Data Migration

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

The Data Migration Quality Metrics You Need

Automated Profiling and Auditing

Organizations migrating to new cloud data warehouses or data lake architectures need easy and automated profiling and auditing tools to understand their current data structures and content. Telmai enables profiling, pattern, and outlier detection, and analysis, helping you understand the content of your data and its values at a granular level before migration.

Data Testing and Validation

Telmai’s data testing and validation features help ensure a well-designed and high-quality data lake or cloud warehouse environment. Track essential data migration metrics like completeness, consistency, and integrity to guarantee accurate migrated data.

Faster and More Cost-Efficient Migrations

Migration projects are less risky and completed in a fraction of time and resources, given Telmai’s low-code no-code product that does not require knowledge of SQL or technical data engineering skills.

Thank you for requesting a demo! We look forward to meeting you.

Oops! Something went wrong while submitting the form.

Trusted by

The Leader in Data Quality

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

Integration

Trusted by

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.”