Rakam
Rakam is an open-source analytics platform designed for large-scale data collection and analysis. It is optimized for scalability and high performance to support collecting and processing billions of events per day.
analytics
big-data
scalable
open-source
Rakam: Open-Source Analytics Platform for Large-Scale Data Collection
Rakam is an open-source analytics platform designed for large-scale data collection and analysis. It is optimized for scalability and high performance to support collecting and processing billions of events per day.
What is Rakam?
Rakam is an open-source analytics platform optimized for large-scale data processing. It provides a full stack for handling event data including collection, storage, analysis, and visualization.
Some key features of Rakam include:
- Scalable data collection using SDKs and APIs
- Real-time data processing for fast insights
- Support for structured, semi-structured and unstructured data
- Customizable SQL and JavaScript processors for data transformation
- Out-of-the-box support for funnels, retention, and cohort analysis
- Integration with BI tools like Metabase and Redash for visualization
Rakam is designed from the ground up to handle large data volumes in the billions of events per day. It auto-scales across low-cost servers or clusters to provide cost-effective analytics infrastructure. The platform is open-source and extensible to meet the needs of a wide range of use cases.
Rakam Features
Features
- Real-time data collection and processing
- Scalable architecture
- Support for large volumes of data
- Customizable data pipelines
- Query engine for ad-hoc analysis
- Visualization and dashboarding
- Alerting and anomaly detection
Pricing
- Open Source
Pros
Highly scalable and performant
Open source and free to use
Flexible and customizable
Real-time analytics capabilities
Designed for big data workloads
Cons
Limited out-of-the-box visualizations
Steep learning curve
Requires DevOps skills for setup and management
Not as feature rich as commercial alternatives
Official Links
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