SciTS
TimescaleDB
SciTS | TimescaleDB | |
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1 | 82 | |
12 | 16,547 | |
- | 1.3% | |
4.2 | 9.8 | |
2 months ago | 6 days ago | |
Jupyter Notebook | C | |
- | GNU General Public License v3.0 or later |
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SciTS
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?
slashbase - In-browser database IDE for dev/data workflows. Supports PostgreSQL & MongoDB.
ClickHouse - ClickHouse® is a free analytics DBMS for big data
racing - Community-driven SimRacing data collection and analysis
promscale - [DEPRECATED] Promscale is a unified metric and trace observability backend for Prometheus, Jaeger and OpenTelemetry built on PostgreSQL and TimescaleDB.
cloudnative-pg - CloudNativePG is a comprehensive platform designed to seamlessly manage PostgreSQL databases within Kubernetes environments, covering the entire operational lifecycle from initial deployment to ongoing maintenance
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.
dopg_cli - 🐍🐳🐘 A python command line interface for DigitalOcean postgres clusters (5+ integrations).
GORM - The fantastic ORM library for Golang, aims to be developer friendly
postgres-operator - Production PostgreSQL for Kubernetes, from high availability Postgres clusters to full-scale database-as-a-service.
temporal_tables - Temporal Tables PostgreSQL Extension
humble-benchmarks - Benchmarking programming languages using statistics and machine learning algorithms
pgbouncer - lightweight connection pooler for PostgreSQL