The right streaming architecture enables more efficient and effective data streaming. What is data streaming? Data streaming is the process of manipulating vast amounts of real-time data streams from hundreds or thousands of sources and extracting information that can provide real-time analytics that enable organizations to respond in real-time to changing conditions.
With superior and sophisticated streaming architectures, enterprises can more easily ingest and process large amounts of data while simplifying management of data stream processing. For a growing number of organizations, Apache Kafka provides a high-scale, low-latency platform that serves as a critical part of streaming architecture. Kafka offers higher throughput, enabling more than 100,000 transactions per second. It scales easily with zero downtime, is extremely reliable and provides unparalleled performance.
But managing Kafka as an aspect of streaming architecture can add significant burden to IT teams. Data streaming into Kafka may require significant custom coding, and the impact of real-time data ingestion through Kafka can adversely impact the performance of source systems.
Qlik provides the answer to the challenges of managing streaming architecture with Apache Kafka. By enabling efficient, real-time and scalable data ingest from a wide variety of source database systems, Qlik replication software supports real-time analytics with live data from many sources at scale.
Qlik Replicate® minimizes the impact on source database systems by using log-based change data capture (CDC) technology and a unique zero-footprint architecture that eliminates the need to install agents on source systems. Real-time data capture enables Qlik to feed live database changes to Kafka message brokers with low latency. And Qlik eliminates the need for manual coding by providing administrators with an intuitive graphical user interface that enables fast and easy configuration of data feed and management in the streaming architecture.
Qlik provides a single platform that supports many types data of sources – from data warehouses and major RDBMS, Hadoop distributions, cloud databases, streaming platforms, applications like SAP and legacy mainframe systems.
Qlik also provides a streaming architecture and software that scales to ingest data from up to thousands of databases, while providing centralized monitoring and management capabilities that give administrators clear visibility into ingestion and replication tasks.
In addition to real-time streaming ingest for Kafka, Qlik makes it easier to replicate, synchronize, distribute, consolidate and ingest data for a wide variety of sources on premises and in the cloud.