
OpenStack
Linode
DigitalOcean
Microsoft Azure
Amazon EC2
Vultr
Bluehost
Google Compute Engine
Airbyte
Fivetran
Meltano
Hevo Data
Stitch
Estuary
MAGE
Segment
OpenStack
AirbyteOpenStack is particularly recommended for large enterprises, organizations with skilled IT teams, academic institutions, and service providers that need a highly customizable and scalable cloud solution. It's also a great fit for entities with specific compliance requirements or those that need to run a private cloud with tailored configurations.
Airbyte is recommended for organizations and developers who prefer an open-source tool for data integration, specifically those who want to create custom connectors or have unique data integration requirements. It's particularly suitable for technology-savvy teams who are comfortable working with a modular system and can contribute or adapt to the evolving ecosystem.
Based on our record, Airbyte seems to be a lot more popular than OpenStack. While we know about 54 links to Airbyte, we've tracked only 2 mentions of OpenStack. 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.
In my first post, I looked into what is OpenStack and how, if done right, can be quite a powerful ally in our cloud deployment strategies. In this post, I want to start looking at how we can create an application to learn the basics and components of the system. - Source: dev.to / about 5 years ago
While searching for solutions and documentation on the various problems I've come across, I would often see references to OpenStack and it got my curiosity going. What is OpenStack? What services does it offer and who owns it? How do I learn to use it? What are it's costs and limitations? - Source: dev.to / about 5 years ago
We discussed briefly above the slight overstepping by using dbt and DuckDB to pull the API data into the source tables. In reality that should probably be another application doing the extraction, such as dlt, Airbyte, etc. - Source: dev.to / 6 months ago
Airbyte is an open-source data integration platform that supports log-based CDC from databases like Postgres, MySQL, and SQL Server. To assist log-based CDC, Airbyte uses Debezium to capture various operations like INSERT and UPDATE. - Source: dev.to / over 1 year ago
Whenever we discuss event streaming, Kafka inevitably enters the conversation. As the de facto standard for event streaming, Kafka is widely used as a data pipeline to move data between systems. However, Kafka is not the only tool capable of facilitating data movement. Products like Fivetran, Airbyte, and other SaaS offerings provide user-friendly tools for data ingestion, expanding the options available to... - Source: dev.to / over 1 year ago
Letโs say Iโm using Cursor to build a bunch of data apps and using Airbyte as the data movement platform and Streamlit for the frontend. Iโm writing in Python and using the Airbyte API libraries. This is my basic โtech stackโ. - Source: dev.to / over 1 year ago
Some popular tools for data extraction are Airbyte, Fivetran, Hevo Data, and many more. - Source: dev.to / over 1 year ago
Linode - We make it simple to develop, deploy, and scale cloud infrastructure at the best price-to-performance ratio in the market.
Fivetran - Fivetran offers companies a data connector for extracting data from many different cloud and database sources.
DigitalOcean - Simplifying cloud hosting. Deploy an SSD cloud server in 55 seconds.
Meltano - Open source data dashboarding
Microsoft Azure - Windows Azure and SQL Azure enable you to build, host and scale applications in Microsoft datacenters.
Hevo Data - Hevo Data is a no-code, bi-directional data pipeline platform specially built for modern ETL, ELT, and Reverse ETL Needs. Get near real-time data pipelines for reporting and analytics up and running in just a few minutes. Try Hevo for Free today!