Best Data Integration Tools for APERIO DataWise

Qlik Data Integration platform automates the process for providing reliable, accurate and trusted data sets for business analysis. Data engineers are able to quickly add new sources to ensure success at all stages of the data lake pipeline, from real-time data intake, refinement, provisioning and governance. This is a simple and universal solution to continuously ingest enterprise data into popular data lake in real-time. This model-driven approach allows you to quickly design, build, and manage data lakes in the cloud or on-premises. To securely share all your derived data sets, create a smart enterprise-scale database catalog.

Apache Kafka®, with Confluent, has an infinite retention. Be infrastructure-enabled, not infrastructure-restricted Legacy technologies require you to choose between being real-time or highly-scalable. Event streaming allows you to innovate and win by being both highly-scalable and real-time. Ever wonder how your rideshare app analyses massive amounts of data from multiple sources in order to calculate real-time ETA. Wondering how your credit card company analyzes credit card transactions from all over the world and sends fraud notifications in real time? Event streaming is the answer. Microservices are the future. A persistent bridge to the cloud can enable your hybrid strategy. Break down silos to demonstrate compliance. Gain real-time, persistent event transport. There are many other options.

Actian DataConnect, a versatile hybrid integration tool, empowers anyone to connect anything, anywhere and anytime. DataConnect allows for quick deployment, management, and design across hybrid, on-premise, and cloud environments. DataConnect's emphasis on reuse, adaptability, and self-service integration makes it easy to onboard and deliver rapid return on investment. Actian's patent-pending UniversalConnect™, an intelligent agent framework, allows you to connect to any data source, format, location and protocol. An intuitive and codeless user interface makes it easy to create, configure, manage, and repair integrations in real time. UniversalConnect™, a patented technology, allows you to connect quickly to any data source, format or location, as well as any cloud or SaaS applications. You can deploy your integrations wherever you want, on-premise, in cloud, hybrid environment, VPC, BYOL, embedded in SaaS apps.

Hadoop has been an integral part of the data management landscape since 2010. The majority of organizations that have adopted Hadoop over the past decade to build their data lake infrastructure. Although Hadoop was a cost-effective method to store petabytes in a distributed environment, there were many complexities. The systems required IT skills that were specialized and the on-premises environments did not allow for the ability to scale up or down as the usage requirements changed. Cloud computing addresses the complexity and flexibility issues associated with Hadoop environments on-premises. Many companies have chosen to automate cloud data migration using WANdisco to reduce the risks and cost associated with modernizing their data. LiveData Migrator can be used as a self-service tool and does not require any WANdisco services or expertise.

The core technology that enables modern data integration and data management. Connect disparate, structured and unstructured data sources quickly. Catalog your entire data ecosystem. The data is kept in the source and can be accessed whenever needed. Adapt data models to the consumer's needs, even if they come from multiple sources. Your back-end technologies can be hidden from end users. You can secure the virtual model and use it to consume standard SQL and other formats such as SOAP, REST, SOAP, and OData. Access to all types data is easy. Data integration and data modeling capabilities are available. Active Data Catalog and self service capabilities for data and metadata discovery and preparation. Full data security and governance capabilities. Data queries executed quickly and intelligently. Real-time data delivery in all formats. Data marketplaces can be created. Data-driven strategies can be made easier by separating business applications and data systems.