Imply Cloud pricing guide details
Pricing Overview
Imply Cloud operates on a usage-based pricing model through its fully managed Polaris platform, with enterprise options available for self-managed and hybrid deployments. There is no single flat monthly fee — costs scale based on project size, project type, and the volume of data you need to query at low latency. Imply also offers a 30-day free trial for Polaris, letting teams evaluate the platform before committing.
Imply provides three deployment tiers: Imply Polaris (fully managed cloud database-as-a-service), Imply Enterprise Hybrid (managed within your AWS VPC), and Imply Enterprise (commercial software for on-premises or public cloud deployment). Polaris carries published pricing, while Enterprise Hybrid and Enterprise require contacting sales for a custom quote.
Plan Comparison
Polaris pricing is structured around project sizes, with two project types — A-Series (compute optimized) and D-Series (general purpose) — to match different workload demands. Polaris compresses data by more than 90% once ingested, so the effective storage capacity is significantly larger than the raw project size.
| Feature | Polaris A-Series | Polaris D-Series | Enterprise Hybrid | Enterprise (Self-Managed) |
|---|---|---|---|---|
| Starting price | $100/mo | $600/mo | Contact sales | Contact sales |
| Deployment | Fully managed cloud | Fully managed cloud | Managed in your AWS VPC | On-premises or any cloud |
| Cluster management | Automatic | Automatic | Imply-managed control plane | Self-managed with Imply Manager |
| Scaling | Project-size based | Project-size based | Custom | Custom |
| Data compression | 90%+ | 90%+ | 90%+ | 90%+ |
| Free trial | 30-day free trial | 30-day free trial | No | Download available |
| Support | Standard | Standard | 24/7 committer-driven | 24/7 committer-driven |
| Performance monitoring | Included | Included | Advanced monitoring | Advanced monitoring |
A-Series hourly rates scale from $1.30/hr for the smallest project size up to $124.80/hr for the largest, with intermediate tiers at $2.60, $5.20, $10.40, $15.60, $20.80, $31.20, $41.60, $62.40, and $83.20 per hour. D-Series projects start at $0.80/hr and scale through $2.00, $3.50, $5.60, $8.40, $11.20, and up to $16.80/hr. The right choice depends on your query concurrency and latency requirements.
Hidden Costs
While Imply publishes Polaris project pricing, several cost factors sit outside the headline numbers:
- Data ingestion volume: Polaris pricing is tied to the project size needed for low-latency queries. If your data volume grows beyond your current project tier, you will need to upgrade, which can cause sudden cost jumps.
- Enterprise licensing: Both Enterprise Hybrid and Enterprise tiers require custom quotes. These typically include licensing fees, support contracts, and potentially professional services for initial setup — none of which are publicly disclosed.
- Overage and scaling charges: Usage-based models mean costs can spike during traffic peaks or data bursts. Without clear overage documentation, we recommend establishing cost alerts early.
- Integration and migration effort: While Imply emphasizes zero workflow changes, migrating from an existing data warehouse or observability stack will still involve engineering time for connector setup, query rewriting, and data validation.
- Support tier upgrades: The base Polaris plans include standard support. If you need 24/7 committer-driven support (the level included with Enterprise), expect additional costs or a required upgrade path.
Cost Estimates
Based on the published Polaris pricing, here are representative monthly cost scenarios:
| Use Case | Project Type | Estimated Hourly Rate | Estimated Monthly Cost |
|---|---|---|---|
| Small team / POC | A-Series (smallest) | $1.30/hr | ~$100/mo (minimum) |
| Mid-size analytics workload | A-Series (mid-tier) | $10.40 - $20.80/hr | ~$7,500 - $15,000/mo |
| High-performance queries | D-Series (mid-tier) | $5.60 - $8.40/hr | ~$4,000 - $6,000/mo |
| Large-scale production | A-Series (top tier) | $83.20 - $124.80/hr | ~$60,000 - $90,000/mo |
| D-Series production | D-Series (top tier) | $11.20 - $16.80/hr | ~$8,000 - $12,000/mo |
D-Series projects deliver a lower per-hour cost at each tier, making them the more economical choice when your workload fits their performance profile. For teams just getting started, the A-Series minimum of $100/mo provides an affordable entry point with a 30-day free trial to validate the fit.
How Imply Cloud Pricing Compares
Imply Cloud competes in the real-time analytics and data warehouse space, where pricing models vary widely from open-source self-hosted options to fully managed cloud services.
| Platform | Pricing Model | Entry Price | Free Tier | Managed Option |
|---|---|---|---|---|
| Imply Cloud (Polaris) | Usage-based | $100/mo (A-Series) | 30-day free trial | Yes (fully managed) |
| Neo4j | Freemium | $65/GB/month (AuraDB Professional) | AuraDB Free tier | Yes (AuraDB) |
| InfluxDB | Open Source | $250/mo (Cloud) | Community Edition (self-hosted) | Yes (InfluxDB Cloud) |
| TimescaleDB | Freemium | $30/mo (Cloud) | Self-hosted free; $20 trial credits | Yes (Timescale Cloud) |
Imply Cloud's $100/mo entry point is competitive with InfluxDB Cloud ($250/mo) and sits above Neo4j AuraDB Professional ($65/GB/month) and TimescaleDB Cloud ($30/mo). However, direct price comparisons are misleading here — Imply is purpose-built for real-time analytics on event data with sub-second query latency, while Neo4j is a graph database, InfluxDB focuses on time-series metrics, and TimescaleDB extends PostgreSQL for time-series workloads.
Where Imply stands out is its claim of 70%+ cost reduction compared to tightly coupled observability stacks. For organizations currently running Splunk, Datadog, or similar platforms and looking to decouple their observability layer, Imply positions itself as a way to store more data and query it faster while cutting the overall bill. The trade-off is that Imply's Enterprise tiers are opaque on pricing, and the usage-based model requires careful capacity planning to avoid cost surprises.