collibra Governance. Some of the biggest advantages the solution offers include:
Reviews from Real Users
Collibra Governance is a solution that stands out when compared to many of its competitors. Some of its major advantages are that it has good data lineage, is easy to use, and has good customization capabilities in addition to many other great features.
A Sr. Systems Analyst, Master Data Governance at a manufacturing company expresses, “[The solution has] good data lineage and is surrounded by a helpful community.”
“[It’s] easy to use with good customization capabilities and great features,” says a Senior Consulting Analyst at a construction company.
According to Kriti T., Senior Manager, Service Design Manager at a pharma/biotech company, “The solution lets me associate the right people with the right assets, so anybody who has to look at end-to-end instances can use Collibra Governance and figure it out in terms of who to contact, what to do, and where to find what you need.”
We monitor all Data Governance reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.
