

Find out what your peers are saying about Collibra, Microsoft, Informatica and others in Data Governance.
When considering the time and effort required to build a catalog and utilize it effectively, combined with the prices, it often does not make financial sense.
A lot of time gets saved in data search, data discovery, and data analysis, which translates into a good return on investment.
Implementing Collibra Data Catalog can be cost-effective if its features align well with the business requirements.
The solution can save costs by improving incident resolution times and reducing security incident costs.
There were weekly sessions with them that covered the loads and highlighted when it exceeded a threshold.
They provide quick and high-quality responses.
When using the Collibra Resident Architect program, the customer service was excellent, with issues quickly resolved.
Mission-critical offering a dedicated team, proactive monitoring, and fast resolution.
From the responsiveness perspective, Splunk is very responsive with SLA-bound support for premium tiers.
I would rate their technical support as 8.5 out of 10.
We were a big bank and had thousands of assets without any issues.
It can handle growth in users, assets, metadata, and integrations, but it requires good governance and administration.
Collibra Platform is heavily scalable with a completely robust architecture.
Splunk User Behavior Analytics is highly scalable, designed for enterprise scalability, allowing expansion of data ingestion, indexing, and search capabilities as log volumes grow.
The performance and reliability of Collibra Platform is excellent since we use the SaaS cloud offering.
It does not lag, and it can handle large volumes of data in less time.
Collibra Platform is stable.
With built-in redundancy across zones and regions, 99.9% uptime is achievable.
Splunk User Behavior Analytics is a one hundred percent stable solution.
Splunk User Behavior Analytics is highly stable and reliable, even in large-scale enterprise environments with high log injection rates.
Users often find it challenging to utilize data governance tools, with ease of use ranked as an important criterion by 2028 standards.
Leveraging AI could simplify the process by automatically listing assets for movement, requiring only a couple of clicks, providing a win for administration purposes.
Collibra Platform could be improved, particularly the AI platform, which at the end of the day needs to be very tailored and very specific to my cases.
Global reach allows deployment of apps and services closer to users worldwide, but data sovereignty concerns exist and region selection must align with compliance requirements.
I encountered several issues while trying to create solutions for this advanced version, which seem unrelated to query or data issues.
High data ingestion costs can be an issue, especially for large enterprises, as Splunk charges based on the amount of data processed.
Collibra has high initial costs for licensing that can be a barrier to small and medium-sized companies starting with it.
There are plans to increase license rates.
Adding modules like Privacy could become expensive.
Reserved instances with one or three-year commitments offer lower rates, providing up to 70% savings.
Compared to all other products in the market, it is the most expensive one in all aspects including professional service and licenses, even the cloud version.
Comparing with the competitors, it's a bit expensive.
My experience with Collibra's collaboration tools in improving data literacy has been quite good. I think it is one of the best for helping people understand and discuss certain data sets and manage workflows.
We have saved up to 30% of manual work as a specific process or workflow became faster.
Another important feature is the data lineage, which helps in impact assessment before making any changes, showing where a particular field is being used in a report, data quality report, or normal report.
I also utilize it for anomaly detection and behavior analysis, particularly using Splunk's machine learning environment.
The dashboards themselves are nice, very good, and very helpful, but the accuracy of the data or the information that will be presented on the dashboard is something that needs to be questioned.
Features like alerts and auto report generation are valuable.
| Product | Mindshare (%) |
|---|---|
| Collibra Platform | 7.6% |
| Microsoft Purview Data Governance | 8.6% |
| Varonis Platform | 5.2% |
| Other | 78.6% |
| Product | Mindshare (%) |
|---|---|
| Splunk User Behavior Analytics | 5.0% |
| Exabeam | 8.8% |
| IBM Security QRadar | 7.4% |
| Other | 78.8% |
| Company Size | Count |
|---|---|
| Small Business | 24 |
| Midsize Enterprise | 14 |
| Large Enterprise | 60 |
| Company Size | Count |
|---|---|
| Small Business | 7 |
| Midsize Enterprise | 7 |
| Large Enterprise | 12 |
Collibra Platform is preferred for workflows, data lineage, and a user-friendly interface. It enhances metadata management with robust collaboration, flexible customization, and powerful reporting, aiding organizations in effective data management.
Collibra Platform provides dependable solutions for metadata management, data lineage, and governance. It strengthens data governance with cataloging, glossaries, automation, and integration, supporting compliance and data quality management. Despite challenges with integration and metadata ingestion, the platform is vital for data governance programs, offering comprehensive AI capabilities and streamlined processes for enterprise data management.
What are Collibra Platform's key features?
What benefits should be sought in reviews?
In industries, Collibra Platform supports IT teams through metadata management and data quality assurance. It is widely used for compliance initiatives like GDPR, speeding up digital transformation and enforcing policy management. Organizations employ it to consolidate business and technical metadata, ensuring effective enterprise-scale data management in diverse sectors.
Splunk User Behavior Analytics focuses on data aggregation and threat detection with automation, deepening insights into user behavior. It offers usability, stability, and strong integration capabilities, making it a preferred choice for organizations needing comprehensive security management.
This platform enhances security management through customizable dashboards and real-time updates. Advanced analytics for anomaly detection and behavioral profiling, coupled with powerful indexing and search capabilities, enable thorough user behavior analysis. Users experience streamlined integration with Active Directory and other monitoring tools. However, improvements are needed in dashboard customization, customer support, and analytics tools to boost user experience. Organizations use Splunk User Behavior Analytics primarily for monitoring and analyzing user behavior, integrating various data sources for effective threat detection while maintaining governance.
What are the key features of Splunk User Behavior Analytics?Splunk User Behavior Analytics is widely implemented across industries for threat detection and insider threat identification. By integrating with tools like Active Directory for monitoring and anomaly detection, organizations benefit from robust security management and effective log analysis. It underpins efforts in security, data indexing, and combining data for comprehensive threat prevention.
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