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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
An integrated solution to simplify data pipelines for every data engineer. Upsolver runs on the AWS ecosystem and integrates with many AWS Services including S3, Athena, Kinesis, Redshift, and Sagemaker.
Snowflake
Upsolver is the only data ingestion platform that guarantees high quality, observable data from streams, files, and database change events for Snowflake. The fastest way to move data at scale from production systems to an analytics environment.
dbt
Building the Modern Data Ingestion Stack, Upsolver with dbt means extending data workflow ownership and software engineering best practices from source to delivery. Ingesting or transforming data with Upsolver is as simple as writing a dbt model.
Confluent
Enjoy end-to-end managed quality data streaming with Confluent and Upsolver. Whether you’re using open source Kafka or Confluent Kafka, streaming data can be validated in flight when ingesting with Upsolver. Analytics ready data, delivered.
Find a Partner
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- TECHNOLOGY
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- CLOUD
CLOUD
CLOUD
TECHNOLOGY
TECHNOLOGY
TECHNOLOGY
TECHNOLOGY
TECHNOLOGY
TECHNOLOGY
TECHNOLOGY
SERVICES
SERVICES
SERVICES
SERVICES
SERVICES
SERVICES
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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 solutions
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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 want to reduce the time to analytics on the freshest data for your clients? Do you want to make your data engineers’ lives easier by automating the none value-add tasks while ensuring high data quality and observability? Do you want to empower your clients’ data practitioners?