Stream analytics at scale
An advanced real-time data processing framework, crafted from the best of breed big data stream processing tools.
Get StartedIn 2025 more than 30% of data will be real time data!
The revolution of connected object paves the demand for powerful stream processing technologies. Logisland is one of them: it efficiently captures, analyses, compresses and stores huge volumes of very tiny to very large data.
Your one stop shop framework for all streaming jobs
Logisland is the only technology that offers a unified approach to stream analytics with just simple changes in configurations to select different message buses or distributed engines. A guarantee of independence and stability in a fast changing technological world. Learn more
Plugins for major stream analysis use cases
You all love Google for providing Web Analytics for your Web sites. With Logisland though, in parallel, you can route the same click streams to your own analytics. A bunch of plugins and tools will give you access to your streams and you will be able to link them to your back office for better recommandations, advertising or simply a greater understanding of your business and customers (vision 360 degree).
IoT events are the fastest growing data sets. Many industries find incredible use cases using sensors and actuators. Logisland provides tools for advanced Analytics of I(I)oT data, including impressive data compaction for storage in the major time series databases. Logisland has pluggins for the main industry 4.0 use cases : smart alerting, prediction and trends detection.
Best of Breed Libraries and Standards
Logisland brings a cohesive, fun to use full-stack framework by leveraging best of breed libraries you love and use wired on a standard backbone. Learn more.
High Performance by Design
Logisland is made of high performance core layers, think Spark on Kafka. Everything is done to simplify stream application operation at scale Learn more.
Configuration First
Logisland helps you to boostrap your application quickly. No code required for the most part of streaming operations Learn more.
engine:
component: KafkaEngine
configuration:
app.name: GettingStarted
master: local[2]
Datastore abstraction
Switch from any NoSQL backend easily. (You can go to elasticsearch, SolR, Mongo, Redis) Learn more.
Unifies distributed platforms deployment
Combine Mesos, Yarn, Kubernetes scheduling Learn more.
Highly extensible
Component driven framework, you can integrate whatever legacy code or new processors Learn more.
Feedback and Help
You can contact the Logisland project team using:
- Chat using Zulip
- The logisland-dev Google Groups
Your help is more than welcome! Don’t hesitate to join the crowd.
Join the Logisland Community
Check out our Github for details on reporting issues and the process for submitting pull requests.
Every contribution is valuable. It can be a bug report, an example application, a feature request, a fix in the documentation or just feedback.
