Also known as entity resolution, or record linkage, data deduplication is arguably the biggest challenge of all for data-driven enterprises.
Messy, inconsistent, duplicated and unlinked data can cause serious and costly problems for enterprises.
Data deduplication can improve the performance of data systems by reducing the amount of data that needs to be accessed and processed.
By eliminating duplicate data, deduplication can help to improve the accuracy and reliability of data, reducing the risk of errors and making it easier to manage and analyze the data.
Data deduplication can help to improve security by reducing the amount of data that needs to be backed up and stored, reducing the risk of data loss.
These are just a few examples of the benefits of data deduplication, but there are many, many more...
Siloed data tends to stay siloed and conventional technologies can't solve the problem.
Graph databases, data warehouses and search technologies are too slow and don't scale for entity resolution.
What you need is a high-perfomance entity resolution service that is designed for high volume, real-time data.
Consistent <150ms response times. No matter how complicated the data gets. Perfect for real-time use cases.
Designed for serverless technology, there is no limit to the amount of data that you can simultaneously process with Tilores.
Ingest data in real-time and search simultaneously. Your data is always up-to date and immediately accessible.
Fully customizable data scheme and matching rules. The only limit is your imagination with Tilores.
Track data provenance and delete data automatically based on rules. Data privacy compliance out-the-box.
Get improved flexibility, stronger security, recuded overheads and improved performance with our GraphQL API.
Configure and test your deduplication and linking rules in our intuitive UI.
How TiloRes Enabled a Consumer Credit Bureau to Scale and Provide Real-time Data