Why Warehouses Alone Aren’t Enough?
Warehouses ingest in minutes, not seconds.
Costs balloon as data streams scale.
Pipelines get brittle, blocking AI and forecasting.
High‑velocity data overwhelms traditional stacks:
Manufacturing
Historians weren’t built for modern analytics:
limited computation, no scalability, no high-resolution data.
Petabyte-ready velocity.
Finance
Warehouses choke on billions of daily trades and quotes.
Costly Pipelines
up to 10–20× compression & upstream ingest.
Simulation
Petabyte-scale outputs overwhelm storage and pipelines.
Lack of Flexibility
SQL-native + distributed computing.

Where do I sit in your stack ?
The Quasar Difference
Quasar sits upstream of your warehouse: it absorbs the flood, shrinks it up, and keeps it instantly queryable with SQL, Python, and APIs.
Resources & Insights
Case Study
Reducing Unplanned Downtime: How Quasar Helped Georgia-Pacific breakthrough data...

Whitepaper
Beneath the Surface: A Deep Dive into Quasar’s Real-Time Data Intelligence Platform (Part 2)

Whitepaper
Beneath the Surface: A Deep Dive into Quasar’s Real-Time Data Intelligence Platform (Part 1)
July 30, 2025
Introducing the next generation of Quasar
July 8, 2025
Monitoring: Why Logs Matter More Than You Think
May 6, 2025
The next version of Quasar
September 30, 2024
Understanding how Quasar Solves Modern Data Challenges
May 8, 2024
24/7 Data Trading Requires Quasar
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