When data quality breaks, everything else breaks
When data quality breaks, everything breaks. Silent errors corrupt your models. Dashboards become unreliable. AI systems deliver wrong answers. Your team spends weeks debugging instead of moving forward.
Actian Data Observability monitors your data continuously. It catches problems early, so your data stays reliable as you scale.
- Monitor all your data pipelines in one view.
- Detect and alert on issues automatically.
- Predictable cloud costs.
- Secure, zero-copy processing.
Monitor all your data pipelines in one view.See Data Observability in Action
Get a personalized demo tailored to your data environment and see how intelligent agents can transform data quality from reactive firefighting to proactive, continuous monitoring.
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Recognition from industry experts
Exemplary
Actian is named a “Leader” 2025 Data Intelligence Buyers Guide in Product Experience, Capability, and Manageability. These highlight the Actian Data Intelligence Platform’s strength in technical depth and ease of administration.
Metadata Management Solution of the Year
The 2025 Data Breakthrough Award recognizes the breakthrough innovation of the Actian Data Intelligence Platform.
Next-Generation Data Catalog
Eckerson Group Top Tier Report “Next-Generation Data Catalogs” lists the Actian Data Intelligence Platform.
We were able to centralize our analytics & BI data into a single solution. The data catalog design via the Studio app enabled data transparency and clarity in the documentation of our data assets, while the Explorer app enabled our end users to find the right data for their respective use cases via its data discovery features, which represented a big advantage for Lufthansa Cargo.
We chose the data catalog solution after a thorough review of the solutions available on the market as it was perfect for Gewobag: it is available in German, it automatically connects and synchronizes metadata from all of our sources, and it is unrivaled in terms of flexibility and configurability of properties and metamodeling. In addition, the product’s user-friendliness seduced our data teams, and we hope that it will have the same recognition from the business users. Finally, we were accompanied by sales and support teams who carefully listened to us and adapted the product to our specific needs, right from the POC phase.
In our opinion, only the business functions can truly transform the company into a data-driven one. Data Catalog is the tool they need – efficient and usable – so that they are fully aware of the data they have available. It builds the bridge between business and data at Autostrade. From a business perspective, it is fast, complete, easy to understand, and user-friendly. Whereas from an IT perspective, it is agile, scalable, and continuously upgradeable.
We handle gigantic volumes of market data from a variety of providers, technologies and formats. We were looking for a solution that would allow us to get a clear picture and provide more context to our data assets. Data Catalog meets these objectives, and answers strategic questions such as: What data do we have? What are their sources and cost? Who has access to it? What are our data assets’ metadata and relationships? We look forward to building a long-term partnership and creating significant value together.
The company is concentrating on the core of data cataloging, thereby setting itself apart from the competition. The tool is clearly arranged for me. The essential core functions run stably, even in larger scenarios. In terms of look and feel, it is clearly aimed at business users. I think the idea and approaches have succeeded in making the data catalog grow adaptively with the company.
One platform, two dedicated apps:
Actian Explorer and Actian Studio
Make data your most trusted asset
Data observability is a core capability within a data intelligence platform, providing continuous visibility into data quality, freshness, lineage, and usage so analytics and AI systems can operate reliably.
See how Actian Data Observability provides the missing layer of trust and reliability needed to turn your existing data into a powerful asset for AI innovation.
