What Engineering Teams Actually Pay After Switching
Datadog is a capable, mature platform, but its bill is assembled from many separate meters – infrastructure hosts, APM hosts, log ingest and indexing, indexed spans, custom metrics, RUM, synthetics, and support – each with its own unit and overage rules. At 30TB/month with 30% of logs indexed, log indexing alone can reach ~$30,000/month, and because APM hosts must also carry Infrastructure Monitoring, adopting APM grows the baseline bill rather than replacing it.
This guide compares seven Datadog alternatives – CubeAPM, Coralogix, Honeycomb, Grafana Cloud, Elastic APM, New Relic, and Sentry – on pricing, deployment, and OpenTelemetry support, so you can see what engineering teams actually pay after switching.
All cost estimates assume a mid-scale reference scenario: 30TB/month ingestion (~20TB logs, 7TB traces, 3TB metrics), 100 hosts, 20 full-platform users, 500,000 active metric series, and 30-day retention across all signal types, with core observability only. Estimates are directional, based on public rate cards as of early 2026; negotiated discounts can reduce SaaS costs significantly.
Why Teams Look Beyond Datadog
- SKU sprawl: costs build across hosts, logs, spans, custom metrics, RUM, synthetics, and support, each metered separately with its own limits.
- Log indexing dominates: at 30TB/month with 30% of logs indexed, indexing alone can reach ~$30,000/month.
- Custom metrics creep: high-cardinality tags and Kubernetes labels push custom-metric volume past included allotments, and OTel metrics are often billed as custom metrics.
- Residency gaps and egress: CloudPrem is limited to logs and remains in preview, and SaaS delivery adds ~$0.10/GB egress (around $3,000/month at 30TB); self-hosted platforms like CubeAPM keep telemetry in your VPC with no egress.
1. CubeAPM
Best for: DevOps and platform teams that want full-stack observability inside their own cloud without SaaS data egress, pricing sprawl, or DIY self-hosting overhead
CubeAPM is a self-hosted, OpenTelemetry-native, full-stack observability platform that runs inside your own AWS, GCP, or Azure VPC, so telemetry data stays inside your infrastructure while CubeAPM monitors the setup remotely. Pricing is a single meter – data ingested – so Datadog’s hosts, custom metrics, and indexing line items collapse into one predictable number.
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Key Features
- OpenTelemetry-native: compatible with OpenTelemetry, Datadog, New Relic, Elastic, and Prometheus agents for incremental migration
- Single billing dimension: no per-host, per-seat, custom-metric, or log-indexing line items, with unlimited users and retention included
- Full MELT coverage, AI-based Smart Sampling, and an MCP server that customers can use to query CubeAPM in natural language
- 800+ integrations: APM, logs, infrastructure, Kubernetes, Kafka monitoring, synthetic monitoring, RUM, and error tracking
Pricing
Predictable $0.15/GB pricing. At 30TB/month: ~$5,100/month all-in, roughly 70-75% below Datadog at scale. Delhivery saw a 75% cost reduction after replacing three separate monitoring tools, and Mamaearth saved ~70% and migrated in under an hour.
- Pro: predictable single-dimension pricing, no cloud egress, data stays in your VPC, and direct engineering support via WhatsApp and Slack, which responds in minutes
- Con: requires self-hosted deployment in the cloud or on-prem; may not suit teams looking for a SaaS-only model.
- Con: AI/ML anomaly detection is growing but not as mature as Dynatrace Davis AI
2. Coralogix
Best for: Teams that want cost-controlled observability with customer-owned data storage
Coralogix uses its Streama engine to process telemetry in-stream before indexing, and stores data in your own S3 bucket with effectively infinite retention. It directly targets Datadog’s log-indexing cost driver by routing low-value data to archive, and unlimited users, hosts, and data sources are included.
- Strengths: low-cost handling of high log volume, customer-owned storage with infinite retention, and unlimited users.
- Watch-outs: DataPrime is a proprietary query language, signal-based pricing needs modeling, and the control plane is SaaS rather than fully self-hosted.
- Pricing: per-signal (logs $0.42/GB, traces $0.16/GB, metrics $0.05/GB). At 30TB/month: ~$6,370/month.
3. Honeycomb
Best for: Engineering teams that want OTel-first observability and high-cardinality debugging across distributed systems
Honeycomb is built around wide events and OpenTelemetry as its primary instrumentation standard, with BubbleUp automating outlier detection across telemetry dimensions. Its event-volume pricing sidesteps Datadog’s custom-metrics surcharge, though cost still scales with the number of events you send.
- Strengths: OTel-first design, fast high-cardinality investigation, and no custom-metrics penalty.
- Watch-outs: less infrastructure-first than full-stack platforms, largely SaaS-based (private cloud is early), and cost scales with event volume.
- Pricing: event-volume-based; Free up to 20M events/month, Pro from $130/month. At 30TB/month: ~$5,600/month.
4. Grafana Cloud (LGTM Stack)
Best for: OpenTelemetry-first teams that want flexible dashboards and open-source foundations
Grafana Cloud is the managed LGTM stack – Loki, Grafana, Tempo, and Mimir – with the strongest dashboarding in the category and Adaptive Metrics and Logs to trim ingestion costs. It is fully OTel-native with no custom-metrics penalty, and a self-hosted OSS path exists for teams with the operational capacity to run it.
- Strengths: fully OTel-native, the most flexible dashboards, and a free self-hosted option.
- Watch-outs: APM is less mature than dedicated tools, has no built-in AI/ML anomaly detection, and self-hosted Grafana is prone to performance degradation at scale.
- Pricing: usage-based. At 30TB/month (managed): ~$15,000-$20,000+/month.
5. Elastic APM
Best for: Teams already on the Elastic Stack that want search, logs, and APM together with flexible deployment
Elastic APM extends Elasticsearch with distributed tracing, service maps, and ML-based anomaly detection, correlating traces with logs in one query interface. It can run as SaaS or fully self-managed, which keeps data in your environment and avoids Datadog’s per-host APM coupling.
- Strengths: strong log and trace correlation and a self-hosted option that keeps data in your environment.
- Watch-outs: operational overhead at scale, a less polished APM UX, and the 2021 SSPL licensing change to review.
- Pricing: deployment-based; self-hosted is free (you cover infrastructure), Elastic Cloud from $99/month. At 30TB/month (Elastic Cloud): ~$8,000-$15,000/month.
6. New Relic
Best for: Teams that want a broad full-stack SaaS platform with a generous free tier to start
New Relic consolidates APM, infrastructure, logs, and synthetics into the NRDB store, with OTLP ingest as its recommended data path and a free tier of 100GB per month plus one full-platform user. It trades Datadog’s SKU sprawl for a two-axis model of data plus per-user seats, so cost grows with both volume and team size.
- Strengths: broad full-stack coverage, OpenTelemetry support, and a free tier.
- Watch-outs: the dual cost axis of data plus users, an 8-day default retention, and NRQL lock-in.
- Pricing: $0.40/GB ingest plus user fees ($49 Core; $99 to $349 per user per month for full platform access). At 30TB/month: ~$20,000-$25,000+/month.
7. Sentry
Best for: Developer-led teams that want strong error monitoring, performance debugging, and session replay
Sentry is developer-first, covering errors, tracing, logs, session replay, profiling, and uptime monitoring, with AI debugging via Seer. Its session replay gives video-like reproductions of user sessions that most observability platforms do not offer, and a self-hosted option is available for teams that want to keep data in-house.
- Strengths: best-in-class error and performance debugging, session replay, and a self-hosted option.
- Watch-outs: primarily error and debugging focused rather than full infrastructure observability, so it is narrower than a Datadog-style platform.
- Pricing: event + usage-based; Team from $26/month, Business from $80/month, logs $0.50/GB. At 30TB/month: ~$15,260/month.
Cost Comparison at 30TB/Month Ingestion
| Tool | Est. Cost @ 30TB/mo | Pricing Model | OTel Native | Data Residency | Self-Hosted |
|---|---|---|---|---|---|
| CubeAPM | ~$5,100/mo all-in | $0.15/GB ingestion-based | Native | Always (in-VPC) | Yes (vendor-managed) |
| Honeycomb | ~$5,600/mo | Event-volume-based | Native | SaaS only | Private cloud (early) |
| Coralogix | ~$6,370/mo | Per-signal (BYO storage) | Native | Customer S3 | BYO storage |
| Elastic APM | ~$8K-$15K | Deployment-based | Supported | If self-hosted | Yes |
| Sentry | ~$15,260/mo | Event + usage-based | Supported | SaaS only | Yes |
| Grafana Cloud | ~$15K-$20K+ | Usage-based | Native | If self-hosted | Yes |
| New Relic | ~$20K-$25K+ | Data + users | Supported | SaaS only | No |
| Datadog (ref.) | ~$30K-$45K+ | Host + feature-based | Supported* | SaaS only | Logs only (preview) |
* OTel metrics in Datadog are often billed as custom metrics, and CloudPrem self-hosting is limited to logs in preview. New Relic shows full platform users at $99 to $349 per user per month for full platform access. Estimates are directional; vendor discounts can significantly reduce SaaS costs.
Feature Matrix
| Tool | OTel-Native | Full-Stack APM | Self-Hosted | Unlimited Retention | Predictable Pricing |
|---|---|---|---|---|---|
| CubeAPM | Native | Yes | Yes | Yes | Yes (single meter) |
| Coralogix | Native | Yes | BYO storage | Yes (infinite) | Unit-based |
| Honeycomb | Native | Partial | Early | Event-based | No (event volume) |
| Grafana Cloud | Native | Partial | Yes (OSS) | Configurable | Usage-based |
| Elastic APM | Supported | Yes | Yes | Configurable | Deployment-based |
| New Relic | Supported | Yes | No | No (8-day default) | No (data + users) |
| Sentry | Supported | Partial | Yes | Limited | No (event-based) |
Which Datadog Alternative Is Right for You?
- CubeAPM: cost predictability and data sovereignty; a single $0.15/GB meter collapses Datadog’s many meters and runs in-VPC with zero egress.
- Coralogix: high log volume with customer-owned storage and infinite retention.
- Honeycomb: OTel-first, high-cardinality debugging without a custom-metrics penalty.
- Grafana Cloud: OTel-first teams that want maximum dashboard flexibility and open-source foundations.
- Elastic APM: teams already on the Elastic Stack that want search, logs, and APM together.
- New Relic: a broad SaaS platform with a free tier to start small.
- Sentry: developer-led error monitoring, performance debugging, and session replay.
When Datadog Is Still the Right Choice
Datadog is best for teams that want one mature SaaS platform for observability, security, APM, logs, RUM, synthetics, and integrations, and where cost is not a constraint.
- Your usage fits within budget, and the bill stays predictable
- You want one vendor across infrastructure, APM, logs, RUM, synthetics, and security without stitching tools together
- Your team actively uses several Datadog modules, and migration work may outweigh the savings
- The integration ecosystem matters – Datadog’s 1,000+ integrations are hard to replicate quickly
Final Thoughts
Most teams leave Datadog over cost, not capability: SKU sprawl, log-indexing charges, and coupled APM billing all compound as usage grows. Among the alternatives, CubeAPM, Coralogix, and Honeycomb make the strongest case for cost predictability, Grafana Cloud and Elastic offer the most deployment flexibility, and New Relic the broadest full-stack SaaS coverage.
Before switching, model your real telemetry volume, retention needs, residency requirements, and OpenTelemetry usage against your top two options. Those numbers decide it more clearly than any feature checklist.
Frequently Asked Questions
Why does Datadog get so expensive at scale?
Costs build across many independent meters – hosts, log ingest and indexing, indexed spans, custom metrics, RUM, and synthetics – and log indexing alone can dominate the bill at high volume. Because APM hosts must also carry Infrastructure Monitoring, adding APM raises the baseline rather than replacing it.
What is the cheapest Datadog alternative at scale?
At a 30TB/month reference scenario, single-dimension and customer-storage models price lowest: self-hosted, ingestion-based platforms such as CubeAPM (~$5,100/month) and event- or signal-based tools like Honeycomb and Coralogix sit well below Datadog’s host-and-feature pricing.
Does self-hosting reduce cloud egress costs?
Yes. When telemetry stays inside your own VPC, you avoid the ~$0.10/GB cloud transfer fees that SaaS observability incurs, around $3,000/month at 30TB. That is a real saving that never appears on a SaaS vendor’s invoice.
How hard is it to migrate off Datadog?
OTel-instrumented telemetry is easiest to reroute; many teams dual-write to the new backend before cutover, rebuild dashboards and alerts, and validate log search and trace correlation before turning Datadog off. Standardizing on OpenTelemetry keeps the migration to queries and dashboards rather than re-instrumenting services.
