AWS Entity Resolution Breakthrough Using ECS Fargate & Aurora PostgreSQL Serverless
“Good, fast, cheap. Choose two.”
There are plenty of references to this dynamic “law,” if you will, applied to various domains e.g., project management, marketing. For so long, entity resolution has lived under this same law too — but no longer!
Team Senzing is elated to report a breakthrough: good, fast, and cheap entity resolution.
BEHOLD: Watch the video below to witness the deployment of a fully scalable AWS serverless stack from start to finish in 24 minutes of clock time. Then entity resolve 10M synthetic records in ~3 hours for under $100 in AWS compute. Use this exact fully-managed infrastructure to scale up to billions of records.
Developers can now deploy scalable entity resolution into applications with unprecedented accuracy, ease and cost:
Good: When comparing accuracy on real world data, Senzing proves to be more accurate in most cases. Use our Exploratory Data Analysis (EDA) audit tool on up to 100M records to see how our accuracy compares to other methods.
Fast: The estimated time includes the total amount of time to provision AWS, deploy Senzing, and process prepared data. Notably, Senzing does not require training or tuning — though in a minority of cases, config might need to be slightly tweaked. Note: Mapping/transforming each data source to Senzing JSON is not included in the time estimate.
Cheap: The Senzing quoted price is for a one-month production license (via Senzing). The AWS price is per run. If you’re interested in non-production pricing, Contact Us. For annual pricing for the real-time Senzing API, try our Pricing Calculator.
Wait! There’s more.
Get this: Senzing is a truly transactional, real-time, engine — when you add more data, whether batch or streaming, Senzing handles these new records incrementally (e.g., adding 10k more records to a 1B record database costs only a couple dollars on AWS serverless). Other entity resolution technologies require complete reloading to account for adds/changes/deletes e.g., requiring redundant A/B systems so one can be online while the other system re-boils the ocean (reloads). This is more time-consuming and expensive. Not true with Senzing.
More about Senzing’s game-changing features can be found in our Uniquely Senzing and Entity Resolution Capabilities to Consider white papers.
World’s First Serverless AWS Entity Resolution
Senzing, in our never-ending quest to be the most innovative artificial intelligence‐based (AI) entity resolution software company, has created another world’s first: Serverless AWS entity resolution capabilities for the cloud. Available immediately for Amazon Web Services (AWS), Senzing delivers substantial cost savings to AWS customers deploying entity resolution.
“Entity resolution software was expensive, people intensive and computationally demanding, until now,” said Jeff Jonas, Senzing CEO and founder. “Not only is Senzing slashing compute costs for AWS customers, but we’ve also virtually eliminated the need for expensive entity resolution experts to train or tune the system!”
Developers can set up a serverless Senzing API deployment in about 30 minutes using AWS resources such as AWS Elastic Container Service (ECS), AWS Simple Queue Service (SQS) and AWS Aurora serverless. Once deployed, ECS and Aurora serverless automatically scale up or down as needed based on the workload. To see how easy it is to set up and deploy serverless Senzing on AWS, watch the video blow, demonstrating the resolution of 10M entity records in under 3 hours for less than $100 in compute costs.
“You can’t get this level of entity resolution accuracy or price performance anywhere else,” Jonas continued. “Organizations with hundreds of millions or billions of records that deploy serverless Senzing on AWS will save hundreds of thousands or millions of dollars annually.”
About Senzing
Senzing is the first to deliver real‐time, artificial intelligence for entity resolution. Senzing software enables organizations of all sizes to gain highly accurate and valuable insights about who is who and who is related to whom in data. The Senzing application programming interfaces (APIs) and microservices make it easy for software and data engineers to quickly and affordably build scalable entity resolution into applications and data services. With Senzing, innovators in financial services, information services, healthcare, public sector and other industries can more effectively engage with customers, improve fraud detection, optimize investigative analysis, and increase accuracy for compliance mandates.