Head of Data Practice at a tech services company with 51-200 employees
Real User
Top 5
2023-01-23T10:56:16Z
Jan 23, 2023
I think it would be better if the product were more mature. It's still a young product compared to Power BI or Qlik. I find that development is a bit difficult, but it might be because I'm used to other tools. The dashboarding capabilities could be better. The reporting and statement generation could be better. I couldn't technically initiate picture-perfect reporting, for example, to send out statements every month for banking customers.
Software Developer at a tech services company with 51-200 employees
Real User
Top 10
2023-01-20T14:28:35Z
Jan 20, 2023
One improvement I can suggest is that Athena needs to work better with third-parties. For example, the process of querying a Microsoft SQL warehouse could be improved. When querying outside of AWS, you can use federated queries, but it's not always easy to do so.
Director & Lead Solutions Architect at Abylle Solutions
Real User
Top 10
2022-12-19T12:29:59Z
Dec 19, 2022
The solution should include a better API for query services so that data can be dumped and queried directly in customer's products. The API should include some sort of data visualization that can be plugged into applications. We had to use QuickSight to help us with the visualization.
If you compare it with Palantir, if you have some data and you want to quickly have a look at it, then that feature is not available in Amazon Cloud. We'd like it better if, for example, when you have some data, you can easily query it and you can easily read it at a glance. We'd like it to just be almost like a drag-and-drop situation. In Amazon Cloud, you actually have first to upload the data into S3. For that, you have to create a bucket. Now you have to create a Glue service, which will get you the schema. Then that schema would create basically a database and a table. After that, you have to go to Athena to query the data. It's a three-step process in Amazon Cloud. In Palantir, you just have to drag and drop.
You have to build out the metadata yourself because of the nature of the cloud.
I think it would be better if the product were more mature. It's still a young product compared to Power BI or Qlik. I find that development is a bit difficult, but it might be because I'm used to other tools. The dashboarding capabilities could be better. The reporting and statement generation could be better. I couldn't technically initiate picture-perfect reporting, for example, to send out statements every month for banking customers.
One improvement I can suggest is that Athena needs to work better with third-parties. For example, the process of querying a Microsoft SQL warehouse could be improved. When querying outside of AWS, you can use federated queries, but it's not always easy to do so.
The solution should include a better API for query services so that data can be dumped and queried directly in customer's products. The API should include some sort of data visualization that can be plugged into applications. We had to use QuickSight to help us with the visualization.
If you compare it with Palantir, if you have some data and you want to quickly have a look at it, then that feature is not available in Amazon Cloud. We'd like it better if, for example, when you have some data, you can easily query it and you can easily read it at a glance. We'd like it to just be almost like a drag-and-drop situation. In Amazon Cloud, you actually have first to upload the data into S3. For that, you have to create a bucket. Now you have to create a Glue service, which will get you the schema. Then that schema would create basically a database and a table. After that, you have to go to Athena to query the data. It's a three-step process in Amazon Cloud. In Palantir, you just have to drag and drop.