

Find out what your peers are saying about Collibra, Quest Software, Credo AI and others in AI 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.
SnapLogic is really helpful and processes in very little time, so it doesn't take much time compared to any legacy tool.
The reports and pipelines run, leading to cost savings that reduce manual effort and save 50,000 to 150,000 USD annually.
Suppose there was an issue resolution time of 10 hours for the previous manual effort; now it is reduced to one hour or half an hour.
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.
The responsiveness, technical expertise, knowledge base and documentation, support channels, and continuous improvement were impeccable.
They are providing the best customer support to the organization and the vendors.
I have been very impressed with how responsive they are and how well they take feedback and they value my team's experience.
We were a big bank and had thousands of assets without any issues.
Our organization has more than 10,000 employees without any glitch, without any hang, and without any slowness.
It can handle growth in users, assets, metadata, and integrations, but it requires good governance and administration.
After implementing SnapLogic, pipelines that processed one to two million records per week can now handle five to 10 million records without additional infrastructure.
That means you can connect any system or application anytime, whether day or night, scheduled or dynamic, and anywhere, whether it is cloud or on-premises.
It supports enterprise-wide integration and has a cloud-native architecture.
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.
I would rate the stability of SnapLogic as nearly ten out of ten.
But recently, in a year, I haven't found many performance issues in SnapLogic.
More robust APIs would assist anyone looking to automate processes.
Users often find it challenging to utilize data governance tools, with ease of use ranked as an important criterion by 2028 standards.
Integration with tools such as Power BI, Tableau, or notebooks would be great for handling large data processing.
Leveraging AI could simplify the process by automatically listing assets for movement, requiring only a couple of clicks, providing a win for administration purposes.
We require a data pipeline that can be read without latency and without any delay.
IP whitelisting is the area that SnapLogic definitely has to improve.
I would like to see if the execution can show the data flowing into those individual snaps and provide the same kind of error that I receive when validating, as that would be much more useful.
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.
I feel SnapLogic is very expensive compared to others.
There would be only one point of improvement if the price could be lower.
SnapLogic is positioned at around seven or eight out of ten in terms of pricing.
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 like the whole child-parent pipeline feature; it allows me to break up a process into smaller pieces and then have one big pipeline that controls these smaller pipelines.
SnapLogic provides inbuilt Snaplets, such as creating and closing an audit ID, removing duplicates, joining tables, writing to Oracle, files, XML, SF, SMTP connections, and more.
SnapLogic excels in data transformations, monitoring, and observability, providing scalability controls for the pipelines.
| Company Size | Count |
|---|---|
| Small Business | 24 |
| Midsize Enterprise | 14 |
| Large Enterprise | 65 |
| Company Size | Count |
|---|---|
| Small Business | 20 |
| Midsize Enterprise | 18 |
| Large Enterprise | 36 |
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.
SnapLogic offers a flexible, low-code environment for data integration and automation, utilizing an intuitive drag-and-drop interface with pre-built components to streamline the integration of multiple systems like Salesforce, SAP, and Workday, optimizing workflow automation.
SnapLogic provides robust ETL capabilities and broad connectivity options, enabling custom script implementation. Its visual design supports seamless deployment and efficient error management. Users benefit from automating data flows and enhancing data consistency through API integrations while managing both synchronous and asynchronous processes. However, areas needing improvement include user-friendly integrations, API management, and dashboard functionalities, as well as better transparency and error debugging. There is a call for improved handling of large datasets, enhanced connectivity, and advanced monitoring, DevOps integration, and AI functionalities. Customer support and documentation could be more comprehensive, especially for intricate operations.
What are SnapLogic's key features?
What benefits can users expect?
In industries like finance, healthcare, and logistics, SnapLogic is extensively implemented for ETL processes, data migration, and automating complex workflows to improve data accuracy and enhance operational efficiency. These capabilities allow organizations to streamline operations and focus on strategic initiatives.
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