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Dagster Pros and Cons: Top 5 Advantages and Disadvantages

Quick AI Summary Based on G2 Reviews

Generated from real user reviews

Users value the strong analytics capabilities of Dagster, enhancing reliability and transparency in data orchestration. (2 mentions)
Users love the ease of use of Dagster, enabling reliable and transparent data orchestration seamlessly. (2 mentions)
Users value Dagster's asset-centric approach, enhancing reliability, transparency, and ease of monitoring in data orchestration. (2 mentions)
Users value the flexibility of Dagster, appreciating its sophistication and adaptability for various data engineering use cases. (2 mentions)
Users find Dagster to be a sophisticated and modern tool, ideal for diverse data engineering needs. (1 mentions)
Users find Dagster's difficult learning curve challenging, hindering adoption and complicating the onboarding process. (2 mentions)
Users find Dagster's steep learning curve challenging, especially for smaller teams seeking simplicity and ease of use. (2 mentions)
Users find Dagster has a steep learning curve that can complicate initial adoption and usability. (2 mentions)
Users find the steep learning curve of Dagster challenging, which complicates initial adoption and usage. (2 mentions)
Users find the complex setup of Dagster to be challenging, hindering quick adoption and ease of use. (1 mentions)

5 Pros or Advantages of Dagster

1. Analytics
Users value the strong analytics capabilities of Dagster, enhancing reliability and transparency in data orchestration.
See 2 mentions

See Related User Reviews

AB

Aarsh B.

Mid-Market (51-1000 emp.)

4.0/5

"Dagster: Review"

What do you like about Dagster?

Dagster stands out for its asset‑centric approach to data orchestration, treating data as first‑class assets rather than just tasks. This makes pipeli

Kelvin Ngoc Nguyen L.
KL

Kelvin Ngoc Nguyen L.

Small-Business (50 or fewer emp.)

5.0/5

"Much more advanced and modern alternative to Apache Airflow"

What do you like about Dagster?

The tool is very sophisticated, modern and suitable for almost all use-cases of data engineering.

2. Ease of Use
Users love the ease of use of Dagster, enabling reliable and transparent data orchestration seamlessly.
See 2 mentions

See Related User Reviews

AB

Aarsh B.

Mid-Market (51-1000 emp.)

4.0/5

"Dagster: Review"

What do you like about Dagster?

Dagster stands out for its asset‑centric approach to data orchestration, treating data as first‑class assets rather than just tasks. This makes pipeli

Kelvin Ngoc Nguyen L.
KL

Kelvin Ngoc Nguyen L.

Small-Business (50 or fewer emp.)

5.0/5

"Much more advanced and modern alternative to Apache Airflow"

What do you like about Dagster?

The tool is very sophisticated, modern and suitable for almost all use-cases of data engineering.

3. Features
Users value Dagster's asset-centric approach, enhancing reliability, transparency, and ease of monitoring in data orchestration.
See 2 mentions

See Related User Reviews

AB

Aarsh B.

Mid-Market (51-1000 emp.)

4.0/5

"Dagster: Review"

What do you like about Dagster?

Dagster stands out for its asset‑centric approach to data orchestration, treating data as first‑class assets rather than just tasks. This makes pipeli

Kelvin Ngoc Nguyen L.
KL

Kelvin Ngoc Nguyen L.

Small-Business (50 or fewer emp.)

5.0/5

"Much more advanced and modern alternative to Apache Airflow"

What do you like about Dagster?

The tool is very sophisticated, modern and suitable for almost all use-cases of data engineering.

4. Flexibility
Users value the flexibility of Dagster, appreciating its sophistication and adaptability for various data engineering use cases.
See 2 mentions

See Related User Reviews

AB

Aarsh B.

Mid-Market (51-1000 emp.)

4.0/5

"Dagster: Review"

What do you like about Dagster?

Dagster stands out for its asset‑centric approach to data orchestration, treating data as first‑class assets rather than just tasks. This makes pipeli

Kelvin Ngoc Nguyen L.
KL

Kelvin Ngoc Nguyen L.

Small-Business (50 or fewer emp.)

5.0/5

"Much more advanced and modern alternative to Apache Airflow"

What do you like about Dagster?

The tool is very sophisticated, modern and suitable for almost all use-cases of data engineering.

5. Data Engineering
Users find Dagster to be a sophisticated and modern tool, ideal for diverse data engineering needs.
See 1 mentions

See Related User Reviews

Kelvin Ngoc Nguyen L.
KL

Kelvin Ngoc Nguyen L.

Small-Business (50 or fewer emp.)

5.0/5

"Much more advanced and modern alternative to Apache Airflow"

What do you like about Dagster?

The tool is very sophisticated, modern and suitable for almost all use-cases of data engineering.

5 Cons or Disadvantages of Dagster

1. Difficult Learning
Users find Dagster's difficult learning curve challenging, hindering adoption and complicating the onboarding process.
See 2 mentions

See Related User Reviews

AB

Aarsh B.

Mid-Market (51-1000 emp.)

4.0/5

"Dagster: Review"

What do you dislike about Dagster?

Dagster’s main drawbacks are its steep learning curve, evolving ecosystem, and complex setup, which can make adoption challenging. Documentation gaps

Kelvin Ngoc Nguyen L.
KL

Kelvin Ngoc Nguyen L.

Small-Business (50 or fewer emp.)

5.0/5

"Much more advanced and modern alternative to Apache Airflow"

What do you dislike about Dagster?

The learning curve at the beginning can be steep.

2. Learning Curve
Users find Dagster's steep learning curve challenging, especially for smaller teams seeking simplicity and ease of use.
See 2 mentions

See Related User Reviews

AB

Aarsh B.

Mid-Market (51-1000 emp.)

4.0/5

"Dagster: Review"

What do you dislike about Dagster?

Dagster’s main drawbacks are its steep learning curve, evolving ecosystem, and complex setup, which can make adoption challenging. Documentation gaps

Kelvin Ngoc Nguyen L.
KL

Kelvin Ngoc Nguyen L.

Small-Business (50 or fewer emp.)

5.0/5

"Much more advanced and modern alternative to Apache Airflow"

What do you dislike about Dagster?

The learning curve at the beginning can be steep.

3. Learning Difficulty
Users find Dagster has a steep learning curve that can complicate initial adoption and usability.
See 2 mentions

See Related User Reviews

AB

Aarsh B.

Mid-Market (51-1000 emp.)

4.0/5

"Dagster: Review"

What do you dislike about Dagster?

Dagster’s main drawbacks are its steep learning curve, evolving ecosystem, and complex setup, which can make adoption challenging. Documentation gaps

Kelvin Ngoc Nguyen L.
KL

Kelvin Ngoc Nguyen L.

Small-Business (50 or fewer emp.)

5.0/5

"Much more advanced and modern alternative to Apache Airflow"

What do you dislike about Dagster?

The learning curve at the beginning can be steep.

4. Steep Learning Curve
Users find the steep learning curve of Dagster challenging, which complicates initial adoption and usage.
See 2 mentions

See Related User Reviews

AB

Aarsh B.

Mid-Market (51-1000 emp.)

4.0/5

"Dagster: Review"

What do you dislike about Dagster?

Dagster’s main drawbacks are its steep learning curve, evolving ecosystem, and complex setup, which can make adoption challenging. Documentation gaps

Kelvin Ngoc Nguyen L.
KL

Kelvin Ngoc Nguyen L.

Small-Business (50 or fewer emp.)

5.0/5

"Much more advanced and modern alternative to Apache Airflow"

What do you dislike about Dagster?

The learning curve at the beginning can be steep.

5. Complex Setup
Users find the complex setup of Dagster to be challenging, hindering quick adoption and ease of use.
See 1 mentions

See Related User Reviews

AB

Aarsh B.

Mid-Market (51-1000 emp.)

4.0/5

"Dagster: Review"

What do you dislike about Dagster?

Dagster’s main drawbacks are its steep learning curve, evolving ecosystem, and complex setup, which can make adoption challenging. Documentation gaps

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Dagster Reviews (2)

Reviews

Dagster Reviews (2)

4.5
2 reviews
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Verified User
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Verified User
Technical officer
Mid-Market (51-1000 emp.)
4/5

Having used the platform for data orchestration, this reviewer highlights Dagster's asset-centric approach that enhances reliability and transparency. The steep learning curve and complex setup can hinder adoption for smaller teams.

View Full Review
Summarized using AI
Kelvin Ngoc Nguyen L.
KL
Kelvin Ngoc Nguyen L.
Staff Software Engineer
Small-Business (50 or fewer emp.)
"Much more advanced and modern alternative to Apache Airflow"
5/5
What do you like best about Dagster?

The tool is very sophisticated, modern and suitable for almost all use-cases of data engineering. Review collected by and hosted on G2.com.

What do you dislike about Dagster?

The learning curve at the beginning can be steep. Review collected by and hosted on G2.com.

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