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SPECIFICTION
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Apica Flow vs Fluentd

Apica Flow

apica.io

Fluentd

fluentd.org

Side by side

FigureApica FlowFluentd
Price from—Free
Free plan—Yes
Free trial——
Open source——
WebYes—
Windows—Yes
macOS—Yes
Linux—Yes
Self-hostedYesYes
Plans published01
Spec score · Telemetry Pipeline Software7.3 (#23)8.2 (#10)
Data processingFlow can transform, normalize, enrich, redact, and route telemetry in-stream.Fluentd uses JSON to unify log collection, filtering, buffering, and output across sources and destinations.
DeploymentFlow is available for on-premises and cloud environments, and Apica offers a fully managed SaaS option.self-hosted
IntegrationsThe Flow page describes 200+ pre-built connectors and names Splunk, Datadog, Elastic, OpenTelemetry, Kafka, Amazon S3, Prometheus, and Loki.Listed outputs include Elasticsearch and Kibana, Splunk, AWS S3, Kafka, BigQuery, Datadog, and OpenTelemetry.
PurposeApica Flow processes, enriches, and routes telemetry before it reaches observability platforms.Fluentd is an open source data collector for a unified logging layer.
SecurityApica’s Trust & Security Center says the company holds ISO 27001 and SOC 2 certifications.The Fluentd homepage says vulnerabilities CVE-2026-44024, CVE-2026-44025, CVE-2026-44160, and CVE-2026-44161 were patched in Fluentd v1.19.3 and advises updating fluent-package to v6.0.4.
SupportApica directs technical support questions to its support email address.The project lists community help and commercial support from companies offering Fluentd enterprise services.

Plans

Apica Flow

No plans published.

Apica Flow pricing →

Fluentd

  • FluentdFree

Fluentd pricing →

In their own words

Apica Flow

Apica Flow has no write-up on Specifiction yet; its figures are above.

Visit apica.io

Fluentd

Fluentd is a free, open-source data collector for creating a unified logging layer. It uses JSON to handle log collection, filtering, buffering, and output across sources and destinations. More than 500 community plugins connect it to data sources and outputs, including Elasticsearch and Kibana, Splunk, AWS S3, Kafka, BigQuery, Datadog, and OpenTelemetry. It supports memory and file buffering, failover, and high availability to help prevent data loss between nodes. The project reports that a vanilla instance uses 30–40 MB of memory and can process 13,000 events per second per core. Fluentd v1 runs on Linux, Mac OSX, and Windows; community distributions also include Docker images, a Kubernetes DaemonSet, and Ruby gems. It is self-hosted, and its components are available under the Apache 2 License. The project lists community help and commercial support from companies offering enterprise services. The homepage notes vulnerabilities patched in Fluentd v1.19.3 and advises updating fluent-package to v6.0.4.

Visit fluentd.org