Freedom251 › Data Deduplication Software
Zingg
Plans
| Plan | Billed and limits | Price |
|---|---|---|
| Community (Open Source) | Batch · probabilistic matching · millions of records · open source support | Free |
| Community | Open-source edition · batch architecture · probabilistic matching · millions of records | Free |
| Zingg Enterprise | Batch and real time · probabilistic and deterministic matching · enterprise grade support | On request |
| Zingg Enterprise Lite | Batch · probabilistic and deterministic matching · enterprise grade support | On request |
| Enterprise Lite | Batch architecture · probabilistic and deterministic matching · incremental runs · enterprise support | On request |
| Enterprise | Batch and real-time architecture · probabilistic and deterministic matching · native Snowflake run · enterprise support | On request |
As zingg.ai lists them, read 3 Oct 2026. The maker's own page has the final word.
Facts from Zingg's own pages
- AI matching
- Its machine-learning matcher learns from labeled examples to find matches that fixed rules can miss. · zingg.ai, 15 Oct 2026
- CLI
- The command-line interface runs labeling, training, matching and Python programs through zingg.sh. · docs.zingg.ai, 15 Oct 2026
- Community praise
- A Provenance engineering case study reports an active Slack community, regular releases and very few operational issues in production use. · zingg.ai, 15 Oct 2026
- Contact response
- The comparison page says the team will reach out within 1–2 business days after an inquiry. · zingg.ai, 3 Oct 2026
- Deterministic matching
- Enterprise editions combine probabilistic and deterministic matching in one flow and support identifiers such as email, SSN and passport ID. · zingg.ai, 15 Oct 2026
- Docker install
- The documented Docker workflow pulls zingg/zingg:0.5.0 and starts it with an interactive shell. · docs.zingg.ai, 15 Oct 2026
- Documentation depth
- Documentation covers installation, command-line use, Python APIs, connectors, cloud platforms, security, FAQs and step-by-step examples. · docs.zingg.ai, 15 Oct 2026
- Entity coverage
- The product is positioned for customers, suppliers, products, locations and other entity types. · zingg.ai, 15 Oct 2026
- File formats
- The connector layer supports formats including Parquet, Avro, JSON, XLSX, CSV and TSV. · docs.zingg.ai, 15 Oct 2026
- Funding information
- The opened Crunchbase page exposed performance metrics and placeholder recent-event entries but no usable funding amount or named funding round. · crunchbase.com, 15 Oct 2026
- GitHub activity
- The public repository showed about 1.3k stars, 178 forks, 91 issues and 23 pull requests when opened. · github.com, 15 Oct 2026
- Headquarters
- Lewes, Delaware, United States · zingg.ai, 28 Sept 2026
- Incremental processing
- Enterprise editions support incremental runs against previously matched data, and Enterprise also supports real time architecture. · zingg.ai, 3 Oct 2026
- Independent company profile
- LinkedIn describes Zingg.AI as a privately held software-development company headquartered in San Francisco with 2–10 employees and founded in 2021. · linkedin.com, 15 Oct 2026
- Independent comparison
- Data Stack Hub lists Zingg as an open-source machine-learning entity-resolution tool for record linkage, matching and deduplication, with no G2 rating displayed. · datastackhub.com, 15 Oct 2026
- Independent integration evidence
- AWS published a 23 May 2024 tutorial showing Zingg used inside AWS Glue notebooks and ETL jobs for entity resolution. · aws.amazon.com, 15 Oct 2026
- Independent limit: engineering burden
- MatchLogic says Zingg requires engineering ownership of operations, review, survivorship and access control and may require statistical or machine-learning expertise. · matchlogic.io, 15 Oct 2026
- Independent praise: control
- MatchLogic describes Zingg as free open-source software giving engineering teams control over the resolution model and the ability to scale on Spark and warehouses. · matchlogic.io, 15 Oct 2026
- Integrations
- Documented connectors include Databricks, Snowflake, Cassandra, S3, Azure, Elastic, Exasol, relational databases and Spark-supported sources. · docs.zingg.ai, 15 Oct 2026
- 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. · docs.zingg.ai, 3 Oct 2026
- Interactive labeling
- Zingg provides an interactive labeling workflow so users can train matching models with selected record pairs. · zingg.ai, 15 Oct 2026
- Language matching
- The product page lists matching for Chinese, Japanese, Thai, Hindi, German, French, and Greek without language specific setup. · zingg.ai, 3 Oct 2026
- Licence
- The public Zingg repository is licensed under GNU Affero General Public License version 3.0. · github.com, 15 Oct 2026
- Limit: pre-1.0 maturity
- The Provenance case study characterizes Zingg as pre-1.0, although the user says it was viable for production in that deployment. · zingg.ai, 15 Oct 2026
Where Zingg stands on Freedom251
- Data Deduplication Software#1 of 27
- Customer Data Quality Software#2 of 27
- Identity Resolution Software#2 of 25