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HPE Ezmeral Data Fabric vs Parseable

HPE Ezmeral Data Fabric

developer.hpe.com

Parseable

parseable.com

Side by side

FigureHPE Ezmeral Data FabricParseable
Price from—$0.39/mo
Free plan—Yes
Free trialYesYes
Open source——
WebYesYes
Windows—Yes
LinuxYesYes
APIYesYes
Self-hostedYesYes
Plans published13
Spec score · Data Lake Software7.7 (#7)8.1 (#5)

Plans

HPE Ezmeral Data Fabric

  • HPE Data Fabric SoftwarePriced on request

HPE Ezmeral Data Fabric pricing →

Parseable

  • OSSFree
  • Cloud$0.39 a month
  • Enterprise$15,000 a year

Parseable pricing →

In their own words

HPE Ezmeral Data Fabric

HPE Ezmeral Data Fabric consolidates data from on-premises systems, multiple clouds and edge deployments into one logical store. It supports files, object data, NoSQL databases and streams, with transaction support, strong consistency, multi-region support and horizontal scaling. Application developers can use standard APIs, languages and protocols. Its object store provides S3 API access, WORM compliance, events delivered to data streams and compatibility with open-source AWS S3 and Minio SDKs. Analytics integrations include Apache Spark, Apache Drill, Presto and S3 Select, while certified open-source tools and engines can run directly on the fabric for in-place analytics. Security capabilities include FIPS 140-2 Level 1 support when FIPS mode is enabled and dynamic masking of designated fields in JSON queries. A community edition is available, and an enterprise 30-day trial license can be requested. The community edition has limited nodes, no high availability or technical support, lacks advanced storage options such as snapshots and global replication, and is not intended for production. Pricing is on request; as-a-service monthly charges depend on storage use and selected tier.

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Parseable

Parseable is an open observability platform for logs, metrics, and distributed traces. Its features include dashboards, alerts, service maps, error pages, and root-cause analysis. Users can query telemetry with SQL or natural language, and use forecasting and AI analysis. Written in Rust, it uses an open columnar format designed for object storage. Deployment choices include self-hosted open source, managed cloud, and enterprise deployments with bring-your-own-cloud options. Listed integrations include Prometheus, Grafana, Kafka, Redpanda, AWS, Azure, OpenTelemetry, Kubernetes, Fluent Bit, Fluentd, Vector, MinIO, OpenAI, and Anthropic. Its MCP connects AI agents to live telemetry through structured tools, and its Slack bot brings operational answers into Slack. The free OSS plan includes SQL queries, dashboards, threshold alerts, OIDC SSO, unlimited users, and customizable retention and object storage. OSS supports only one query node and lacks groups for RBAC. Cloud costs $0.39 per month, billed per GB ingested, and includes 365 days of retention and a 14-day trial. Enterprise starts at $15,000.00 per year.

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