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What is DataOps.live platform?
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Overall experience with DataOps.live platform
“Automated Testing and Real-Time Monitoring Transparency Data Operations Stability and Oversight”
About Company
Company Description
DataOps.live is an enterprise that aims to strike the right balance between governance and agility in data pipelines on Snowflake. The main problem it solves is streamlining the DataOps lifecycle, leveraging its platform for agile DevOps automation. It fundamentally provides end-to-end orchestration, environment management, CI/CD, and automated testing. The platform is designed to aid faster development, foster parallel collaboration, enhance efficiencies, and cut down costs, while ensuring data assurance. Its prime focus is to help businesses achieve agility and data governance at an affordable total cost of ownership without making any compromises.
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DataOps.live platform Likes & Dislikes
The automated testing and real-time observability features are, without question, the standout elements of DataOps.live for me. They provide unwavering support around the clock, proactively identifying data anomalies into major issues -all while eliminating the need for constant manual oversight of dashboards. This has spared our team numerous after-hours interventions and instills a profound sense of confidence in the platform's reliability.
1.It has reduced the batch processing. 2. Automated validation ensures 99% data accuracy. 3.It has improved decision-making by 50-60% faster.
Scalability, data tests, integrations with data catalogue products, Snowflake ready. Costs monitoring
Delays in updates: Some users feel frustrated when new snowflake features take time to become available on the platform. Steep learning curve - advanced configuration and orchestration features can be complex for beginners. pricing transparency - problem with clear pricing upfront; you need to request the quote, which can show decision- making .
The setup can be complex to create. There is a learning curve which can cause some issues. The customisation of the pipelines can be little limited for some use cases.
Nothing in particular.
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DataOps.live platform Reviews and Ratings
- DATA ANALYST50M-1B USDManufacturingReview Source
Automated Testing and Real-Time Monitoring Transparency Data Operations Stability and Oversight
I've been knee-deep in DataOps.live for months now, and overall, it's been a total breath of fresh air for our data ops chaos. What started as a reliable workflow that just works. Pipelines that used to feel like herding cats are now automated and bulletproof, saving us hours of firefighting. The integration with Snowflake is spot-on, and the real-time monitoring is a great feature. It's like having a sixth sense for data glitches before they derail everything. - Engineer10B+ USDIT ServicesReview Source
Transforming ETL Processes: The Power of DataOps
As a lead engineer at a multinational bank. Before implementing DataOps, our ETL processes were slow, and any failure required manual intervention. With DataOps, we have automated job scheduling using control-m, real-time monitoring with Apache Airflow, and data quality checks with great expectations. Failures are detected instantly, alerts are triggered, and pipelines auto-recover, reducing our processing time. - Product Owner1B-10B USDTelecommunicationReview Source
DataOps.live allows us to deliver data from space in the hands of our customers
Product can scale. We ingest 65 billion rows of data per day with outlook for data to grow 635% in the next year. It easy to use and reduce resources onboarding overhead due to the existent online training and ability to move code from FB to dev to qa and prod and setup training projects. Automation, automation, automation. Snowflake seamless integration. Use of dbt. Kafka and cloud files data ingestion - Principal Database Administrator1B-10B USDRetailReview Source
DataOps.Live review
The DataOps.live team has been great to work with from proof-of-concept, negotiating the contract, and using the product. Their product made it easy to integrate existing code along with being able to use dbt and other features within DataOps pipelines. Working with their team has been a blast.