ticktock
TimescaleDB
ticktock | TimescaleDB | |
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2 | 82 | |
71 | 16,547 | |
- | 1.3% | |
9.1 | 9.8 | |
8 days ago | 3 days ago | |
C++ | C | |
GNU General Public License v3.0 only | GNU General Public License v3.0 or later |
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ticktock
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ePaper-Weather: My own build of a weather monitoring display for my personal needs
Additionally, because I love building up data infrastructure, I've added a Grafana instance backed by an InfluxDB. I've tried TickTock instead of InfluxDB because I was afraid of performance issues on a Raspy, but I had stability issues with TickTock. Also InfluxDB doesn't seem to cause memory or CPU issues.
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Help with timeseries data
TickTockDB is a new open-src TSDB. Although it is not rich in features, its write throughput can reach 3.2M data points/sec v.s. InfluxDB 74K in a 2c4g x86 (detail report here). It is enough for your case (79M data point/day = 914/sec). You may also have to consider max cardinality (i.e., number of time series supported) of TSDB. TickTockDB's max cardinality is 2M v.s. InfluxDB 150k in RaspberryPI4 (detail report here)).
TimescaleDB
- TimescaleDB: An open-source time-series SQL database
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Google Cloud Spanner is now half the cost of Amazon DynamoDB
Don't forget PostgreSQL extensions. For something like a chat log, TimescaleDB (https://www.timescale.com/) can be surprisingly efficient. It will handle partitioning for you, with additional features like data reordering, compression, and retention policies.
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How to setup Postgres master-master cluster.
Offboard it to Postgres specialists like https://www.timescale.com/
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How to Choose the Right MQTT Data Storage for Your Next Project
TimescaleDB{:target="_blank"}: an extension of PostgreSQL that adds time-series capabilities to the relational database model. It provides scalability and performance optimizations for handling large volumes of time-stamped data while maintaining the flexibility of a relational database.
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Why does the presence of a large write-only table in a PostgreSQL database cause severe performance degradation?
Have some experience with https://www.timescale.com in this context
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Opinions and Suggestions for PostgreSQL Extension under Development
What about getting in touch with commercial organisations that have products/services based on PostgreSQL? For example Timescale, EDB, and Citus Data, or really any hosting provider that offers a managed PostgreSQL service.
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I have to do about a million inserts on a table every day that is also under very frequent reads. How should I do that?
There is Timescale.
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Ask HN: It's 2023, how do you choose between MySQL and Postgres?
Friends don't let their friends choose Mysql :)
A super long time ago (decades) when I was using Oracle regularly I had to make a decision on which way to go. Although Mysql then had the mindshare I thought that Postgres was more similar to Oracle, more standards compliant, and more of a real enterprise type of DB. The rumor was also that Postgres was heavier than MySQL. Too many horror stories of lost data (MyIsam), bad transactions (MyIsam lacks transaction integrity), and the number of Mysql gotchas being a really long list influenced me.
In time I actually found out that I had underestimated one of the most important attributes of Postgres that was a huge strength over Mysql: the power of community. Because Postgres has a really superb community that can be found on Libera Chat and elsewhere, and they are very willing to help out, I think Postgres has a huge advantage over Mysql. RhodiumToad [Andrew Gierth] https://github.com/RhodiumToad & davidfetter [David Fetter] https://www.linkedin.com/in/davidfetter are incredibly helpful folks.
I don't know that Postgres' licensing made a huge difference or not but my perception is that there are a ton of 3rd party products based on Postgres but customized to specific DB needs because of the more liberalness of the PG license which is MIT/BSD derived https://www.postgresql.org/about/licence/
Some of the PG based 3rd party DBs:
Enterprise DB https://www.enterprisedb.com/ - general purpose PG with some variants
Greenplum https://greenplum.org/ - Data warehousing
Crunchydata https://www.crunchydata.com/products/hardened-postgres - high security Postgres for regulated environments
Citus https://www.citusdata.com - Distributed DB & Columnar
Timescale https://www.timescale.com/
Why Choose PG today?
If you want better ACID: Postgres
If you want more compliant SQL: Postgres
If you want more customizability to a variety of use-cases: Postgres using a variant
If you want the flexibility of using NOSQL at times: Postgres
If you want more product knowledge reusability for other backend products: Postgres
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Help with timeseries data
TimescaleDB is Postgres with extensions to automatically partition tables for fast processing of time series data.
- Postgres for time-series data
What are some alternatives?
inkyWeather - A python script that draws weather conditions on an Inky-phat e-paper display
ClickHouse - ClickHouse® is a free analytics DBMS for big data
epaper-weather - A small program to display weather data on a 2.13 inch epaper screen, with some monitoring
promscale - [DEPRECATED] Promscale is a unified metric and trace observability backend for Prometheus, Jaeger and OpenTelemetry built on PostgreSQL and TimescaleDB.
griddb - GridDB is a next-generation open source database that makes time series IoT and big data fast,and easy.
TDengine - TDengine is an open source, high-performance, cloud native time-series database optimized for Internet of Things (IoT), Connected Cars, Industrial IoT and DevOps.
QuestDB - An open source time-series database for fast ingest and SQL queries
GORM - The fantastic ORM library for Golang, aims to be developer friendly
e_paper_weather_display - Raspberry Pi weather display using Waveshare e-paper display and Open Weather Map API
temporal_tables - Temporal Tables PostgreSQL Extension
machbase-neo - machbase-neo = time series database + mqtt + http + data visualization
pgbouncer - lightweight connection pooler for PostgreSQL