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The Upsolver Ecosystem
Upsolver partners with the leading cloud and data analytics technology, cloud, and services companies. Customers leverage Upsolver’s partner ecosystem to further shorten their time to analytics and identify value from their data.
Featured Partners
Amazon Web Services
AWS and Upsolver provides an integrated solution to simplify data pipelines for every data engineer. Upsolver integrates with many AWS Services including S3, Athena, Kinesis, Redshift, Sagemaker, and many more.
Starburst
Starburst and Upsolver enable you to go from raw data to insights using only SQL and without unicorn engineering skills, giving you access to fresh and defined data across your mesh.
Dremio
Upsolver and Dremio provide customers the ability to ingest mission-critical data from streams, files and databases while continuously transforming it into optimized tables for governed and high-performing interactive BI workloads that run directly on the lakehouse.
Find a Partner
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- TECHNOLOGY
- SERVICES
- CLOUD
CLOUD
CLOUD
TECHNOLOGY
TECHNOLOGY
TECHNOLOGY
TECHNOLOGY
TECHNOLOGY
TECHNOLOGY
TECHNOLOGY
SERVICES
SERVICES
SERVICES
SERVICES
SERVICES
SERVICES
SERVICES
SERVICES
SERVICES
SERVICES
SERVICES
SERVICES
What Being a Partner Means to Our Customers
Our partners develop accelerators and end-to-end solutions to help you achieve your analytics, data science and digital transformation needs. You can rest assured that by working with one of our partners, you will receive the best of breed services, trained personnel, and a supported ecosystem.
Gain Access to Unique Partner Benefits
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Hands on training for pre-sales, sales and implementation
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Partner-only support
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Co-developed industry and use case specific solution
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Referral bonus
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Co-marketing
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Access to Beta testing through Early Adopter Program
Are you a good fit?
Do you fit our profile? Do you want to reduce the time to analytics for your clients? Do you want to make your data engineers’ lives easier by automating the none value-add tasks? Do you want to empower your clients’ data practitioners, not data engineers?