Gartner

2023 Gartner Peer Insights Voice of the Customer: Data Integration Tools. Denodo has been recognized by Gartner as a Customers’ Choice among other data integration Tools, with an average overall rating of 4.4 out of 5.0

Denodo is a Leader for a third year in Row! Read the report to understand why Denodo has once again been named a Leader.

Data Integration Tools reaches Mature Mainstream while Data Fabric and Active Metadata Management are moving through Hype Cycle as Emerging Data Management TechnologiesTo underscore the importance of Data Integration Tools in the Hype Cycle, Gartner says, “Organizations need data integration tools in order to support distributed data management and deliver data at all latencies across a range of use cases. These include data integration to support analytics, data science, MDM, application integration, self-service data preparation, etc.”

Many supply chain and manufacturing companies are looking for ways to accelerate the provision of data-driven intelligence to their users, to meet business goals. More often than not, however, they struggle to find the optimal mix of technologies for effective data management, which is critical in a wide variety of supply chain use cases.Download this Gartner® report to learn how your organization can harness the power of logical data warehousing to meet or exceed your business goals.

According to this report, “Through 2024, manual data integration tasks will be reduced by up to 50% through the adoption of active metadata enabled data fabric design patterns."

Data Fabric has been a hot topic in town and Gartner has termed it as one of the top strategic technology trends for 2022. Noticeably, many mid-to-large organizations are also starting to adopt this logical data fabric architecture while others are still curious about how it works.With a better understanding of data fabric, you will be able to architect a logical data fabric to enable agile data solutions that honor enterprise governance and security, support operations with automated recommendations, and ultimately, reduce the cost of maintaining hybrid environments.In this session, with...

Data Fabric has been a hot topic in town and Gartner has termed it as one of the top strategic technology trends for 2022. Noticeably, many mid-to-large organizations are also starting to adopt this logical data fabric architecture while others are still curious about how it works.With a better understanding of data fabric, you will be able to architect a logical data fabric to enable agile data solutions that honor enterprise governance and security, support operations with automated recommendations, and ultimately, reduce the cost of maintaining hybrid environments.In this on-demand session...

In the last few years, Data Virtualization technology has experienced tremendous growth, emerging as a key component for enabling modern data architectures such as the logical data warehouse, data fabric, and data mesh.Gartner recently named it “a must-have data integration component” and estimated that it results in 45% cost savings in data integration, while Forrester has estimated 65% faster data delivery than ETL processes.However, there are still misconceptions in the market about data virtualization technology, how it can be leveraged, and the real benefits that it can provide.Catch...

Presented at Data ROI Online APACGartner has predicted that organizations using Data Virtualization will spend 40% less on data integration than those using traditional technologies. Some of the Denodo customers have experienced time-to-deliver improvements of up to 90% within their data provisioning processes and cost savings of 50% or more. Join us for this webinar to discover how Data Virtualization can help accelerate your time-to-value from data while reducing the costs at the same time.Watch on-demand this session and learn how Data Virtualization:Has accelerated digital transformation...

Presented at FIMA Virtual EventWatch on-demand this webinar to learn:How do Gartner and Forrester define data fabric?The two variants of data fabric – physical and logical. Which one is better?Why and how should you implement data fabric for enterprise data management?Are there examples of BFSI firms that have adopted this approach?