Pricing & TCO Intelligence
Understand how 50 leading vendors charge — pricing models, TCO signals, and market segment fit across AIOps, ITOM, RPA, AgentOps, and SecOps.
Pricing data is analyst-synthesized from public sources, analyst reports, and buyer community data. It is provided for directional guidance only. Contact vendors directly for current quotes and contract terms.
Leaders
5 of 5Dynatrace
$69/month per host (8 GiB, APM + Infra)
$200K–$1M+ for enterprise full-stack
Key cost drivers
- Host units priced separately per product (APM, Infra, DEM)
- Log ingest volume scales steeply at enterprise size
- Real User Monitoring billed per session
Full-stack enterprise observability — budget $500K+ for serious coverage.
Datadog
$15/host/month (Infrastructure Monitoring)
$150K–$2M for multi-product enterprise
Key cost drivers
- APM spans, custom metrics, and log ingestion each billed separately
- Multi-product stacking (20+ products) drives bills up quickly
- On-demand rates significantly higher than committed contracts
Transparent list prices — but multi-product stacking drives bills up fast.
Splunk (Cisco)
$250K–$3M ARR for enterprise security + observability
Key cost drivers
- Daily log ingest volume (GB/day) is the primary cost driver
- Workload pricing adds compute charges on top of ingest
- Post-Cisco acquisition — licensing complexity and premiums increasing
Industry benchmark with enterprise complexity — expect multi-year negotiations.
Elastic
Free (open-source); $95/month (Elastic Cloud Starter)
$50K–$300K for enterprise cloud
Key cost drivers
- Data ingested and stored (GB) drives Elastic Cloud billing
- Retention period multiplies storage costs significantly
- Platinum/Enterprise tiers required for ML and security features
Open-source entry point keeps initial costs low; cloud scale costs grow.
Grafana Labs
Free (Grafana Cloud: 10K metrics, 50 GB logs)
$12K–$150K ARR for Grafana Cloud enterprise
Key cost drivers
- Active metrics series count and cardinality
- Log volume ingested per month (GB)
- Distributed traces stored
Best entry-price in the market — usage grows gracefully with the platform.
To Watch
5 of 5Resolve.AI
$200K–$500K for enterprise AI ops agents
Key cost drivers
- Number of AI agent integrations and runbooks
- Incident volume processed autonomously
- Enterprise connector and data source count
Enterprise AI ops pricing still emerging; expect significant investment.
Monte Carlo
$80K–$300K for mid-enterprise
Key cost drivers
- Number of monitored data assets, tables, and pipelines
- Data warehouse query costs passed through
- Enterprise SSO, RBAC, and compliance features are top-tier only
Data observability ROI is clear — pricing scales with your data estate size.
Incident.io
Free (up to 5 users); $25/user/month (Team)
$10K–$80K for engineering teams
Key cost drivers
- Responder / on-call seat count
- Enterprise tier for AI post-mortems and analytics
- Slack workspace integration tiers
Transparent per-seat model — accessible to any engineering team.
Groundcover
$30K–$150K for cloud-native engineering teams
Key cost drivers
- Cluster node count and pod density
- Data ingested and retained
- eBPF coverage breadth across services
Positioned as a 50–70% cheaper Datadog alternative for Kubernetes teams.
Last9
From $200/month for 2M metric samples
$10K–$80K
Key cost drivers
- Monthly metric samples ingested
- Log GB stored and queried
- SLO tracking and error budget features in higher tiers
Developer-friendly pricing — built for SRE teams watching cloud costs.