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TimescaleDB Alternatives
Similar projects and alternatives to TimescaleDB
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promscale
[DEPRECATED] Promscale is a unified metric and trace observability backend for Prometheus, Jaeger and OpenTelemetry built on PostgreSQL and TimescaleDB.
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InfluxDB
Collect and Analyze Billions of Data Points in Real Time. Manage all types of time series data in a single, purpose-built database. Run at any scale in any environment in the cloud, on-premises, or at the edge.
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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.
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tsbs
Time Series Benchmark Suite, a tool for comparing and evaluating databases for time series data
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Telegraf
The plugin-driven server agent for collecting & reporting metrics.
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Mergify
Tired of breaking your main and manually rebasing outdated pull requests?. Managing outdated pull requests is time-consuming. Mergify's Merge Queue automates your pull request management & merging. It's fully integrated to GitHub & coordinated with any CI. Start focusing on code. Try Mergify for free.
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timescale-analytics
Extension for more hyperfunctions, fully compatible with TimescaleDB and PostgreSQL 📈
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VictoriaMetrics
VictoriaMetrics: fast, cost-effective monitoring solution and time series database
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PostHog
🦔 PostHog provides open-source product analytics, session recording, feature flagging and a/b testing that you can self-host.
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Grafana
The open and composable observability and data visualization platform. Visualize metrics, logs, and traces from multiple sources like Prometheus, Loki, Elasticsearch, InfluxDB, Postgres and many more.
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autocomplete
IDE-style autocomplete for your existing terminal & shell
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PostgreSQL
Mirror of the official PostgreSQL GIT repository. Note that this is just a *mirror* - we don't work with pull requests on github. To contribute, please see https://wiki.postgresql.org/wiki/Submitting_a_Patch
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materialize
Materialize is an Operational Data Warehouse: A cloud data warehouse with streaming internals, built for work that needs action on what’s happening right now. (by MaterializeInc)
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SonarQube
Static code analysis for 29 languages.. Your projects are multi-language. So is SonarQube analysis. Find Bugs, Vulnerabilities, Security Hotspots, and Code Smells so you can release quality code every time. Get started analyzing your projects today for free.
NOTE:
The number of mentions on this list indicates mentions on common posts plus user suggested alternatives.
Hence, a higher number means a better TimescaleDB alternative or higher similarity.
TimescaleDB reviews and mentions
Posts with mentions or reviews of TimescaleDB.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-07-23.
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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.
- TimescaleDB 2.7 vs. PostgreSQL 14
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A note from our sponsor - SonarQube
www.sonarqube.org | 22 Sep 2023
Stats
Basic TimescaleDB repo stats
80
15,516
8.8
about 23 hours ago
timescale/timescaledb is an open source project licensed under GNU General Public License v3.0 or later which is an OSI approved license.
The primary programming language of TimescaleDB is C.
Static code analysis for 29 languages.
Your projects are multi-language. So is SonarQube analysis. Find Bugs, Vulnerabilities, Security Hotspots, and Code Smells so you can release quality code every time. Get started analyzing your projects today for free.
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