DataSnap vs Datadog

Datadog is a complete observability platform focused on logs, metrics, traces and APM. DataSnap is built for teams who want a radical focus on logs and data, with predictable costs, Oracle Cloud storage and AI dashboards ready in minutes.

We keep the comparison updated, but exact prices must be confirmed directly on Datadog.

Official sources

References

We recommend validating directly in Datadog’s official documentation before any decision.

Datadog Log Management Docs
Official documentation on logs, ingestion and retention
Datadog Pricing Page
Charging structure by ingestion, retention and features
Oracle Cloud Docs
Official references for Object Storage, Data Flow and Functions

Reference: datasnap.cloud

DataSnap differentiators

Focus on logs & data

Transparent cost control

Simple model based on GB of logs + ingestion.
Native Oracle Cloud integration

Logs stored directly in Object Storage to ensure maximum durability.
Setup in less than 1 day

Ready connectors, simple access keys and dashboards to publish the first panel in minutes using AI.
Security and compliance

Architecture aligned with LGPD, GDPR and ISO 27001; data encrypted at rest and in transit.
AI-powered dashboards

Natural language query builder with SQL-like interface to create reports without learning a new query language.

Reference: datasnap.cloud

Positioning vs Datadog

Honest view

Ecosystem vs focus
Datadog is recognized for its huge ecosystem (logs, metrics, APM, synthetics, etc.). DataSnap chooses a leaner focus: logs + data lake + AI dashboards.
Pricing model
Datadog log pricing can be hard to predict (ingestion + retention + modules). DataSnap emphasizes predictability and direct spend control.
Close support
Smaller teams, support in Portuguese and direct access to product builders — no endless support layers.

When should you choose DataSnap over Datadog?

If you are researching alternatives, you have likely felt the pain of unpredictable bills or a tool that is too complex for your team size. This summary helps you quickly see where DataSnap fits best.

Illustrative scenario

200 GB/day of application logs

Production environment with microservices

At this volume, small variations in price per GB and how retention is charged can represent thousands per year. DataSnap simplifies the equation: ingestion + processing + retention, in a single visible formula.

Important: exact values vary by region and negotiation — always validate in Datadog’s official calculator.

Ideal profiles

Where DataSnap shines

Companies and SaaS that want to master log costs and avoid end-of-month surprises
Small teams wanting fast setup with few connectors and AI-guided dashboards
Products needing per-client/tenant consumption separation for transparent cost attribution
Companies preferring to keep data in their own Oracle Cloud account with full retention control

Be honest about your case

When Datadog still makes sense

You need very deep APM with advanced distributed tracing across dozens of services
There is dependency on other Datadog modules (synthetics, RUM, security, etc.) fully integrated
Your team already masters the ecosystem and has internal processes around the tool

DataSnap doesn’t try to copy everything; it focuses on being the best solution for logs and data when cost and simplicity are priorities.

Próximo passo sugerido

Start with 1 application or environment and compare log consumption
Use matching periods and log levels for a fair comparison
Then assess migrating the rest or keeping a hybrid

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