Astro by Astronomer vs. Fivetran

Astro by Astronomer

Fivetran

Overview
Product	Rating	Most Used By	Product Summary	Starting Price
Astro by Astronomer	Score 10.0 out of 10	N/A	For data teams looking to increase the availability of trusted data, Astronomer provides Astro, a data orchestration platform, powered by Airflow. Astro enables data engineers, data scientists, and data analysts to build, run, and observe pipelines-as-code. Astronomer is the driving force behind Apache Airflow™, the de facto standard for expressing data flows as code. Airflow is downloaded more than 8 million times each month and is used by hundreds of thousands of teams around the world.	N/A
Fivetran	Score 8.5 out of 10	N/A	Fivetran replicates applications, databases, events and files into a high-performance data warehouse, after a five minute setup. The vendor says their standardized cloud pipelines are fully managed and zero-maintenance. The vendor says Fivetran began with a realization: For modern companies using cloud-based software and storage, traditional ETL tools badly underperformed, and the complicated configurations they required often led to project failures. To streamline and accelerate…	$0.01 per credit

Pricing

Astro by Astronomer

Fivetran

Editions & Modules

No answers on this topic

Starter: $0.01
per credit
Standard: $0.01
per credit
Enterprise: $0.01
per credit

Offerings

Pricing Offerings
Astro by Astronomer	Fivetran
Free Trial
Yes	Yes
Free/Freemium Version
No	No
Premium Consulting/Integration Services
No	No

Entry-level Setup Fee

Optional

Additional Details

—

More Pricing Information

Community Pulse
	Astro by Astronomer	Fivetran
Considered Both Products	Astro by Astronomer Uddipan Mukherjee Big Data Specialist Chose Astro by Astronomer Astronomer is a fast, secure, scalable workload management solution. It provides world-class user training along with easy to interact support. Incentivized Helpful?	Fivetran Verified User Anonymous Chose Fivetran Matillion requires a lot more initial setup effort and the resulting schemas are also much more "raw" data than the nicely cleaned schemas which Fivetran provides. Therefore it would also require more (manual) post-processing efforts compared to Fivetran. So the savings on time … Incentivized Helpful? Verified User Anonymous Chose Fivetran Fivetran is much easier to set up and maintain. Airbyte still had a degree of technical knowledge requirement that we didn't have the resources to commit. Fivetran allowed a non-technical employee to establish pipelines and immediately start using the data without having to … Incentivized Helpful? Uddipan Mukherjee Big Data Specialist Chose Fivetran Fivetran is a powerful data replication tool that supported use cases for organization-wide data platforms. Incentivized Helpful? Verified User Anonymous Chose Fivetran We never seriously considered using anything else. Our data engineers had used Fivetran extensively in previous roles so when it came time to make a decision, there wasn't much of a process. They gladly signed the contract with Fivetran pretty quickly. Incentivized Helpful? Sudarshan Kothari Senior Data Scientist Chose Fivetran Fivetran came well with the connectors' availability and updates with the source changes. We had an idea on data requirements in our case which helped us to work out on cost implication and take a decision for Fivetran as a data provider for our organization. These were 2 … Incentivized Helpful? Verified User Anonymous Chose Fivetran Fivetran is more intuitive and easier to use than code-based ETL/ELT tools. The data modelling Fivetran performs makes the data more usable more quickly. Fivetran's dbt support and integration is unique. Incentivized Helpful? Scott Laronge Head of Data Science Chose Fivetran Honestly, we haven't done much investigation in a while, it just works 360 days of the year. The other five days there may be a hiccup that will throw us a day off of data, but it gets caught up in the end. Incentivized Helpful?

Features

Astro by Astronomer

Fivetran

Data Source Connection

Comparison of Data Source Connection features of Product A and Product B
	Astro by Astronomer - Ratings	Fivetran 10.0 Ratings 18% above category average
Connect to traditional data sources	00 Ratings	10.00 Ratings
Connecto to Big Data and NoSQL	00 Ratings	10.00 Ratings

Data Transformations

Comparison of Data Transformations features of Product A and Product B
	Astro by Astronomer - Ratings	Fivetran 7.5 Ratings 8% below category average
Simple transformations	00 Ratings	7.50 Ratings
Complex transformations	00 Ratings	7.40 Ratings

Data Modeling

Comparison of Data Modeling features of Product A and Product B
	Astro by Astronomer - Ratings	Fivetran 6.2 Ratings 25% below category average
Data model creation	00 Ratings	2.00 Ratings
Metadata management	00 Ratings	4.00 Ratings
Business rules and workflow	00 Ratings	8.00 Ratings
Collaboration	00 Ratings	7.80 Ratings
Testing and debugging	00 Ratings	9.00 Ratings

Data Governance

Comparison of Data Governance features of Product A and Product B
	Astro by Astronomer - Ratings	Fivetran 8.3 Ratings 2% above category average
Integration with data quality tools	00 Ratings	8.30 Ratings
Integration with MDM tools	00 Ratings	8.30 Ratings

Best Alternatives
	Astro by Astronomer	Fivetran
Small Businesses	Skyvia Score 9.9 out of 10	Skyvia Score 9.9 out of 10
Medium-sized Companies	Astera Data Pipeline Builder (Centerprise) Score 8.7 out of 10	IBM InfoSphere Information Server Score 8.0 out of 10
Enterprises	Control-M Score 9.3 out of 10	IBM InfoSphere Information Server Score 8.0 out of 10
All Alternatives	View all alternatives	View all alternatives

User Ratings
	Astro by Astronomer	Fivetran
Likelihood to Recommend	10.0 (0 ratings)	8.2 (0 ratings)
Usability	- (0 ratings)	9.0 (0 ratings)
Performance	- (0 ratings)	8.0 (0 ratings)

User Testimonials
	Astro by Astronomer	Fivetran
Likelihood to Recommend	Astronomer is well suited for workflow and dependency management for enterprise-level data lakes. It is not a product for data processing though. Different source systems can be integrated, it also provides powerful interfaces for alerting and monitoring. Easy to build DAGs, graphical UI, API support makes the product more user-friendly as well. Astronomer also does a great job on user training. Incentivized Uddipan Mukherjee Big Data Specialist Read full review	[Fivetran is] very well suited when you are using popular and common data sources, such as the major ad platforms, and SaaS platforms such as Salesforce. If the majority of your data sources are custom internal applications or databases, may be less value as you aren't leveraging the delivered connectors. Incentivized Verified User Anonymous Read full review
Pros	Workflow management Wide availability of plugins Dependency management on upstream Incentivized Uddipan Mukherjee Big Data Specialist Read full review	Simplified ETL from a wide range of data sources Stable and painless data pipeline Granular control over what parts of the data source are loaded Incentivized Verified User Anonymous Read full review
Cons	More language agnostic Flexible fork and join capabilities Near real time UI updates in case of deployment of enhanced DAGs Incentivized Uddipan Mukherjee Big Data Specialist Read full review	Doesn't include support for a Kinesis stream as a data source so couldn't be used for some use cases under consideration Doesn't support the use of "BEFORE DELETE" triggers No support for serverless Aurora Incentivized Verified User Anonymous Read full review
Usability	No answers on this topic	Very easy and intuitive to setup and maintain as there usually are not that many options. Very well documented (e.g. how to setup each connector, how the schema looks like, any specific features of this connector etc.). Also the operation is intuitive, e.g. you have status pages, log pages, configuration pages etc. for each connector. Incentivized Verified User Anonymous Read full review
Performance	No answers on this topic	It runs pretty well and gets our data from point A to point cluster quickly enough. Honestly, it's not something I think about unless it breaks and that's pretty rare. Incentivized Scott Laronge Head of Data Science Read full review
Alternatives Considered	Astronomer is a fast, secure, scalable workload management solution. It provides world-class user training along with easy to interact support. Incentivized Uddipan Mukherjee Big Data Specialist Read full review	Fivetran came well with the connectors' availability and updates with the source changes. We had an idea on data requirements in our case which helped us to work out on cost implication and take a decision for Fivetran as a data provider for our organization. These were 2 places where Fivetran out-performed, other vendors. Incentivized Sudarshan Kothari Senior Data Scientist Read full review
Return on Investment	It helps to build scalable, available and low maintenance workloads Integrated Alerts and notifications helps to detect load issues in the early stages Ensures meeting data SLAs Incentivized Uddipan Mukherjee Big Data Specialist Read full review	Saved a lot of manual development days (unable to quantify) Accelerated the time to add a new source to the data warehouse a lot Incentivized Verified User Anonymous Read full review
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