Acryl Data vs DQLabs
Acryl Data
Reliable Data. Compliant AI. Simple | Driving DataHub, the #1 Open Source Metadata Platform | Discover, Govern, Observe
48 employees · est. 2021 · Mountain View, United States
DQLabs
DQLabs Modern Data Quality Platform (Observe—Measure—Discover—Remediate the data that matters)
71 employees · est. 2020 · Pasadena, United States
DQLabs is the older company (2021 vs 2020); DQLabs is the larger of the two.
Side-by-Side Comparison
| Metric | Acryl Data | DQLabs |
|---|---|---|
| Founded | ||
| Founded | 2021 | 2020 older |
| Headquarters | ||
| Headquarters | Mountain View, United States | Pasadena, United States |
| Employees | ||
| Employees | 48 | 71 larger |
| Industry | ||
| Industry | Data Analytics | AI, Analytics, Data Analytics |
| Funding Stage | ||
| Funding Stage | Series A | Not tracked yet |
| Total Funding | ||
| Total Funding | $30.00M | Not tracked yet |
| Funding Rounds | ||
| Funding Rounds | 2 | Not tracked yet |
| Taxonomy | ||
| Taxonomy | Open Source SoftwareMetadata PlatformData DiscoveryData LineageData GovernanceData Observability +8 | Data Quality PlatformData ObservabilityData DiscoverySelf-learning CapabilitiesData GovernanceData Integration +6 |
| Website | ||
| Website | acryldata.io | dqlabs.ai |
About Acryl Data
Acryl Data is a data management startup with a mission to help organizations regain control of their fragmented data stack. Founded in 2020 by leaders experienced in building data teams at LinkedIn and Airbnb, the company drives the #1 open source Metadata Platform DataHub. This platform boasts a co...
About DQLabs
DQLabs is a Modern Data Quality Platform with the slogan "DQLabs Modern Data Quality Platform (Observe—Measure—Discover—Remediate the data that matters)". Founded in 2020 and headquartered in the United States, DQLabs aims to enable organizations to deliver reliable and accurate data for better busi...
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Compiled from the BounceWatch company index. We last looked at Acryl Data on 12 Sep 2024, and DQLabs on 11 Sep 2024. Where a field is blank here, it means we have not recorded it — not that the answer is zero. How we source and date this.
