Customer Satisfaction
7.1/10
7.1
User Experience
7.9/10
7.9
Technical Foundation
4.9/10
4.9
Business Value
8.0/10
8.0

One Data

What is One Data?

End-to-end platform for the design, development and provision of data products with functions for pipelining and cataloging as well as governance, data quality and marketplace functions.

Data Management & Storage
– Databases & Access Engines
● Data Intelligence, Data Catalogs and Marketplaces
– Data Operations
● Data Pipelining and Data Quality

= covered

About One Data

The information in this section has been provided by the vendor of One Data.

Self-description of the vendor

One Data, a software company serving customers across all industries worldwide, has redefined the landscape of data product development with its market-first Data Product Builder. Infusing AI into every stage of data product development, the software cuts manual work, ensuring a rapid, easy, and cost-effective way to generate measurable business value from data. The profound expertise in data science and over a decade of experience in data-driven projects have led One Data to develop a platform that ensures the quality, integrity, and accessibility of data, promoting a data-driven culture and literacy across organizations. With the establishment of a Data Product Marketplace, One Data strategically dismantles data silos, creating a central space for data collaboration and seamless sharing. The company concentrates on bridging the gap between data experts and non-technical business users, enabling them to build, manage, and share data products efficiently while ensuring interoperability and high data quality. One Data is not just a software provider; they focus on people, driving business innovation, and utilizing data and analytics to power decision-making in a tangible, impactful manner.

One Data screenshots

One Data videos

References
thyssenkrupp SE, ebm-papst, PAYBACK GmbH, Markant Handels- und Industriewaren-Vermittlungs AG, ZF Friedrichshafen AG, Wiener Börse, Markel Insurance SE, SCHOTT AG
Partners
Woodmark Consulting, M2. technology & project consulting GmbH, QuinScape – DataCiders, Sieger Consulting, Camelot Management Consultants, cimt AG, Biztory, Five1, tableau, Snowflake

One Data BARC Review & Rating

This section contains our independent analyst views on One Data.

Provider and product description

One Data is a German technology company with four offices and around 200 employees, operating primarily in the DACH region. The company was founded in 2013 as ONE LOGIC. Initially driven by the ambition to become a European leader in AI, One Data launched its first product in 2015, positioning itself as the industry’s first data product builder and putting a strong emphasis on data integration and governance. Although industry agnostic, the company has established a strong presence in pharmaceutical and specialized manufacturing sectors, including automotive supply chain solutions, while also expanding into retail.

Today, the company’s platform is designed to manage the entire lifecycle of data products, from initial conception to data extraction, preparation and discoverability.

One Data is built to support both data product owners and data consumers. The platform offers tools to facilitate data product requests, helping data product owners to determine the potential business value of a data product and translate the consumers’ requirements into technical specifications for developers.

In terms of managing data products, One Data offers monitoring features that help identify data quality issues, track data lineage, and provide an overview of data assets for product or domain owners. The platform provides an interactive data map for data discovery and a marketplace for accessing data products, making it easier for users to explore available resources.

The platform’s workflows and interface are designed for different roles. For example, the data product creation process is designed primarily for tech-savvy users (e.g., to design data integration pipelines) and data engineers, while data consumers with less exposure to data & analytics software can easily navigate their way through the marketplace functions.

To support customer success, One Data provides an academy, community training, customized onboarding services and dedicated customer success managers. A team of in-house data scientists, organized as a dedicated service unit, can further accelerate the delivery of customers’ data products, ensuring rapid time-to-value.

From a technical standpoint, One Data can be deployed on AWS, Azure or on-premises environments. Apache Spark powers the platform’s data transformations, ensuring robust and scalable data processing capabilities.

Strengths and challenges of One Data

BARC’s viewpoint on the product’s strengths and challenges.

Strengths
  • One Data provides an end-to-end approach to data product management, covering all steps from analyzing data consumers’ needs to subscribing to data products.
  • As a pioneer in the data products domain, One Data not only builds successful data products but also shares its expertise with customers, providing both technical best practices and guidance setting up data product organizations.
  • With a strong focus on leveraging generative AI, One Data carefully integrates features to make the platform more accessible for data product owners and consumers, enhancing usability and value creation.
Challenges
  • One Data offers an end-to-end solution, and is still developing its openness to integrating with other systems. Data products are increasingly understood as tool – and even technology – agnostic. So, the platform’s ability to handle products deployed on other platforms could improve.
  • Implementing One Data requires more than just adopting another tool – it often involves a significant shift in how data engineers work. The platform replaces part of the traditional tech stack, leading to a steep learning curve and potentially making it harder to switch providers due to the platform's unique feature set.
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One Data User Reviews & Experiences

The information contained in this section is based on user feedback and actual experience with One Data.

The information and figures are largely drawn from BARC’s The BI & Analytics Survey, The Planning Survey, The Financial Consolidation Survey and The Data Management Survey. You can find out more about these surveys by clicking on the relevant links.

Summary of user review highlights from One Data

What users like about One Data and where the product scores best in a user comparison.

Why users buy One Data and what problems they have using it

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Full user reviews and KPI results for One Data

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Individual user reviews for One Data

Role
Consultant
Number of employees
More than 2.500
Industry
Insurance
Source
Invited by the vendor, The Data Management Survey 25, 03/2024
What do you like best?

Nutzerfreundlichkeit und dass man alles, was für das Erstellen eines Datenprodukts notwendig ist, an einem Ort findet.

What do you like least/what could be improved?

Lineage mit einem Klick anzeigen lassen, anstatt über Maps und Edges Auswahl.

What key advice would you give to other companies looking to introduce/use the product?

-

How would you sum up your experience?

Tolles, innovatives Produkt mit hoher Nutzerfreundlichkeit und starker Vision.

Role
Line of business employee
Number of employees
More than 2.500
Industry
Process industry
Source
Invited by the vendor, The Data Management Survey 25, 03/2024
What do you like best?

Technische Anpassbarkeit, direkter Ansprechpartner (schneller Support), gute Organisation.

What do you like least/what could be improved?

Design-Änderungen schwierig umzusetzen, da Plattform-Produkt.

What key advice would you give to other companies looking to introduce/use the product?

-

How would you sum up your experience?

Sehr gute und professionelle Beziehung, schnelles Feedback, gute Ansprechbarkeit.

Role
Consultant
Number of employees
More than 2.500
Industry
IT
Source
Invited by the vendor, The Data Management Survey 25, 03/2024
What do you like best?

Data product resuability, ETL, data quality and AI features.

What do you like least/what could be improved?

Overlap of capabilities with other DM solutions (e.g. Informatica).

What key advice would you give to other companies looking to introduce/use the product?

Prioritize domains with adequate data maturity. The delineation of platform and product teams is critical for developing the corresponding technical and functional expertise. Identifying reusable high-value data products takes a lot of SME skills and effort but the recommendation feature is helpful.

How would you sum up your experience?

Good fit for mature companies looking for data mesh supporting solutions. Data product recommendation capabilties can accelerate D&A product development and save time.

Awards
Survey Information
Number of reviews for One Data
22
Reviewed versions
63 % version 9, 32 % version 8, 5 % version 2
Peer groups in the survey
Data Product Engineering, Data Catalogs, Data Intelligence Platforms & Marketplaces, Data Intelligence Platforms (Small Scenarios)
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