Overview
DQE One Standalone is a self-contained application for organisations that do not use a supported CRM or e-commerce platform. It runs on your own infrastructure (or DQE's, if we host it for you) and provides data preparation, data quality and deduplication services, plus real-time duplicate-check APIs — independently of any third-party platform.
What DQE One Standalone includes
The following services are available depending on your contract:
- Data preparation: find-and-replace and regex-based field formatting on your data (Find & Replace, Format).
- Data quality checks: format and existence validation and enrichment of email addresses, postal addresses (RNVP), phone numbers and B2B/SIRET company data.
- Deduplication (Unify): identification and merging of duplicate contacts across large datasets.
- Real-time duplicate-check API: index your records (Index Records) so your own applications can query them in real time, before creating a new one.
Every service runs as a process against one of 7 data sources: Salesforce, Microsoft Dynamics 365, PostgreSQL, BigQuery, Snowflake, SFTP or a CSV file upload — not file-based processing alone.
Processes can be chained into a DataPipeline, run on a Schedule, and trigger a Webhook once they finish. The application also exposes an MCP server, so AI assistants such as Claude can list, create and run your processes, rulesets and files directly.
System requirements
The server running DQE One Standalone must meet the following minimum specifications:
- Batch processing: 8 GB RAM, 256 GB disk space.
- With the Deduplication module: 16 GB RAM, 512 GB disk space.
- For large volumes (over 10 million records): 32 GB RAM recommended.
In this section
- Standalone — Prerequisites
- Standalone — Virtual Machine Linux Backend server installation
- Standalone — Virtual Machine Windows Backend server installation
- Standalone — Azure Container Instance (ACI) installation
- How-to guides — platform demo and usage guides
- Maintenance guides — updating, backing up and running your server and processes over time
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