The Better Datadog Alternative
Same Features, Better Experience

Tired of surprise invoices, host-based pricing, and complex agent deployments? Switch to Middleware, a unified, OpenTelemetry-native observability platform that delivers predictable pricing, one-minute setup, and complete visibility across your infrastructure, applications, and logs.

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Why You Should Replace Datadog with Middleware

Feature Parity (99%)

APM, infrastructure, logs, distributed tracing, RUM, synthetic, database, container, serverless, and LLM observability — all bundled. If you can do it in Datadog, you can do it here.

  • No separate SKUs for APM or RUM
  • No "Pro" upgrade for OTel metrics
  • Session replay and error tracking included
APM, infrastructure, logs, distributed tracing, RUM, synthetic, database, container, serverless, and LLM observability — all bundled. If you can do it in Datadog, you can do it here.

APM is one SKU. Infrastructure is another. RUM, session replay, error tracking, and custom metrics are each priced separately. You build the bundle; Datadog bills it line by line.

  • Per-product pricing tiers
  • Custom metrics billed by cardinality
  • OTel metrics treated as premium metrics
APM is one SKU. Infrastructure is another. RUM, session replay, error tracking, and custom metrics are each priced separately. You build the bundle; Datadog bills it line by line.

No vendor lock-in

Built on OTel from the ground up. Open standards mean portable instrumentation, no proprietary agent lock-in, and one timeline where logs, metrics, traces, and events are correlated automatically.

  • Standard OTel collectors, no forks
  • Cloud, on-prem, BYOC, or hybrid
  • Switch vendors without re-instrumenting
Built on OTel from the ground up. Open standards mean portable instrumentation, no proprietary agent lock-in, and one timeline where logs, metrics, traces, and events are correlated automatically.

Datadog was built before the cloud-native era. OTel was added later, converting your OpenTelemetry data into Datadog's proprietary format. Leave, and you'll need to re-instrument every service.

  • Proprietary agent required for full functionality
  • OTel data gets second-class treatment
  • Migrating away = re-instrument every service
Datadog was built before the cloud-native era. OTel was added later, converting your OpenTelemetry data into Datadog's proprietary format. Leave, and you'll need to re-instrument every service.

Better support and experience

Every Middleware customer gets responsive, hands-on support, including a 1-hour SLA for critical issues. Shared Slack and Teams channels connect you directly with the engineers who built the product.

  • 1-hour critical-issue response SLA
  • Direct Slack / Teams channels
  • Available on every plan, not just Enterprise

Dedicated technical support is reserved for the Enterprise tier. Smaller customers rely on email queues and community forums, even when production is on fire.

  • Tier-gated support access
  • No shared engineering channels
  • Escalation often means upgrading your contract

Honest Pricing

Transparent, usage-based pricing. Pay for the data you actually send, billed against real usage — not the worst spike of the month. No tier-gating, no cardinality math, no surprise invoices.

  • Pay per GB of data sent
  • Unlimited custom metrics included
  • 180-day log retention bundled

Per-host fees, indexed-span charges, custom-metric cardinality fees, RUM sessions, log ingestion, log indexing, and log retention. Billed at the monthly peak. Even admins can't predict the invoice.

  • Per-host + per-container + per-add-on
  • Cardinality charges that scale unpredictably
  • High-watermark billing based on monthly peaks

Zero Configuration

One install script, a lightweight agent, and full-stack visibility in under a minute. Auto-instrumentation across the stack, automatic service discovery, and Ingestion Control to eliminate noise in two clicks.

  • One-line install, no implementation engineer required
  • Auto service + dependency discovery
  • No custom query language to learn
One install script, a lightweight agent, and full-stack visibility in under a minute. Auto-instrumentation across the stack, automatic service discovery, and Ingestion Control to eliminate noise in two clicks.

Rich UI, steep learning curve. Manual log filters, metric filters, sampling strategies, and custom tagging are required to keep the bill sane. Most teams hire or assign a dedicated Datadog specialist.

  • Multi-day to multi-week rollouts
  • Manual config to control costs at every layer
  • Dashboard sprawl from ungoverned creation
Rich UI, steep learning curve. Manual log filters, metric filters, sampling strategies, and custom tagging are required to keep the bill sane. Most teams hire or assign a dedicated Datadog specialist.

Telemetry Patterns

Service-level alerting on real metrics — not one cherry-picked "primary operation". Search every span you have sent. Click any log, jump to the trace. Slice by any high-cardinality dimension without budget panic.

  • Service-level RED metrics, not endpoint-only
  • Full-history span search, not just the last 15 minutes
  • Logs-to-traces correlation that works with OTel

Service RED metrics are derived from one "primary operation" — your alerts miss the rest. Live span search is limited to the last 15 minutes. OTel logs-to-traces correlation is partial at best.

  • One primary operation per service for alerts
  • 15-minute live search on indexed spans
  • Cardinality penalties for attribute slicing

Point your Datadog agents at Middleware and switch incrementally

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The first observability platform built around AI,
not bolted onto it

AI Dashboards

Describe what you want in plain English. Middleware builds the dashboard, selects the charts, and writes the queries. No PromQL, no custom query language, and no template gallery to comb through.

AI Alerts

Alerts that learn what 'normal' looks like for each service and surface only the deviations that matter. Anomaly detection that doesn't drown your on-call team in noise.

OpsAI · SRE Agent

An AI SRE that pinpoints root cause, identifies the offending line of code, and opens a pull request with the fix while you're still reading the alert. Auto-resolves issues with 80% accuracy.

AI K8s Root Cause Finder

Auto-structuring, severity detection, and pattern recognition built into log ingestion. No manual regular expressions, no parsing pipelines to maintain.

Auto-Fix · 60% Time Saved

Auto-fix issues across infrastructure and application layers with 80% accuracy. Engineers spend 60% less time resolving issues — and more time shipping products.

Pricing Comparison

No Surprise Invoices, Ever

Datadog calculates your estimated observability spend based on hosts, log volume, metrics, traces, and APM usage. Middleware calculates bills based on GBs ingested, not hosts.

Data Ingestion

Infrastructure

hosts
containers

Logs Data

GB/mo

Application Performance Monitoring

hosts

Browser Tests

tests

Synthetic Checks

checks

RUM Sessions

sessions

Middleware bills by GB ingested, while Datadog bills by host count. For comparison, we assume 45 GB per APM host, 5 GB per VM host, and 10 GB per Kubernetes node. Actual usage may vary.

Datadog charges for indexing and data retention while Middleware indexes all ingested data with free retention for 30 days.

You'd save, every month

$875
Datadog
$1,222/mo
Middleware
$347/mo
  • Data Ingestion
  • RUM Sessions
  • Synthetic Checks
  • Browser Tests
Testimonials

Customer Stories

Aceturtle

Middleware has played a very good role in transforming our observability and application performance. For instance, we reduced our total observability costs by 50%.

Read the story

Vivek Gupta

Founder & CEO

Hotplate

We're heavy users of RUM and have tried many tools before discovering Middleware. We've been using OpsAI for the past few weeks, and it has automatically resolved about 60% of our production issues.

Read the story

Rangaraj Tirumala

Founding Engineer at Hotplate

MindOrigin

Compared to other observability solutions, Middleware offered similar or even superior capabilities at a much lower cost, eliminating the need for expensive tiered pricing or additional charges for advanced features.

Read the story

Krishna Charan BS

Security Head, MindOrigin

Clear Comparison

Feature-by-Feature Comparison: Middleware vs Datadog

Evaluate on your own. Here's how Middleware stacks up against Datadog, capability by capability.

Bottom line

Who each tool is really built for

Recommended for Cost-conscious, OTel-native, cloud-native teams

Large enterprises already deep in the Datadog ecosystem

BYOC deployment

Run it in your own cloud

Keep data in your VPC, cut egress costs, and clear stricter security reviews.

SaaS-only. Your telemetry leaves your network.

Value for money

3x to 5x cheaper

Transparent, data-size pricing instead of a per-host surprise at month end.

Roughly 5x costlier

Costs stack up fast once you add APM, RUM, and custom metrics.

No extra cost for OTel metrics

OpenTelemetry metrics are just metrics here.

Treats OTel metrics as custom metrics, which gets pricey at scale.

Ingestion pipeline

Decide what gets stored before you pay for it

Filter and shape metrics at ingest to control spend.

No equivalent control over what lands in your bill.

Request rate (APM)

Full RED metrics across every operation, not one anointed endpoint.

Limited

Derives a single "primary operation" per service for RED metrics.

Error rate

Per-operation error tracking.

Limited

Same primary-operation ceiling as above.

Latency p99 / p90 / p50

Percentiles on any operation you care about.

Limited

Same primary-operation ceiling.

Service-level alerting

Alerts on whole-service metrics

One alert covers the service, not a pile of endpoints.

Per-endpoint setup required

Can't alert representatively at the service level.

Logs-to-traces correlation

Click a log, jump straight to its span.

Limited for OTel data

Correlation gets patchy once the data is OTel-native.

Search on all spans

Query every span, not a sampled slice.

Limited

Live search only covers the last 15 minutes of indexed spans.

Arbitrary attribute-based querying

Slice telemetry by any dimension

Group and filter by any attribute on the fly.

Locked to predefined facets and tags.

OTel-based feature flags

Native (OpenFeature)

Flags wired into the same telemetry pipeline.

No native OpenFeature support.

Additional cost for custom metrics

None

Custom metrics are bundled into the plan.

Yes

Billed on top, separately.

Pricing model

Pay for data size

You pay for what you send, full stop.

Host / node-based + add-ons

Penalizes microservice density. More pods, bigger bill.

Unified view with correlations

One timeline, every signal in context.

Signals live in separate, stitched-together views.

Data retention

180 days included

Six months of history, no surcharge.

$0.20–$0.50 per million log events / day / month extra

Keeping history longer is a metered add-on.

APM, infra, RUM, logs across plans

All included

One plan, every pillar.

Separately priced

Each pillar is its own SKU.

Data storage on your own servers / on-prem

Self-host the whole thing if you need to.

No on-prem storage option.

Unlimited free containers / hosts

Scale out without counting hosts.

Hosts and containers count against your plan.

Dedicated technical support

On all plans

Real support, even on the entry tier.

Enterprise plan only

Lower tiers don't get a dedicated line.

What customers get

The numbers after the switch

Averages across customers who migrated from Datadog to Middleware.

4×

Troubleshooting

Faster mean-time-to-detect with unified signals on one timeline.

75%

Cost Reduction

Predictable usage-based pricing replaces high-watermark host fees.

1hr

Troubleshooting

Critical-issue response on every plan, not just enterprise.

80%

Troubleshooting

OpsAI resolves issues end-to-end, saving 60% of engineer time.

You Don't Have to Rip Out Datadog on Day One

Already running Datadog agents? Point them at Middleware and switch incrementally. No big-bang re-instrumentation required.

Zero Re-instrumentation

Incremental Adoption

100% Data Continuity

Read the Migration Docs

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FAQs

Everything you want to know about Middleware v/s Datadog

What is the main difference between Middleware and Datadog's pricing models?
Middleware offers a transparent pricing model where you only pay for the data size, whereas Datadog uses a host/node-based pricing model.
Does Middleware offer a free trial?
Yes, Middleware offers a 14-day free trial with unlimited data ingestion across log monitoring, infrastructure monitoring, APM, and all platform features. No credit card is required to start. Once the trial ends, a payment method is required to continue ingesting new data.
How is Middleware's Pay-as-you-go plan better than Datadog's pricing?
At Middleware, you only pay for the services you use. All features are included, so you don't need to worry about selecting a plan for specific features. We charge for actual usage, not peak usage. This way, you can save up to 5X the cost with Middleware's pay-as-you-go plan compared to Datadog's pricing.
Can I subscribe only for one product (ex: log monitoring) and not for others (ex: APM)?
Yes. We have multiple products, and you can choose any or all of them. You will only be charged for the products to which you have subscribed.
How can I manage high log volume in a cost-effective way?
With our Ingestion Control feature and data pipeline, you can control what and how much data you want to ingest. You can also turn off non-relevant metrics for ingestion, which will reduce ingestion costs. To learn more about it, please book a demo with our Product expert.
Can I save money by switching from Datadog to Middleware?
Yes, Middleware offers customized pricing plans that can help you save up to 50% on your Datadog bill. Simply send us your Datadog invoice copy to get started.

Optimize More. Worry Less. With Middleware.

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