DataMatch Enterprise vs Ingestro
DataMatch Enterprise
dataladder.comIngestro
ingestro.comSide by side
| Figure | DataMatch Enterprise | Ingestro |
|---|---|---|
| Price from | — | — |
| Free plan | — | — |
| Free trial | Yes | Yes |
| Open source | — | — |
| Web | Yes | Yes |
| Windows | Yes | — |
| Linux | Yes | — |
| API | Yes | Yes |
| Self-hosted | Yes | Yes |
| Plans published | 3 | 5 |
| Spec score · Data Cleansing Software | 8.7 (#5) | 7.6 (#16) |
| Headquarters | 68 Bridge St Suite 307, Suffield, CT 06078, United States | Hamburg, Germany |
| Purpose | DataMatch Enterprise is a code-free toolkit for data profiling, cleansing, matching, and deduplication across data sources. | Ingestro provides AI-enabled tools for importing customer data and automating file-based data workflows. |
| Support | The product page lists [email protected] and +1 (888) 779 6578 as contact details. | Pricing lists email support for Pro and premium support, a shared Slack channel, and dedicated customer success and solutions staff for Business. |
Plans
DataMatch Enterprise
- DataMatch EnterprisePriced on request
- DataMatch Enterprise + Address VerificationPriced on request
- DataMatch Enterprise + APIPriced on request
Ingestro
- Business (Data Importer)Price not published
- Business (Data Pipelines)Price not published
- Custom (Data Importer)Price not published
- Custom (Data Pipelines)Price not published
- Pro (Data Importer)Price not published
In their own words
DataMatch Enterprise
DataMatch Enterprise is a code-free toolkit for profiling, cleansing, matching, and deduplicating data from multiple sources. Its profiling tools identify quality problems and help surface where data may need cleansing, standardization, matching, or deduplication. Matching methods include phonetic, numeric, domain-specific, and fuzzy approaches, with adjustable algorithm levels and weights. An address module verifies and corrects mailing addresses, fills missing details, and adds ZIP+4 geocoding information. A REST API makes cleansing and matching functions available to custom projects. The containerized release can run on Linux, on-premises infrastructure, or in the cloud; listed platforms also include web and Windows. Visual entity graphs support review of matched groups from a particular run, rather than persistent identity graphs across batches. The maker describes the interface as intended for business users, IT specialists, data analysts and scientists, and novice users. The product is paid, with pricing on request; a free trial is available, but there is no free plan.