Datadog vs. Jellyfish

Datadog

Jellyfish

Overview
Product	Rating	Most Used By	Product Summary	Starting Price
Datadog	Score 8.4 out of 10	N/A	Datadog is a monitoring service for IT, Dev and Ops teams who write and run applications at scale, and want to turn the massive amounts of data produced by their apps, tools and services into actionable insight.	$1.27 per month (billed annually) per host
Jellyfish	Score 8.4 out of 10	N/A	Jellyfish is an Engineering Management Platform that enables engineering leaders to align engineering work with strategic business objectives. By analyzing engineering signals and contextual business data, Jellyfish provides complete visibility into engineering organizations, the work they do, and how they operate. Jellyfish Co, headquartered in Boston, states companies like SessionM (A Mastercard Company), Medium, and Toast use Jellyfish to optimize the allocation of engineering resources to…	N/A

Pricing

Datadog

Jellyfish

Editions & Modules

Log Management: $1.27
per month (billed annually) per host
Infrastructure: $15.00
per month (billed annually) per host
Standard: $18
per month per host
Enterprise: $27
per month per host
DevSecOps Pro: $27
per month per host
APM: $31.00
per month (billed annually) per host
DevSecOps Enterprise: $41
per month per host

No answers on this topic

Offerings

Pricing Offerings
Datadog	Jellyfish
Free Trial
Yes	No
Free/Freemium Version
Yes	No
Premium Consulting/Integration Services
No	No

Entry-level Setup Fee

Optional

No setup fee

Additional Details

Discount available for annual pricing. Multi-Year/Volume discounts available (500+ hosts/mo).

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More Pricing Information

Community Pulse
	Datadog	Jellyfish
Considered Both Products	Datadog Verified User Anonymous Chose Datadog In terms of usability, I’ve found Datadog significantly more approachable and powerful compared to Elasticsearch, especially for day-to-day operational monitoring. Datadog offers a much more cohesive, user-friendly interface out of the box, with built-in support for metrics, … Incentivized Helpful? Verified User Anonymous Chose Datadog Kibana and New Relic Incentivized Helpful? Verified User Anonymous Chose Datadog Datadog is an all in one solution. It has everything in one place so you don't have to go from application to application and try to figure out what exactly happened. No more stitching database errors from one third party to backend errors in another to front end errors in … Incentivized Helpful? Verified User Anonymous Chose Datadog the search query is very easy to search the logs Incentivized Helpful? Verified User Anonymous Chose Datadog Datadog crushed the competition on price and offering more solutions in one product cutting down on implementation time and effort while ensuring that the "integration" between one of their offerings was completely compatible with any of the others. I'm sure it's not the case … Incentivized Helpful? Verified User Anonymous Chose Datadog We've completely replaced New Relic with Datadog and find it easier to use and more comprehensive. Our AWS and Sentry usage will continue for now. But Datadog gives us a much broader coverage - we can monitor our AWS services and many other services that interact with them. … Incentivized Helpful? Verified User Anonymous Chose Datadog Dynatrace was cheaper but, in my opinion, its setup, features, and overall user experience do not come close to what Datadog can offer, making it more of a pain to use and not worth the cheaper cost over Datadog (especially if migrating away from Datadog to dynatrace). … Incentivized Helpful? Verified User Anonymous Chose Datadog Better performance and visibility than what I was able to obtain out of AppDynamics Their OnCall offering is very fresh still, but is already almost at parity with Splunk On Call (VictorOps) Incentivized Helpful? Anuj Rai Performance Engineer Chose Datadog The first reason for selecting Datadog was of course it's pricing which is quite better in terms of competitor like Appdynamics and splunk. Second thing is versatile services which they are offering on one platform which means entire end to end services can be monitor at one … Incentivized Helpful? Aman Makwana DevOps Engineer Chose Datadog It's a one-stop solution for all our needs whereas in other open-source tools, we have an operational overhead to keep and manage the uptime of these tools as well and also manage their versioning, upgrade, and patching cycle. Also if there are any bugs then we have to raise an … Incentivized Helpful? Verified User Anonymous Chose Datadog One of the most important reason is single agent configuration for all kinds of monitoring. It also proved an auto upgrade feature of agents that reduces the overhead. It also provides range of options when it comes to data visualization and dashboards. It also provide tagging … Incentivized Helpful? Verified User Anonymous Chose Datadog Kubernetes with Prometheus and other open-source options. It is prone to more toil to set up but the stack can be largely replicated in open source technologies. Incentivized Helpful? RR Rajeshh Raghavan Systems Analyst, Engineering Chose Datadog OEM and Vertica Management console are limited to their own databases whereas Datadog has the ability to monitor multiple types of databases. Incentivized Helpful? Verified User Anonymous Chose Datadog New Relic was a good tool but had really pushy salespeople. They also released a product called infrastructure recently, and it was worse than their previous product (servers). The previous product was also free! Needless to say, we will not be going back to New Relic any time … Incentivized Helpful? Verified User Anonymous Chose Datadog Easier to set up and integrate with other auxiliary tools. The cost was also a benefit along with self-service capabilities. We could set up Data Dog by ourselves, versus needing to bring additional consulting efforts to setup Dynatrace. Reliability of results (less false … Incentivized Helpful? Verified User Anonymous Chose Datadog Ultimately, Datadog had the most already-built bridges into our existing infrastructure -- third parties that we're using for certain services are far more likely to work with Datadog than other systems. This means that, while expensive, Datadog has done a tremendous amount of … Incentivized Helpful? Gabriel Samaroo Senior Software Engineer Chose Datadog Datadog has been harder to setup out-of-the-box compared to its alternatives, although it's graphs and dashboards have been more useful. Other tools handle individual tasks better. For example, Splunk has been the best logging tool I've used, and New Relic is great for CPU and … Incentivized Helpful? Anthony Zappala ServiceNow Lead Engineer/Architect Chose Datadog No alternatives were considered for our needs. Incentivized Helpful? Rahul Narula Senior Engineer Chose Datadog It has been easier to work with Datadog for all our business needs and get things on their roadmap if we found it lacking. Currently we use a mix of various tools as they were existing prior to Datadog came. We are evaluating new offering like Datadog's latest log management to … Incentivized Helpful? Girivaru Tarun Customer Success Manager Chose Datadog I am listing how Datadog is better than below chosen NotSensu - Datadog has more integrations and easy to use UI. Prometheus - Datadog Integration are more in number than, simple installation process Incentivized Helpful? Verified User Anonymous Chose Datadog We are still trying other products, but people still like Datadog. After setting up a dashboard, it's great for monitoring instances on Datadog. Also, the DevOps team had a good time setting up Datadog. It means Datadog was way easier to set up compared to those others. Incentivized Helpful? Mariano Koldobsky Project Leader Chose Datadog I have only used Datadog Incentivized Helpful? Verified User Anonymous Chose Datadog The pricing, the customer service and it most importantly it does the job we expect. Incentivized Helpful? Kevin Van Heusen Software Architect Chose Datadog Geckoboard has nice dashboard options, however their third party system support isn't as strong as Datadog. Geckoboard did not support all the various server and development systems we use, whereas Datadog did. Also, Datadog has better alerting and monitoring options than … Incentivized Helpful? Deepshikha Gandhi DevOps Engineer Chose Datadog Datadog empowers us to create dashboards and visualize the state of our infrastructure in real time. It gives us control over what we want to view and how. The graphs provide deep insight into trends and anamoly detectives. These features are lacking in some of the other … Incentivized Helpful?	Jellyfish Verified User Anonymous Chose Jellyfish GitHub provided a lot of issues for us from an end-user point of view. Overall, Jellyfish is more intuitive; although it does come with its struggles and downfalls, these are something that just takes time to figure out. GitHub was more focused on developing metrics ONLY, and a … Incentivized Helpful? Verified User Anonymous Chose Jellyfish The really cool thing about Jellyfish is the integrations that it has with the other tools, which are also very common within the software development industry. Consolidating all this data and being able to see graphs, numbers, and percentages in one place gives you a better … Incentivized Helpful?

Best Alternatives
	Datadog	Jellyfish
Small Businesses	InfluxDB Score 8.8 out of 10	GitLab Score 8.7 out of 10
Medium-sized Companies	Sumo Logic Score 9.4 out of 10	GitLab Score 8.7 out of 10
Enterprises	NetBrain Technologies Score 9.2 out of 10	GitLab Score 8.7 out of 10
All Alternatives	View all alternatives	View all alternatives

User Ratings
	Datadog	Jellyfish
Likelihood to Recommend	9.0 (0 ratings)	8.3 (0 ratings)
Usability	10.0 (0 ratings)	- (0 ratings)
Support Rating	8.9 (0 ratings)	- (0 ratings)

User Testimonials
	Datadog	Jellyfish
Likelihood to Recommend	A one-stop solution for everything you need. Multiple functionalities are tailored to meet specific business needs. Logs are essential for any business, and Datadog manages logs effectively. Rum sessions are something new to me and have given us a new perspective on how to reverse engineer issues that we see for our customers. Incentivized Verified User Anonymous Read full review	I really recommend using Jellyfish; if this is something that your company is looking for, definitely give it a try. The Jellyfish team is also very responsive and supportive while updating, changing, or modifying required data. Having metrics from different tools in one place is very useful, especially when you have several engineering teams. Incentivized Verified User Anonymous Read full review
Pros	Create Dashboards as per application, environments, and Custom metrics in one panel. Log aggregation, one-stop Application monitoring tools for the whole infrastructure. Playbooks, SLA definition, success and error quotas, request visualizations. DB monitoring, Serverless stack monitoring. Alerting of Production incidents so we can quickly resolve the issues on time. Incentivized Aman Makwana DevOps Engineer Read full review	Integration with JIRA. Integration with GitHub. Friendly UI. Easy to read. Incentivized Verified User Anonymous Read full review
Cons	Alert windows cause lag in notifications (e.g. if the alert window is X errors in 1 hour, we won't get alerted until the end of the 1 hour range) I would appreciate more supportive examples for how to filter and view metrics in the explorer I would like a more clear interface for metrics that are missing in a time frame, rather than only showing tags/etc. for metrics that were collected within the currently viewed time frame Incentivized Verified User Anonymous Read full review	UI and navigation aren't very intuitive and require additional research before being able to use. The individual developer metrics are not very useful and make the interface feel cluttered. Overall, it takes time for the end-user to truly learn how to use the platform and navigate. There is so much information/data available that although the above is a con, we felt it still made sense, despite the learning curve. Incentivized Verified User Anonymous Read full review
Usability	Datadog's user interface is quite friendly and easy to navigate. With menus clearly categorized, and ability to bookmark important dashboards, one can easily find what they're looking for. For dashboards, ability to move and resize visualizations and group them, is really helpful to organize dashboards. Automatic suggestions from Datadog for important visualizations based on the metrics and logs would provide another level of ease of use. Incentivized Verified User Anonymous Read full review	No answers on this topic
Support Rating	The support team usually gets it right. We did have a rather complicate issue setting up monitoring on a domain controller. However, they are usually responsive and helpful over chat. The downside would be I don’t think they have any phone support. If that is important to you this might not be a good fit. Incentivized Verified User Anonymous Read full review	No answers on this topic
Alternatives Considered	I selected Datadog because of its features and the wide range of integration support. As I already told it supports more that 600+ integrations which helps and organization to keep everything in a single place and also its AI feature which is reducing the time for root cause analysis. Its custom dashboards features which helps us to visualize the data in a more attractive way. Incentivized Verified User Anonymous Read full review	GitHub provided a lot of issues for us from an end-user point of view. Overall, Jellyfish is more intuitive; although it does come with its struggles and downfalls, these are something that just takes time to figure out. GitHub was more focused on developing metrics ONLY, and a lot of these metrics were black and white, which resulted in a failure to analyze the bigger picture. GitHub's metrics were mostly unreliable. After using Jellyfish for the past 2ish years, we love it so much better. Despite the learning curve to understand how to use the interface, overall, this provides so much more insights and analytics in a way that allows us to be strategic with our business goals. Incentivized Verified User Anonymous Read full review
Return on Investment	Saved us (time & money) from developing our own monitoring utilities that would pale in comparison Alerts allow us to remedy issues before our customers even know about them Tracking resource usage over time allows us to better plan for future needs, before it becomes a pain-point. Incentivized Verified User Anonymous Read full review	Easy setup and takes time to learn, but overall easy to use one you get the hang of it. Strategic roadmapping. Return on Investment increased. Incentivized Verified User Anonymous Read full review
ScreenShots	Datadog Screenshots