DB
| Couchbase Server | Apache CouchDB |
Topology | Distributed | Replicated |
Automatic failover | Yes | No |
Integrated cache | Yes | No |
Memcached compatible | Yes | No |
Query language | Yes, N1QL (SQL for JSON) | No |
Why relational database instead of NoSQL: https://blog.timescale.com/time-series-data-why-and-how-to-use-a-relational-database-instead-of-nosql-d0cd6975e87c
Elastic, InfluxDB, MongoDB, Cassandra, Couchbase, Graphite, Prometheus, ClickHouse, OpenTSDB, DalmatinerDB, KairosDB, RiakTS.
docker run -d --name timescaledb -p 5432:5432 timescale/timescaledb
CREATE EXTENSION IF NOT EXISTS timescaledb CASCADE;
SELECT create_hypertable('conditions', 'time');
-- backgroud:
CREATE INDEX conditions_time_idx
ON public.conditions USING btree
("time" DESC)
TABLESPACE pg_default;
-- additionally partition the data on another
-- dimension (what we call 'space partitioning').
-- E.g., to partition `location` into 4 partitions:
SELECT create_hypertable('conditions', 'time', 'location', 4);
SELECT time_bucket('5 minutes', time) AS time_range,
location, COUNT(*),
MAX(temperature) AS max_temp,
MAX(humidity) AS max_hum
FROM conditions
WHERE time > NOW() - interval '3 hours'
GROUP BY time_range, location
ORDER BY time_range DESC, max_temp DESC;
time_range | location | count | max_temp | max_hum
------------------------+----------+-------+----------+---------
2018-02-23 17:00:00+00 | office | 3 | 70 | 50
2018-02-23 16:35:00+00 | garage | 1 | 77 | 65.2
2018-02-23 16:35:00+00 | office | 2 | 70.1 | 50.1
2018-02-23 16:35:00+00 | basement | 1 | 66.5 | 60
2018-02-23 16:25:00+00 | office | 1 | 70 | 50
(5 rows)
http://docs.basho.com/riak/ts/
Riak TS is a distributed NoSQL key/value store optimized for time series data.
Last modified 2yr ago