Report
The Forrester Waveâ„¢: Multimodel Data Platforms, Q2 2026
Arango Recognized as a Strong Performer
As enterprises move AI agents, assistants, and applications from experimentation into production, they are discovering that information and context are not the same thing.
AI systems can retrieve information, but they still struggle to understand how customers, products, policies, processes, relationships, governance requirements, and operational events connect across the business.
This is driving a fundamental shift in enterprise AI architecture.
Organizations are increasingly looking for ways to create, govern, and operationalize trusted business context at scale while reducing the complexity of fragmented AI data stacks built from separate databases, vector stores, search engines, and integration layers.
In The Forrester Waveâ„¢: Multimodel Data Platforms, Q2 2026, Forrester Arango was recognized as a Strong Performer in the report and was described by Forrester as:
Well-suited to organizations seeking a contextual data foundation where multihop graph performance and verifiable reasoning are mission-critical for trusted AI.
Access the Report to Learn
- Why multimodel data platforms are gaining momentum as enterprise AI adoption accelerates
- How top vendors are
- Key evaluation criteria and capabilities assessed by Forrester
- How vendors stack up across current offering, strategy, and customer feedback
Get Your Complimentary Copy
Complete the form to access The Forrester Waveâ„¢: Multimodel Data Platforms, Q2 2026 and learn how top organizations are building trusted foundations for enterprise AI.
Forrester does not endorse any company, product, brand, or service included in its research publications and does not advise any person to select the products or services of any company or brand based on the ratings included in such publications. Information is based on the best available resources. Opinions reflect judgment at the time and are subject to change. This report is part of a broader collection of Forrester resources, including interactive models, frameworks, tools, data, and access to analyst guidance. For more information, read about Forrester’s objectivity here .
Why Arango
According to the evaluation, Arango received the highest possible scores in adoption and unified multimodel architecture criteria.
The report also recognized Arango's differentiated native multimodel architecture, which which delivers unified storage, execution, and schema propgation in a single engine, eliminating cross-model synchronization.
Built on a graph-native multimodel foundation, the Arango Contextual Data Platform enables organizations to create a live Contextual Data Layer—a trusted, continuously maintained representation of business context that can be reused across AI agents, assistants, and applications.
