HPCC Systems
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VisitHPCC Systems vs Parseable
What both publish
| Fact | HPCC Systems | Parseable |
|---|---|---|
| Architecture | The platform includes the ECL programming language, Thor data-refinery engine, and Roxie data-delivery engine. | The product is written in Rust and uses an object-store-native, open columnar format. |
| Headquarters | Atlanta metropolitan area, Georgia, United States | San Francisco, California, United States |
| Integrations | Official integrations include Spark, Kafka, Couchbase, Redis, Memcached, Pentaho, R, JDBC, Java APIs and Tableau data connectors. | The site lists integrations including Prometheus, Grafana, Kafka, Redpanda, AWS, Azure, OpenTelemetry, Kubernetes, Fluent Bit, Fluentd, Vector, MinIO, OpenAI, and Anthropic. |
| Security | Cloud-native security features include end-to-end encryption, Linkerd or Istio service meshes, OAuth 2.0 with Azure AD support, and JWT. | The site identifies Parseable as GDPR certified and SOC 2 Type II. |
HPCC Systems plans
- Open sourceFree
- Community EditionFree
- Enterprise subscriptionPriced on request
Parseable plans
- OSSFree
- Cloud$0.39 a month
- Enterprise$15,000 a year
Pick HPCC Systems if…
HPCC Systems suits organizations building data lakes or processing large, mixed-schema datasets that can manage a self-hosted platform. It may also fit teams that need parallel processing, query interfaces, or ECL-accessible machine-learning algorithms.
Pick Parseable if…
Parseable suits teams that want logs, metrics, and traces in one observability platform, with a choice of self-hosted or managed deployment. The Enterprise plan is described for serious teams seeking enterprise-grade observability.