Upsolver joins Qlik to deliver real-time data, Iceberg optimizations and cost savings under a single platform

Introducing Upsolver SQLake

Build Pipelines. Not DAGs.

Streaming plus batch in a single pipeline platform
No Airflow - orchestration inferred from data
$99 / TB of data ingested | unlimited free pipelines

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Pricing Open Demo Free Workshop Builders Hub

$99 per TB Ingested | Transformations Free | 30 Day Unlimited Trial

Write a Query -> Get a Pipeline

With SQLake, you use SQL to ingest streams and files into data lake tables and then create jobs which transform, join, and aggregate that data, and stream it into destination systems for analytics consumption.

How SQLake Simplifies Pipelines for Data-in-Motion

Unify Batch & Streaming

Batch and stream processing has traditionally required separate tools and skills. We unify batch and streaming sources into a single stream processing flow that minimizes complexity.

Escape DAG Hell

Mapping all pipeline success and failure modes is manual work in Airflow. It’s hard, time consuming and error-prone. SQLake’s unique architecture deterministically guarantees correct results in all cases.

Avoid Sticker Shock

Predictable, affordable pricing. You only pay for data you ingest ($99/TB, or < 10 cents / GB), which is retained and managed in the data lake. You build unlimited transformation pipelines for free.

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Check out our SQLake How-to Guides

Kafka to Snowflake (streaming join)

S3 to Athena (materialized view)

UPSERTs from S3 into Athena

Real-time Ingestion from Kafka to Athena

How To Guides

Check out the Pipeline Builders Hub

Pipeline Templates
Documentation
How-to Guides
Technical Blogs

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Smarter Data Architecture Starts Here

Resources for Data Masterminds

Free Guide

Learn what’s the best way to design and build a data platform that’s aligned with your use cases.

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Free eBook

Understand data lake architecture best practices in this practical handbook for data engineers, data scientists and data architects.

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Comparison Guide

Learn how Upsolver’s technology differs from platforms built on Apache Spark in our comprehensive guide.

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All Templates

Explore our expert-made templates & start with the right one for you.