Chronosphere Telemetry Pipeline vs Honeycomb
Chronosphere Telemetry Pipeline
chronosphere.ioHoneycomb
honeycomb.ioSide by side
| Figure | Chronosphere Telemetry Pipeline | Honeycomb |
|---|---|---|
| Price from | — | $150/mo |
| Free plan | — | Yes |
| Free trial | Yes | Yes |
| Open source | — | — |
| Web | Yes | Yes |
| Windows | Yes | — |
| macOS | Yes | — |
| Linux | Yes | — |
| iOS | — | Yes |
| Android | — | Yes |
| API | Yes | Yes |
| Self-hosted | Yes | Yes |
| Plans published | 1 | 3 |
| Spec score · Telemetry Pipeline Software | 8.5 (#5) | 8.5 (#6) |
| Founded | 2019 | 2016 |
| Headquarters | New York, New York, United States | San Francisco, California, United States |
| Integrations | Chronosphere states that Telemetry Pipeline supports over 70 integrations, including Fluent Bit, Datadog, Splunk, CrowdStrike, Amazon S3, and Azure Event Grid. | The integration directory lists technologies including AWS, OpenTelemetry, Slack, MySQL, Prometheus, ServiceNow, and GitHub Actions. |
| Pricing model | Pricing is based solely on data throughput, defined as the volume of raw data transmitted through the pipeline; the page does not list a price. | The pricing page lists unlimited seats and unlimited querying. |
| Security | Chronosphere says the product is SOC 2 Type II and ISO 27001 examined and can redact sensitive information before logs leave the environment. | Honeycomb's Trust Center lists SOC 2 Type 2, GDPR, and HIPAA among its certifications and compliance frameworks. |
| Support | Chronosphere describes customer support as including dedicated customer success resources and 24/7, year-round communications through Slack, Zendesk, or email. | Honeycomb Support handles generally available product features and can receive tickets through its support portal or by email. |
Plans
Chronosphere Telemetry Pipeline
- Custom pricingPriced on request
In their own words
Chronosphere Telemetry Pipeline
Chronosphere Telemetry Pipeline collects and routes telemetry for observability and security teams, with tools to transform, enrich and reduce data along the way. It supports logs, metrics, events and traces, although processing rules are more mature for logs. The product includes more than 25 built-in processing rules, and teams can create custom parsing and processing rules using AI natural language. Pipelines can be configured in a low-code or no-code drag-and-drop builder, tested in a Playground, or managed with an optional CLI. Chronosphere lists more than 70 sources and destinations, including Fluent Bit, Datadog, Splunk, Amazon S3 and Azure Event Grid. Its default architecture keeps the data plane in the customer’s environment and the management plane with Chronosphere; it requires an outbound connection to management and no inbound network connection. Chronosphere says it cannot access underlying data processed in the customer environment. A SaaS interface manages Fluent Bit configurations, agent health and updates. Pricing is on request and based on raw data throughput; a free trial is available, with no duration specified.
Honeycomb
Honeycomb is an observability platform for debugging systems, application code, and databases with structured telemetry. It supports distributed tracing, logs, metrics, and OpenTelemetry data sent over gRPC, HTTP/protobuf, or HTTP/JSON. Canvas combines AI-assisted investigations with natural-language queries, interactive exploration, and shared workspaces. Agent Timeline presents LLM calls, tool invocations, handoffs, and downstream system spans in event order. BubbleUp helps investigate outliers across traces, metrics, and logs. Listed integrations include AWS, OpenTelemetry, Slack, MySQL, Prometheus, ServiceNow, and GitHub Actions. The free plan allows up to 20M events and 100M metrics data points per month, with two triggers. Pro starts at $150/mo, with allowances of up to 750M events, 3.75B metrics data points, 100 triggers, and two SLOs. Enterprise has variable volumes and custom pricing. Honeycomb describes Free for individual projects, Pro for production teams, and Enterprise for multi-team or large-scale applications.