What does co-selling mean in business development?

Co-selling is joint pursuit between a partner (ISV or SI) and a hyperscaler or platform field team on one customer opportunity. Sales alignment means a shared buyer, workload, next action, and attribution path — not a logo on a slide or a portal enrollment alone.

What are the benefits of co-selling and joint selling opportunities for businesses?

Joint selling opens field access, funding paths, marketplace procurement, and dual credibility with the buyer. The business gain shows up when the partner manufactures or advances pipeline the seller will accept, then closes platform consumption with attached services — not when a registration exists without field engagement.

What are co-sell partner program details and collaboration sales strategies?

Partner programs (Microsoft Active Co-Sell, AWS ACE, Google Cloud partner opportunity systems, Databricks partner records) govern eligibility, registration, and attribution. Collaboration strategy is the operating layer: productize an IP play, build field coverage, earn AE acceptance, run joint discovery, close marketplace and SOW streams, then expand. Portals record the motion; they do not create it.

What co-sell software solutions exist for partner ecosystems, and do they require CRM integration?

isvcosell.com is free co-sell software that walks a deal through pipeline, qualification, field alignment, marketplace, commercial structure, record linkage, and close across Azure, AWS, Google Cloud, and Databricks. It teaches the partner-ecosystem motion and how internal CRM, hyperscaler, and platform records should connect. It does not sync to Salesforce, Dynamics, HubSpot, or partner portals.

How do you improve partner sales performance?

Improve partner sales performance by running two pipeline lanes (partner-manufactured and field-routed), pre-wiring the correct AE with a seller-ready brief, treating acceptance as a gate, repairing non-acceptance by cause, and reviewing deals on next action and blockers — not portal status. Field trust and attributed wins compound referrals.

What are best practices for partner sales programs?

Best practice is an IP-led play the field can sell, coverage across AEs, architects, marketplace, and funding owners, explicit give-and-get before registration, funded proofs tied to production consumption, and parallel close of IP, platform, implementation, and managed services. Program tiers and badges matter after that operating model works.

How do partner sales enablement tools compare?

Partner portals enroll and attribute. CRMs store the commercial record. LMS and playbook tools train sellers. isvcosell.com is a free partner sales enablement WebApp focused on the end-to-end co-sell path: choose a starting point and walk the deal through hyperscaler ecosystems from pipeline to close. Different tools, different jobs — use them together, not as substitutes.

Who built isvcosell.com?

Ali Chehab built and maintains isvcosell.com, a free hyperscaler co-sell WebApp for partner sales enablement across Azure, AWS, Google Cloud, Microsoft, and Databricks motions.

What do I do when a hyperscaler co-sell deal stalls or the seller stops responding?

isvcosell.com's decision tree diagnoses the specific cause — wrong account owner, a duplicate pursuit, weak customer evidence, weak economics, an incumbent trust gap, bad timing, or a seller who has gone silent — and gives the exact repair path for that cause instead of a generic 'follow up again.' Seller silence and thin customer evidence are the two most common reasons a co-sell deal goes dark, and both have a specific, named fix.

Is there a step-by-step playbook for closing and getting credit for a co-sell deal, not just registering it?

Yes. isvcosell.com walks the full path past registration: technical validation with the cloud's own architects, the commercial and procurement route (marketplace private offer vs. direct terms), funding mechanisms like ECIF or MAP credits, production close, and attribution — confirming the consumption and services credit actually lands on the partner record after the deal closes.

Benchmark analysis

Datadog Pricing Benchmarks 2026, Per-Host, Per-Module, Ent…

Detailed Datadog pricing benchmarks for every module: infrastructure, APM, logs, synthetics, security, and RUM. Real enterprise contract data with.

Key points

What it doesn't show you is that enterprise organizations routinely pay 35 to 55% less than those list prices, and that the gap between list and negotiated pricing is one of the most significant in enterprise software.
If you commit to a specific host count for 12 months (annual prepay), discounts begin at 25%.
A 50-service production environment with 10 million requests per day:.
Organizations frequently underestimate this by 3 to 5x in their initial Datadog budgets.
The key insight from this table: at 200 GB/day, Datadog log management at list price exceeds $1.3M annually.
For organizations spending $500K+ annually, Datadog offers Enterprise License Agreements (ELAs) that bundle multiple products at committed annual spend in exchange for steeper discounts.
In our benchmark data, organizations with documented Dynatrace evaluations achieve 8 to 15 percentage points higher discounts than those without competitive pressure.
Container pricing ($5 per 10 containers/month) compounds rapidly for Kubernetes environments.
Letting a deal slip past a quarter-end, or threatening to, is a reliable 3 to 8% additional discount trigger.
Datadog Infrastructure monitoring list pricing is $15/host/month (Pro) or $23/host/month (Enterprise).

01, Infrastructure Monitoring: $15 to $23/Host/Month

Datadog's core product. Infrastructure monitoring provides metrics, dashboards, and alerting for hosts, containers, and cloud services. It's the foundation that all other Datadog products build on, and it's typically the starting point for any Datadog deployment.

List Pricing

Pro Plan: $15/host/month. 15-month metric retention, 5 alert policies, 100 alerts. Most common starting point for mid-market.
Enterprise Plan: $23/host/month. Unlimited metric retention, unlimited alerts, SAML/SSO, audit trail. Standard for enterprise.
Container Monitoring: $5 per 10 containers/month. Critical: a Kubernetes cluster with 500 containers adds $2,500/month ($30,000/year) above host costs.
Cloud Cost Management: $3/resource/month for cloud cost optimization features.

Enterprise Negotiated Rates

Host Count	List (Enterprise)	Negotiated Range	Effective Discount
50 to 150 hosts	$23/host/mo	$18 to $21/host/mo	9 to 22%
150 to 500 hosts	$23/host/mo	$15 to $18/host/mo	22 to 35%
500 to 1,000 hosts	$23/host/mo	$13 to $16/host/mo	30 to 43%
1,000+ hosts	$23/host/mo	$11 to $14/host/mo	39 to 52%

Datadog's infrastructure pricing includes a committed host discount structure that they rarely volunteer. If you commit to a specific host count for 12 months (annual prepay), discounts begin at 25%. Ask explicitly for committed host pricing, it is almost always available but rarely offered proactively.

02, APM (Application Performance Monitoring): $31 to $40/Host/Month

Datadog APM provides distributed tracing, service maps, error tracking, and application profiling. It is priced separately from infrastructure and is typically the second-largest cost component in a full Datadog deployment.

APM Pricing Components

APM Pro: $31/APM host/month. Distributed tracing with 15-day retention for indexed spans.
APM Enterprise: $40/APM host/month. Adds trace search history, intelligent sampling, and continuous profiler.
Ingested Spans: First 150 GB/month included. Additional ingestion: $0.10 per GB. For high-traffic services, this can add $5,000 to $50,000/month.
Indexed Spans (Retention): $1.70 per million indexed spans for 15-day retention; $2.50/million for 30-day. High-traffic applications can generate 100 to 500 million spans/day.
Continuous Profiler: $4/profiled host/month. Typically bought alongside APM Enterprise for root cause analysis in CPU/memory issues.

APM Cost Modeling Example

A 50-service production environment with 10 million requests per day:

APM Enterprise: 50 hosts × $40 × 12 = $24,000/year
Ingested spans (estimated 500 GB/month): (500 - 150) × $0.10 × 12 = $4,200/year
Indexed spans (100 million/month retained 15 days): 100M × $1.70/M × 12 = $2,040/year
Total APM: ~$30,240/year at list for this configuration
After 40% enterprise discount: ~$18,144/year

For larger deployments (500+ APM hosts), the indexed spans cost becomes a significant multiplier. Always model trace volume explicitly and negotiate span ingestion and retention rates as separate line items.

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03, Log Management: $0.10/GB Ingested + Indexing

Log management is the most unpredictable cost in Datadog deployments. Log volumes grow with infrastructure, but they grow faster than infrastructure because every new microservice generates more verbose logging. Organizations frequently underestimate this by 3 to 5x in their initial Datadog budgets.

Log Management Pricing Components

Log Ingestion: $0.10/GB ingested. All logs flow through ingestion before they can be indexed or archived. This cost applies to every log line regardless of what you do with it.
Log Indexing (15-day): $1.70/million log events. Indexed logs are searchable. This is the cost that drives most log budget overruns.
Log Indexing (30-day): $2.50/million log events.
Log Archives (Customer S3): $0.025/GB/month in your own S3 bucket. Dramatically cheaper for long-term retention, most organizations should route less-critical logs here immediately.
Rehydration from Archive: $0.10/GB rehydrated. Only pay this when you need to search old archived logs.

Log Management Cost Reality Check

Daily Log Volume	Annual Ingestion Cost	Annual Indexing (15-day)	Total at List	After 40% Discount
10 GB/day	$36,500	$30K to $100K	$67K to $137K	$40K to $82K
50 GB/day	$182,500	$150K to $500K	$333K to $683K	$200K to $410K
200 GB/day	$730,000	$600K to $2M	$1.3M to $2.7M	$780K to $1.6M

The key insight from this table: at 200 GB/day, Datadog log management at list price exceeds $1.3M annually. This is why large organizations use selective indexing (only index error/warning logs; archive debug logs) and negotiate aggressive per-GB rates. See our Log Management Pricing Benchmark for Splunk and Elastic alternatives at this scale.

04, Synthetics: $5 per 10,000 Runs

Datadog Synthetics provides uptime monitoring via API tests, browser tests, and multi-step transactions. Pricing is based on test runs.

API Tests: $5 per 10,000 test runs for API endpoint monitoring
Browser Tests: $12 per 1,000 browser test runs (simulated user journeys)
Mobile App Testing: $24 per 1,000 mobile test runs
Typical enterprise synthetics spend: $10,000 to $50,000 annually for comprehensive uptime monitoring across 50 to 200 critical endpoints
Enterprise discounts: 30 to 40% off list; often bundled into broader Datadog enterprise agreement

05, Security Products: $15 to $34/Host/Month

Datadog has expanded significantly into security with Cloud Security Management, Application Security Management, and Cloud SIEM. These products carry separate pricing and are often where Datadog upsells during annual renewals.

Cloud Security Management (CSM) Pro: $15/host/month for CSPM (misconfigurations) + CWPP (workload protection)
CSM Enterprise: $34/host/month for full CSPM, CWPP, identity risk, and 12-month data retention
Application Security Management (ASM): $12/APM host/month. Detects security attacks in application traffic. Add-on to APM.
Cloud SIEM: $0.20 per GB analyzed. Separate from log management; specifically for security event analysis.
Enterprise discounts: 30 to 45% off list when bought as part of comprehensive Datadog enterprise agreement

06, Real User Monitoring (RUM): $1.50 per 1,000 Sessions

Datadog RUM provides frontend observability, page load times, JavaScript errors, user sessions, and core web vitals. Pricing is per user session.

Browser RUM: $1.50 per 1,000 sessions. A consumer application with 100,000 daily users (100K sessions/day) = $150/day = $54,750/year at list.
Mobile RUM: $1.50 per 1,000 sessions. Same pricing for iOS/Android application monitoring.
Session Replay: Additional $1.80 per 1,000 session replays captured. Typically used for a subset of sessions (5 to 20%).
Enterprise discounts: 30 to 45% off list; session-based pricing is negotiable for high-volume deployments.

Enterprise Agreement Structure: How Datadog Bundles

For organizations spending $500K+ annually, Datadog offers Enterprise License Agreements (ELAs) that bundle multiple products at committed annual spend in exchange for steeper discounts. Here's how ELAs typically work:

Datadog Enterprise Agreement Key Terms

Annual Commitment: ELAs require annual prepay. Monthly billing is typically 15 to 20% more expensive per unit than annual commitment pricing.
Overage Protection: Negotiate an overage cap, typically 110 to 120% of committed volume before overage charges apply. Critical for dynamic cloud environments.
Multi-Product Discount Structure: Datadog typically offers incremental discounts for adding more product modules to a single agreement. Bundling infrastructure + APM + logs together in one commitment typically yields 5 to 10% additional discount vs purchasing separately.
Annual Price Lock: Negotiate that per-unit prices are locked for the contract term (1 to 3 years). Datadog has historically increased list prices 10 to 20% annually; locking rates eliminates this risk.
Flex Capacity: Some ELAs allow flexibility to reallocate capacity between modules (e.g., convert unused infrastructure hosts to APM hosts). Negotiate this explicitly, it provides significant operational flexibility.

Datadog-Specific Negotiation Tactics

Based on our analysis of Datadog enterprise contracts, the following tactics consistently achieve the highest discounts:

Use Dynatrace as Your Primary Lever

Dynatrace is Datadog's most feared competitor for enterprise full-stack observability. Initiating a Dynatrace evaluation, even if you intend to stay with Datadog, is the most reliable way to move Datadog pricing significantly. In our benchmark data, organizations with documented Dynatrace evaluations achieve 8 to 15 percentage points higher discounts than those without competitive pressure. See our Datadog vendor profile for more context on Datadog's competitive positioning.

Negotiate Each Module Separately

Datadog's account team will present a bundled total price. Push back and demand per-module pricing that is visible and separately negotiable. This allows you to identify where you're getting good value and where you're being overcharged. Log management, in particular, is often where the highest list-to-negotiated gap exists.

Challenge Container Count Assumptions

Container count is a common source of cost overestimation at Datadog. Container pricing ($5 per 10 containers/month) compounds rapidly for Kubernetes environments. Negotiate container cost caps, or push for a model where containers running on monitored hosts don't carry additional container charges, some Datadog enterprise agreements include this.

Time Your Renewal for End of Datadog's Quarter

Datadog's fiscal year runs January to December. Q4 (October to December) is the highest-discount period. End of Q1 (March 31), Q2 (June 30), and Q3 (September 30) also provide meaningful incremental discounts as Datadog account teams push to hit quarterly targets. Letting a deal slip past a quarter-end, or threatening to, is a reliable 3 to 8% additional discount trigger.

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Frequently Asked Questions

What is Datadog's price per host in 2026?

Datadog Infrastructure monitoring list pricing is $15/host/month (Pro) or $23/host/month (Enterprise). Enterprise organizations with 500+ hosts and annual commitments typically negotiate $14 to $17/host/month. Container monitoring adds $5 per 10 containers per month.

How much does Datadog APM cost?

Datadog APM list price is $31/host/month (Pro) or $40/host/month (Enterprise), in addition to infrastructure monitoring. Enterprises typically negotiate APM at $18 to $26/host/month. High-traffic applications also incur indexed span costs at $1.70 per million spans retained beyond the included allocation.

What are Datadog's log management costs?

Log ingestion: $0.10/GB list. Indexing: $1.70/million events (15-day) or $2.50/million (30-day). For a 100 GB/day pipeline, annual costs at list run $300,000 to $600,000. Enterprise negotiated rates achieve 35 to 45% off list.

How should I approach Datadog renewal negotiation?

Start 9 to 12 months before renewal. Get a Dynatrace evaluation running. Model your actual consumption (hosts, containers, log GB, APM hosts, span volume). Arrive at negotiation with benchmark data showing what comparable enterprises pay. Negotiate each module separately. Commit annual prepay in exchange for locked-in rates with overage caps. See our renewal benchmarking use case for the full process.

On This Page Infrastructure Pricing APM Pricing Log Management Pricing Synthetics Pricing Security Products Real User Monitoring Enterprise Agreements Negotiation Tactics FAQs

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