nano SIEM vs Panther
nano SIEM
nano.rs
Panther
panther.comSide by side
| Figure | nano SIEM | Panther |
|---|---|---|
| Price from | $26/mo | — |
| Free plan | — | — |
| Free trial | — | Yes |
| Open source | — | — |
| Web | Yes | Yes |
| Windows | Yes | — |
| macOS | Yes | — |
| Linux | Yes | — |
| API | Yes | Yes |
| Self-hosted | Yes | Yes |
| Plans published | 7 | 1 |
| Spec score · SIEM Software | 7.8 (#14) | 8.0 (#12) |
| Deployment | nano offers managed service and BYOC deployment, and the Enterprise plan lists cloud, on-prem, or air-gapped deployment. | Panther offers a managed cloud deployment and a deployment in the customer’s AWS environment using the customer’s Snowflake or Databricks account. |
| Headquarters | Danbury, Connecticut, United States | A Panther platform overview identifies San Francisco as the company’s headquarters. |
| Integrations | The docs list HTTP, Syslog, HEC, and native Vector protocol for ingestion; the feature page highlights parsers for Palo Alto, CrowdStrike, Okta, AWS CloudTrail, Microsoft Defender, and Zeek. | Panther lists integrations for log sources, alert destinations, enrichment, data lakes, cloud resources, and MCP servers. |
| Product | nano describes itself as an AI-powered SIEM for security teams that need fast log analytics and covers detection, alerting, investigation, and response. | Panther is an AI SOC platform for ingesting and normalizing security logs, detecting threats, and investigating alerts. |
| Support | Pricing lists community support for Hobby, email support for Startup through Team, priority support for Business and Pro, and dedicated support plus SLA for Enterprise. | Panther offers technical support 20 hours a day, five days a week, and 24/7 on-call emergency support for customers. |
Plans
nano SIEM
- Hobby$26 a month
- Startup$116 a month
- Growth$269 a month
- Team$539 a month
- Business$1,440 a month
- Pro$4,410 a month
- EnterprisePriced on request
In their own words
nano SIEM
nano SIEM is an AI-powered security information and event management product for security teams handling detection, alerting, investigation, and response. It stores security logs, OpenTelemetry traces, and metrics together for queries through nPL, its single query language. The maker says it can search billions of events in under a second using ClickHouse. Its pivt assistant can generate parsers, queries, detection rules, and investigation summaries from natural-language prompts. Detection rules support MITRE ATT&CK mapping, entity risk scoring, and tracking rare or first-seen indicators. Ingestion options include HTTP, Syslog, HEC, and Vector; listed parsers cover Palo Alto, CrowdStrike, Okta, AWS CloudTrail, Microsoft Defender, and Zeek. Deployment choices include managed service and BYOC, while Enterprise lists cloud, on-premises, and air-gapped deployment. The engine is open source under AGPL-3.0 and can be self-hosted without an account or bill. Hobby is listed at $26.00 per month, billed $204/yr, with 2 GB/day ingest and three team members.
Panther
Panther is an AI SOC platform for security teams that ingests and normalizes security logs, detects threats, and supports alert investigation and response. Panther AI can query a data lake, review detection logic and alert history, gather context from connected tools, resolve noisy alerts, and escalate high-confidence threats. Its AI Detection Builder turns plain-language threat descriptions into Python detections. Teams can write, test, and version custom rules through CI/CD and GitHub code review, using PantherFlow and SQL. Snowflake or Databricks can serve as the security data lake while data remains in the customer’s warehouse. Integrations include AWS CloudTrail, Okta, GitHub, Slack, CrowdStrike, Databricks, and PagerDuty; MCP connections include Slack, PagerDuty, Notion, GitHub, and Atlassian. Deployment is available as managed SaaS or Cloud Connected. Panther provides a REST API and states that data is isolated in dedicated instances with 99.9% SLA-backed uptime.