Oracle has been named a Leader in Gartner’s 2018 “Magic Quadrant for Data Integration Tools” report based on its ability to execute and completeness of vision. Oracle believes that this recognition is a testament to Oracle’s continued leadership and focus on in its data integration solutions.
The Magic Quadrant positions vendors within a particular quadrant based on their ability to execute and completeness of vision. According to Gartner’s research methodologies, “A Magic Quadrant provides a graphical competitive positioning of four types of technology providers, in markets where growth is high and provider differentiation is distinct:
Leaders execute well against their current vision and are well positioned for tomorrow.
Visionaries understand where the market is going or have a vision for changing market rules, but do not yet execute well.
Niche Players focus successfully on a small segment, or are unfocused and do not out-innovate or outperform others.
Challengers execute well today or may dominate a large segment, but do not demonstrate an understanding of market direction.”
Gartner shares that, “the data integration tools market is composed of tools for rationalizing, reconciling, semantically interpreting and restructuring data between diverse architectural approaches, specifically to support data and analytics leaders in transforming data access and delivery in the enterprise.” The report adds “This integration takes place in the enterprise and beyond the enterprise — across partners and third-party data sources and use cases — to meet the data consumption requirements of all applications and business processes.”
Download the full 2018 Gartner “Magic Quadrant for Data Integration Tools” here.
Oracle recently announced autonomous capabilities across its entire Oracle Cloud Platform portfolio, including application and data integration. Autonomous capabilities include self-defining integrations that help customers rapidly automate business processes across different SaaS and on-premises applications, as well as self-defining data flows with automated data lake and data prep pipeline creation for ingesting data (streaming and batch).
A Few Reasons Why Oracle Data Integration Platform Cloud is Exciting
Oracle Data Integration Platform Cloud accelerates business transformation by modernizing technology platforms and helping companies adopt the cloud through a combination of machine learning, an open and unified data platform, prebuilt data and governance solutions and autonomous features.
Here are a few key features:
Unified data migration, transformation, governance and stream analytics – Oracle Data Integration Platform Cloud merges data replication, data transformation, data governance, and real-time streaming analytics into a single unified integration solution to shrink the time to complete end-to-end business data lifecycles.
Autonomous – Oracle Data Integration Platform Cloud is self-driving, self-securing, and self-repairing, providing recommendations and data insights, removing risks through machine learning assisted data governance, and automatic platform upkeep by predicting and correcting for downtimes and data drift.
Hybrid Integration –Oracle Data Integration Platform Cloud enables data access across on-premises, Oracle Cloud and 3rd party cloud solutions for businesses to have ubiquitous and real-time data access.
Integrated Data Lake and Data Warehouse Solutions – Oracle Data Integration Platform Cloud has solution based “elevated” tasks that automate data lake and data warehouse creation and population to modernize customer analytics and decision-making platforms.
Discover DIPC for yourself by taking advantage of this limited time offer to start for free with Oracle Data Integration Platform Cloud.
Check here to learn more about Oracle Data Integration Platform Cloud.
Gartner Magic Quadrant for Data Integration Tools, Mark A. Beyer, Eric Thoo, Ehtisham Zaidi, 19 July 2018.
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