Rudderstack
airbyte
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Rudderstack | airbyte | |
---|---|---|
83 | 139 | |
3,926 | 13,923 | |
1.5% | 4.7% | |
9.8 | 10.0 | |
3 days ago | 6 days ago | |
Go | Python | |
GNU General Public License v3.0 or later | GNU General Public License v3.0 or later |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
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.
Rudderstack
- Rudderstack Switches to Elastic License
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What is the role of data integration in a Customer Data Platform (CDP)?
If CDP(such as RudderStack) were a restaurant, then Data Integration is the guy that gets all raw ingrediants from different shops and makes it available to Chef that sorts and combines raw ingrediants to make a dish. The chef can't cook anything without raw ingrediamt. Similarly Data Integration is also an important component in CDP that collects customer data from various sources and them other components unify it and activate it.
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Replacing Google Tag Manager with Open-Source alternative
More details on GitHub repository - https://github.com/rudderlabs/rudder-server
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In honor of this sub shutting down, I'm sharing my all-time favorite post.
Are you RudderStack?
- RudderStack v1.8 release - headless customer data platform
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Google Analytics 4 Has Me So Frustrated, We Built Our Own Analytics Service
In bigger setups, all you want is a data collector and router so that you can feed the data into multiple destinations, depending on the use case. Analytics is just one. Example: https://www.rudderstack.com/ & https://www.rudderstack.com/replace-google-analytics-4-guide...
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I want to contribute to open source but don't know where to start
Check out RudderStack, a Go project to build data pipeline. Our slack is quite active. The best way to contribute is by creating a new integration with your favorite tool. You do not need to rely to too much on existing knowledge about inner workings of the project to do so, so it is beginner friendly.
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Hot Takes on the Modern Data Stack
Interesting. About "Redshift need google sheet sync to table", wouldn't this be more aligned with the responsibility of a CDP(such as RudderStack) as opposed to something we expext a warehouse to do?
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Writing few lines of open-source js/python code can get ₹8k-80k. Is it a good reward for an oss challenge? Last day, more prizes than the participants until now :)
The challenge is over. Winners have been announced. When we are ready for the next one, will announce on RudderStack GitHub repo
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Project showcase: sample Data Lakehouse
Super. This is amazing. Sharing your project with the community. If you get a chance, try out RudderStack to build your pipeline.
airbyte
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Launch HN: Bracket (YC W22) – Two-Way Sync Between Salesforce and Postgres
I'l also give a shout-out to Airbyte (https://airbyte.com/), with which I've had some limited success with integrating Salesforce to a local database. The particular pull for Airbyte is that we can self-host the open source version, rather than pay Fivetran a significant sum to do this for us.
It's an immature tool, so I don't yet know that I can claim we've spent _less_ than Fivetran on the additional engineering and ops time, but it feels like it has potential to do so once stabilized.
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Who's hiring developer advocates? (October 2023)
Link to GitHub -->
- All the ways to capture changes in Postgres
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Airbyte API and Terraform Provider – available in open source
When it says "available in open source", is that under the main airbyte repo's licensing [1], hence primarily licensed under the Elastic License v2 and therefore not typically considered open source by many?
Airbyte has previous of advertising their offering as open source while not really being as per the OSD[2]. This has been raised with them previously but without response [3][4]. They've also been extending their use of ELv2, recently moving many of their existing MIT licensed connectors to be ELv2 [5].
[1] https://github.com/airbytehq/airbyte/blob/master/LICENSE
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Need help moving 16gb of mongodb data to tableau
As possible solution, I can suggest Airbyte(https://airbyte.com/). it's more performant than generic python script.
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Connecting data sources to Xata with Airbyte and Zapier integrations
Airbyte, an open-source data integration engine that offers hundreds of connectors with data warehouses and databases, has gained popularity for its seamless integration and data syncing capabilities. Xata's integration with Airbyte offers a streamlined data ingestion process from any Airbyte input source directly into your Xata database.
- Data replication from postgresql to MSSQL
- Testing
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Is it impossible to contribute to open source as a data engineer?
You can try and contribute some new connectors/operators for workflow managers like Airflow or Airbyte
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airbyte VS cloudquery - a user suggested alternative
2 projects | 2 Jun 2023
What are some alternatives?
Snowplow - The enterprise-grade behavioral data engine (web, mobile, server-side, webhooks), running cloud-natively on AWS and GCP
Airflow - Apache Airflow - A platform to programmatically author, schedule, and monitor workflows
PostHog - 🦔 PostHog provides open-source product analytics, session recording, feature flagging and A/B testing that you can self-host.
dagster - An orchestration platform for the development, production, and observation of data assets.
Socioboard - Socioboard is world's first and open source Social Technology Enabler. Socioboard Core is our flagship product.
Prefect - The easiest way to build, run, and monitor data pipelines at scale.
unomi - Apache Unomi
meltano
Elasticsearch - Free and Open, Distributed, RESTful Search Engine
jitsu - Jitsu is an open-source Segment alternative. Fully-scriptable data ingestion engine for modern data teams. Set-up a real-time data pipeline in minutes, not days
Apache Kafka - Mirror of Apache Kafka
spark-rapids - Spark RAPIDS plugin - accelerate Apache Spark with GPUs