Senzing

What do you like best about the product?

We had built our own entity resolution module and used it successfully at clients with over 100M records. But we wanted faster performance and better matching intelligence. We got both with Senzing. And their SDK made it easy to integrate into our platform.

What do you dislike about the product?

The initial integration of Senzing was quick and painless. But there are other capabilities that you have to dig a bit deeper to understand. I think they should publish more detailed examples (documents or videos) for training on the advanced features, such as their incremental learning. This saves us so much time, and improves matching, but we didn't know how it worked initially.

What problems is the product solving and how is that benefiting you?

Our platform creates a hypergraph from conventional data sources. Senzing then auto-populates our graph with 'possibly related' people or companies. We benefit from their core capability, matching of entities, but we also get interesting 'unusual' links between parties. A shared phone number? Shared address? Why? This improves our fraud detection and customer management capabilities. And with matching we don't just get a score, we get the reasons for the proposed match. This helps our customers confirm the match. We prepare our customer's data for use by their preferred AI agents. If we don't have a clear, deduplicated set of customers then the results from AI are suboptimal. We are bringing the data together, Senzing then ensures it is clean and ready for AI.

What do you like best about the product?

I really appreciate Senzing's matching accuracy and its principles-based approach. The data ingest speed is impressive and saves us a lot of money. Their support team is also amazing—they're very responsive, and we often get answers back within the day, even to technical questions. I feel valued and supported as their partner. Additionally, the ability to transliterate and resolve in one process is a standout feature for me.

What do you dislike about the product?

Nothing.

What problems is the product solving and how is that benefiting you?

Senzing lets us accurately bring together large disparate datasets, resolving them to one entity, and match entities to watchlists. Its speed and accuracy save money, and the supportive company ensures quick issue resolution.

What do you like best about the product?

I love how capable Senzing is at handling huge data scales, and it's impressive how it runs in real time while being sequence agnostic. The feature scoring for different feature types is super useful too, and having GNR baked in, along with the ability to handle non-Latin character scripts, is invaluable. I also appreciate its handling of off-by-one and transcription errors, and the fact that it's all native is a huge plus. Integrating Senzing into our core platform, DarkSkreen, was the easiest compared to other products we've tried, which makes it perfect for us.

What do you dislike about the product?

I think address matching could be better. I understand improvements are under way, though.

What problems is the product solving and how is that benefiting you?

I use Senzing to consolidate disparate data sets into a single database, enabling real-time search and retrieval. It's invaluable for entity search, candidate generation, and maintaining up-to-date data streams for screening and intelligence purposes.

What do you like best about the product?

Lightweight and extremely powerful entity resolution with a high degree of accuracy. Performs at scale and incorporates decades of ER best practices.

What do you dislike about the product?

Requires a good degree of knowledge of entity resolution terms and concepts to get the most benefit.

What problems is the product solving and how is that benefiting you?

Managing identity for both known and unknown relationships. Supports our core registries, know your customer, and relationships.

What do you like best about the product?

Senzing was quick and easy to install and get up and running. What surprised our team most was how quickly it processed data and returned results. In fact, we found ourselves double-checking the logs to make sure it had actually run because it was that fast.
I had previously built my own entity resolution model, so I know firsthand how much ongoing maintenance is required to keep one performing at its best. When you compare that effort and cost with the price of Senzing, investing in their solution makes far more sense than maintaining your own.
Another major advantage is how easily it integrates with virtually any data source and platform, which significantly speeds up the onboarding process. I also appreciate the flexibility to build your own interface and tailor the solution to your needs.
The company continues to add valuable features, such as its MCP server, which allows you to use the AI model of your choice. You also have the flexibility to implement the security model that best fits your organization's requirements.
Overall, Senzing delivers excellent performance while maintaining the enterprise-grade flexibility, customization, and security that organizations need.

What do you dislike about the product?

I haven't come across anything major - their support is top notch so whenever I have a product enhancement idea, they actually take the time to discuss it and upgrade the product.

What problems is the product solving and how is that benefiting you?

Everything from fraud to customer 360. The software figures out who is who so there's a wide application for its use.

What do you like best about the product?

Best in class for entity resolution. MCP works well and integrated easily to my whole system.

What do you dislike about the product?

Not much downside to mention. It just works.

What problems is the product solving and how is that benefiting you?

I have multiple contact lists across numerous systems, and I want to dedupe and create a consolidated list. Additionally, I want to work with colleagues across my organization who have some very large lists, some that stream updates in real time, which need to be cross-referenced against public lists.

What do you like best about the product?

Using Senzing directly in Kiro was an awesome experience. I'm already working in there daily and being able to run this using natural language, in my existing workspace, made it so convenient. Super powerful tool and great for my use case.

What do you dislike about the product?

I don't have any negatives to say about Senzing - had a great experience.

What problems is the product solving and how is that benefiting you?

Entity resolution and mapping big data sets together.

What do you like best about the product?

As a developer, it's quite unique to work with a tool, software, or other technical component that "just works" out of the box. Very clean and understandable integration capabilities, impressive performance, and great support for the tool.

What do you dislike about the product?

Not much to touch on here. Compute requirements tend to be on the higher side, but performance of Senzing makes this a reasonable requirement.

What problems is the product solving and how is that benefiting you?

Entity resolution is a key factor to understanding and enriching disparate datasets with explicit semantic meaning, which is quite a common business problem in my area. Senzing's integrations and performance are key in realizing this, and quite approachable at that!

What do you like best about the product?

As an Identity Intelligence provider, our objective was to identify an entity resolution solution that offered explainability without the necessity for complex rule configurations within our cloud environment. Senzing’s entity resolution effectively meets these requirements through its sophisticated and developer-centric APIs. They have proven to be exceptional partners, assisting us in addressing complex inquiries, facilitating the ingestion of millions of records, and delivering comprehensive Identity Intelligence and explainability for all our organization’s use cases.

What do you dislike about the product?

A notable learning curve exists, particularly concerning the nuances of matching logic. However, we have successfully navigated this through a productive partnership with the Senzing team.

What problems is the product solving and how is that benefiting you?

Entity resolution at scale; Explainability; Ability to run in Enterprise Cloud

What do you like best about the product?

We have used Senzing as the entity resolution engine for a large-scale public sector data programme. Our client has citizen datasets scattered across more than 15 departments, and Senzing has helped us link records across those departments. Some of the challenges we have faced include name variations, date-of-birth typos, and incorrect identifiers, and Senzing has helped us overcome these challenges to build a 360 view of the citizens along with identifying possible data quality issues.

What do you dislike about the product?

Not much to add. There is a small learning curve in beginning when preparing the dataset for entity resolution but Senzing support team is very helpful and always available to answer any questions (very quick to respond). Supporting documentation is also available for beginners.

What problems is the product solving and how is that benefiting you?

Senzing helped us identify duplicates across our source systems, and it also uncovered potential data quality issues and possible fraud.

It performs really well, even with the complexity of our matching requirements.

We also used the Senzing Search API to build a custom person-lookup process tailored to our needs.