DinMo vs Precisely Data Matching and Entity Resolution
DinMo
dinmo.comPrecisely Data Matching and Entity Resolution
precisely.comSide by side
| Figure | DinMo | Precisely Data Matching and Entity Resolution |
|---|---|---|
| Price from | — | — |
| Free plan | — | — |
| Free trial | — | — |
| Open source | — | — |
| Web | Yes | Yes |
| Windows | — | Yes |
| Linux | — | Yes |
| API | Yes | — |
| Self-hosted | — | Yes |
| Plans published | 1 | 1 |
| Spec score · Identity Resolution Software | 8.1 (#3) | 7.2 (#19) |
| Integrations | DinMo lists integrations including Meta Ads, Google Ads, TikTok Ads, HubSpot, Braze, and Klaviyo. | Precisely’s partner ecosystem includes AWS, Azure, Google Cloud, Cloudera, Confluent, Databricks, Snowflake, SAP, ServiceNow, and Splunk. |
| Intended users | DinMo says it aims to make customer data usable by business teams and marketers regardless of their technical background. | The solution is positioned for organizations seeking trusted entity data for decision-making, customer engagement, fraud detection, anti-money-laundering, and compliance use cases. |
| Security | DinMo reports SOC 2 Type II compliance and says confidential data is encrypted at rest and protected in transit. | Precisely says its SaaS solutions are assessed to SOC 2 Type II annually and certified to ISO 27001:2022. |
| Support | DinMo provides [email protected] as a contact address and directs prospective customers to book a demo. | Precisely offers customer support plans, including 24/7 severity support, and a portal with documentation, downloads, API information, and forums. |
Plans
Precisely Data Matching and Entity Resolution
- Data matching and entity resolution solutionsPriced on request
In their own words
DinMo
DinMo is a paid, web-based and API-accessible customer data platform that operates on a company’s cloud data warehouse. Its Activation module lets business teams create customer segments without code and send them to CRM, advertising, and on-site destinations. A drag-and-drop builder uses behavior, value, and frequency rules and previews insights before activation. Teams can export audiences, automate synchronization, configure alerts, and control send frequency. Listed warehouse sources are Amazon Redshift, Google BigQuery, Databricks, Snowflake, and PostgreSQL. Destinations include Meta Ads, Google Ads, TikTok Ads, Braze, HubSpot, Klaviyo, and Salesforce Marketing Cloud. DinMo says it activates warehouse data without storing a copy itself and runs workloads within that infrastructure. Its AI features forecast lifetime value, churn risk, channel affinity, and product preferences. Customer Hub adds unified profiles, KPI dashboards, and A/B testing, but is an additional Enterprise-only module. Security listings include SOC 2 Type 2, GDPR and CCPA compliance, access controls, SSO, and fixed IP addresses. Pricing is on request.
Precisely Data Matching and Entity Resolution
Precisely Data Matching and Entity Resolution links records across systems when they refer to the same real-world entity. It is designed to create trusted views of people, households, businesses, suppliers, assets, products, parts, and locations for uses such as customer 360, fraud detection, anti-money laundering, and business decisions. Configurable matching and AI/ML support work across large, complex datasets with less dependence on IT. Precisely solutions can profile data, apply business rules, and enrich records with demographic, firmographic, and location intelligence before matching. Spectrum Quality provides phonetic, distance-based, and country-specific algorithms for B2B and B2C names across more than 200 countries. The solutions work in on-premises and cloud environments; listed platforms include Linux, Windows, web, and self-hosted. Batch file import, household matching, and organization matching are supported. Precisely reports that Schwan’s experienced a 25% decrease in new customer duplicate data. Pricing is available on request. The company was founded in 1968 and is headquartered in Burlington, Massachusetts, USA.