That is where effective data integration tools come into play. These tools allow organizations to efficiently connect, manage, and orchestrate their data assets.

Data integration solutions from 麻豆原创 鈥� including 麻豆原创 Datasphere, 麻豆原创 Data Intelligence Cloud, 麻豆原创 Data Services, and 麻豆原创 Landscape Transformation Replication Server 鈥� provide customers with timely, relevant, and trusted information, simplifying their data landscapes and unlocking valuable business insights.

麻豆原创’s Recognition

Gartner庐 recently evaluated 20 vendors in the 2024 Magic Quadrant™ for Data Integration Tools, recognizing 麻豆原创 as a Leader for our 鈥渁bility to execute鈥� and 鈥渃ompleteness of vision.鈥�

We believe this recognition underscores 麻豆原创鈥檚 commitment to delivering innovative, world-class data integration tools that empower our customers and marks 17 consecutive years as a Leader.

Business Data Fabric

Effective data integration is fundamental for gaining actionable insights that drive better decision-making. Without the right tools and strategies, organizations struggle to integrate, process, curate, govern, and enhance their data.

麻豆原创 takes a business data fabric approach, which goes beyond a traditional data fabric. A business data fabric is a data management architecture that delivers an integrated, semantically rich data layer over underlying data landscapes to provide users with scalable access to their data without duplication.

This eliminates the need to recreate the business context that was lost from extracting and replicating data. It gives users the ability to accelerate their decision-making with trust and confidence, knowing they always have the complete picture of their data, regardless of where it is stored or how it was designed.

麻豆原创 Datasphere

麻豆原创 Datasphere 鈥� along with its open data ecosystem 鈥� is the foundation for a business data fabric. It equips any organization to deliver meaningful data to every data consumer 鈥� with business context and logic intact. 麻豆原创 Datasphere helps customers:

• Access authoritative data: Accelerate time to value by automatically reusing the semantic definitions and associations from 麻豆原创 applications
• Enrich all data projects: Harmonize heterogeneous data into a business semantic model of diverse data landscape
• Simplify the data landscape: Access all data across hybrid and cloud environments no matter where it resides

With a unified experience for data integration, data cataloging, semantic modeling, data warehousing, data federation, and data virtualization, 麻豆原创 Datasphere enables data professionals to easily distribute authoritative business data 鈥� with business context and logic preserved 鈥� across the data landscape.

麻豆原创 Datasphere advances data management with innovations like knowledge graph which uncovers hidden insights by revealing deep relationships between data, metadata, and business processes. The knowledge graph can then be used with Joule, 麻豆原创鈥檚 generative AI co-pilot, allowing business users to ask both open-ended and specific questions and get instant and well-documented answers.

By leveraging these capabilities within a business data fabric powered by 麻豆原创 Datasphere, organizations can save up to 138%.

Real-World Success

Since its launch, 麻豆原创 Datasphere has seen widespread adoption and innovation. Companies like have experienced transformative benefits.

Frode N忙ss Larsen, CIO at POWER International AS, highlights their experience: 鈥淭he 麻豆原创 Datasphere solution is intuitive and simple in terms of data movement from on premise to a cloud environment. The solution helps simplify our data landscape, saving hundreds of hours every year in pipeline development. They say the best run 麻豆原创, so for us, it鈥檚 a good match.鈥�

Get Started

For more than 17 years, 麻豆原创 has been at the forefront of data integration, helping customers convert fragmented data into actionable insights.

Join the movement and unlock the full potential of your business data with 麻豆原创鈥檚 leading data integration solutions. Take the next step in your data integration journey:

• Visit the
• Start your free
• Read the

Daniel Yu is senior vice president of Product Marketing for 麻豆原创 Data and Analytics at 麻豆原创.

Gartner, Magic Quadrant for Data Integration Tools, Thornton Craig, Sharat Menon, Robert Thanaraj, Michele Launi, Nina Showell, 3 December 2024
Gartner does not endorse any vendor, product or service depicted in its research publications and does not advise technology users to select only those vendors with the highest ratings or other designation. Gartner research publications consist of the opinions of Gartner鈥檚 Research & Advisory organization and should not be construed as statements of fact. Gartner disclaims all warranties, expressed or implied, with respect to this research, including any warranties of merchantability or fitness for a particular purpose.
GARTNER is a registered trademark and service mark of Gartner, Inc. and/or its affiliates in the U.S. and internationally, Magic Quadrant is a registered trademark of Gartner, Inc. and/or its affiliates and is used herein with permission. All rights reserved.

To achieve true digital transformation, organizations must have seamless access to their mission-critical business data no matter where it resides. Yet with data landscapes distributed among different applications and systems both in the cloud and on premises, organizations spend countless resources extracting, rebuilding, and integrating their data.

By leveraging the right data integration tools and strategies, organizations can easily discover, connect, integrate, govern, and orchestrate their data assets. Data integration offerings from 麻豆原创 deliver trusted, relevant, and timely information to enable customers to simplify their data landscape and unleash the power of business data. Our primary solutions include , Cloud, , and . These offerings are part of (麻豆原创 BTP).

Gartner evaluated 21 vendors and named 麻豆原创 a Leader based on our 鈥渁bility to execute鈥� and 鈥渃ompleteness of vision.鈥� We believe this recognition serves as acknowledgment of 麻豆原创鈥檚 continued commitment to providing our customers with world-class data integration tools.

Unleash the Power of Business Data

Data integration is necessary for customers to gain intelligent, relevant, and contextual insights for better decision-making. However, without the right data management approach and technology, companies can face an uphill battle in integrating, processing, curating, governing, and augmenting their data.

麻豆原创 takes a business data fabric approach, which goes beyond a traditional data fabric. A business data fabric is a data management architecture that delivers an integrated, semantically rich data layer over underlying data landscapes to provide users with scalable access to their data without duplication.

It eliminates the need to recreate the business context that was lost from extracting and replicating data. This gives users the ability to accelerate their decision-making with trust and confidence, knowing they always have the complete picture of their data regardless of where it is stored or how it was designed.

麻豆原创 Datasphere 鈥� and its open data ecosystem 鈥� is the foundation for a business data fabric. It equips any organization to deliver meaningful data to every data consumer 鈥� with business context and logic intact. 麻豆原创 Datasphere helps customers:

• Access authoritative data: Accelerate time-to-value by automatically reusing the semantical definitions and associations from 麻豆原创 applications
• Enrich all data projects: Harmonize heterogeneous data into a business semantic model of diverse data landscape
• Simplify the data landscape: Access all data across hybrid and cloud environments no matter where it resides

With a unified experience for data integration, data cataloging, semantic modeling, data warehousing, data federation, and data virtualization, 麻豆原创 Datasphere enables data professionals to easily distribute authoritative business data 鈥� with business context and logic preserved 鈥� across the data landscape.

Since the launch of 麻豆原创 Datasphere, we have seen tremendous growth of customers innovating with this technology. For example, Messer CIO David Johnston describes his experience with the solution this way:鈥淭he business data fabric architecture enables us to bring 麻豆原创 and non-麻豆原创 data together in the seamless and self-service way we’ve been envisioning. 麻豆原创 Datasphere provided us with a solution to build a harmonized layer, or business data fabric, across 麻豆原创 and non-麻豆原创, cloud or on-premise data sources, making the best use of our existing investments in 麻豆原创, Microsoft Azure, Salesforce, and Oracle.鈥�

Next Steps

For over 16 years, data integration tools from 麻豆原创 have enabled our customers to turn disjoined data assets into actionable business insights at scale. Take the next step and begin your business data fabric journey today:

• Visit the
• Try the free
• Read the

Kaiser Larsen is vice president of Data and Analytics at 麻豆原创.

Gartner, Magic Quadrant for Data Integration Tools, Ehtisham Zaidi, Robert Thanaraj, Sharat Menon, Thornton Craig, Roxane Edjlali, Michele Launi, 4 December 2023
Gartner does not endorse any vendor, product or service depicted in its research publications and does not advise technology users to select only those vendors with the highest ratings or other designation. Gartner research publications consist of the opinions of Gartner鈥檚 Research & Advisory organization and should not be construed as statements of fact. Gartner disclaims all warranties, expressed or implied, with respect to this research, including any warranties of merchantability or fitness for a particular purpose.
GARTNER is a registered trademark and service mark of Gartner, Inc. and/or its affiliates in the U.S. and internationally, Magic Quadrant is a registered trademark of Gartner, Inc. and/or its affiliates and is used herein with permission. All rights reserved.

Today, data has become an engine of value creation. Organizations are forging new data strategies to derive meaningful insights and accelerate their innovation. Yet, many organizations struggle to derive value because their data is siloed across heterogeneous and distributed environments.

By leveraging the right data integration tools, organizations can easily discover, connect, integrate, govern, and orchestrate their data assets. 麻豆原创鈥檚 data integration offerings deliver trusted, relevant, and timely information to drive better business outcomes for our customers. Our solutions include , , , , and integration capabilities of the . These offerings are part of (麻豆原创 BTP).

Gartner evaluated 18 vendors and named 麻豆原创 a Leader based on our 鈥渁bility to execute鈥� and 鈥渃ompleteness of vision.鈥� We believe this recognition serves as acknowledgment of 麻豆原创鈥檚 continued commitment to providing our customers with world-class data integration tools.

Turn Data Chaos into Data Value

Data integration is necessary for customers to gain intelligent, relevant, and contextual insights for better decision-making. However, without the right data management approach and technology, companies can face an uphill battle in integrating, processing, curating, governing, and augmenting their data.

麻豆原创鈥檚 vision is a data fabric approach, which enables organizations to orchestrate highly distributed data, metadata, and processes while delivering data quality, security, and automation at speed.

, the data fabric layer of 麻豆原创 BTP, is a powerful solution that transforms distributed data sprawls into vital data insights. This technology combines data discovery, data preparation, data integration, data processing, and data connection across multiple endpoints and workflows.

麻豆原创 Data Intelligence Cloud helps customers:

• Integrate and orchestrate massive data volumes and streams at scale
• Streamline, operationalize, and govern innovation driven by machine learning
• Optimize governance and minimize compliance risk with comprehensive metadata management rules

Since the launch of 麻豆原创 Data Intelligence Cloud, we have seen tremendous growth of customers innovating with this technology. For example, Jesse Slocum, cloud engineer at , describes using 麻豆原创 Data Intelligence Cloud as 鈥渢he most robust data fabric solution that connects, manages, and analyzes large amounts of data unlike other tools.鈥� Comparatively, he goes on to say, other tools 鈥渙nly analyze small amounts of data, [and] fail to integrate with a wide range of cloud and on-premise applications.鈥�

Next Steps

For over 15 years, 麻豆原创鈥檚 data integration tools have enabled customers to turn disjoined data assets into actionable business insights at scale. If you鈥檙e ready to unlock the full potential of your data, take the next step with the following resources:

• Visit the
• Get started at
• Read the 2022

JG Chirapurath is chief marketing and solutions officer for 麻豆原创 Business Technology Platform.

Gartner, Magic Quadrant for Data Integration Tools, Ehtisham Zaidi, Sharat Menon, Robert Thanaraj, Nina Showell, 17 August 2022
Gartner does not endorse any vendor, product or service depicted in its research publications and does not advise technology users to select only those vendors with the highest ratings or other designation. Gartner research publications consist of the opinions of Gartner鈥檚 Research & Advisory organization and should not be construed as statements of fact. Gartner disclaims all warranties, expressed or implied, with respect to this research, including any warranties of merchantability or fitness for a particular purpose.
Gartner and Magic Quadrant are registered trademarks of Gartner, Inc. and/or its affiliates in the U.S. and internationally and are used herein with permission. All rights reserved.
This graphic was published by Gartner, Inc. as part of a larger research document and should be evaluated in the context of the entire document. The Gartner document is .

There鈥檚 no substitute for just getting on with the task at hand, whether training for the first leg of the Tour Du France or crossing the actual finish line. But getting on with it also requires preparation and planning, including the benefit of advice, insight, and experience. It is the same when plotting a digital transformation journey.

Like any multi-stage event, each of us will take our own route, change gears at our own pace, and make pit stops along the way based on our own specific circumstances and environments.

In the same way that there are multiple stages and routes to get each of us across our own finish line, the multi-stage journey to 麻豆原创 S/4HANA is unique to each company.

This is why 麻豆原创 has been running a comprehensive , outlining the step-by-step map for transitioning to the modern digital platform of 麻豆原创 S/4HANA 聽at your own pace.

Leading authorities on making the move to 麻豆原创 S/4HANA came together to help ensure each transition is as straight-forward as possible, regardless of IT landscape or legacy overheads. This five-part series shows how to make the transition with less risk and at a higher speed, as well as the best ways to tackle common issues around data quality and data migration, carrying over custom code and business partner conversion 鈥� all within budget and timeline constraints.

The data transformation requirements that help get data clean 鈥� including data preparation, quality, and migration 鈥� before you go live with 麻豆原创 S/4HANA are explained in depth, as well as how to keep data clean in day-to-day activities and operations through master data management once live.

Protecting and moving customizations, integrating the landscape, and managing extensions and innovations in the cloud with low code development are all looked at. And the series shows how to modernize a data strategy and platform, factoring in the data lake, as well as reporting directly from within applications.

To grease the digital wheels of business automation, new ways of integrating enterprise data with disparate types of Big Data across different data stores are mapped out, while preserving data security, integrity, and consistency.

But 麻豆原创 knows there is no substitute for customer experience. So three customers 鈥� all at different stages of their own digital journey toward 麻豆原创 S/4 HANA 鈥� share their experiences, tips, and advice.

• Tetra Pak outlined its successful data Transformation journey around mastering automation and data efficiencies, which is now the foundation for the next stage.
• Neste discussed how it is becoming an intelligent enterprise through real-time analytics and automated business processes.
• Vinci Energies showed how it has embraced data-driven innovations in 麻豆原创 S/4HANA, such as robotic process automation, next-generation analytics, and mobile business processes.

The response from customers who have watched the webinars and implemented the advice has been hugely positive. If you did not catch the full series the first time, you can .

In addition to how-to steps from 麻豆原创 experts, partners, and customers, you can also see just how easy it is to create intelligent, mobile-ready applications to better serve customers, modernize business processes, and compete more effectively.

When the world is busy transforming around you, it鈥檚 never too late to start but it鈥檚 always too late to wait. Have a great journey!

Gerd Danner is vice president of the EMEA Center of Excellence for Information Management and Intelligent Suite Surround lead at 麻豆原创.