Based on our record, Airbyte seems to be a lot more popular than Apache Pig. While we know about 45 links to Airbyte, we've tracked only 2 mentions of Apache Pig. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Pig, a platform/programming language for authoring parallelizable jobs. - Source: dev.to / over 1 year ago
In the early days of the Big Data era when K8s hasn't even been born yet, the common open source go-to solution was the Hadoop stack. We have written several old-fashioned Map-Reduce jobs, scripts using Pig until we came across Spark. Since then Spark has became one of the most popular data processing engines. It is very easy to start using Lighter on YARN deployments. Just run a docker with proper configuration... - Source: dev.to / over 2 years ago
AgentCloud uses Airbyte to build data pipelines, which allow us to split, chunk, and embed data from over 300 data sources, including Postgres. - Source: dev.to / about 1 month ago
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... - Source: Hacker News / 6 months ago
As possible solution, I can suggest Airbyte(https://airbyte.com/). it's more performant than generic python script. Source: 11 months ago
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. - Source: dev.to / 12 months ago
In conclusion, data integration is not just a luxury for companies but a necessity for striving toward success in today’s data-driven world. In today’s competitive business environment, those who can effectively integrate and leverage data from different sources will have a strategic advantage over others who don’t. So, as technology continues to advance and data continues to grow exponentially, businesses that... - Source: dev.to / about 1 year ago
Looker - Looker makes it easy for analysts to create and curate custom data experiences—so everyone in the business can explore the data that matters to them, in the context that makes it truly meaningful.
Fivetran - Fivetran offers companies a data connector for extracting data from many different cloud and database sources.
Jupyter - Project Jupyter exists to develop open-source software, open-standards, and services for interactive computing across dozens of programming languages. Ready to get started? Try it in your browser Install the Notebook.
Supermetrics - Supermetrics condenses all the major vectors of data relevant to a user's marketing campaigns and helps them make sense of it all.
Presto DB - Distributed SQL Query Engine for Big Data (by Facebook)
Meltano - Open source data dashboarding