Data volume and complexity have grown exponentially in the past five years, while data engineering talent continues to lag behind the current levels of demand. Enterprise data teams today spend a disproportionate amount of time resolving urgent data issues and recognize the imminent need for Data Observability. At Acceldata, we have had the privilege to work with data teams of the largest companies in the world, with a front row view of their data challenges. We observe petabytes of data for these enterprises and provide the much needed multi-dimensional visibility to the data teams that operate complex, mission-critical data products.
According to Gartner, Acceldata has established itself as the most comprehensive provider in the evolving category of Data Observability. In their latest report, “Gartner® Innovation Insight: Data Observability Enables Proactive Data Quality,” Gartner confirms that Acceldata’s shift-left data observability enables enterprises to address issues with their data and data pipelines before they affect critical data products.
In fact, Acceldata’s definition of data observability aligns with Gartner’s, which they describe as:
Put simply - Data Observability provides robust, integrated visibility over data and data landscapes to alert data teams to data reliability, infrastructure, pipeline, operational and cost issues therein, and enables them to take action and remediate these issues before they multiply, and prevent future occurrences.
The Acceldata Data Observability Platform maximizes data reliability, eliminates operational blindspots, and aligns cost to value for an organization’s data landscape. With data reliability, operational intelligence, and spend intelligence capabilities, Acceldata provides a single pane of glass with comprehensive insights into all five dimensions of data observability, which include:
Gartner provides their own perspective on what is necessary for a complete data observability solution, and this aligns with Acceldata’s vision. As you can see, they outline five “observations'' that a complete Data Observability solution should help customers with:
Besides these comprehensive, actionable insights, the Acceldata platform also goes a step further and helps enterprises achieve the ultimate end goal of not just resolving but preventing data reliability, operational, and cost issues in their data landscapes.
The Acceldata solution enables enterprises to monitor and detect data reliability, operational, and spend issues across the data supply chain, and also alerts the appropriate stakeholders and owners so that the issues can be remediated before they cause further damage. Additionally, Acceldata provides recommendations, which customers can use to resolve and prevent future occurrences.
Gartner provides a hierarchy of Data Observability elements in their "Four Critical Features of Data Observability." Acceldata helps customers with these "must-haves" of data observability (monitoring, detecting, alerting, and troubleshooting), but also provides the differentiating advantage of providing recommendation solutions to their issues and help our customers reach the ultimate end goal"of resolving and prevent future occurrences.
Acceldata, the market leader in Data Observability, is providing complimentary access to the 2023 Gartner report to help you identify opportunities that could benefit from data observability.
Photo by Sean Pollock on Unsplash