Stream Processing, Time-series database (TSDB) for Real-Time Stream Processing
Continuous data analysis for real-time intelligence integrated with the ongoing operations.
TSDB for Stream Processing
Real-time continuous data intelligence
Real-time continuous data intelligence
Rise of real time data pushes for real-time streaming and predictive processing for advanced and continuous operation intelligence
- Continuous ingestion Time series data and event from anywhere, any device or files or systems for Real-time analytics
- Sliding window (continuous) for limitless processing
- Running aggregates and statistics Training, prediction on streaming data
- Take actions in automated manner
Find patterns, anomalies
Act in real-time with intelligence integrated with operations
Act in real-time with intelligence integrated with operations
Complex Event Processing – State based pattern detection over a period of time
User defined complex rules for continuous events detections for auto action
Setup triggers, alerts or action to kick-off another work-flow once the anomaly or pattern is detected
IOT, Business Ops, Log files, Clickstream, Fintech events System monitoring etc. are few examples where CEP is a must have feature,
Agent and plugins
Ingest data from anywhere, any source
Ingest data from anywhere, any source
The continuous collection and streaming of data are complex, hard and of utmost importance when it comes to analyzing the data, even more so when we deal with all sorts of data.
- Agent is a powerful and lightweight service that ingests data into BangDB from remote machines or sources.
- BangDB agents can be controlled remotely as well, like from Ampere or CLI or REST API etc.
- Agent is also capable of ETL at certain level, enriching data before ingestion
- Agent can monitor sources and read and send data upon trigger at user define frequency
Running Statistics and AI
High performance TSDB in the market
High performance TSDB in the market
Hyper fast query with continuous aggregations and running statistics
Joins, filter, refer, compute attributes, apply AI model, find patterns, project and many more – all in real time
SQL like language for querying, apply aggregates for filtering data
Train AI models on streaming data and predict in real-time for business intelligence