Built for real workloads

Quasar supports industrial analytics, scientific data capture, and financial workloads where teams need to retain detailed data and keep it available for analysis.

Read the customer case studies →

Georgia-Pacific

73B+rows per day
~80,000sensors
140+facilities

Georgia-Pacific uses Quasar to support predictive maintenance across its manufacturing operations, bringing sensor data together for asset-health analysis and model development.

U.S. Department of Energy

10 PB+retained history
10 kHz+capture rate

Quasar captures high-frequency voltage and current waveforms for research into data-center power systems.

Quasar Diagram

Live ingestion.Queryable history.

Quasar combines ingestion, compressed columnar storage, and distributed queries in one database. Teams can work with incoming data and retained history through native APIs and SQL interfaces.

  • Continuous ingestion: capture new data while analytical workloads run.
  • Adaptive lossless compression: reduce the storage footprint while preserving numerical values bit for bit.
  • Distributed execution: distribute data and query work across a cluster.

Use Quasar alongside existing historians, streaming platforms, and analytical tools, or move selected workloads into it as their value is proven.

Explore your workload


Industry

Analyze process values and high-frequency sensor signals across assets, facilities, and retained history.

Explore Industry

Sciences

Capture experimental signals and keep numerical observations and metadata available for analysis.

Explore Sciences

Finance

Capture market events and query live and historical data for order-book reconstruction, research, and risk workflows.

Explore Finance

Aerospace & Defense

Store and query sensor observations, telemetry, and event history for downstream analysis and replay.

Explore Aerospace & Defense

Run Quasar where your data lives

Deploy in your cloud environment, on premises, or at the edge, with an appliance option for an integrated hardware and software deployment.

Software pricing is based on provisioned capacity, with no per-query or per-ingestion software charges. Infrastructure, support, and service inclusions depend on the deployment and agreement.

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