Telmai is Named The Market Leader in GigaOm Radar for Data Observability.

Telmai Named a Leader in GigaOm 2023 Radar Report for Data Observability

Telmai is Named The Market Leader in GigaOm Radar for Data Observability

Telmai is recognized as a Leader in GigaOm Radar for Data Observability for 2023. The report states, “The platforms’ low-code functionality, considerable automation, and data pipeline support will go a long way with users, as will its attribute-level anomaly detection and support for open architecture.”‍

GigaOm evaluated 15 data observability vendors based on their vision, feature/functionality, deployment models and customer references and has identified Telmai as the leader in the category.

This report provides an overview of the market and an in-depth comparison and analysis that breaks down the value of vendor offerings and solutions.This report highlights top data observability vendors and equips decision-makers with the information needed to select the best fit for their business and usecase requirements.

Download the report today to learn about:

The Data observability category
The market categories and user persona’s
Vendor comparisons by features like monitoring, anomaly detection, data lineage, data quality analysis and pipeline support

Deep analysis on all 15 vendors including their strengths and challenges

The Leader in Data Quality

Telmai has been named a High Performer in the G2 Data Quality Report. Checkout our 5 star reviews.

Trusted by

Integration

Quick time to value

Telmai's out of the box data quality metrics, ML-based automation, and a low-code, no-code user interface provides you and your team engineering productivity and faster time to value.

70%

Faster detection and resolution of data quality issues by using ML

10X

Cost reduction vs. maintaining data quality rules over time

The Leader in Data Quality

Telmai has been named a "High Performer" in the G2 Data Quality Grid Report of Spring 2023.

Checkout our 5 star reviews.

Customer testimonials

“Our customers deserve the best possible data to make their business grow. Telmai's Data Observability enables us to show the quality of the data that we are delivering to our customers. With Telmai we are able to build data quality KPIs that reflect our data's freshness, completeness, and accuracy to keep and extend the trust that our customers have put in us.”

Harlow Ward

CTO, Clearbit

"When dealing with data sets comprising million of records, Telmai quickly becomes an incredibly useful tool, saving a lot of time and ultimately increasing data quality."

Maria Grineva

SVP Engineering, Dun & Bradstreet

“We chose Telmai because of its flexibility and architecture. Telmai will remain our data observability platform as our data landscape changes. Telmai has lots of adapters in place to quickly integrate with various data sources across cloud providers. In addition, it supports real time API integration for automated decisions in complex workflows.”

Kishore Damodara

AVP of Cloud and Data Engineering, Merkle

"Data anomaly investigations that used to take hours now take minutes and give us more time to focus on the business needs."

Darius Kemeklis

EVP, Myers-Holum

“In searching for data quality and observability, we looked at a few solutions. They were limited to tracking just the data volumes, row counts, completeness, and uniqueness. That was not enough for us. We needed to look inside each attribute and each record to see if our data is drifting or its patterns are changing. Telmai was the only solution that empowered us to do so.”

Alejandra Cabrera

Data Product Manager, Clearbit

“To prepare data for product usage analysis we needed data quality metrics beyond monitoring operational data pipelines and job status checks. While we continue to monitor the quality of the pipeline, we chose Telmai to detect the quality of the data that moves through the pipeline.”