HyperDX vs SparkLogs
HyperDX
hyperdx.ioSparkLogs
sparklogs.comSide by side
| Figure | HyperDX | SparkLogs |
|---|---|---|
| Price from | $20/mo | $100/mo |
| Free plan | Yes | — |
| Free trial | Yes | Yes |
| Open source | Yes | — |
| Web | Yes | Yes |
| Windows | — | Yes |
| macOS | — | Yes |
| Linux | Yes | Yes |
| iOS | — | Yes |
| Android | — | Yes |
| API | Yes | Yes |
| Self-hosted | Yes | Yes |
| Plans published | 3 | 3 |
| Spec score · Log Management Software | 9.1 (#9) | 9.0 (#13) |
| Deployment options | both | both |
| Free plan | Yes | Yes |
| Integrations | Documented ingestion options include OpenTelemetry, Fluentd, Fluent Bit, Syslog, AWS services, Cloudflare Workers, Docker, Fly.io, Heroku, Kubernetes and Vercel. | Supported ingestion tooling includes OpenTelemetry, Grafana Alloy, Vector, Fluent Bit, filebeat, Logstash, Beats, and APIs for HTTPS JSON, Elasticsearch bulk, and Loki push. |
| Live log tailing | Yes | Yes |
| Security | The site links to a SOC 2 Type II Security and Trust Center. | SparkLogs states that connections use TLS 1.2 or newer and data at rest uses AES-256 encryption. |
| Structured log parsing | Yes | Yes |
| Support | The site lists [email protected] and links to its Discord community. | SparkLogs invites questions, ideas, and feedback through its Discord community, and provides a security and compliance contact path. |
| What it does | HyperDX is a production observability and debugging platform that brings logs, metrics, traces, errors and user sessions into one interface. | SparkLogs is a cloud-first, petabyte-scale log management and observability platform. |
Plans
SparkLogs
- SparkLogs Cloud$100 a month
- Private Cloud$440 a month
- Self-Hosted Querying$2,000 a month
In their own words
HyperDX
HyperDX is a cloud-based production monitoring and debugging tool that brings logs, metrics, traces, and user sessions together. It is an open-source observability platform powered by ClickHouse and OpenTelemetry, with cloud and self-hosted deployment options across web, Linux, API, and self-hosted environments. Full-text search works across events without complex query syntax. Users can create visualizations and alerts, while notifications can go to Slack, email, or PagerDuty. Session replays link automatically with backend logs and traces, and recurring log patterns are grouped into clusters. Documented SDKs cover Elixir, Go, Java, browser JavaScript, Nest.js, Next.js, Node.js, Python, React Native, and Ruby on Rails. The Free plan costs nothing and includes 3 GB monthly, 3-day retention, and one user. Starter costs $20 a month with 50 GB, 30-day retention, and unlimited users. Enterprise has custom pricing. Billing adds charges above 50 GB monthly and for metrics usage.
SparkLogs
SparkLogs is a cloud-first log management and observability platform for collecting, querying, and retaining telemetry. Its SQL-like, type-aware LQL offers interactive histograms and exploration across billions of events. Data can be sent through the SparkLogs Agent or authenticated Ingest Keys, with ingestion tooling that includes OpenTelemetry, Grafana Alloy, Vector, Fluent Bit, filebeat, Logstash, Beats, and APIs. AutoExtract identifies standard fields in raw messages, while AutoClassify groups similar messages into patterns. The platform also provides live log tailing, pipelines, archive export, and tools for AI-assisted fleet investigations using logs and system state. It supports cloud and self-hosted deployment and runs on web and native desktop and mobile apps. SparkLogs says connections use TLS 1.2 or newer and stored data uses AES-256; it is not yet SOC 2 or ISO 27001 certified. The official agent currently supports Windows 10 or later and Windows Server 2016 or later on x64. SparkLogs Cloud costs $100 a month, with 300 GB monthly ingestion included and a listed free allowance under 25 GB per month. Private Cloud is $440 a month; Self-Hosted Querying is $2,000 a month.