TimescaleDB
metabase-clickhouse-driver
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TimescaleDB | metabase-clickhouse-driver | |
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82 | 1 | |
16,294 | 438 | |
1.5% | 1.8% | |
9.8 | 7.1 | |
6 days ago | 19 days ago | |
C | Clojure | |
GNU General Public License v3.0 or later | Apache License 2.0 |
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For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
TimescaleDB
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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 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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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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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.
- Building a Cloud Database from Scratch: Why We Moved from C++ to Rust
- I would like to know your advice, I am creating an inventory control software, and I would like to use the PostgreSQL database instead of SQL Server, Could you give me your opinions of the advantages and disadvantages of using one or the other, Thank you.
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Question: What is the Best Way to Store a ~10 Terabytes of Time Series Data?
Have you heard of timescale? https://www.timescale.com/ Seems similar to ocient but specifically for time series data.
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Day 23: CI using timescaledb a PostgreSQL based time series database
Slowly I understood that instead of a vanilla PostgreSQL database I need to use to use Timescale which is based on PostgreSQL. I am sure others would have come to this conclusion much faster than I did.
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Is Postgresql integration well supported in Julia?
Good question... haha I haven't really considered it. I'm no too versed in this domain and so the whole project will be a learning experience. One of the things is that it will include time-series harvest data. I was searching around for ways to implement this and found solutions like TimescaleDB and InfluxDB. Seems like also there are just some plugins that can sit on top of PostgreSQL.
metabase-clickhouse-driver
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ClickHouse, Inc
There’s a community connector for metabase https://github.com/enqueue/metabase-clickhouse-driver
What are some alternatives?
ClickHouse - ClickHouse® is a free analytics DBMS for big data
promscale - [DEPRECATED] Promscale is a unified metric and trace observability backend for Prometheus, Jaeger and OpenTelemetry built on PostgreSQL and TimescaleDB.
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.
GORM - The fantastic ORM library for Golang, aims to be developer friendly
temporal_tables - Temporal Tables PostgreSQL Extension
pgbouncer - lightweight connection pooler for PostgreSQL
Telegraf - The plugin-driven server agent for collecting & reporting metrics.
duckdb - DuckDB is an in-process SQL OLAP Database Management System
citus - Distributed PostgreSQL as an extension
postgrest - REST API for any Postgres database
VictoriaMetrics - VictoriaMetrics: fast, cost-effective monitoring solution and time series database
Greenplum - Greenplum Database - Massively Parallel PostgreSQL for Analytics. An open-source massively parallel data platform for analytics, machine learning and AI.