One Data

One Data Competitive Intelligence & Landscape

onedata.ai ·

One Data
ForesightIQ Predictions

What is One Data likely to do next?

ForesightIQ connects One Data's hiring, product, web, ad, and market signals to forecast strategic moves — often months before they're announced.

Hiring signal

Senior hiring patterns point to a planned enterprise product line launching within two quarters.

High confidence · Next 1–2 quarters
Product signal

Quiet changes to docs and pricing pages signal an upcoming usage-based pricing tier and new API surface.

Likely · Next quarter
Market signal

Ad spend and partnership activity indicate a push into the mid-market segment across two new regions.

Plausible · Next 2–3 quarters
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Overview

One Data Overview

One Data (onedata.ai) is a pioneering German software company that specializes in transforming legacy data into AI-ready intelligence, enabling businesses to leverage trusted data for effective and reliable artificial intelligence solutions. Founded in Passau, Germany, in 2013 by Dr. Andreas Böhm, the company's mission is to empower organizations to establish a data-driven culture and unlock the full potential of their data.

One Data focuses on providing a modular software platform that acts as a foundation for Trust, Alignment, and AI-Automation, offering standardized solutions for complex data challenges.

The One Data platform is designed to address critical data management issues, including data quality, integrity, and governance. Key products and services include a robust Data Management Platform for Enterprise AI that structures, enriches, and governs metadata across data landscapes, enforcing formal agreements on published data products. Specific offerings encompass Metadata Management, Data Map, Data Product Marketplace, Use Case Builder, and Code Automation Engine. The company is particularly recognized for its AI-powered Data Product Builder, which redefines the development of data products for innovative and collaborative data teams [https://onedata.ai/wp-content/uploads/2024/10/20241024_OD_Company-Presseinformation_EN_SC.pdf].

One Data caters to a diverse market, offering solutions such as SAP BW Migration Optimization, Process Mining Foundation, and Sovereign Data Management for the Public Sector [https://onedata.ai/]. These solutions help companies transform fragmented data landscapes into trusted data for analytics, automation, and AI. The platform's capabilities are crucial for organizations looking to gain reliable insights, stop rework, and accelerate delivery through data product lifecycle management.

One Data's commitment to quality and information security is underscored by its ISO 27001 certification, supporting both on-premises and cloud deployments for secure data utilization [https://onedata.ai/].

Competitors

One Data Competitors

One Data's unique value proposition in transforming legacy data into AI-ready intelligence positions it against a diverse set of competitors in the data management and analytics space. While platforms like Microsoft Power BI and Tableau excel in data visualization and business intelligence, they often require a more mature data infrastructure and significant manual effort for data preparation compared to One Data's focus on Data Product Lifecycle Management and AI Automation.

One Data aims to reduce data hallucinations and provide reliable insights through Metadata Management and Data Contracts, areas where traditional BI tools might need additional integrations or custom solutions.

Alteryx One Platform and Trifacta Wrangler represent strong contenders in data preparation and data science, offering robust capabilities for data blending, cleansing, and transformation. However, One Data differentiates itself with its emphasis on creating Trusted Data and providing a Use Case Builder and Data Product Marketplace, which supports the operationalization of data products across an organization. Its Code Automation Engine and Platform Integrations further streamline the process of turning raw data into actionable, AI-ready intelligence, which might offer a more integrated approach than some specialized data preparation tools.

In the broader competitive landscape, companies like Collibra Platform and Microsoft Purview Data Governance are prominent in data governance and cataloging. While these platforms provide essential frameworks for data oversight, One Data's core strength lies in its AI-powered Data Product Builder, which directly addresses the transformation of data into discoverable and valuable assets for AI.

One Data's niche focus on Sovereign Data Management for the Public Sector and SAP BW Migration Optimization also highlights its specialized capabilities, offering targeted solutions that broader governance platforms might not provide with the same depth or automation.

Alternatives

One Data Alternatives

Product & Pricing

One Data Product and Pricing Intelligence

One Data (onedata.ai) offers a modular software platform designed to transform legacy data into AI-ready intelligence, serving as a foundation for Trust, Alignment, and AI-Automation [onedata.ai]. The platform provides a comprehensive suite of tools, including Metadata Management, Data Contracts, Data Product Lifecycle Management, and Code Automation [onedata.ai/product/]. It aims to bridge the gap between IT, data, and business users, simplifying workflows and reducing manual effort through AI at every step of the development process [onedata.ai/home-2024/].

One Data's product offerings include a Data Product Builder for launching data products rapidly, and a Data Product Space which acts as a shared environment for business and data teams to create, manage, and scale trusted data products [onedata.ai/home-2024/]. Key features like Data Contracts ensure automated governance by turning informal expectations into actionable, versioned agreements, crucial for scalable and trustworthy data sharing [onedata.ai/product/data-contract/]. The platform is designed to seamlessly integrate with existing databases, cloud storage, BI tools, and data infrastructure, whether on-cloud or on-premises, minimizing disruption to current operations [onedata.ai/product/platform/].

Regarding pricing intelligence, One Data operates on a software rental license model [onedata.ai/software-rental-license-terms/]. While specific pricing plans, tiers, free versus paid features, or recent pricing changes are not explicitly detailed on the public-facing pages, the license terms indicate that customers are responsible for the use of the licensed software and any results obtained. The terms also specify that documentation and usage rights remain with One Data until all payments are received in full, suggesting a subscription or rental model where software access is contingent on ongoing payments [onedata.ai/software-rental-license-terms/]. Further details would likely be available through direct engagement with One Data.

Hiring & Layoffs

One Data Hiring and Layoffs

One Data (onedata.ai) is actively expanding its team, signaling robust growth and a strategic focus on enhancing its AI-powered Data Product Space. The company, which describes itself as a team of approximately 150 dedicated colleagues from over 20 nationalities, consistently posts new job openings across various functions [onedata.ai/our-job-offers/]. This consistent recruitment effort underscores One Data's commitment to empowering customers with trusted, AI-ready data products by transforming legacy data into intelligent assets [onedata.ai/]. The absence of any publicly available information regarding recent layoffs further suggests a stable and growth-oriented employment strategy at One Data.

One Data's current hiring trends reveal a strong emphasis on roles critical to its core offerings in data management and AI. Notable job openings include positions such as (Senior) Value Engineer, Junior Data & Analytics Consultant, Senior SAP Data Solutions Engineer, and Senior SAP Consultant [onedata.ai/job-offer/value-engineer-f-m-d/, onedata.ai/job-offer/junior-data-and-analytics-consultant-f-m-d/, onedata.ai/job-offer/senior-sap-data-solutions-engineer/, onedata.ai/job-offer/senior-sap-consultant-fmd/]. These roles, often available for permanent employment in full-time or part-time capacities across locations like Munich, Passau, and Frankfurt, indicate a need for expertise in integrating their modular software platform with existing client infrastructures, particularly those involving SAP systems [onedata.ai/, onedata.ai/job-offer/senior-sap-data-solutions-engineer/]. The presence of a Sales Development Representative (B2B Software) position also highlights an ongoing effort to expand their market reach and customer base [onedata.ai/job-offer/sdr-m-f-d/].

The company's hiring patterns signal a strategic dual approach: strengthening its technical and consultative capabilities while simultaneously driving business development. The recruitment for roles like Value Engineer and various SAP specialists directly supports One Data's mission to help data experts create effective data products and collaborate across data silos efficiently [onedata.ai/job-offer/value-engineer-f-m-d/, onedata.ai/job-offer/senior-sap-data-solutions-engineer/]. Furthermore, the availability of positions for students, such as a Werkstudent Data & Analytics, and the option for speculative applications, demonstrates One Data's commitment to nurturing talent and potentially expanding its team with a broader range of skills [onedata.ai/job-offer/werkstudent-dataandanalytics-m-w-d/, onedata.ai/job-offer/speculative-application/]. While some roles may require German language skills, particularly those with significant customer contact, One Data welcomes a diverse international talent pool, embodying their "hackln mentality" to drive growth [onedata.ai/join-the-team/, onedata.ai/our-job-offers/].

Leadership

One Data Management and Leadership Team

One Data (onedata.ai) is an owner-managed company, founded in 2013 by Dr. Andreas Böhm in Passau, Germany. Dr. Böhm serves as the Founder and CEO of One Data, steering the company's evolution from data science consulting to a recognized, category-defining software platform for trusted data and real AI. The company's management board initially included Dr. Andreas Böhm (Product Unit) and Stefan Roskos (Business Development). In 2021, Salvia GmbH, an investment company owned by Helmut Jeggle, became an investor in One Data alongside Opti Invest green GmbH, with Jeggle also serving as a supervisory board member at BioNTech SE.

Recent leadership changes at One Data have seen a significant expansion of its C-level team. As of May 1, 2025, Tim Dickemann assumed the role of Chief Customer Officer (CCO) and Christian Stadlmann became Chief Revenue Officer (CRO). This strategic restructuring aims to accelerate the integration of intelligent data management and artificial intelligence, bolstering the company's market position. These appointments were made to enhance One Data's technology and go-to-market strategies, bringing renowned expertise to its leadership ranks.

Further reinforcing its leadership structure, the management team of One Data also includes Dr. Stefan Roskos and Dr. Gregor Wiest. The company's advisory board has also seen notable changes, with Achim Berg becoming the new Chairman of the Advisory Board, following Benedikt von Schoeler's previous tenure in the role. This comprehensive leadership team, comprising both long-standing founders and newly appointed C-suite executives, drives One Data's mission to transform legacy data into AI-ready intelligence, delivering reliable insights for businesses globally.

Financials

One Data Financial Performance, Fundraising, M&A

One Data (onedata.ai) has demonstrated robust financial health through significant funding rounds, empowering its mission to transform legacy data into AI-ready intelligence. The company recently secured a substantial EUR 32 million Series B Extension to further scale its next-generation data product management platform internationally. This funding is crucial for enabling meaningful GenAI, AI, Business Intelligence, and Process Mining solutions for its enterprise clients across various sectors [onedata.ai/one-data-closes-eur-32-million-series-b-extension/].

The Series B Extension round saw co-leadership from prominent European deep tech and software investors, including Vsquared Ventures, Molten Ventures, and HV Capital, with continued support from existing investors [onedata.ai/wp-content/uploads/2024/07/onedata_series_b_ext-press-release.pdf]. This investment underscores the market's confidence in One Data's modular software platform, which provides the foundation for Trusted Data, Alignment, and AI Automation [onedata.ai/]. The company's innovative approach to data product management has been recognized, notably by Gartner®, where it was mentioned as a Sample Vendor for Data Products in the Hype Cycle™ for Data Management [onedata.ai/company/].

While specific revenue figures or a comprehensive history of all funding rounds and valuations are not explicitly detailed in the provided sources, the successful EUR 32 million Series B Extension highlights One Data's strong fundraising capabilities and its ability to attract significant capital for growth. The company is owner-managed, with a leadership team including founder Dr. Andreas Böhm, Dr. Stefan Roskos, and Dr. Gregor Wiest. Since 2021, Salvia GmbH, an investment company owned by Helmut Jeggle (an investor and supervisory board member at BioNTech SE), has been an investor, alongside Opti Invest green GmbH [onedata.ai/wp-content/uploads/2024/07/20240722_OD_Company-Presseinformation_EN.pdf]. No information regarding mergers and acquisitions activity for One Data (onedata.ai) was available in the provided materials.

Partnerships

One Data Partnerships, Clients and Vendors

One Data (onedata.ai) actively cultivates a robust network of partnerships and alliances to enhance its offerings, support research and development, and broaden its service delivery. These collaborations are categorized into various types, including Consulting Partners, Hosting Partners, Network Partners, Service Partners, and Technology Partners. Notably, One Data has established significant technology integrations with major platforms such as Amazon AWS and Oracle, enabling seamless enterprise integration and scalability for its clients. Strategic advisory support is also a key aspect, exemplified by partnerships with firms like Atlantic Ventures.

One Data boasts an impressive portfolio of enterprise clients across diverse industries, demonstrating its platform's versatility in transforming legacy data into AI-ready intelligence. Prominent examples include a leading automotive manufacturer that leveraged One Data's AI-powered Data Product Builder to migrate from SAP BO to Snowflake and Power BI in just three months [onedata.ai/customer-stories/]. Another significant client, thyssenkrupp SE, a global leader in flat carbon steel manufacturing, partnered with One Data to enhance its logistics and supply chain efficiency by connecting company data with AI and accelerating data product creation and analysis [onedata.ai/wp-content/uploads/2024/03/onedata-solution-data_integration-thyssenkrupp-en.pdf].

Further highlighting its impact, Markant, Europe's largest trade and service cooperation with 14,000 suppliers and 150 dealer partners, utilizes One Data to optimize its value chain through the Markant Analysis and Forecasting Platform (MAPP), leading to improved sales forecasting and resource management [onedata.ai/customer-stories/ai-supported-sales-forecasts/].

One Data has also entered into a critical cooperation with Volkswagen AG (VW) through its AI matching platform, Wavetrade, to address the uneven distribution of critical components in supply chains [onedata.ai/one-data-and-vw-group-announce-cooperation-to-solve-uneven-distribution-of-critical-components/]. Additionally, a pharmaceutical client partnered with One Data to develop a heat map data product, significantly enhancing supply chain resilience through real-time visibility and predictive insights across a transnational drug manufacturing project involving over 50 partners [onedata.ai/solutions/customer-stories/pharmaceutical-supply-chains/].

Events

One Data Event Participations

One Data (onedata.ai) actively engages with the data and AI community through a variety of events, including major conferences, specialized webinars, and exclusive dinners. They are scheduled to participate in the BARC DATA Festival Munich on June 16–17, 2026, a key event for data strategy, engineering, and AI adoption. Additionally, One Data will be at Business Intelligence Minds 2026 from March 16-17, 2026, focusing on strategies for implementing enterprise BI platforms and modernizing SAP landscapes.

The company frequently hosts and co-hosts webinars to share insights on critical industry topics. Upcoming events include the "Mid-Year Reality Check – The Data & AI Trends That Matter Now" webinar on June 24, 2026, where experts will discuss trends delivering real value versus those still lagging "24 June 2026".

One Data also provides several on-demand webinars, such as "Data Quality – Garbage In, Chaos Out" in collaboration with BARC, and "Ready Your Data for AI with Data Products," co-hosted with Dataciders "BARC Webinar on-demand:Data Quality – Garbage In, Chaos Out" "On-Demand Webinar:Ready Your Data for AI with Data Products".

Furthermore, One Data has hosted significant online events like the One Data Launch Event, where they unveiled their AI-native platform, showcasing 12 years of enterprise data expertise combined with AI-native technology "One Data Launch Event:New Data Intelligencefor the Age of AI.". They also organized the Data Product Impact Summit, an online event focusing on translating data products into tangible business value and aligning them with impactful goals "Online Event:The Data Product Impact Summit". For a more intimate setting, One Data hosts exclusive gatherings such as the Data Leaders Dinner in London, where their product team connects with peers and data leaders "Data Leaders Dinner | London | One Data".

Frequently Asked Questions

What do One Data's recent event participations and webinars suggest about their strategic focus and market positioning?

One Data's active engagement in events like the BARC DATA Festival and Business Intelligence Minds 2026, alongside numerous webinars on data quality and AI readiness, indicates a strategic focus on positioning itself at the forefront of data strategy, AI adoption, and enterprise BI. These activities highlight their commitment to thought leadership in transforming legacy data into AI-ready intelligence and addressing critical industry trends.

What does One Data's recent hiring pattern imply about their product roadmap and strategic priorities?

One Data's current hiring, particularly for roles like (Senior) Value Engineer, Junior Data & Analytics Consultant, and Senior SAP Data Solutions Engineer, signals a strong focus on enhancing their core offerings in AI-powered data product management and expanding capabilities for integrating with complex client infrastructures, especially SAP systems. This indicates a roadmap prioritizing both technical depth and consultative support for enterprise data transformation.

What does the EUR 32 million Series B Extension indicate about One Data's financial trajectory and investor confidence?

The EUR 32 million Series B Extension signifies robust investor confidence in One Data's modular software platform for data product management and its ability to scale internationally. This substantial funding round, co-led by prominent deep tech investors like Vsquared Ventures and Molten Ventures, indicates a positive financial trajectory and strong market belief in their mission to enable GenAI, AI, Business Intelligence, and Process Mining solutions for enterprise clients.

How do One Data's recent leadership appointments, particularly a CCO and CRO, impact their go-to-market strategy?

The appointment of a Chief Customer Officer (CCO) and Chief Revenue Officer (CRO) as of May 1, 2025, suggests a strategic emphasis on accelerating market penetration and enhancing customer integration. This restructuring aims to strengthen One Data's technology and go-to-market strategies by bringing specialized expertise to drive revenue growth and improve customer success for their intelligent data management and AI solutions.

How does One Data's approach to Metadata Management and Data Contracts differentiate it from traditional BI tools and data governance platforms?

One Data differentiates itself by integrating Metadata Management and Data Contracts directly into an AI-powered Data Product Builder and Data Product Space, aiming to reduce data hallucinations and provide reliable insights. Unlike traditional BI tools that often require significant manual data preparation or broader governance platforms, One Data focuses on automating governance and creating trusted, AI-ready data products through formal, versioned agreements on published data.

What do One Data's partnerships with companies like Volkswagen AG and thyssenkrupp SE signal about their target market and value proposition?

One Data's partnerships with major enterprises like Volkswagen AG and thyssenkrupp SE signal a strong focus on large-scale industrial and automotive sectors, where supply chain resilience, logistics optimization, and data-driven forecasting are critical. These collaborations highlight their value proposition in transforming complex, fragmented legacy data into actionable, AI-ready intelligence for significant operational impact.

How does One Data's software rental license model align with its strategy for delivering AI-ready data solutions?

One Data's software rental license model supports its strategy by providing continuous access to its modular platform for AI-ready data intelligence. This model ensures that customers always have the latest features and ongoing support for data product lifecycle management, aligning with their mission to deliver continuously trusted and scalable data solutions for AI automation.

What is the significance of One Data's ISO 27001 certification for its market positioning and customer trust?

One Data's ISO 27001 certification underscores its commitment to quality and information security, which is crucial for building customer trust in the sensitive domain of data management and AI. This certification enhances its market positioning by assuring clients, especially those requiring sovereign data management or handling critical enterprise data, that their platform adheres to rigorous international standards for secure data utilization, whether on-premises or in the cloud.

How does One Data's 'AI at every step of the development process' approach contrast with competitors in data preparation and data science?

One Data's 'AI at every step of the development process' contrasts with competitors like Alteryx One Platform and Trifacta Wrangler by offering a more integrated, end-to-end approach to data product creation and automation, rather than solely focusing on data blending or cleansing. This AI-native design aims to simplify workflows and reduce manual effort from raw data to actionable, AI-ready intelligence, streamlining the entire lifecycle.

What strategic intent is revealed by One Data's focus on solutions like 'SAP BW Migration Optimization' and 'Sovereign Data Management for the Public Sector'?

One Data's focus on specialized solutions like 'SAP BW Migration Optimization' and 'Sovereign Data Management for the Public Sector' reveals a strategic intent to target specific high-value enterprise and public sector niches. This demonstrates their capability to address complex, industry-specific data challenges, leveraging their modular platform to transform legacy SAP data and ensure secure, compliant data management for sensitive government use cases.

How does One Data's emphasis on a 'Data Product Marketplace' influence its value proposition for collaborative data teams?

One Data's emphasis on a 'Data Product Marketplace' significantly enhances its value proposition for collaborative data teams by providing a centralized, shared environment for creating, managing, and scaling trusted data products. This marketplace facilitates efficient discovery, consumption, and operationalization of data assets across an organization, fostering collaboration and accelerating the delivery of business value from data.

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