Enterprise Observability

Collect everything. Miss nothing.

Full fidelity observability without sampling. Deploy in your cloud, score every entity for anomaly and risk, and pay a flat annual fee. guaranteed to cost less than half your current Datadog bill.

Events Processed

2.4B/day

100% collected

Anomalies Detected

847

23 high risk

Monthly Savings

$127K

vs. Datadog

Real-time telemetry dashboard

Built on proven open-source technologies

OpenTelemetryClickHouseApache KafkaKubernetesOpenALBA

Traditional observability is fundamentally broken

Incumbents charge per-GB, per-host, or per-user, then force you to discard 90-99% of your data to control costs. The evidence you need is thrown away before you even know you need it.

90%+

Data discarded by sampling

Most vendors force aggressive sampling to keep bills manageable

$65M

Datadog bills in the news

Usage-based pricing creates unpredictable, runaway costs

67%

Teams evaluating alternatives

Organizations actively seeking better options

Observability done right

Sampleless eliminates the trade-offs. Full data fidelity, predictable costs, and complete control, all in one platform.

Zero Sampling

100% of your telemetry, 100% of the time. Every trace, every metric, every log. ML sees the complete picture, baselines are accurate, and the evidence is always there.

BYOC Architecture

Deploy in your cloud. Your data never leaves your account. No Transit Gateway charges, no PrivateLink fees, no cross-region egress. You keep full control.

Flat Annual Pricing

$100K-$350K/year based on cloud footprint, not per-GB, per-host, or per-user. No surprises, no overages, no custom metrics trap. Unlimited users included.

How Sampleless works

A distributed, per-account architecture that eliminates networking costs while delivering full-fidelity observability.

01

Deploy in your cloud

Sampleless deploys a complete observability stack inside your AWS, GCP, or Azure account. Your data stays where it belongs.

02

Collect everything

OpenTelemetry collectors gather traces, metrics, and logs. Kafka buffers and processes. ClickHouse stores with 10-20x compression.

03

ALBA scores every entity

The ALBA engine calculates anomaly and risk scores for every user, service, endpoint, and session in real time.

04

Query from one dashboard

A unified view across all accounts and clouds. Only query results traverse the network (kilobytes, not terabytes).

OpenALBA Specification

Behavioral analytics that detect what others miss

The ALBA engine produces two scores for every entity: anomaly score (how unusual) and risk score (how concerning for your team). No other observability platform offers entity-level behavioral scoring.

User behavioral anomalies
Service degradation patterns
Authentication threats
API abuse detection
Security threats (MITRE ATT&CK mapped)
Reliability patterns

Example: Data exfiltration detection

User "john.doe" exports 15,000 records

(baseline: 120 records)

Anomaly Score

84.75

Risk Score

100

CRITICAL ALERT

Routed to Security team with full session context

Teams using BYOC observability typically save $300K-500K annually in egress and subscription costs while moving from 1-5% sampling to 100% collection. Complete data means faster debugging and ML that actually works.

Flat annual pricing. No per-host fees. No per-GB surprises.

Built on battle-tested infrastructure

No proprietary lock-in. Sampleless is built entirely on proven open-source technologies and open specifications.

OpenTelemetry

Vendor-neutral telemetry collection

ClickHouse

10-20x compression, billions of rows/sec

Apache Kafka

Buffering, parallel processing, replay

OpenALBA

Open specification for behavioral analytics

Frequently asked questions

How is Sampleless different from Datadog?
Datadog excels at integrations with 500+ out-of-the-box connectors. Sampleless takes a different approach: we focus on collecting 100% of your data (instead of sampling) to enable better ML-driven insights. Our BYOC architecture eliminates egress costs that force sampling. Plus, we use OpenTelemetry standards so you are never locked in.
How does Sampleless pricing compare to New Relic?
New Relic charges $49-349 per user per month, which limits who can access observability data. Sampleless includes unlimited users at no extra cost. Our flat annual pricing ($100K-$275K based on cloud accounts) means your entire engineering, SRE, and support teams get full access without per-user fees.
Why switch from Splunk to Sampleless?
Splunk offers powerful log analytics and SIEM capabilities. Sampleless is purpose-built for observability with predictable flat pricing instead of per-GB fees. Our managed BYOC architecture reduces operational burden while keeping data in your cloud. Built on OpenTelemetry, you can migrate incrementally without lock-in.
What is zero-sampling observability?
Zero-sampling means collecting 100% of your traces, logs, and metrics instead of discarding 90-99% to reduce costs. Complete data enables better ML baselines and more accurate anomaly detection. Sampleless's BYOC architecture eliminates egress fees, making full-fidelity collection economically viable.
What is BYOC (Bring Your Own Cloud) architecture?
BYOC means Sampleless deploys entirely within your AWS, GCP, or Azure account. Your telemetry data never leaves your cloud environment. Only aggregated query results (kilobytes, not terabytes) cross account boundaries. This eliminates data egress costs, enables 100% data collection, and simplifies compliance.
Am I locked into Sampleless if I switch?
No. Sampleless is built entirely on OpenTelemetry for data collection and the open OpenALBA specification for behavioral analytics. Your instrumentation is vendor-neutral and works with any OTel-compatible backend. If Sampleless is not the right fit, you can lift and shift to another platform easily.

Ready to see everything?

Send us your current observability bill. We'll show you the math. Guaranteed savings or we'll tell you to stay where you are.