Data Lens
6.1#18 in customer data quality softwareFrom $15,000 a yearWeb
VisitData Lens vs Zingg
What both publish
| Fact | Data Lens | Zingg |
|---|---|---|
| Headquarters | Santa Monica, California, United States | Lewes, Delaware, United States |
| Integrations | The maker lists native connectors including Databricks, Azure Data Lake and Snowflake, and says clean outputs can route to Matchbook XDM or Sales Analytics. | Documented connectors include Databricks, Snowflake, Cassandra, S3, Azure, Elastic, Exasol, relational databases and Spark-supported sources. |
| Intended users | The page identifies Revenue Operations teams, CRM implementation partners, migration teams, and Sales, Marketing and RevOps leaders as intended users. | The maker describes Zingg as a tool for analytics engineers and data scientists to integrate data silos and build unified views at scale. |
| Matching | It matches Contacts and Companies using confidence-scored logic, applies survivorship rules and automatically updates Deal associations after merges. | It combines machine learning matching with rule based deterministic matching, which can use identifiers such as email, SSN, and passport ID. |
| Purpose | Data Lens audits, cleanses, normalises and deduplicates CRM data. | Zingg is open source, warehouse native master data management software for resolving entities and building unified views from siloed data. |
| Support | The company offers a demo and lists [email protected] and (310) 643-4596 for contact. | The comparison page lists open source support for Community and enterprise grade support for both Enterprise editions. |
Data Lens plans
- Tier 1 — Basic Access (Annual Partner Fee)$15,000 a year
- Tier 2 — Managed Data Lens (Annual Partner Fee)Priced on request
Zingg plans
- CommunityFree
- Community (Open Source)Free
- EnterprisePriced on request
- Enterprise LitePriced on request
- Zingg EnterprisePriced on request
- Zingg Enterprise LitePriced on request
Pick Data Lens if…
Data Lens suits Revenue Operations teams, CRM implementation partners and migration or transition teams. It may also fit Sales, Marketing and RevOps leaders overseeing CRM data quality.
Pick Zingg if…
You want what its maker publishes above — check its page for the details.