Telmai Data Observability

What do you like best about the product?

I like Telmai because it is simple to track data quality and it quickly spot the issues without needing complicated setup. It saves time by automated checks and clear the alerts.

What do you dislike about the product?

Some deeper insights of Telmai application feels limited and understanding the detailed metrics takes extra attention. Few advanced options of Telmai feel less flexible than expected.

What problems is the product solving and how is that benefiting you?

Telmai helps me to catch the data issues early as compared to other applications. It reduces manual efforts and keeps the data quality consistent. Telmai gives me more confidence in reporting as it identifies data gaps easily.

What do you like best about the product?

The ease of implementation, the quality of customer support, and how often I use the product are all important factors for me.

What do you dislike about the product?

To be honest, there isn't really anything noteworthy in my opinion.

What problems is the product solving and how is that benefiting you?

to keep my data safe and secure

What do you like best about the product?

he most helpful thing about Telmai is that it provides complete, end-to-end data observability without relying on sampling. It continuously monitors data across the entire pipeline — from ingestion to consumption, detecting anomalies, drifts, and quality issues in real time. Its support for multiple data formats and open architectures makes it easy to integrate with modern data stacks, while the no/low-code interface helps both technical and business users identify and fix problems quickly. Overall, Telmai is most helpful in ensuring trust, accuracy, and reliability of enterprise data with minimal operational effort.

The main upsides of using Telmai are its strong data reliability, visibility, and ease of use. It ensures full data observability across pipelines without sampling, so every record is checked for accuracy. Telmai’s real-time anomaly detection helps catch issues early, preventing bad data from affecting analytics or AI models. It’s highly integrative, supporting diverse data formats and cloud or on-prem systems, making it flexible for complex enterprise environments. The low-code interface and automated insights save time for data engineers and make it accessible to business teams too. Overall, Telmai improves data quality, trust, and operational efficiency while reducing manual monitoring effort.

What do you dislike about the product?

he main downsides of Telmai are its initial learning curve and the effort needed to train and configure it effectively. Managing a large number of data assets can be a bit cumbersome, and some users feel the UI could be more intuitive for large-scale operations. Additionally, because Telmai offers full data validation and advanced monitoring, it can be costlier than simpler data-quality tools. Overall, while powerful, it requires some setup time and planning to get the most value from it.

What problems is the product solving and how is that benefiting you?

Telmai solves the problem of poor data visibility and quality across complex data pipelines. It detects issues like missing values, schema drifts, and data anomalies in real time, ensuring every record is validated instead of relying on samples. This helps catch problems early, preventing bad data from affecting analytics or AI models. For users, it brings greater trust, faster issue resolution, and reduced manual monitoring, ultimately improving data reliability and decision-making across the organization.

What do you like best about the product?

Monitoring the inflow of multiple data streams into a data warehouse can be extremely labor intensive especially if you are in an industry where data standards and transfer protocols are not well-established like in our business, advertising, where partners often change content format and structure without notice. Telmai’s software offers the power of AI with an ability to learn the intricacies and nuances of our data streams, flagging changes that represent anomalies that need attention.

What do you dislike about the product?

As with any AI product there is a need to spend time and effort training the system. There is also a learning curve for the data analysts so that they fully understand the true capabilities of the software. However, these requirements are not ponderous and still represent a significant reduction in time and effort versus trying to build similar capabilities in-house.

What problems is the product solving and how is that benefiting you?

We manage over 130 different data channels representing the full activities we have engaged in with our different ad campaigns. It goes beyond ‘simple’ bookkeeping. These data represent the raw material used for ROI analyses and all other efforts to validate the impact of these campaigns. Data capture and data quality are of paramount importance. Without a tool like this, we would be looking at the need for several additional headcounts strictly purposed for data monitoring and QA.

What do you like best about the product?

The tool was quick to set up, is cloud-native, has an intuitive UI and workflow, and generates ML-based anomalies out of the box without the need for complex configurations. It is the fastest tool to onboard data for observability, while also using its own external compute to keep costs from accruing in costly warehouses. It integrates well with our data source systems and the Telmai team has been able to work within our preferred communication tools to provide real-time support and advice. The tool is running smoothly in production and I use it every day.

What do you dislike about the product?

Management of large numbers of tables can be a hassle if not properly planned. There is some room for UI enhancements that would make that management easier.

What problems is the product solving and how is that benefiting you?

Telmai allows us to implement both business and general data quality rules on out critical data assets to ensure the highest quality data products for our internal and external customers. It is easy to onboard new data assets, customize rules for existing assets, and set up meaningful anomaly detection. We are able to use Telmai to run data quality tests, data regression tests, and provide assurance to our customers that the data is of the highest quality.