You can work with engineering to make it work for your needs. They are excellent at supporting their customers.

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We are not sure yet in terms of scalability. The off-prem solution seems to scale well (although had issues with the training slowing down).

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It seems like it'll scale well. We're automating it with Ansible scripts and service now so that when we build a new virtual machine it will automatically install Datadog on that box.

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It's magic. For the most part, we just installed the product and a lot of it just worked out of the box.

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I have found Datadog to be scalable.

We have approximately 2,000 users using the solution in my organization.

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We are using the SaaS model so do not manage scalability because the product takes care of our scaling needs with no issues. 

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The scalability of the solution was good. Being a cloud solution, if there was an issue with the scalability it would be easily fixed with an update.

We have approximately 200 users using the solution in my organization.

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I was only using Datadog to monitor on a small scale. 

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Datadog is a highly scalable solution because it is a SaaS solution. Having this solution be a SaaS is one of its most appealing attributes. When the vendor is going to manage data scaling and everything for you, you are only going to use the solution as per your requirements. Autoscaling is a great feature that they have.

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It is easy to scale. That is why we adopted it.

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It is a scalable solution.

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We are a unit within a much larger entity that is using Datadog. It can scale up to meet your needs. 

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The solution scales very well on technical aspects, being able to ingest large quantities of data from many services. However, the pricing often doesn't scale naturally, and effort has to be put in to keep ongoing costs at a reasonable amount.

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It is easy to scale. It's why we adopted it. 

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The solution is pretty scalable! It's hard to set up all the infra (terraform code) required to link private links in Datadog to all of our different AWS accounts.

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There was no issue with scaling as such. It didn't scale well only from the cost perspective.

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My company has 50 users for Datadog. 

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The scalability is very good. We've had no problems until now.

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We are expanding beyond observability right now.

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The solution is very scalable and developed in a fashion that provides the ability to scale easily.

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The scalability is good.

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It's very scalable. I have not reached the limits at any time, never in the solution. I've never seen any performance degradation in large environments. I would say it's very scalable.

Each client has its own instance. We do not share instances with multiple customers. There's usually between 20 and 30, depending on the customer.

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The scalability is great.

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The solution is incredibly scalable! To be fair, our data throughput to Datadog isn't super huge, however, we have never seen issues as it scaled to handle more of our data.

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The scalability is great!

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It appears to be that there are no issues with scaling.

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The scalability is good.

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The scalability is very good.

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The solution seems scalable. We just need to keep an eye on the costs as it scales.

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I have not had the opportunity to evaluate the scalability.

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Scalability has never been an issue, although there is occasionally UI slowness.

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I would say that the amount that we are monitoring is not that large and we've never had any scalability issues. We have around 50 users in our department. 

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If you do not need 100% of data such as logs, APM traces, etc., this scales well. It does not scale as well if you want 100% of your logs indexed. You should understand any other usage-based bills before using any part of their service as it is very easy to run up a large bill.

The performance of the system scales very well, and host monitoring and APM are relatively cheap.

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It has always scaled for us. Cost scales up too, but that is not necessarily a bad thing. It's reasonable for what they're providing. I haven't had any concerns about scaling.

We use between a 100 to 500 servers at any given point in time.

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I totally love it. It is scalable. 

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Datadog is very scalable but just watch the cost.

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The scalability of Datadog is very good.

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It seems easier to scale and build app functionality across multiple teams rather than other solutions.

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It is very scalable.

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It may be scalable. However, we haven't actually tested anything. 

We have six or seven people on the solution at any given time. They're there to handle fixes or do an analysis of logs or monitor the infrastructure.

I'm not sure if we plan to increase usage. We are not growing very rapidly. We're just preparing our environment for the upcoming year. 

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We have an application in AWS running four nodes. It is not too large. Our user base is about 2000 users.

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This product is massively scalable - I haven't seen any issues as we continue to onboard new technologies and teams

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This is a scalable solution. 

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The solution is currently deployed on a limited scale. That said, we see the potential and benefits of deploying this in a cloud scenario.

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Datadog is a scalable product.

We have two customers who are using this solution.

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As long as you're willing to pay for 100% but utilize only 40%, it can scale and do anything you want. In an organization, its users are usually the app group, the security group, and the network group.

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So far we did not have any issues with scaling, and everything is working great.

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Datadog is easy to scale.

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We haven’t had a problem with scalability. It’s been good.

We have 25 to 30 users on it currently. Our entire organization is under 60 people. Although not everyone is on it, a lot of our staff are. The sales, engineering, and customer success teams are all on it.

We may increase usage. No doubt that will come naturally with time. We’re hiring more people, and likely new hires will use it.

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It's a very scalable product. Right now we are using the SaaS version, so we don't need to worry about the infrastructure or whatever is needed for the platform it is running on. All the capturing of data is sent to the SaaS product and that can be as scaled as needed.

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No.

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I'd like to see more bells and whistles added over time. Widgets are coming soon to help with RUM.

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We have not done a full evaluation yet, but given that it is cloud-based, DataDog has to be scalable.

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For everyday use, it's adequate, but for very specific tasks, not so much. There was a time where I had to do a big export and as expected, the API is somewhat limited. Since it was a one-time task, it was not a big deal but if this was a regular task, I wouldn't be happy about it.

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The scalability is fantastic so far.

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As our company does not have many users who are making use of the solution at present, I have not encountered issues with its scalability. 

I do not have plans to increase the usage at the moment. 

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I used to process a million requests easily with Datadog, I never had any scalability issue.

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The scalability is good so far. 

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It has scaled great. I haven't run into any problems anywhere that I've used it. They have handled everything that we have needed them to.

We are a 100 person company with 20 engineers.

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No.

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The scalability is really great.

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The scalability of Datadog is pretty good. However, we haven't arrived at the level that we need to test out the scalability.

We have five people using the solution.

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The solution is scalable.

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The solution is scalable. 

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We have only been using it for six months, and we haven't scaled it. Six months are nothing for such a solution.

We do monitoring as a service, and we have a hundred team members in the team. There are between 30 to 50 users who actively use it in some way.

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Scalability has not been a concern at all. We have had customers with steady state loads: low and high. Our smallest customer is a friends and family startup which has about three instances. We have steady state loads which are more than 500. Then, we have customers with two instances all summer, but do seasonal work in the winter and can scale to more than 1000 instances. 

We have never noticed a hiccup on Datadog with any of our scaling. It has always grown to meet our program.

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It's an SaaS solution, so it should be scalable although I don't know the architecture of it.

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We have managed to get up to 350 hosts in one of the clusters, and it works fine.

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Datadog is very easy to deploy at scale when implemented early in the deployment process and if made a deployment requirement.

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The perimeter in which we worked was not big enough to get any information about scalability.

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It pretty much vacuums up any information that we throw at it. So, stability hasn't been an issue.

It scales depending on the time of year. Right now, we have about 25 to 50 instances, and in each instance there are probably five different containers, not including logging for all those containers.

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The scalability is good.

Datadog is currently used by 15 people in our organization.

We intend to continue and expand our use of this solution.

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We have had no issues with scalability.

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The scalability is good.

We have over a 1000 accounts on three servers. There are other servers, which work as a helper server. However, the servers which help aid traffic or do the heavy lifting are three main servers, currently. They are hosted on Amazon: large machines with large instances.

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We pushed them sometimes, meaning when we would do something their platform didn't support. But they were always very cooperative and proactive. View full review »