Airbyte
AirbyteReviews from AWS customer
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Simplifying the EL(T) to data pipeline.
What do you like best about the product?
User-friendly without the need for extensive learning. Allows for swift creation of data pipelines, supporting diverse data imports, and customizable import scheduling.
What do you dislike about the product?
Numerous customization options are available, but it also comes with several limitations.
What problems is the product solving and how is that benefiting you?
The process of swiftly transferring data from one location to another, reducing the time required for coding.
Effortlessly transitioning data
What do you like best about the product?
Airbyte delivers a user-friendly mechanism that's ready in a few simple phases: deploying, initializing inputs, configuring outputs, and merging the two endpoints.
What do you dislike about the product?
Navigating issues as an open-source enthusiast of Airbyte can be challenging. I recall struggles from the previous year due to obsolete guidance. Seeking community insights sometimes feels like a wild goose chase. Thankfully, such hiccups are not a daily occurrence. Once set in motion, it's smooth sailing until a new version comes along.
What problems is the product solving and how is that benefiting you?
easy to get started to build POC and apps runnig in prod.
Easy to use with a lot of connectors
What do you like best about the product?
Open source, easy to set up, many connectors
What do you dislike about the product?
Current version of Source connector changing from dev version to a current one after reboot. Notification only via Webhook.
What problems is the product solving and how is that benefiting you?
Processing data from MS SQL to our data warehouse in BigQuery
very good choice for small tech companies
What do you like best about the product?
having data from external services in a data warehouse is a standard issue for a lot of companies and for some reason there isn't a single quick way to sort it out.
we chose the open source version of airbyte primarily for the alpha connectors (unavailable in the managed version) and because we're able to deploy it on our k8s clusters and "the backend and data team" (literally two people) work closely together.
deployment and general reliability are very straightforward, and once a connector is set up and starts syncing, it just works.
we chose the open source version of airbyte primarily for the alpha connectors (unavailable in the managed version) and because we're able to deploy it on our k8s clusters and "the backend and data team" (literally two people) work closely together.
deployment and general reliability are very straightforward, and once a connector is set up and starts syncing, it just works.
What do you dislike about the product?
many of the connectors are in alpha state and one is generally forced to switch to the open source version if one of those is needed. a few connectors prioritise snowflake compatibility over bigquery (there are a few issues concerning the handling of dates), but everything being open source, it's straightforward to deploy your own patched version.
What problems is the product solving and how is that benefiting you?
as mentioned above, we have a few external services which generate data that we wanted to import into our single data warehouse. airbyte does just that, quietly, as promised. much better than a bunch of custom scripts running as cronjobs.
Optimal introduction to the E(TL) framework
What do you like best about the product?
- Ease of setup
- It's possible to create custom connector with minimal effort
- OSS alternative
- intuitive GUI
- It's possible to create custom connector with minimal effort
- OSS alternative
- intuitive GUI
What do you dislike about the product?
- It only supports time-based flows (scheduled/cron)
What problems is the product solving and how is that benefiting you?
Airbyte allows even non coders to connect tens of data sources to tens of destinations in basically no time
A simple no code solution to move data from A to B
What do you like best about the product?
Airbyte provides a tool that works out of the box with 4 easy steps, install, setup source, setup target, connect source and target.
Recent additional feature for selecting columns to move is very handy and easy to use. This reduces a lot of unwanted data being moved.
Recent additional feature for selecting columns to move is very handy and easy to use. This reduces a lot of unwanted data being moved.
What do you dislike about the product?
As an Airbyte open source user, when things dont work, it's frustrating to troubleshoot. Last year, I had a challenge to install, and documentation was not up-to-date and it's hard to get support from community. It's very rare though, as we don't install new instance every day. Once it's installed and running, it keeps on running until next major upgrade.
What problems is the product solving and how is that benefiting you?
Moving data from our transactional databases into data warehouse in a quick manner. Airbyte is the right solution for this problem.
With more connectors being added, we can have assurance that we can connect Airbyte with latest platforms in the market.
With more connectors being added, we can have assurance that we can connect Airbyte with latest platforms in the market.
It is so intuitive ans very simple to build ETL pipeline
What do you like best about the product?
No code and development simplycity. Ease of use
What do you dislike about the product?
Installation on EC2 could have been made simopler
What problems is the product solving and how is that benefiting you?
Building ETL pipeline with minimum effort
I have used Airbyte for more than two years for data ingestion
What do you like best about the product?
Airbyte is a great platform for transferring data from data sources such as databases and api's to your data warehouse
What do you dislike about the product?
There is nothing I dislike about Airbyte
What problems is the product solving and how is that benefiting you?
It transfers data reliably and quickly from source to destination, has a great selection of connectors as well as the ability to modify and create new connectors in case they are not already available
One of the best open-source solution for data ingestion
What do you like best about the product?
- Easy to setup, deploy and use
- Active community
- Many connectors available and also possibility to use no-code custom connector
- Active community
- Many connectors available and also possibility to use no-code custom connector
What do you dislike about the product?
- Some connections issue with Mongo Connector
- Dunno if it's still the case when modifying little things (like adding new table) in destination schema we need to reset all tables
- Dunno if it's still the case when modifying little things (like adding new table) in destination schema we need to reset all tables
What problems is the product solving and how is that benefiting you?
Helping me ingesting data from business tools into data warehouse.
I succeed to ingest CRM, Marketing automation, Paid ads, HR tools.
This data is actively used for reporting and dashboarding purposes
I succeed to ingest CRM, Marketing automation, Paid ads, HR tools.
This data is actively used for reporting and dashboarding purposes
The new standard for data engineering pipeines
What do you like best about the product?
I love how simple the GUI is to use, and how helpful the octavia-cli is for managing airbyte in multiple environments (dev, prod). Having all our connectors in one place is incredibly helpful, and having such a vast amount of connectors at our fingertips saves us time from creating these things from scratch.
What do you dislike about the product?
We manage airbyte on our own hosted EC2, so there is a fair amount of time associated with maintaining that and getting it set up with a proper CI/CD pipeline. It's a maturing product, so not all the connectors are 100% reliable yet, but they're getting closer every day. I do wish that incremental loads allows for a lookback window (i.e. load everything from the latest date minus 15 minutes onward) to help them be more reliable.
What problems is the product solving and how is that benefiting you?
We use it to move our data from SQL Server & Salesforce into Snowflake, which allows us to quickly build our data warehouse in one place that's easily accessible to everyone.
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