Admixer DMP
5.6#13 in data management platformsWebAPI
VisitAdmixer DMP vs Diskover
What both publish
| Fact | Admixer DMP | Diskover |
|---|---|---|
| Audience | The product inquiry form lists advertisers, agencies, publishers, data providers, and technology vendors as company types. | Diskover identifies media, life science, EDA, and energy as industries with specialized add-ons. |
| Founded | 2008 | Diskover states that it was founded in 2016. |
| Headquarters | Admixer lists its headquarters as Admixer EU GmbH in Essen, Germany. | The company lists 2033 Gateway Place Suite 420, San Jose, California 95110, USA. |
| Integrations | The DMP is built into Admixer.DSP and Admixer.SSP and supports integration with external data sources and ad platforms. | Documented integrations and plugins cover Dell PowerScale, Dell Unity, Azure Blob, OneDrive, SharePoint, S3-compatible storage, Spectra Logic, Grafana, Rclone, CloudSoda, Snowflake and NetApp workflows. |
| Purpose | Admixer.DMP is a data management platform for precise audience targeting. | Diskover indexes files across storage platforms into one searchable catalog for unstructured data management. |
| Support | The DMP page invites prospective customers to describe their challenges or opportunities through its contact form. | Support includes a free Slack community, online resources, subscription ticketing, phone support and optional deployment, training and optimization services. |
Admixer DMP plans
No prices published.
Diskover plans
- Community EditionFree
- AI connectorPriced on request
- EnterprisePriced on request
- Industry add-onsPriced on request
- MultistreamPriced on request
- ProfessionalPriced on request
Pick Admixer DMP if…
It may suit advertisers, agencies, publishers, data providers, and technology vendors seeking to organize audience data and activate segments across advertising channels.
Pick Diskover if…
Diskover may suit teams managing large file estates, including organizations in media, life science, EDA and energy. It also offers AI-oriented data preparation and an optional natural-language connector.