Upsolver

Upsolver

Upsolver is a no-code platform for building and operating streaming data pipelines and analytics. It allows you to easily ingest, process, analyze, and visualize streaming data in real-time without managing infrastructure.
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Upsolver: No-Code Streaming Data Pipeline Platforms

Upsolver is a no-code platform for building and operating streaming data pipelines and analytics. It allows you to easily ingest, process, analyze, and visualize streaming data in real-time without managing infrastructure.

What is Upsolver?

Upsolver is a cloud-native data lake platform optimized for streaming analytics workloads. It allows organizations to quickly and easily build, operate and scale streaming data pipelines and applications without having to manage infrastructure.

Key capabilities and benefits of Upsolver include:

  • No-code UI to build streaming pipelines with SQL, data transformation and enrichment.
  • Real-time dashboards and analytics powered by Looker and other BI tools.
  • Out-of-the-box connectors for streaming data sources like Kafka, Kinesis, IoT devices.
  • Built-in windowing functions and support for stream processing logic.
  • autoscaling infrastructure on AWS, GCP and Azure with no ops management.
  • Cost-optimization including auto-pause and custom scaling policies.
  • Enterprise-grade security and compliance capabilities.

Upsolver is trusted by fast-growing businesses to increase their agility and innovation with streaming data. It's tailored for modern analytics use cases across industries like manufacturing, telecom, gaming, IoT and more.

Upsolver Features

Features

  1. Real-time data pipelines
  2. Pre-built connectors for data sources
  3. No-code UI for building pipelines
  4. Scales pipelines automatically
  5. Real-time analytics and dashboards
  6. Alerting and monitoring

Pricing

  • Subscription-Based

Pros

Easy to set up and use

No coding required

Handles scaling and management automatically

Works with many data sources out of the box

Powerful visualizations and analytics

Cons

Can be expensive at scale

Limited flexibility compared to coding pipelines

Not open source

Some advanced features may require coding


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