spring-cloud-dataflow VS Siddhi

Compare spring-cloud-dataflow vs Siddhi and see what are their differences.

spring-cloud-dataflow

A microservices-based Streaming and Batch data processing in Cloud Foundry and Kubernetes (by spring-cloud)
microservices-architecture Orchestration Stream Processing batch-processing predictive-analytics cloud-native datapipelines
Source Code
dataflow.spring.io
Suggest alternative
Edit details

Siddhi

Stream Processing and Complex Event Processing Engine (by siddhi-io)
Projects Machine Learning streaming-data-processing Cep Stream Processing complex-event-processing online-learning cloud-native Cloud Library Cncf
Source Code
siddhi.io
Suggest alternative
Edit details
WorkOS
Our great sponsors
  • WorkOS - The modern identity platform for B2B SaaS
  • InfluxDB - Power Real-Time Data Analytics at Scale
  • SaaSHub - Software Alternatives and Reviews
Our great sponsors
spring-cloud-dataflow Siddhi
1 1
1,070 1,499
1.1% 0.7%
9.6 6.7
2 days ago about 2 months ago
Java Java
Apache License 2.0 Apache License 2.0
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

spring-cloud-dataflow

Posts with mentions or reviews of spring-cloud-dataflow. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-08-13.

Siddhi

Posts with mentions or reviews of Siddhi. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-03-13.
  • Seeking Feedback on Siddhi
    3 projects | /r/dataengineering | 13 Mar 2023
    Hi, I'm building a realtime analysis solution for our domain oriented microservice backend. All domain emit events in kafka. I'm looking for a solution to ingest data in an OLAP database based on processing those events (enrichment, filtering etc.). I found https://siddhi.io/ which looks promising. Since the last release (2019) the product is now part of WSo2 solution. I'm also looking at https://www.benthos.dev/. I'm more interested in a declarative solution than code.

What are some alternatives?

When comparing spring-cloud-dataflow and Siddhi you can also consider the following projects:

rewrite - Automated mass refactoring of source code.

Flowable (V6) - A compact and highly efficient workflow and Business Process Management (BPM) platform for developers, system admins and business users.

sechub - SecHub provides a central API to test software with different security tools.

Tribuo - Tribuo - A Java machine learning library

easy-batch - The simple, stupid batch framework for Java

Synapses - A group of neural-network libraries for functional and mainstream languages

gradle-lint-plugin - A pluggable and configurable linter tool for identifying and reporting on patterns of misuse or deprecations in Gradle scripts.

oj! Algorithms - oj! Algorithms

Hazelcast Jet - Distributed Stream and Batch Processing

m2cgen - Transform ML models into a native code (Java, C, Python, Go, JavaScript, Visual Basic, C#, R, PowerShell, PHP, Dart, Haskell, Ruby, F#, Rust) with zero dependencies

Phenesthe - 'Phenesthe' (orig. φαίνεσθαι) is a system for the representation and processing of instantaneous and durative temporal phenomena.

Quarkus - Quarkus: Supersonic Subatomic Java.

spring-cloud-dataflow vs rewrite Siddhi vs Flowable (V6) spring-cloud-dataflow vs sechub Siddhi vs Tribuo spring-cloud-dataflow vs easy-batch Siddhi vs Synapses spring-cloud-dataflow vs gradle-lint-plugin Siddhi vs oj! Algorithms spring-cloud-dataflow vs Hazelcast Jet Siddhi vs m2cgen Siddhi vs Phenesthe Siddhi vs Quarkus