InfluxDB vs. New Relic

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
InfluxDB
Score 8.8 out of 10
N/A
The InfluxDB is a time series database from InfluxData headquartered in San Francisco. As an observability solution, it is designed to provide real-time visibility into stacks, sensors and systems. It is available open source, via the Cloud as a DBaaS option, or through an Enterprise subscription.N/A
New Relic
Score 7.9 out of 10
N/A
New Relic is a SaaS-based web and mobile application performance management provider for the cloud and the datacenter. They provide code-level diagnostics for dedicated infrastructures, the cloud, or hybrid environments and real time monitoring.
$0
No credit card required; 100 GB free ingest per month, 1 free full user + unlimited basic users, 8 days retention, 100 Synthetics Checks
Pricing
InfluxDBNew Relic
Editions & Modules
No answers on this topic
Free (Forever)
$0
No credit card required; 100 GB free ingest per month, 1 free full user + unlimited basic users, 8 days retention, 100 Synthetics Checks
Telemetry Data Platform
$0.25
per month per extra GB data ingest (after first free 100GB per month)
Incident Intelligence
$0.50
per month per event (after first 1000 free events per month)
Standard
$99
per month per full user (after first free full user - unlimited free basic users)
Pro
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Enterprise
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Offerings
Pricing Offerings
InfluxDBNew Relic
Free Trial
NoNo
Free/Freemium Version
NoYes
Premium Consulting/Integration Services
NoNo
Entry-level Setup FeeNo setup feeNo setup fee
Additional Details
More Pricing Information
Community Pulse
InfluxDBNew Relic
Considered Both Products
InfluxDB
Chose InfluxDB
InfluxDB is much easier to initially setup and scale compared to Graphite (now known as Whisper). With a smaller team we found Graphite too much overhead that would make operational support a significant blocker or generation of technical debt.
New Relic

No answer on this topic

Best Alternatives
InfluxDBNew Relic
Small Businesses

No answers on this topic

InfluxDB
InfluxDB
Score 8.8 out of 10
Medium-sized Companies

No answers on this topic

Logz.io
Logz.io
Score 7.0 out of 10
Enterprises

No answers on this topic

NetBrain Technologies
NetBrain Technologies
Score 9.2 out of 10
All AlternativesView all alternativesView all alternatives
User Ratings
InfluxDBNew Relic
Likelihood to Recommend
9.0
(0 ratings)
6.6
(0 ratings)
Likelihood to Renew
9.1
(0 ratings)
9.0
(0 ratings)
Usability
-
(0 ratings)
8.9
(0 ratings)
Availability
-
(0 ratings)
9.1
(0 ratings)
Performance
-
(0 ratings)
8.2
(0 ratings)
Support Rating
9.0
(0 ratings)
7.5
(0 ratings)
Implementation Rating
-
(0 ratings)
8.0
(0 ratings)
Configurability
-
(0 ratings)
9.1
(0 ratings)
Ease of integration
-
(0 ratings)
9.1
(0 ratings)
Product Scalability
-
(0 ratings)
9.1
(0 ratings)
Vendor post-sale
-
(0 ratings)
9.1
(0 ratings)
Vendor pre-sale
-
(0 ratings)
7.3
(0 ratings)
User Testimonials
InfluxDBNew Relic
Likelihood to Recommend
InfluxDB is a time series database and should be used in that intent. Each data ingestion streams should be properly configured to ensure optimal database performance. InfluxDB works very well but like any other databases requires maintenance and tuning. We have been using the TICK stack and are very happy with the results.
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It is perfect for observing our energy platforms during high-load situations, such as grid demand spikes, or our real-time ingest of sensor data, allowing us to respond in real time to anomalies. And it’s a good way to monitor API performance in client dashboards, too. But it’s not as conducive for low-budget/low-code work or deep customization that doesn’t get ample development support given its complexity and expense.
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Pros
  • Time series data
  • Very fast queries
  • Many options to configure and tune database
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  • Capturing Front end Metrics specially web vitals and setting up alerts for violations really helps.
  • NRQL is great tool to fetch the data you need. With queries you can pull the data and put the data by table or by chart. You can even trend graphs and create dashboards.
  • Synthetic Monitoring is very helpful for proactive monitoring. You can use it for user journeys by using scripted browser monitor type or just check availability using PING type.
  • ASk AI is great addition that can fetch details you need with natuaral language
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Cons
  • Small, but growing community - This database engine's community is much smaller than alternatives. This can make finding a DBA or support less easy, but not impossible.
  • Documentation could be improved - The docs for getting started don't effectively lead first-time users to understand how the underlying systems are designed.
  • Performance Analysis - There seems to be a lack of tools to give context to slow queries or other performance issues
  • Out-of-the-box security - The out of the box security is designed to operate in an internal network and is limited.
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  • Support for SQL like query with more functional features of analysis while viewing distributed tracing.
  • support for very low level specific integration from APIs to classes to functions to piece of code
  • More detailed documentation, as we faced issues while integrating for the first time.
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Likelihood to Renew
InfluxDB is a near perfect product for time series database engines. The relatively small list of cons are heavily outweighed by it's ability to just work and be a very flexible and powerful database engine. The community and support provided by the corporation are the only areas I have little experience.
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I have not yet found any similar product that offers me this range of features to help us keep our online service fast and reliable. Besides this, New Relic is constantly evolving by adding new plugins to emerging technologies and platforms. Server performance measuring features are a key point as our user database grows.
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Usability
No answers on this topic
New Relic helps in observability setup for the critical environments and getting known about the issues and troubleshoot the applications and services. Alerts helps in knowing the abnormal state of the system and services, Dashboards are used for visualizing the key metrics and muting the unwanted notifications and dropping the extra data from the source.
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Reliability and Availability
No answers on this topic
Never observed an outage
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Performance
No answers on this topic
Always responsive. Never observed slow page loads
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Support Rating
We have worked with the InfluxDB support team a few times so far and it has been positive. Issues submitted are worked on promptly and we have good feedback.
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The support team has been really helpful and resolved most of the issues on time. However, for a couple of issues, several follow-ups were needed to elicit a reasonable response. The issue was deeply technical and could have been investigated only by their Architects, and bringing them into the ticket took longer than needed
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Implementation Rating
No answers on this topic
The documentation was clear and concise; the only issue we ran into was custom application naming. Due to HTTPD mod_fcgid and the need for the application name to be set in php.ini (not in .htaccess or the virtual host directive) ... we had issues setting this up.
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Alternatives Considered
We have looked around to find different options we had when we first started to move to cloud. At that time, the options we had is Google Cloud BigTable and InfluxDB. But quickly we realized that InfluxDB is the database specialized in time series database and performs better than other options we have.
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Its covers all the observability aspects as well as giving us more competitive pricing models compared to other providers that's why I like to use New Relic in place of other tools. And also it introduces new Agentic AI features as well as it adopts AI in its RCA. As an observability tool it should reduce the RCA of any problem and New Relic is continuously focusing on that that's why I am preferring New Relic in place of other tools.
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Scalability
No answers on this topic
Agent deployment is easily integrated into our workflow. Adding the agent to new servers is quick and painless
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Return on Investment
  • Provided us a time series DB.
  • With the SQL-like language, it is very easy to learn.
  • Empowered us to keep track of our events.
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  • We were able to quickly identify our most time consuming APIs. In some cases we were able to bring down times for some apis from 4s to 200ms.
  • We were able to identify our slowest database queries and optimize them for quicker response times.
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