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Meerschaum Alternatives
Similar projects and alternatives to Meerschaum
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airbyte
The leading data integration platform for ETL / ELT data pipelines from APIs, databases & files to data warehouses, data lakes & data lakehouses. Both self-hosted and Cloud-hosted.
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InfluxDB
Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
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risingwave
SQL stream processing, analytics, and management. PostgreSQL simplicity, unrivaled performance, and seamless elasticity. š 10x more productive. š 10x more cost-efficient.
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SaaSHub
SaaSHub - Software Alternatives and Reviews. SaaSHub helps you find the best software and product alternatives
NOTE:
The number of mentions on this list indicates mentions on common posts plus user suggested alternatives.
Hence, a higher number means a better Meerschaum alternative or higher similarity.
Meerschaum reviews and mentions
Posts with mentions or reviews of Meerschaum.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-06-30.
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Using SQL inside Python pipelines with Duckdb, Glaredb (and others?)
This sounds like a great use case for Meerschaum. You can organize your scripts into plugins and build out incremental transformations in SQL. We use Meerschaum Compose for client integrations and ETL in a similar workflow to yours.
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Found a great new open source ELT Library - any pointers?
My company has been using a lot of PySpark, but we're working with not-large data (<1TB/source/day) so Spark can be a bit of overkill sometimes and I've been looking for a light-weight replacement. I think I found a replacement that fits all our needs called Meerschaum but I don't see a lot of other DEs talking about it.
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Iām struggling with how to ask for help with my task.
Do the tables have something like a datetime or integer index column? At my job, we use the ETL Python package Meerschaum to sync our tables, and for large ones, we split the sync into chunks with --begin (inclusive) and --end (exclusive).
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For those of you who were self taught, what was your path into data engineering
I worked as the first data engineer for a student internship for two years, during which I rewrote the system several times until I had a time-series ETL system that fit their needs perfectly. After leaving, I took what I learned and started the ETL package Meerschaum, and after a few consulting contracts to deploy Meerschaum, I landed a DE job to manage Meerschaum deployments internally. A bit unconventional but worked out as I had hoped.
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Wanted to share my open source incremental ETL framework: Meerschaum
There's a whole lot more that you can do with the framework, but this post is getting kinda long. Please check out the project homepage for more details, and I'd really love know what y'all think! Can you see a use case for the framework in your stack?
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Python ETL - Jupyter/Pandas/Postgresql(DW) - Project Structure and Scripting
I'm the author of the ETL framework Meerschaum which is meant for this exact purpose. You can build an ETL pipeline in a few lines of Python, e.g. here's a quick video. Check out the Getting Started guide and the docs on writing your first plugin to get your data flowing!
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Tools that allow you to use scripts to build/maintain data pipeline
You can prototype some scripts with a tool called Meerschaum that I built for this kind of purpose. Once you're ready to deploy your prototype, you could refactor it for something more suited for enterprise like Airflow.
- Meerschaum - Data Visualization Pipelines in Minutes
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A note from our sponsor - InfluxDB
www.influxdata.com | 10 May 2024
Stats
Basic Meerschaum repo stats
17
121
7.8
4 months ago
bmeares/Meerschaum is an open source project licensed under Apache License 2.0 which is an OSI approved license.
The primary programming language of Meerschaum is Python.
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