Data Streaming

Data Streaming with Witsdata

Witsdata helps to innovate, plan, and conserve your time. How? It’s quite simple, it’s all made possible by Data Streaming, an essential data management phenomenon that helps you streamline your operations and also guides you with identifying opportunities.

How Does Data Streaming Work?

Data Streaming is designed to harness the potential of your data that is being inducted in real-time. This means that if you are a franchised business that’s spread across the globe then for the first time, you will be able to organize your data, optimize it according to your preferences, and use it to speculate the future of your venture and what logistical strategies you would be adopting in the near future.

Key Features

The stream processing of data works around with real-time intelligence to figure out how data should be prioritized according to your industry’s model.

A franchised business would have an influx of data generated from thousands of different locations and with reference to hundreds of thousands of metrics. In other words, you will now be able to tap into the potential of your sales data which is narrowed down to the demographics and even gender or age of your customers.

Try Witsdata™ – Unlock the Potential of Your Data

Why Do You Need Data Streaming?

Data Streaming deals with complex operations and the management of data at an industrial scale, this is where we at Witsdata assist you to prioritize your data streams in order to regulate this heavy influx of data.

Witsdata specializes in Data Streaming services as we fuel smart solutions for your establishment to soar through the heights of success.

Connect with our team and we would be more than happy to guide you further with how our Data Streaming solutions work!

Broad support for sources, targets and platforms

Qlik Replicate (formerly Attunity Replicate) supports the broadest range of sources and targets, enabling you to load, ingest, migrate, distribute,
consolidate and synchronize data on-premise and across cloud or
hybrid environments. These include:
RDBMS: Oracle, SQL, DB2, MySQL, Sybase, PostgreSQL
Data warehouses: Exadata, Teradata, IBM Netezza, Vertica, Pivotal, MS SQL Data Warehouse
Cloud: AWS, Azure, Google Cloud
Hadoop: Apache, Cloudera, Hortonworks, MapR
Streaming platforms: Apache Kafka, Confluent
Enterprise applications: SAP
Legacy: IMS/DB, DB2 z/OS, RMS, VSAM
Please refer to the support matrix for a complete list of connectivity options.

Enterprise-wide monitoring and control

Design, execute and monitor thousands of integration tasks across
distributed data center and cloud environments, enabling you to scale easily and monitor data flow in real-time through KPIs and alerts.

Centralized management
Optimized performance & resource utilization
Open APIs for REST and .NET