This is the big-data solution we had been waiting for.
Every bank will want this.
This is the holy grail of data ingestion.
I am a happy camper right now.
BKP has finally made knowledge capture and retention affordable.
- Current version: 3.3.0
- Release date: 10 December, 2018
- Try this release: Click here
The Data Unifier (or simply 'Unifier') is a hyper-advanced data unification tool. Originally created for the U.S. national intelligence, Data Unifier is like a 'universal translator' for data. It can fully convert data from any data-model, database, or data-format to any other. This allows any system to talk to any other system.
The Data Unifier can also be used to standardize numerous sources into one central data-model, achieving data-unification across all sources.
The Unifier can be used seamlessly in various configurations, for various purposes, and it is fast and easy to use (link).
Data Unifier's 3
Universal Data Translator
Best of breed
The Data Unifier losslessly transforms data from any data model, database, or format to another.
As the Data Unifier transforms data, inbuilt data quality tools track and improve data quality.
Unifier's inbuilt rules engine and Artificial Intelligence implement business and compliance processes.
Data Unifier's 4
Data Unifier can be used to ingest / ETL data into SQL and NoSQL systems. The Unifier is better than traditional ETL approaches because it can work with all types of data, is ecosystem agnostic, and is agile to use.
Data Unifier can fully unify data without replicating a single byte. The Unifier’s on-demand, query-time unification allows data to remain where it is, and still be fully integrated with other systems. The Unifier reaches all systems under a single powerful query and pulls only the data that answers that query. The returning data is transformed into the user’s view in real-time. This feature enables the creation of multiple customized views on the same data without replication. Each one of these views is always current without needing any synchronization.
Data Unifier can be deployed in real-time streaming architectures such as ones using Apache Spark or Kafka. The latest data is immediately available in the common view for query and analysis.
Different Unifier configurations can be used in the same architecture to create a versatile system that accommodates constraints gracefully.
Data Unifier's main
Easy and Powerful
Both technical and non-technical SMEs can use the Unifier with ease. Originally developed for national intelligence, the Unifier scales up to big, complex, and varied data. Its advanced mappings cover difficult corner cases without information loss.
The Unifier can unify data changing underlying databases and data models, and even without replication. Setup, configuration, and operating costs are lower than most alternatives. Deployment is incremental and agile.
Native support for big data, NoSQL, machine learning, NLP, and modern data such as social media, IOT, binary, etc. Inbuilt Artificial Intelligence and Machine Learning tools.
Versatile operational modes allow using the Unifier in various settings. For example ETL (ingest time), streaming (real-time), and data lake unification (query time).
Flexible for real-world use
Easily add new sources, new rules, plug-and-play data models, and dynamically update the system. Software ecosystem and hardware agnostic.
Who is using the Data Unifier?
We bet that you are intimately familiar with some of our clients and projects. We don't publish our client list online, please contact us to discuss more.