Still justifying your Datadog costs?
You won't have to.
5x lower cost. Cursor-like debugging. Effortless automated migration.
“Hands down. Wow. We were blown away”— Zaggle
“Full Datadog migration in 4 weeks - my friends were shocked”— Fello
“3x savings in 3 hours for Grafana Cloud.”— CureFit
“Log search is much faster than AWS OpenSearch”— Zaggle
“I don't know what you did to OpenSearch, this thing is FAST”— CureFit
“Cursor-like debugging has transformed how we make decisions”— Cureskin
“Replaced CloudWatch, OpenSearch, Splunk with a single, faster platform”— Zaggle
“Honestly, it's been a game changer”— Fello
“Our engineers are loving the single pane of glass”— CureFit
“Oodle logs UI is vastly better than Grafana Cloud”— Zaggle
“Your AI assistant is mature. Awesome!”— Zaggle
Trusted by startups, unicorns and public companies
What engineers are actually saying about Datadog
Real feedback from Reddit, G2, PeerSpot, and TeamBlind. These aren't configuration problems - they're structural issues.
Complex, Unpredictable, Escalating Bills
15+ pricing dimensions. Costs spike without warning. Nobody understands the bill.
"I gotta hand it to DataDog's sales team - it's the biggest combination of expensive and useless I've ever seen in my life, but they've somehow managed to convince the people with the checkbooks that they can't live without it."
— Hacker News
High Cardinality Cost Penalties
Custom metrics at $0.05 each and high cardinality cost penalties add up to thousands.
"The 'omg my bill is out of control' issue is usually from relying heavily on custom metrics added over time, so you think you're paying X but really end up paying 2-3X or more by end of year."
— Hacker News
Vendor Lock-in & Architectural Constraints
Per-host billing forces architectural decisions. Proprietary agents create lock-in.
"I've heard a company end up rearchitecting their instance type choices due to Datadog billing on a per-node basis. Their business model encourages some very specific architectures which doesn't work for everyone."
— Hacker News
No AI-Native Experience
Hours spent writing queries, correlating logs, and manually piecing together root causes.
"Confusing navigation - clicking in circles when trying to access stack traces. Dashboard creation is difficult, with metrics and aggregations being hard to work with."
— Gartner Peer Insights
Additional reported issues
Re-architected from the ground up
Built by the team behind Amazon S3, DynamoDB, Rubrik, and Snowflake
Why engineers switch to Oodle
Modern observability without the cost surprises
Predictable, transparent pricing
- S3 + Serverless architecture - no disks, no dedicated compute - drastically reduces cost
- Just 2 billing dimensions: time series + GB ingested
- Linear pricing tied to data volume only
- No per-host, per-user, per-feature fees
Costs grow predictably with your data. Understand your bill in seconds.
No cardinality penalties
- No custom metrics surcharges
- Columnar storage optimized for high cardinality
- Use all the labels and dimensions you need
Add the labels you need without cost anxiety.
Zero vendor lock-in
- Native support for OpenTelemetry, Prometheus, Datadog
- Grafana UI for metrics, OpenSearch for logs
- Export dashboards & alerts to OSS formats anytime
Zero vendor lock-in. Leave anytime with your data.
AI-native debugging
- Ask questions in plain English, get answers instantly
- AI-powered root cause analysis across logs, metrics, traces
- Native Cursor, Claude Code, and MCP integration
- Automatic anomaly detection - no query writing needed
Debug in minutes, not hours. AI does the heavy lifting.
Calculate your savings
Compare your current costs with Oodle's transparent pricing. See exactly how much you could save.
Usage Parameters
Cost Breakdown
Cost Breakdown
*Assumptions: 1 data sample every 60 seconds, 30d retention.
You Pay For:
- Unique time series (metrics)
- GB ingested (logs/traces)
You Don't Pay For:
- Hosts, containers, or users
- Alerts, dashboards, or custom metrics
- Hidden fees or surcharges
Get started in minutes
Keep your existing Datadog agent. Just add a few lines to start shipping data to Oodle.
Metrics
# datadog.yaml
additional_endpoints:
- api_key: <OODLE_API_KEY>
url: https://ingest.oodle.ai/api/v2/seriesLogs
# datadog.yaml
logs_config:
additional_endpoints:
- api_key: <OODLE_API_KEY>
Host: ingest.oodle.ai
Port: 443Traces
# datadog.yaml
apm_config:
additional_endpoints:
- api_key: <OODLE_API_KEY>
url: https://ingest.oodle.ai/api/v2/tracesNo code changes required. Your existing instrumentation works out of the box.
Switch Under a Week
Keep your Datadog agent running. Zero downtime. No code changes required.
How to Switch
Configure & Dual-Ship
1 day10-line config change to send data to both Datadog and Oodle simultaneously
Verify Dashboards & Alerts
3-5 daysOodle migrates all your dashboards and alerts automatically
Cutover
1 dayConfigure Datadog agent to send only to Oodle
Companies That Switched
“We'd used Datadog for eight years and we never thought we could easily switch until Oodle proved otherwise. They've been a dependable, transparent partner.”
Nagendra Swamy
VP Engineering, Lookout
Proven at enterprise scale
What changes when you switch
From operational burden to observability freedom
Capabilities Datadog doesn't have
Oodle isn't just a replacement – it's an upgrade with capabilities built for modern observability.
AI-Native Debugging
- Ask questions in plain English, get answers instantly
- AI-powered root cause analysis across logs, metrics, traces
- Native Cursor, Claude Code, and MCP integration
Predictable, Transparent Pricing
- Just 2 billing dimensions vs Datadog's 15+
- No custom metric fees, no cardinality penalties
- No per-host, per-container, or per-user charges
Open Standards, No Lock-in
- Native OpenTelemetry - use your existing instrumentation
- PromQL compatible - bring your Prometheus queries
- Export to OSS formats anytime - your data stays yours
Enterprise-ready from day one
Security and compliance built without compromise
Is Oodle right for you?
Oodle isn't for everyone. Here's how to know if we're a good fit.
Great Fit
Oodle is perfect for you if...
- Primarily use metrics, logs, traces, and APM
- Want predictable costs that scale linearly
- Value AI-native debugging over feature breadth
- Prefer open standards (OTel, Prometheus, Grafana)
- Have a team willing to own migration verification
- Want a vendor who takes ownership of migration
Consider Alternatives
Oodle may not be right if...
- Heavily depend on RUM, Synthetics, or Security Monitoring
- Need LLM Observability or advanced log pipelines
- Require the full breadth of Datadog's feature set
- Can't dedicate any team bandwidth for verification
- Have sustainable Datadog costs at your current scale
Ready to replace Datadog?
Go live in 15 minutes. No data limits. No infrastructure changes.