Find out what your peers are saying about Microsoft, Informatica, Collibra and others in Data Governance.
Implementing Collibra Data Catalog can be cost-effective if its features align well with the business requirements.
While there are no direct cost reductions, there is significant indirect cost reduction.
The solution can save costs by improving incident resolution times and reducing security incident costs.
The technical support from Collibra Governance is excellent.
Technical support is effective in providing solutions.
The technical support is quite good.
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 the support at eight, meaning there's some room for improvement.
Splunk User Behavior Analytics is highly scalable, designed for enterprise scalability, allowing expansion of data ingestion, indexing, and search capabilities as log volumes grow.
There is no information available currently for this section.
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.
There should be a reduction in cost as compared to other tools.
Collibra lacks the capability to read Python or R scripts, which is essential for data transformations in our pipeline ecosystems.
It struggles to catalog all categories of data, particularly sensitive data on-prem, which GCP Data Catalog handles better.
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.
It is neither extremely costly nor very cheap, as it depends on the use case and specific requirements.
Regarding licensing, I find it is one of the more expensive options, so it is not particularly affordable.
Reserved instances with one or three-year commitments offer lower rates, providing up to 70% savings.
Comparing with the competitors, it's a bit expensive.
The pricing is based on the amount of data processed, and it is considered a high-level investment for enterprises.
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.
The data lineage feature is beneficial for understanding where data is coming from.
The most important feature is the ease of use.
I also utilize it for anomaly detection and behavior analysis, particularly using Splunk's machine learning environment.
Features like alerts and auto report generation are valuable.
Splunk User Behavior Analytics offers several beneficial features, such as Insider Threat Detection, account compromise detection, risk scoring, threat detection, and machine anomaly detection.
| Product | Market Share (%) |
|---|---|
| Collibra Governance | 8.0% |
| Microsoft Purview Data Governance | 21.6% |
| Varonis Platform | 10.8% |
| Other | 59.599999999999994% |
| Product | Market Share (%) |
|---|---|
| Splunk User Behavior Analytics | 8.9% |
| Exabeam | 9.6% |
| IBM Security QRadar | 9.3% |
| Other | 72.2% |
| Company Size | Count |
|---|---|
| Small Business | 12 |
| Midsize Enterprise | 7 |
| Large Enterprise | 32 |
| Company Size | Count |
|---|---|
| Small Business | 7 |
| Midsize Enterprise | 5 |
| Large Enterprise | 12 |
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.”
Splunk User Behavior Analytics is a behavior-based threat detection is based on machine learning methodologies that require no signatures or human analysis, enabling multi-entity behavior profiling and peer group analytics for users, devices, service accounts and applications. It detects insider threats and external attacks using out-of-the-box purpose-built that helps organizations find known, unknown and hidden threats, but extensible unsupervised machine learning (ML) algorithms, provides context around the threat via ML driven anomaly correlation and visual mapping of stitched anomalies over various phases of the attack lifecycle (Kill-Chain View). It uses a data science driven approach that produces actionable results with risk ratings and supporting evidence that increases SOC efficiency and supports bi-directional integration with Splunk Enterprise for data ingestion and correlation and with Splunk Enterprise Security for incident scoping, workflow management and automated response. The result is automated, accurate threat and anomaly detection.
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.
