Deployment & Pricing - Quasar

Deployment & Pricing

Deploy the same Quasar database in the cloud, at the edge, or as an appliance—with a consistent architecture and predictable, capacity-based pricing.

Quasar uses the same ingestion and query model everywhere, with no per-query or per-ingestion charges.

Quasar: Deployment Principles

Quasar is software

Multi-platform (Linux, Windows, and BSD-based systems), multi-architecture (ARM32, ARM64, and x86_64), deployable on standard infrastructure.

There is only one Quasar

Same ingestion and query model everywhere, no separate "edge" or "cloud" versions.

Minimize data movement

Data can be processed where it's produced.

What is your deployment model?

● Quasar Cloud

Quasar runs as a distributed system in your AWS, Azure, or Google Cloud environment, using standard compute and storage primitives. Quasar maintains SOC 2 Type II and SOC 3 reports; details are available in the Trust Center.

How it works

Runs on standard compute (VMs, containers, or Kubernetes)

Uses object storage (S3, Blob, GCS) as the primary storage layer

Maintains local caches and indexes on attached storage (NVMe, SSD)

Data is automatically tiered between hot (local) and cold (object storage)

Characteristics

Object storage is used directly without data duplication

Tiering between storage layers is transparent to queries

Real-time and historical data are accessed through the same system

Can operate on block storage (EBS, etc.) when required

SOC 2 Type II and SOC 3 certified

Performance & scale

Sustains high ingestion rates under continuous load

Queries operate directly on compressed columnar data

Scales horizontally by adding nodes

Designed for datasets from terabytes to multi-petabytes

Commercial model

Flat pricing based on provisioned capacity

No per-query or per-ingestion charges

Hosting costs primarily driven by object storage

● Quasar Edge

Run Quasar at the edge: close to where data is produced, including industrial sites, data centers, and distributed environments.

How it works

Runs on your own infrastructure (bare metal or virtualized)

Uses local storage (NVMe, SSD, HDD) for data and indexing

Processes and queries data locally with low latency

Characteristics

No dependency on external storage systems

Data is stored and processed locally

Can integrate with external storage systems (e.g., VAST) when required

Works efficiently with standard local storage (NVMe, SSD, JBOD)

Same ingestion and query model as cloud deployments

Performance & scale

Sustains high ingestion rates locally

Low-latency query execution on live data

Scales vertically (hardware) or horizontally (nodes)

Suitable for distributed and intermittent connectivity environments

Commercial model

Software licensed based on provisioned capacity

Runs on your own hardware or infrastructure

No per-query or per-ingestion charges

Costs are predictable and independent of workload variability

● Quasar Appliance

A fully integrated deployment of Quasar designed to deliver predictable performance, cost, and operational simplicity. Designed for environments where performance, cost, and operational predictability matter most.

What it is

Pre-configured hardware and software, delivered as a single system

Sized and optimized for your expected workload over multiple years

Deployed as a turnkey system with minimal setup

Characteristics

Hardware, storage, and system configuration tuned specifically for Quasar

Operates independently using local storage (NVMe, SSD, JBOD)

Requires only power and network connectivity to operate

Can be integrated with external storage systems for backup when required

Operational model

Delivered, installed, and configured as a complete system

Quasar setup, tuning, and data integration handled end-to-end

Supports direct connection to data sources (e.g., MQTT, PLC, market data)

Includes query interfaces and analytical capabilities out of the box

Commercial model

Fixed pricing over multi-year periods

Includes hardware, software, and support

No usage-based pricing or variable costs