What is your experience regarding pricing and costs for Databricks?

For my company, it's okay to upgrade to Databricks because it's comparable in price to Informatica. It is not considered expensive for the company.

The product pricing is moderate.

It is an expensive tool. The licensing model is a pay-as-you-go one.

The pricing is average.

Databricks' price is high.

I cannot judge whether the product is expensive or cheap since I am unaware of the prices of the other products, which are competitors of Databricks. The licensing costs of Databricks depend on how many licenses we need, depending on which Databricks provides a lot of discounts.

I would rate the tool’s pricing an eight out of ten.

We're charged on what the data throughput is and also what the compute time is.

I would rate Databricks' pricing seven out of ten.

I wouldn't consider it a costly solution. Like all other solutions, it depends on how you use them. If you provision sparked clusters much larger than what you need, it becomes costly. For example, it is not more costly than EMR, the AWS equivalent, and from my perspective, it is much better.

We have a pay-as-you-go subscription and pay for it based on our usage.

The cost for Databricks depends on the use case. I work on it as a consultant, so I'm using the client's Databricks, so it depends on how big the client is. If it's a global organization, that cost varies versus a smaller organization that has just adopted the platform and is trying to onboard a small team of five people. It depends.

I would advise that they train themselves before using Databricks. They should figure out which advantages Databricks has over just plain Spark and use it to the best advantage that they can.

The price of Databricks is reasonable compared to other solutions.

The solution is a bit expensive. That said, it's worth it. I see it as an Apple product. For example, the iPhone is very expensive, yet you get what you pay for. The cost depends on the size of your data. If you have lots of data, it's going to be more expensive since your paper compute units will be more. My smallest project is around a hundred euros, and my most expensive is just under a thousand euros a week. That is based on terabytes of data processed each month.

The solution is a good value for batch processing and huge workloads. The price might be high for use cases that are for streaming or strictly data science.

Licensing costs are charged on a yearly basis and costs between 25,000 and 30,000.

Price-wise, I would rate Databricks a three out of five.

For us, this product is free. We use the community version. I am interested in using the enterprise version, however. Whether we use it or not depends on the projects and customers we get.

Databricks' cost could be improved.

The licensing of Databricks is a tiered licensing regime, so it is flexible. I feel their pricing is a five out of five.

The billing of Databricks can be difficult and should improve.

The cost is around $600,000 for 50 users. I would rate the price 2 out of 5.

The cost of Databricks is in the lower range compared to other solutions. That was one of the main reasons we chose Databricks over other vendors and platforms. We pay as we go, so there isn't a fixed price. It's charged by the unit. I don't have any details detail about how they measure this, but it should be a mix between processing and quantity of data handled. We run a simulation based on our use cases, which gives us an estimate. We've been monitoring this, and the costs have met our expectations.

Databricks is a very expensive solution. Pricing is an area that could definitely be improved. They could provide a lower end compute and probably reduce the price.

As the licensing is not within my purview, I am not in a position to comment on this.

The cost of the solution is slightly on the high side so it's important to use it efficiently.

The solution requires a subscription.

The solution uses a pay-per-use model with an annual subscription fee or package. Typically this solution is used on a cloud platform, such as Azure or AWS, but more people are choosing Azure because the price is more reasonable.

I can't speak on pricing of the solution. It's not an aspect of the solution I deal with directly.

The pricing of the product is very reasonable. The fact that it is on the cloud makes it a less expensive option. Other solutions that are on-premises are quite expensive.

There are many different versions. We used the trial version, which was free.

Databricks uses pay-per-use model, where you can use as much compute as you need. I think that the cost can be reduced, given that there are more users on the platform, although it is not as expensive as some other solutions like SAS.

The price is okay. It's competitive.

I am based in South Africa, where it is expensive adapting to the cloud, and then there is the price for the tool itself. The cost is difficult to estimate. I've got customers who went to the cloud and then they realized that the costs were more, compared to what they used to be on-premises. Also, because our exchange rate is so weak, I would always advocate that prices being lower is better, although I don't know how feasible it is.

The pricing depends on the usage itself. They measure the cost of the companies in town. It also depends on the type of cluster that you are using. If you are using a very heavy cluster, it would be the price per CPU.

The solution is expensive. It's not like a lot of competitors, which are open-source.

We find Databricks to be very expensive, although this improved when we found out how to shut it down at night.

I'm not sure what the licensing costs are on the solution.

I do not exactly know the costs, but one of our clients pays between $100 USD and $200 USD monthly.

Set up a cluster in your cloud of choice, but Databricks' service might also be very competitive as their pricing units will be built in. Licensing on site I would counsel against, as on-site hardware issues tend to really delay and slow down delivery.