Data streaming fulfils the distinct needs of businesses. For example, better shopping processes, improved business operations, expansion, etc. To perform data streaming, you need dedicated tools and technologies. In today’s blog, we’ll talk about the top 9 real-time data streaming tools. Check them out and decide which ones suit you.
Top 9 Real-Time Data Streaming Tools – Overview, Features, And Everything
#1 Google Cloud DataFlow
Google Cloud DataFlow is among the most popular data streaming tools of all time. It allows users to filter ineffectual data, which might be causing delays in the streaming analytical process.
In other words, it improves the efficiency of the overall streaming process, making it seamless.
The tool uses Python 3 and Python SDK to support data streaming. In addition to Python, it also uses Apache Beam to clearly define the data pipelines. This ensures that data from various IoT sources are properly extracted, utilised, and analysed.
Key Features
• Rebalancing and auto-scaling of work
• Flexible price model
• Data processing can be done using scheduling plans
• Ready-to-use and real-time AI patterns
#2 Apache Kafka
Apache Kafka is another top and highly-demanded data-streaming software. It was developed in 2011 and has been a favourite of businesses ever since. The tool has the capacity to handle data in high values. Therefore, businesses with Apache Kafka can get an advantage over managing big data ingestions and message loads.
Working in the back end, Apache Kafka uses its advanced capabilities to effortlessly integrate third-party services. It’s designed in a way that its infrastructure promotes easy integration with various data streaming platforms. Moreover, it offers exceptional data analytic and processing services, benefiting businesses in the long run.
Key Features
• Highly reliable and efficient functioning
• Eliminated the need for multiple integrations
• Offers high data throughputs
• Supports various data-streaming ports like Spark
#3 Amazon Kinesis
Another wonderful real-time data streaming software on our list is Amazon Kinesis. It’s an exceptional tool that allows businesses to use SQL editor integrations and open-source Java libraries. Amazon Kinesis takes care of areas such as running applications, business scaling, etc.
In addition, it also helps in the reduction of complexities and expenses businesses might encounter during real-time data processing. Besides, Amazon Kinesis is flexible in nature. This further allows companies to conveniently analyse complex processes such as machine learning algorithms.
Key Features
• Doesn’t require infrastructure management
• Scalable and entirely managed
• Reduce the need for server management
• Highly flexible nature
#4 Azure Stream Analytics
Azure Stream Analytics is considered among the best real-time data streaming portals. It focuses on crucial end-to-end analytics. Therefore it can offer fast and better results in a limited time frame, using SQL, JavaScript, and C#. Moreover, it also has an underrated ability that you might like a lot, i.e., machine learning ability.
This allows businesses to quickly identify spikes, dips, and adverse trends in real-time data analytical processes. Besides, if you are looking for software to conveniently interpret data visualisation, Azure Stream is the ideal tool you’ll ever get. Let’s learn about some of its unique features.
Key Features
• Hybrid architecture for data stream processing
• Rapid scalability
• End-to-end analytics
• Enterprise level reliability
#5 Apache NIFI
Apache NIFI is among those notable names that are counted in the list of best data processing tools for big data. With features such as integrated data logistics, it offers convenience in processing data loads. Moreover, businesses can use this tool to put-in automation in data movement between multiple sources and destinations.
In addition, Apache NIFI also has capabilities for tracking down the data loads in real time. Talking about its working, it’s pretty similar to FedEx delivery services and UPS. Besides, this tool can also support distributed sources such as files, social feeds, videos, and so much more.
Key Features
• Data tracking of various types of sources
• Highly secure user interface
• High configuration abilities
• Web-based interface for easy usage
#6 Spark Streaming
Spark Streaming is another crucial entry in the list of real-time data streaming software. This tool has direct integration with Apache Spark, making it even better in terms of performance. Spark Streaming performs streaming processing using a micro-batch process.
Moreover, it also offers excellent support for historical and real-time stream data. Also, since Spark Streaming is open-source, it allows users to contribute to reimplementations with enhanced support for Scala, Python, and Java languages.
Key Features
• Easy-to-use interface
• Low latency and cost-effective solution
• Unified data batches
• Streamlines data streaming process
#7 IBM Stream Analytics
IBM Stream Analytics is a special data streaming software that offers an IDE i.e.
Integrated Development Environment. It supports Python, Scala, and Java languages. This software is highly underrated and deserves better recognition, just like other tools.
Besides, with more and more businesses implementing it, it will soon be at the top. Talking about its capabilities, it helps developers monitor and manage data conveniently.
Key Features
• Fast delivery of streams
• IoT analytics
• Voice data insights
#8 Lexalytics
Lexalytics is ideal for businesses that wish to better understand their customer experience through textual data. The tool collects data from various sources, such as tweets, posts, videos, etc., efficiently. After collection, the data undergoes an analysis process where multiple subprocesses are performed.
The software further offers features such as natural language processing and machine learning to determine insights into analytics. Businesses with Lexalytics can deploy it in hybrid, private and public cloud environments.
Key Features
• Robust NLP capabilities
• Easy integration into AI solutions
• Supports a wide range of languages
#9 Hevo
Hevo is an exceptionally designed, no-code, and fully automated data streaming platform. It’s used by organisations who want to leverage data effortlessly and fully. Hevo enables users to easily pull data from any source, no matter how complex the pipeline is.
The tool supports more than 150 ready-to-use integration across Streaming services, SDKs, cloud storage, SaaS applications, and databases. Around 1000 data-driven businesses spread across more than 40 countries have trusted Hevo for their real-time data analysis needs.
Key Features
• The onboarding process is smooth and straightforward
• More than 150 ready-to-use integrations
• Automated interface to save time
Final Words
If you are looking for data streaming tools, there are dozens of options available in the market. It might take you some time to shortlist the ideal ones for your business. We did the hard part and shortlisted the best real-time data streaming tools.
The above list contains all the most efficient data streaming tools that you can make a choice from. Try everything and then finalise the perfect ones for your business. Lastly, if you come across doubt in the above content, don’t mind sharing it in the comment section below.
