Telmai Reviews & Product Details

Telmai has fundamentally changed how we approach data reliability at scale. The ML-driven anomaly detection catches issues in our pipelines before they impact downstream consumers—things like schema drift, data freshness violations, and statistical outliers that would be nearly impossible to monitor manually across our data estate. What sets it apart is the balance between automation and control: we get intelligent, out-of-the-box checks that adapt to our data patterns, but we can also define custom validation rules for business-critical datasets. This has shifted our team from firefighting data incidents to proactively maintaining SLAs, and the automated alerting means stakeholders get notified immediately when thresholds are breached. The integration with our existing stack of cloud data storage providers like Amazon S3, Google, Snowflake, and Starburst was straightforward, and it scales without adding significant compute overhead. Telmai has become a non-negotiable part of our data reliability infrastructure. I am using the tool on a daily basis.

Additionally, the support from the Telmai team has been fantastic. They are always willing to help with a tricky SQL-based data quality rule implementation or to help troubleshoot any issues we're having with the platform. The team is very receptive to our product feedback as well. Review collected by and hosted on G2.com.

The system’s basic error handling works well, but initially we needed to build a more robust alerting workflow outside of Telmai. We connected Telmai's email data alerts to trigger a Zapier workflow, pushing tickets to Jira and alerts to Slack. This workflow took some extra time to set up. The team has since implemented new features like a direct Slack integration, but since we already have a setup that works we haven't tested it out yet. With the improvements the team has already made it's likely that this outside workflow would not be needed today. Review collected by and hosted on G2.com.

Telmai has transformed our approach to data quality by identifying and automatically resolving data inconsistencies before they cause disruptions. This proactive monitoring minimizes reactive manual work and frees our engineering team to focus on strategic initiatives. The platform's intuitive interface empowers both business and technical users to define data policies, ensuring compliance while reducing risk. Telmai integrates seamlessly into our complex data environment, scaling to our needs without adding operational overhead or cloud costs. Review collected by and hosted on G2.com.

While the system offers basic error handling, built-in advanced error handling and support would be a great addition. The Telmai team has assured us that this feature is on their roadmap for later this year. Review collected by and hosted on G2.com.

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. Review collected by and hosted on G2.com.

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. Review collected by and hosted on G2.com.

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. Review collected by and hosted on G2.com.

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. Review collected by and hosted on G2.com.

The ease of implementation, the quality of customer support, and how often I use the product are all important factors for me. Review collected by and hosted on G2.com.

To be honest, there isn't really anything noteworthy in my opinion. Review collected by and hosted on G2.com.

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. Review collected by and hosted on G2.com.

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. Review collected by and hosted on G2.com.

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. Review collected by and hosted on G2.com.

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. Review collected by and hosted on G2.com.

Analyze and detect in a timely manner data quality issues from a deep perspective. Having a variety of views makes it easier to detect issues, prioritize which ones to tackle, and size their impact.

Data Observability with great details is critical to us as a data company, as is being able to drill down to help the investigation and pinpoint the root cause, as well as high level summaries for non-technical teams to share to show improvements in data quality. Review collected by and hosted on G2.com.

Everything has been going well so far. Each request has been taken into consideration by the product team. Review collected by and hosted on G2.com.

Telmai is a platform that appears to be designed to help data teams detect and investigate anomalies in real time. Using machine learning and artificial intelligence algorithms, Telmai can help identify unusual patterns and behaviors in data that may indicate potential issues or abnormalities. Review collected by and hosted on G2.com.

Telmai is a technological platform designed for real-time data monitoring, which may come at a higher cost than other more general-purpose data monitoring tools. However, the cost can be customized as per the utilization and need Review collected by and hosted on G2.com.

The Telmai team really understands the data quality challenges very well. As a Sr VP of Data engineering for me it was critical to ensure the quality of the data my team was managing had a high degree of confidence with the stakeholders. However I needed a more automated and ML based approach towards ensuring so we optimize the team productivity and also control the infrastructure and engineering spend on these initiatives low.

Telmai was super easy to on-board and get started. We specifically liked that the Telmai easily integrated with our heterogeneous data ecosystem and provided deep insights in days.

The visual and interactive UX made it easy to identify and resolve blind spots in data for both technical and non-technical users. Collaboration on tools was easy and I got better visibility into our data health. We specifically liked that the tool easily integrated with our heterogeneous data ecosystem and provided insights. Overall we were able to greatly accelerate our data quality journey using Telmai. Review collected by and hosted on G2.com.

When we engaged with Telmai, the product was in its nascent stage but the team is super solid and highly motivated to add capabilities and address gaps rapidly. Review collected by and hosted on G2.com.