LogoLogo
OverviewQuickstartsHow To GuidesReferenceArticlesSupport
Overview
Overview
  • Welcome to Upsolver
  • GET STARTED
    • What is Upsolver?
    • Schedule a Demo
    • Start Your Free Trial
    • Apache Iceberg
  • RESOURCES
    • Reference
    • Iceberg Academy
    • Blog
    • Chill Data Summit
    • Community
    • Videos
  • RELEASE NOTES
    • March 2025
    • February 2025
    • January 2025
    • Earlier Releases
      • 2024
        • December 2024
        • November 2024
        • October 2024
        • September 2024
        • August 2024
        • July 2024
        • June 2024
        • May 2024
        • April 2024
        • March 2024
        • February 2024
        • January 2024
      • 2023
        • December 2023
        • November 2023
          • Deprecated Job Option
        • October 2023
        • September 2023
        • August 2023
        • July 2023
        • June 2023
        • May 2023
  • Legal
Powered by GitBook
On this page
  • The easy button for high-scale data ingestion
  • What Can Upsolver Do for Me?
  • Support for Apache Iceberg
  • New to Upsolver?
  • Apache Iceberg Community Newsletter

Welcome to Upsolver

Last updated 4 months ago

The easy button for high-scale data ingestion

Upsolver is the self-serve cloud data ingestion service for high-scale workloads such as big data, streaming, and AI. Our unique approach offers you no-code and low-code options to easily create pipelines for high-scale data movement in minutes. Upsolver makes working with data easier by automatically mapping columns and data types between sources and targets, evolving the schema in pace with data even for nested data structures, and parsing and flattening JSON structs and arrays.

Got a minute? Check out this quick introduction to Upsolver:

  • Easy ingest to Snowflake: use no-code or low-code options to build ingestion pipelines in three steps

  • Failsafe exactly once delivery: up-to-the-minute freshness without lost, duplicated, or out-of-order data

  • Automatic schema evolution: automatically map source fields to targets despite column type and naming conflicts

  • Built-in data quality and observability: detect and fix data drift quickly and retroactively

  • Support for mainstream data platforms: Amazon Kinesis, Amazon Redshift, Amazon S3, Apache Iceberg, Apache Kafka, data lake, ClickHouse, Confluent Kafka, Elasticsearch, Microsoft SQL Server, MongoDB, MySQL, PostgreSQL, and Snowflake

Current Release: 2024.12.22-09.24


What Can Upsolver Do for Me?

Support for Apache Iceberg

Ingest high-scale data to Iceberg: Our ingests your streaming, database, and file data into Apache Iceberg and includes hands-off table management and optimization so you don't need to worry about administering your tables.

Save money on storage and increase query performance: if you have an existing lakehouse, use our to discover tables that need compaction. Then run the optimizer for continuous tuning and improved performance through reduced file storage.

Discover tables for optimization: run our open source tool to find tables that could benefit from optimization and the percentage of gain to be achieved across your lakehouse.

Check out the Release Notes to discover the latest features.

New to Upsolver?

Follow the tailored for your data ingestion journey. Designed to get you up and running quickly, each path steps through the options for your data source and target combination.

Apache Iceberg Community Newsletter

Stay up-to-date with the latest industry news, articles, events, videos, podcasts, and more. Get the community newsletter delivered straight to your inbox every two weeks when you .

💡
✨
🚀
⭐
December 2024
sign up here

Get Started

Quickstarts: hands-on learning for data developers.

How-To Guides

Step-by-step guides: Browse the guides for everyday use cases.

Reference

SQL syntax reference: view code samples to create advanced jobs.

Upsolver Academy

Learn about data topics and discover tips and tricks from our in-house experts.

Community

Peer-learning: engage on our socials, sign up for a workshop or meet-up.

Blog

Resources: browse our extensive range of data topics in our blog posts.

Watch a Tutorial
Join the Community
Browse Blog Posts
Deliver data generated by your prod environment to downstream users at scale.
zero-ETL solution
Iceberg Analyzer
Iceberg Table Analyzer CLI
Browse How To Guides
Start Learning
Learning Path
Code Jobs with SQL