ReductStore is a time series database designed specifically for storing and managing large amounts of blob data. It has high performance for writing and real-time querying, making it suitable for edge computing, computer vision, and IoT applications. ReductStore is 100% open source under Mozilla Public License v2.0. It has a simple HTTP API and provides random access to data via a timestamp or time interval. Read more here.
- HTTP(S) API
- Storing and accessing blobs as time series
- Optimized for small files
- Real-time FIFO quota for buckets
- Token authorization
- Embedded Web Console
- Support Linux, MacOS and Windows on AMD64
The easiest way to start is to use Docker image:
docker run -p 8383:8383 -v ${PWD}/data:/data reductstore/reductstore:latestor you can use the demo storage: https://play.reduct.store/
ReductStore provides a simple HTTP API, so you could use it with curl:
export API_TOKEN=reduct
# Create a bucket
curl -d "{\"quota_type\":\"FIFO\", \"quota_size\":10000}" \
-X POST \
--header "Authorization: Bearer ${API_TOKEN}" \
-a https://play.reduct.store/api/v1/b/my_data
# Write some data
curl -d "some_data" \
-X POST \
--header "Authorization: Bearer ${API_TOKEN}" \
-a https://play.reduct.store/api/v1/b/my_data/entry_1?ts=10000
# Read the data by using its timestamp
curl --header "Authorization: Bearer ${API_TOKEN}" \
https://play.reduct.store/api/v1/b/my_data/entry_1?ts=10000