10+ Best Event Stream Processing Softwares 2023
Event stream processing software allows for the processing of data on the fly, enabling users to properly store, manage, and analyze their streaming data. In contrast to batch processing which focuses on historical data, stream processing allows for the processing of data in real time.
| ||Hazelcast Jet||4.3||Kelly Herrell||Custom||2010||$37.6 M||10000+||San Mateo||1895+ Reviews||200000+|
| ||Crosser||4.3||Martin Thunman||Custom||2016||$29.7 M||79+||Stockholm||1698+ Reviews||N/A|
| ||Striim||4.4||Ali Kutay||Custom||2012||$20 M||107+||Palo Alto||1698+ Reviews||N/A|
| ||SAS Event Stream Processing||4.4||Jim Goodnight||$8000||1976||$3.1 B||13946+||Cary||1698+ Reviews||83000+|
| ||Lenses||4.5||Antonios Chalkiopoulos||$49||2016||$99 M||68+||London||1874+ Reviews||N/A|
| ||IBM Cloud Pak for Integration||4.5||Arvind Krishna||$9||1911||$79.1 M||352600+||New York||1784+ Reviews||650+|
| ||Google Cloud Dataflow||4.6||Thomas Kurian||Custom||2008||$10 B||10001+||Mountain View||1987+ Reviews||900000+|
| ||Spark Streaming||4.6||Jayant Shekhar||Custom||2009||$1 B||10000+||Berkeley||1784+ Reviews||N/A|
| ||Aiven for Apache Kafka||4.6||Oskari Saarenmaa||$200||2016||$12 M||92+||Helsinki||1784+ Reviews||50+|
| ||Confluent||4.7||Jay Kreps||Custom||2014||$280 M||1000+||Mountain View||1698+ Reviews||600+|
Hazelcast Jet is a large-scale event stream processing solution. Hazelcast Jet comes with all of the tools users need to create a real-time stream processing application. It's a data-querying framework built on top of the in-memory storage system, which allows the process to save its results. It provides various features such as resiliency to failures, advanced event processing, container and cloud-ready, and many more. As of now, 200,000 companies rely on Hazelcast Jet. Discover more about Hazelcast Jet by scrolling down.
Crosser is an event stream processing solution that analyzes, integrates, and automates streaming data. It is an all-in-one platform for all real-time needs. It develops streaming analytics and integration software for on-premise and cloud-based edges. Crosser has been in the industry for five years, and since then, it continues to provide high-quality services to its users. See more information about Crosser, such as best alternatives, pricing, key employee, and more, by reading the details below.
Striim is an event stream processing solution that allows for real-time querying, processing, and analytics. It has built-in pipeline monitoring and validation capabilities for tracing and validating streaming data ingestion, processing, and delivery. Striim has been in the industry for nine years, and since then, it continues to dominate the world. See more information about Striim, such as best alternatives, pricing, key employees, and more, by reading the details below.
SAS Event Stream Processing
SAS Event Stream Processing is an event stream processing solution that allows users to extract insights from events and make real-time intelligent decisions using streaming analytics and machine learning. SAS Event Processing has an intuitive visual interface to test, define, and refine projects. It allows users to spot red flags and seize opportunities amid a deluge of fast-moving data. As of now, 83,000 companies use SAS Event Processing. Discover more about SAS Event Processing, such as best alternatives, pricing, and more, by scrolling down.
Lenses is a company that provides event stream processing software since 2016. Lenses' team houses over a hundred developers, designers, data engineers, data analysts, writers, open-source contributors, and tinkerers. All of them share a common goal of mitigating data complexity for better, faster, accurate results. Lenses is rapidly growing as a SaaS company and their clientele could increase in the next few years.
IBM Cloud Pak for Integration
IBM Cloud Pak for Integration was developed by IBM a few years back. IBM is among the largest computer companies with operations across 170 countries and a headquarters in Armonk, New York. With Cloud Pak, IBM aided a lot of companies in embracing digital transformation and experiencing smooth-sailing software integrations.
Google Cloud Dataflow
Google is without a doubt one of the biggest tech companies worldwide. And Google Cloud Dataflow is their flagship in the stream processing software market. Dataflow was launched in 2008 and has been helping its users stream and process data seamlessly. It's among the most trusted stream processing platforms. And every year, Google is pushing for improvements to optimize the service quality Dataflow provides.
Spark Streaming is a streaming processing platform developed by Apache Spark. Apache Spark is a leading provider of data streaming solutions for over a decade. With Spark Streaming, Apache Spark was able to expand their services and reach in the SaaS market. They've helped countless users build modern infrastructures for data streaming, and they're slated to continue doing so for many years.
Aiven for Apache Kafka
Aiven is a leading provider of software infrastructure solutions in the SaaS industry. Aiven was established in 2016, and in less than six years, it already has a global reach in the SaaS market, with offices in Helsinki, Berlin, Boston, and Sydney. Aiven's goal is to help organizations build infrastructures fit for the modern business world.
Confluent is a software company co-founded by Jay Kreps and Jun Rao in Silicon Valley. Their goal is to revolutionize and streamline the way companies capture real-time data for a continuous flow of fresh insights. They understand the importance of real-time data in the modern business world. Everything is in constant motion. So, if a company can't gather fresh insights, it can't keep up in the market. And that's one thing Confluent aims to avoid.