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Cloud data integration for data-intensive companies
Upsolver is a cloud-native platform that lets you seamlessly move and transform data in an open lake architecture – providing unparalleled scalability, ease of use and cost-effectiveness.
- Managed ingestion, orchestration, object storage and transformation pipelines for batch and streaming data
- Improve query performance by delivering super-optimized data to databases or serverless query engines
- Run complex transformations using SQL – streaming joins, window aggregations, high cardinality joins
- Store all the data on S3 or Azure Data Lake to build a centralized data hub that supports any use case: log analytics, real-time analytics or change-data-capture
- Only SQL knowledge required – no coding in Spark/Hadoop
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Trusted by companies that run on data
Upsolver provides the scale of big data integration tools and the ease of use of modern SQL tools
Spark Ecosystem
Databricks, EMR, open-source
- Code-intensive (Scala, Java) and difficult to manage
- Creates bottlenecks and overloads data engineers
- High infrastructure and engineering costs
Modern ELT tools
Fivetran, Matillion, DBT
- Fully managed data pipelines
- Creates vendor lock-in and overreliance on database providers
- Drives up cloud data warehouse compute costs
Upsolver
Self-service at scale
- Fully managed data hub using SQL
- Democratizes analytics for engineering and BI teams
- Scalable low-cost architecture leveraging cloud object storage
- No vendor lock-in
- Highly efficient compute engine drives EC2 efficiency
Reduce data warehouse costs with a modern lakehouse architecture
Store all your data in open file formats and deliver analytics-ready data to query engines or data warehouses
The days of monolithic enterprise data warehouses are over – today’s organization relies on a multitude of tools for storage, compute, ad-hoc analytics and machine learning. Upsolver embraces the modern data stack and lets you work with data your way – no vendor lock-in, no proprietary file formats, and no complex architecture to manage.
Technology that's built to solve your toughest data engineering challenges
From streaming joins to change-data-capture, Upsolver was built from the ground up to simplify complex analytics projects
Upsolver runs on homegrown technology that allows us to store 10x the amount of data in-memory – unlocking powerful capabilities for streaming analytics, change-data-capture, and data lake optimization. We did the heavy lifting – all you need to do is write SQL.
Simplify Pipelines for Complex Data
- Reduce 90% of ETL pipeline development
- Deliver queryable data from streaming & batch
- Easily scale pipelines from GBs to PBs
- Eliminate 50-75% of compute & engineering costs
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Batch and streaming pipelines.
Accelerate data lake queries
Real-time ETL for cloud data warehouse
Build real-time data products