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If you want to stay ahead of the curve in your business, you'll have to take advantage of the opportunities around you by making informed decisions. With the emergence of data analytics tools in this digital age, it has become easier to accomplish that. Stream analytics tools monitor and analyze integration data in real-time. These tools allow users to analyze data transfer between applications, or through APIs. Users can analyze data being transferred amongst devices like the internet of things (IoT) endpoints, such as smart cars, machinery, or home appliances. This article features the top 10 best stream analytics tools to check out in 2022 but before we move ahead with our list let's explore what streaming data analytics means.
It is the processing of data in real-time or near real-time to predict future patterns. To put it simply, it allows you to query or analyze continuous data patterns while also responding to key events in a short amount of time (usually in milliseconds).
Apache Kafka is a distributed event store and stream-processing platform. It is an open-source system developed by the Apache Software Foundation written in Java and Scala. The project aims to provide a unified, high-throughput, low-latency platform for handling real-time data feeds. It is one of the best stream analytics tools you should try in 2022.
Apache Spark is an open-source unified analytics engine for large-scale data processing. Spark provides an interface for programming clusters with implicit data parallelism and fault tolerance. With support for batch and stream data processing, it employs machine learning-enabled data analytics modules. Plus, multiple options such as Python, R, Java, SQL, and Scala APIs allow you to work in your preferred developer environment.
Amazon Kinesis makes it easy to collect, process, and analyze real-time streaming data such as video, audio, application logs, website clickstreams, and IoT telemetry so that you can get timely insights and react quickly to new information. It is one of the best stream analytics tools you should try in 2022.
Google Cloud Dataflow is a unified stream and batch processing tool offering a serverless architecture. It is available as a fully-managed service and boasts of automated provisioning and management of processing resources. Dataflow features horizontal autoscaling of worker resources to maximize resource utilization and OSS community-driven innovation with Apache Beam SDK. Additional key features include flexible scheduling and pricing, ready-to-use AI patterns, and dynamic work rebalancing.
RapidMiner is another cloud-based software that enables you to build a complete end-to-end streaming data analytics platform. It's an open-source application and incorporates various features, like automation, which allows it to loop and repeat activities and perform in-database processes. Real-time scoring is also included, allowing you to use third-party applications to work with statistical methods. It is one of the best stream analytics tools you should try in 2022.
StreamSets DataOps Platform empowers your whole team, from highly skilled data engineers to visual ETL developers, to do powerful data engineering work. Only StreamSets makes it both simple to get started building pipelines quickly with intent-driven design and easy to extend to meet complex enterprise needs. Smart data pipelines address the full data engineering ecosystem, letting 1 data engineer enable 10 ETL developers and serve 100 analysts.
Oracle Stream Analytics lets users process and analyze large-scale real-time information by using sophisticated correlation patterns, enrichment, and machine learning. It also includes real-time actionable business insight on streaming data and automated action. Oracle Stream Analytics enables users to identify events of interest by executing queries against event streams in real-time. It allows for the creation of custom operational dashboards that provide real-time monitoring, transform streaming data, or raise alerts based on stream analysis. It is one of the best stream analytics tools you should try in 2022.
Memgraph is a real-time graph streaming platform that allows you to explore data locally and on a cloud platform. This streaming analytics tool empowers its users (big data engineers, analysts, or business users) to import data from various platforms and perform analysis without implementing custom solutions.
Lenses.io delivers a developer workspace for building & operating real-time applications on any Apache Kafka. By enabling teams to monitor, investigate, secure and deploy on their data platform, organizations can shift their focus to data-driven business outcomes and help engineers get their weekends back.
The effectiveness of StreamSQL for real-time information computation in big data is dependent on its simplification. StreamSQL's simplification makes it appropriate for non-developers as well. StreamSQL simplifies the applications development that ensures data stream deception, real-time conformance, monitoring, and network security. It is one of the best stream analytics tools you should try in 2022.
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