Data Profiling

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

Automated Data Profiling Solution

No code data profiling at scale

Use Telmai to profile and inspect your data at scale. Find patterns and anomalies that can guide you in building your data quality and analytics models. With Telmai you don’t need to sample your data or be limited to a subset. Telmai is built on a Spark architecture, giving you the ability to profile and investigate your data at scale and in its entirety.

Take a deep look into your unfamiliar data

Telmai’s built-in AI and machine learning can investigate not only structured data, but also data that is typically dark and hard to read and parse. This includes semi-structured, 3rd party information, or user generated tables that you don’t clearly know about. Telmai's data profiling investigates nested structures and flags anomalies and inconsistent patterns in your data content in just minutes.

Migrate to a modern data stacks with ease

Data profiling helps you migrate from legacy, undocumented data lakes and databases into modern cloud stacks without writing any code. As you move to a modern data stack, use Telmai to profile, understand, and curate the right data for your migration, use the knowledge to properly design and structure your data transformation and data warehousing. Once migrated Telmai becomes your modern data stack’s observability layer.

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The Leader in Data Quality

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

Integration

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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.”