Real-time SQL computation engine for streaming numerical data
Project description
RtBot SQL
Real-time SQL computation engine for streaming numerical data. Write SQL to define streaming pipelines — RtBot compiles them into high-performance C++ programs that process data incrementally, one message at a time.
Quick start
from rtbot_sql import RtBotSql
sql = RtBotSql()
sql.execute("CREATE STREAM sensors (temperature DOUBLE, pressure DOUBLE)")
sql.execute("""
CREATE MATERIALIZED VIEW alerts AS
SELECT temperature, pressure,
MOVING_AVERAGE(temperature, 50) AS avg_temp,
MOVING_STD(temperature, 50) AS std_temp
FROM sensors
WHERE ABS(temperature - MOVING_AVERAGE(temperature, 50)) > 2 * MOVING_STD(temperature, 50)
""")
import pandas as pd
df = pd.read_csv("sensor_history.csv")
sql.insert_dataframe("sensors", df)
results = sql.execute("SELECT * FROM alerts")
Features
- One language, all stages — the SQL you write in a notebook is the same SQL that runs in production
- Incremental execution — each new data point updates pipeline state in constant time
- Deterministic — same input always produces the same output, regardless of timing
- High performance — native C++ engine with Python bindings via pybind11
Documentation
License
Proprietary. See rtbot.dev for licensing options.
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