The relationship
Datadog customers install what gives them a tile they trust. We open with the metrics we would emit and a maintained integration, then talk co-sell.
How to partner with Datadog
Datadog is a Data platform. Observability sitting on top of the product you already run. A technology partnership here is not a logo on a partners page. It is a named owner, a commercial motion a seller can explain, and a plugin, API, or workflow a customer can run. Data partnerships are pipelines with a commercial wrapper. If you cannot name the dataset and the freshness, you do not have a scope. Snowflake listings and Segment destinations are programs with review.
PartnerMatch would open this the same way we open every book: named overlap, a one-pager, then a scope. Read the developer docs before the first call. Use the relationship method if you want the order on one page.
Commercial motion that actually runs
Native listing or destination. Referral from SIs who already implement the warehouse. Cloud co-sell when the spend is on AWS, Azure, or GCP. If Datadog has a take rate on a store, model it before you price the listing. A referral is the right first move for most B2B SaaS teams. Co-sell waits for a seller on their side who will attach you to a live deal.
What to ship first
Metrics, logs, and traces through the API, plus an official integration tile if we can get it. API keys stay on the customer side.
One destination or share. Latency and delete behavior written down. A customer who will be the first pipeline. Put the listing, the help article, and the seller sentence on the same checklist as auth. A connector nobody can find is not a partnership.
How this usually fails
Promising reverse ETL and a warehouse share in the same quarter. No owner for schema changes. On Datadog specifically: arriving without a workflow, asking for co-sell before anything is installed, and treating Apply to Datadog's partner program.
Aspiring partner managers: the Academy lessons platform programs, marketplace listings, and scoping for non-engineers are the class. Companies that want the channel built book a Partner Audit.
The integration
Metrics, logs, and traces through the API, plus an official integration tile if we can get it. API keys stay on the customer side.
What to connect first
- Metrics and logs
- Monitors
- Official integration tile
Who to find at Datadog
We do not invent names. Datadog assigns a partner manager after you are in the program. The seats to look for:
- Technology / ISV partner manager
- Integrations engineering contact after you are in program
Apply to Datadog's partner program. Tile integrations have a review. Do not cold-email random engineers.
People move. Verify on the partner program page before you write to anyone.
FAQ
How do you become a Datadog technology partner?
Start from the official program, not a cold note to a VP. Read Datadog’s partner page. Apply to Datadog's partner program. Tile integrations have a review. Do not cold-email random engineers. PartnerMatch opens with named shared customers and a scoped workflow, then the listing if there is a store.
What integration should you ship first with Datadog?
Ship one job, not a platform rewrite. On Datadog that usually means: Metrics and logs. One destination or share. Latency and delete behavior written down. A customer who will be the first pipeline.
Does Datadog have a marketplace or app store?
Yes. List there as part of launch, not as an afterthought. The store is how their customers find you after the first install. Official listing: Datadog marketplace.
Who should you contact at Datadog?
We do not invent names. Look for Technology / ISV partner manager; Integrations engineering contact after you are in program. Apply to Datadog's partner program. Tile integrations have a review. Do not cold-email random engineers.
This page is independent. PartnerMatch is not affiliated with Datadog. Program terms change. Read them on the official pages above before you commit engineering. Last reviewed August 2026.