Complex Event Processing Tools
Event stream processing software (also called complex event processing software or CEP tools) enables users to store, manage, and analyze continuous data of events in real-time. +Show More
| Products | Position | Customer satisfaction | |||
|---|---|---|---|---|---|
Confluent |
Leader
|
Satisfactory
|
|
||
|
Cloud-native service for data in motion built by the original creators of Apache Kafka® Today’s consumers have the world at their fingertips and hold an unforgiving expectation for end-to-end real-time brand experiences. Data in motion is the underlying, fundamental ingredient to any truly connected customer experience. It provides a continuous supply of real- time event streams coupled with real-time stream processing to power the data-driven backend operations and rich front-end experiences necessary for any business to succeed within today’s competitive, consumer-driven markets. Set your data in motion while avoiding the headaches of infrastructure management and focus on what matters most: your business. Built by the original creators of Apache Kafka, Confluent Cloud is a fully managed, cloud-native service for connecting and processing all of your real-time data, everywhere it’s needed.
Basis for EvaluationWe made these evaluations based on the following parameters; Customer satisfaction
Average rating
Market presence
Number of case studies
30-40 case studies
Company's number of employees
3k-4k employees
Company's social media followers
100k-1m followers
Total funding
$250-500m
# of funding rounds
8
Latest funding date
June 10, 2021
Company
Type of company
public
Founding year
2014
|
|||||
Apache Kafka |
Leader
|
Satisfactory
|
|
||
Basis for EvaluationWe made these evaluations based on the following parameters; Customer satisfaction
Average rating
Market presence
Company's number of employees
2k-3k employees
Company's social media followers
100k-1m followers
|
|||||
Aiven for Apache Kafka |
Leader
|
Satisfactory
|
|
||
|
Aiven for Apache Kafka® is a fully managed distributed event streaming service, that can be deployed in the cloud of your choice. Aiven for Apache Kafka is ideal for event-driven applications, near-real-time data transfer and data pipelines, streaming analytics, and any use case that requires moving huge amounts of real-time data between applications and systems. With Aiven for Apache Kafka you can set up fully managed Kafka clusters in less than 10 minutes — using the Aiven web console or programmatically via Aiven’s API, CLI, Terraform provider or Kubernetes operator. You can easily connect it to your existing tech stack with a fully managed Apache Kafka Connect service with over 30+ connectors. Monitoring your clusters with logs and metrics is also available out of the box via multiple service integrations. Get access to a complete open source ecosystem of streaming technologies and tools around Apache Kafka to fully manage, and operate a real time data infrastructure at scale using: Aiven for Apache Kafka: the core event streaming framework allowing you to transport data within your organization Aiven for Apache Kafka Connect: a fully managed, fully open source, distributed service enabling you to integrate your existing data sources and sinks seamlessly with Aiven for Apache Kafka. Aiven for Apache Kafka MirrorMaker2: a fully managed, fully open source distributed data replication service for cluster to cluster data replication, disaster recovery and geo proximity across multiple regions. Karapace®: a fully open source Kafka Schema Registry that applications can access to serialize and deserialize messages with popular formats such as AVRO, Protobuf and JSON. Aiven for Apache Flink®: a fully managed, fully open source streaming SQL engine for stateful stream processing over your data streams. Klaw: an open source data governance tool that helps enterprises exercise Apache Kafka® topic and schema governance. Aiven is ISO / IEC 27001: 2013, SOC 2, HIPAA, GDPR, and CCPA compliant. Check our pricing and try our free 30-day trial at https://aiven.io/kafka.
Basis for EvaluationWe made these evaluations based on the following parameters; Customer satisfaction
Average rating
Market presence
Company's social media followers
20k-30k followers
|
|||||
Amazon Kinesis |
Leader
|
Satisfactory
|
|
||
|
Amazon Kinesis Data Streams is a massively scalable, durable, and low-cost streaming data service. Kinesis Data Streams can continuously capture gigabytes of data per second from hundreds of thousands of sources, such as website clickstreams, database event streams, financial transactions, social media feeds, IT logs, and location-tracking events. The collected data is available in milliseconds to allow real-time analytics use cases, such as real-time dashboards, real-time anomaly detection, dynamic pricing. Customers run more than two million unique streams and process tens of PB of data per day with Amazon Kinesis Data Streams.
Basis for EvaluationWe made these evaluations based on the following parameters; Customer satisfaction
Average rating
Market presence
Company's number of employees
100k-1m employees
Company's social media followers
10m-20m followers
Company
Type of company
private
Founding year
1996
|
|||||
InRule |
Leader
|
Satisfactory
|
|
||
|
InRule's Decision Platform helps IT and business automate decision logic - without code - for increased productivity, revenue and customer service.
Basis for EvaluationWe made these evaluations based on the following parameters; Customer satisfaction
Average rating
Market presence
Number of case studies
30-40 case studies
Company's number of employees
50-100 employees
Company's social media followers
10k-20k followers
# of funding rounds
3
Latest funding date
October 13, 2022
Company
Type of company
private
Founding year
2002
|
|||||
StreamSets |
Challenger
|
Satisfactory
|
|
||
|
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. Smart pipelines also eliminate 90% of the time you spend on break-fix and maintenance by being resilient to data drift and offering portability to new data platforms without rewrites. With StreamSets, deliver continuous data via DataOps, despite constant data drift.
Basis for EvaluationWe made these evaluations based on the following parameters; Customer satisfaction
Average rating
Market presence
Number of case studies
10-20 case studies
Company's number of employees
100-200 employees
Company's social media followers
10k-20k followers
Total funding
$50-100m
# of funding rounds
5
Latest funding date
April 22, 2020
Last funding amount
$5-10m
Company
Type of company
private
Founding year
2014
|
|||||
Spark Streaming |
Challenger
|
Satisfactory
|
|
||
|
Spark Streaming brings Apache Spark's language-integrated API to stream processing, letting you write streaming jobs the same way you write batch jobs. It supports Java, Scala and Python. Spark Streaming recovers both lost work and operator state (e.g. sliding windows) out of the box, without any extra code on your part.
Basis for EvaluationWe made these evaluations based on the following parameters; Customer satisfaction
Average rating
Market presence
Company's number of employees
2k-3k employees
Company's social media followers
100k-1m followers
|
|||||
IBM Event Streams |
Challenger
|
Low
|
|
||
Basis for EvaluationWe made these evaluations based on the following parameters; Customer satisfaction
Average rating
Market presence
Company's number of employees
100k-1m employees
Company's social media followers
10m-20m followers
|
|||||
Lenses |
Challenger
|
Satisfactory
|
|
||
|
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.
Basis for EvaluationWe made these evaluations based on the following parameters; Customer satisfaction
Average rating
Market presence
Number of case studies
5-10 case studies
Company's social media followers
3k-4k followers
Total funding
$5-10m
# of funding rounds
2
Latest funding date
September 16, 2019
Last funding amount
$5-10m
Company
Type of company
private
Founding year
2016
|
|||||
Oracle Cloud Infrastructure Streaming |
Niche Player
|
Satisfactory
|
|
||
|
The Oracle Cloud Infrastructure Streaming service provides a fully managed, scalable, and durable solution for ingesting and consuming high-volume data streams in real-time. Use Streaming for any use case in which data is produced and processed continually and sequentially in a publish-subscribe messaging model.
Basis for EvaluationWe made these evaluations based on the following parameters; Customer satisfaction
Average rating
Market presence
Company's number of employees
100k-1m employees
Company's social media followers
9m-10m followers
|
|||||
“-”: AIMultiple team has not yet verified that vendor provides the specified feature. AIMultiple team focuses on feature verification for top 10 vendors.
Sources
AIMultiple uses these data sources for ranking solutions and awarding badges in complex event processing tools:
Complex Event Processing Leaders
According to the weighted combination of 4 metrics
What are complex event processing
customer satisfaction leaders?
Taking into account the latest metrics outlined below, these are the current complex event processing customer satisfaction leaders:
Which complex event processing solution provides the most customer satisfaction?
AIMultiple uses product and service reviews from multiple review platforms in determining customer satisfaction.
While deciding a product's level of customer satisfaction, AIMultiple takes into account its number of reviews, how reviewers rate it and the recency of reviews.
- Number of reviews is important because it is easier to get a small number of high ratings than a high number of them.
- Recency is important as products are always evolving.
- Reviews older than 5 years are not taken into consideration
- older than 12 months have reduced impact in average ratings in line with their date of publishing.
What are complex event processing
market leaders?
Taking into account the latest metrics outlined below, these are the current complex event processing market leaders:
Which one has collected the most reviews?
AIMultiple uses multiple datapoints in identifying market leaders:
- Product line revenue (when available)
- Number of reviews
- Number of case studies
- Number and experience of employees
- Social media presence and engagement
What are the most mature complex event processing tools?
Which one has the most employees?
Which complex event processing companies have the most employees?
287 employees work for a typical company in this solution category which is 264 more than the number of employees for a typical company in the average solution category.
In most cases, companies need at least 10 employees to serve other businesses with a proven tech product or service. 20 companies with >10 employees are offering complex event processing tools. Top 3 products are developed by companies with a total of 600k employees. The largest company in this domain is IBM with more than 300,000 employees. IBM provides the complex event processing solution: IBM Event Streams
Insights
What are the most common words describing complex event processing tools?
This data is collected from customer reviews for all complex event processing companies. The most positive word describing complex event processing tools is “Easy to use” that is used in 7% of the reviews. The most negative one is “Difficult” with which is used in 3% of all the complex event processing reviews.
What is the average customer size?
According to customer reviews, most common company size for complex event processing customers is 1,001+ employees. Customers with 1,001+ employees make up 39% of complex event processing customers. For an average Analytics solution, customers with 1,001+ employees make up 33% of total customers.
Customer Evaluation
These scores are the average scores collected from customer reviews for all complex event processing tools. Complex Event Processing Tools are most positively evaluated in terms of "Overall" but falls behind in "Value For Money".
Where are complex event processing vendors' HQs located?
Trends
What is the level of interest in complex event processing tools?
This category was searched on average for 133 times per month on search engines in 2024. This number has decreased to 0 in 2025. If we compare with other analytics solutions, a typical solution was searched 155 times in 2024 and this decreased to 0 in 2025.