Tilores vs Zingg
Tilores
tilores.io
Zingg
zingg.aiSide by side
| Figure | Tilores | Zingg |
|---|---|---|
| Price from | Free | Free |
| Free plan | Yes | Yes |
| Free trial | — | — |
| Open source | — | Yes |
| Web | Yes | — |
| Windows | Yes | — |
| macOS | Yes | Yes |
| Linux | Yes | Yes |
| API | Yes | Yes |
| Self-hosted | Yes | Yes |
| Plans published | 4 | 6 |
| Spec score · Data Deduplication Software | 8.3 (#5) | 8.1 (#8) |
| Documentation depth | The documentation covers CLI installation, AWS deployment, GraphQL authentication, schema editing, record submission, searching and rule configuration. | Documentation covers installation, command-line use, Python APIs, connectors, cloud platforms, security, FAQs and step-by-step examples. |
| Headquarters | Berlin, Germany | Lewes, Delaware, United States |
| Integrations | The production platform lists prebuilt Salesforce, HubSpot and Snowflake connectors plus webhooks and event streaming. | Documented connectors include Databricks, Snowflake, Cassandra, S3, Azure, Elastic, Exasol, relational databases and Spark-supported sources. |
| Intended users | The company describes Tilores as infrastructure for developers and presents use cases including fraud, compliance, Customer 360, and AI. | The maker describes Zingg as a tool for analytics engineers and data scientists to integrate data silos and build unified views at scale. |
| Licence | The commercial software licence grants limited internal object-code rights and prohibits modification, reverse engineering, sublicensing or offering it as a hosted service without permission. | The public Zingg repository is licensed under GNU Affero General Public License version 3.0. |
| Matching | The platform combines deterministic rules and fuzzy matching, with explainable links, a quality score, and an audit trail. | It combines machine learning matching with rule based deterministic matching, which can use identifiers such as email, SSN, and passport ID. |
| Purpose | Tilores resolves duplicate and conflicting records across systems into unified entity profiles in real time. | Zingg is open source, warehouse native master data management software for resolving entities and building unified views from siloed data. |
| Rating on G2 | Tilores scores 4.7 out of 5 from 30 reviews. | No Zingg rating is displayed in the opened Data Stack Hub comparison, and that page does not state a review count. |
| Support | Production quotes can scope support from standard technical support to a dedicated customer success engineer. | The comparison page lists open source support for Community and enterprise grade support for both Enterprise editions. |
| What it does | Tilores links duplicate and conflicting records from separate systems into a single resolved entity for fraud, compliance, Customer 360 and AI workloads. | Zingg uses machine learning and Spark to link duplicate or related records into unified entity identities for master-data and identity-resolution workflows. |
Plans
Tilores
- Tilores StudioFree
- Tilores Studio Local ModeFree
- Production TiloresPriced on request
- Tilores ProductionPriced on request
Zingg
- CommunityFree
- Community (Open Source)Free
- EnterprisePriced on request
- Enterprise LitePriced on request
- Zingg EnterprisePriced on request
- Zingg Enterprise LitePriced on request
In their own words
Tilores
Tilores resolves duplicate and conflicting records into unified entity profiles in real time. It maps, normalizes, and enriches fields such as names, phone numbers, and addresses before applying deterministic rules and fuzzy matching. Results can include explainable links, a quality score, and an audit trail. A real-time GraphQL API supports entity retrieval, ranked fuzzy searches, and aggregation of source records. Listed connectors include Salesforce, HubSpot, and Snowflake, alongside webhooks and event streaming. Deployment options include managed AWS, a customer's AWS account or another cloud, and on-premise installations. Developers can connect entity resolution to LangChain and Amazon Bedrock through IdentityRAG; the company says it works with any LLM through LangChain. Tilores Studio runs locally on macOS Apple Silicon, Windows x64, or Linux x86_64, storing data on the user's computer. Its free local mode allows up to 100,000 records per deployment. Production pricing is by custom quote, based on data volume, deployment, service requirements, and support.
Zingg
Zingg is open-source, warehouse-native master data management software for resolving entities across data silos and building unified views. It is intended for analytics engineers and data scientists integrating sources at scale, and runs on Linux in a self-hosted environment. Users train the system by labeling 40–50 matching pairs from their own data. Matching combines machine learning with deterministic rules that can use identifiers such as email, SSN, and passport ID. Listed language matching covers Chinese, Japanese, Thai, Hindi, German, French, and Greek without language-specific setup. The Community, Enterprise Lite, and Enterprise editions support millions of records. Enterprise editions can run incrementally against previously matched data, and Enterprise also supports real-time architecture. ZINGG_ID is a persistent identifier assigned to new entities that remains stable across model and configuration changes. Zingg can also run within Snowflake as a Snowflake Container using Snowpark. Community costs nothing and includes batch processing, probabilistic matching, and open-source support.