Insights on data quality, observability, and AI-native data pipelines.
A new beta feature that provides intelligent, actionable suggestions to optimize your Data Quality coverage — like your own always-on Data Quality advisor.
More than 80% of enterprise data is unstructured — but traditional Data Quality tools can't touch it. Lightup changes that with AI-powered monitoring for documents.
A preview of the latest Lightup features — from Virtual Tables and Unsupervised Learning to Data Lineage, Genie, and Unstructured Data Quality.
Lightup exposes its data model directly in Postgres, so any BI tool that connects to Postgres can build custom Data Quality dashboards — no extra data modeling required.
Data Lineage tracks and visualizes the flow of data from origin through every processing stage. Combined with Data Quality insights, it becomes an indispensable tool for modern data teams.
Data Quality Monitoring for Streaming Data Monitoring Data Quality for structured data at rest is challenging enough in modern data environments without adding another layer of complexity to it, li...
What Is Data Inconsistency? Data inconsistency is data that isn’t standardized or uniform across various data sources, systems, or formats. This often occurs when data is pulled from outdated or in...
Introduction In our latest Fireside Chat, Malcolm Hawker, CDO of Profisee, joins Lightup CEO and Founder Manu Bansal to unpack a question posed in Malcolm’s LinkedIn post: “Why should data teams be...
Zero-Config eliminates tedious clicks and repetitive configuration tasks for Auto Metrics — connect Lightup to your data source and get instant metadata insights with no manual setup.
Gartner formalized a joint category in 2024. Here's what the convergence of Data Quality and Data Observability means for data teams, vendors, and the future of trusted data.
You asked for more AI, and we're on it! We're excited to announce a new Lightup feature, available in beta preview. Get ready to meet Genie, Lightup’s copilot assistant, powered by GenA...
Taking time to reflect on the past five years of running Lightup has re-energized me as I remember our humble beginnings and all the lessons we’ve learned along the way — some hard, some easy, some...
We’re honored to announce that Lightup has been recognized as the Enterprise Data Quality Monitoring Solution Company of the Year 2024 by CIOReview! This award is a testament to our unwavering comm...
We’re excited to announce that our partnership with Databricks has expanded with full support for Unity Catalog through Databricks Partner Connect.
Data remediation is the systematic process of identifying and rectifying Data Quality issues within a dataset. Here's how Lightup automates the end-to-end workflow for enterprise data teams.
Lightup connects directly to Dremio so data teams can write no-code, low-code, and custom SQL Data Quality checks on any dataset across all connected data sources — in minutes.
We’re excited to kick off a new series, 5-Minute Fireside Chat with Lightup, where we engage with data leaders and experts in the data management field to discuss data trends, technology evolution,...
In a sea of LinkedIn memes, this one begs a discussion. Not just the meme itself, but how it’s framed: “You can either have a fast query or a quickly built query, you can’t have both.”
NEW YORK, April 2, 2024 — CB Insights today named Lightup to its eighth-annual AI 100, showcasing the 100 most promising private AI companies of 2024.
In today’s data-driven world, enterprises rely on data more than ever for everything from operations, customer experience, Artificial Intelligence...
In today’s modern enterprise where every question is a data question, the precision and reliability of data is non-negotiable.
You know the drill: In the world of enterprise Data Management, integrating a legacy Data Quality platform is generally perceived as a daunting initiative.
Today’s data-driven enterprise organizations rely heavily on data to make informed decisions, drive innovation, and gain a competitive edge.
In the ever-evolving realm of Data Quality Monitoring and Data Observability, we’ve witnessed a significant technology transformation over the past few years.
Embarking on a Data Quality journey is a crucial endeavor for data-driven organizations. The initial fundamental steps often include confirming data frequency...
Selecting the best Data Quality Monitoring tool for your organization is a critical decision. With countless options available in the market, it can be daunting to make the right choice.
We’re excited to announce that Lightup now integrates with Collibra’s Data Governance and Catalog platform.
What is Data Observability vs. Data Quality Monitoring? What are they used for?Are they interchangeable? Do they overlap? Whether posed by customers, investors, or reporters, these questions inevit...
Meet Matt Sandler, Sr. Director of Data and Analytics, McDonald's We’re excited to announce that Matt Sandler, Senior Director of Data and Analytics at McDonald’s, will be our featured custom...
Managing data quality is critical to enabling informed business decision making, but McDonald’s scale means massive amounts of data — that’s...
Image by Juliana Castro , CC BY-SA 4.0, via Wikimedia Commons In the first part of this series, we took a look at the different factors that impact your data quality and symptoms of “bad data”. We ...
Photo by Mike Cohen on Flickr For growth-minded organizations, the ability to effectively respond to market conditions, competitive pressures, and customer expectations is dependent on one key asse...
Photo by Markus Spiske from Pexels Introduction Why has data observability suddenly become such a hot topic? What’s changed in the data stack that’s made observability a new, different, and solvabl...
