Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Harness
Score 8.1 out of 10
N/A
Harness, from the company of the same name in San Francisco, is a Continuous Delivery-as-a-Service platform designed to provide a simple, safe and secure way for engineering and DevOps teams to release applications into production. Founded in 2016, Harness uses machine learning to detect the quality of deployments and automatically roll back failed ones, saving time and reducing the need for custom scripting and manual oversight.N/A
LaunchDarkly
Score 7.7 out of 10
N/A
LaunchDarkly provides a feature management platform that enables DevOps and Product teams to use feature flags at scale. This allows for greater collaboration among team members, and increased usability testing before full-scale feature deployment.
$12
per month
Sprig
Score 8.3 out of 10
N/A
Sprig (formerly UserLeap) headquartered in San Francisco offers user research technology that helps research and product teams learn from their customers in real-time and deliver product experiences. Sprig is used to ensure user research happens early and often throughout the product development process, so as to build customer-centric products that deliver a sustainable competitive advantage. The research platform enables teams to pull the customer into every product decision with fast and…
$175
per month
Pricing
HarnessLaunchDarklySprig
Editions & Modules
No answers on this topic
Foundation
$12
per month per Service Connection per month, or $10 per 1k client-side MAU per mo
Enterprise
Custom
Guardian
Custom
Free
$0
per month
Starter
$175
per month
Enterprise
Custom Pricing
per year
Offerings
Pricing Offerings
HarnessLaunchDarklySprig
Free Trial
YesYesYes
Free/Freemium Version
NoNoYes
Premium Consulting/Integration Services
NoYesNo
Entry-level Setup FeeNo setup feeOptionalNo setup fee
Additional DetailsDiscount available on the Foundation plan for annual pricing.
More Pricing Information
Community Pulse
HarnessLaunchDarklySprig
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User Ratings
HarnessLaunchDarklySprig
Likelihood to Recommend
-
(0 ratings)
10.0
(28 ratings)
8.5
(2 ratings)
Likelihood to Renew
-
(0 ratings)
7.0
(1 ratings)
-
(0 ratings)
Usability
-
(0 ratings)
7.4
(26 ratings)
9.5
(2 ratings)
Availability
-
(0 ratings)
10.0
(1 ratings)
-
(0 ratings)
Performance
-
(0 ratings)
8.1
(26 ratings)
-
(0 ratings)
Support Rating
-
(0 ratings)
10.0
(1 ratings)
8.6
(2 ratings)
Implementation Rating
-
(0 ratings)
9.0
(1 ratings)
-
(0 ratings)
Configurability
-
(0 ratings)
8.0
(1 ratings)
-
(0 ratings)
Ease of integration
-
(0 ratings)
8.0
(1 ratings)
-
(0 ratings)
Product Scalability
-
(0 ratings)
10.0
(1 ratings)
-
(0 ratings)
Vendor post-sale
-
(0 ratings)
8.0
(1 ratings)
-
(0 ratings)
Vendor pre-sale
-
(0 ratings)
10.0
(1 ratings)
-
(0 ratings)
User Testimonials
HarnessLaunchDarklySprig
Likelihood to Recommend
Harness
No answers on this topic
LaunchDarkly
If a new feature should be added but unsure of how it will actually work or how users will accept the new enhancement or change, this tool allows you test and measure initial results. This saves so much time and energy knowing the results before it is deployed and might have low user adoption or acceptance.
Read full review
Sprig
We help our digital team and seo team to optimize the website based on the data we get from the tool which ultimately results in better page views, time spent on a web page & low bounce rate
Read full review
Pros
Harness
No answers on this topic
LaunchDarkly
  • A/B or Multi Variant Testing as a methodology to gather insight from customer usage. Experimentation as a feature within LaunchDarkly offers information around the success of one variant over another and whether the experiment has reached statistical significance.
  • Being able to decouple deployment of code from the release of a feature is hugely valuable.
  • Development teams are empowered to manage features within their production applications for reliability or testing purposes.
Read full review
Sprig
  • User Journeys.
  • User research.
  • Prototyping.
  • Unmoderated testing.
Read full review
Cons
Harness
No answers on this topic
LaunchDarkly
  • Limited number of users on cheaper plans that is limiting our ability to audit log who is making changes.
  • Some of our engineers are confused between flags and segments and have set up items incorrectly.
  • Better documented support for React with Typescript.
Read full review
Sprig
  • Website optimization which helps us generate more leads
  • Increased sales due to tracking & detailed view of our customer journey
  • Reporting & analytics
Read full review
Likelihood to Renew
Harness
No answers on this topic
LaunchDarkly
It fits out business case
Read full review
Sprig
No answers on this topic
Usability
Harness
No answers on this topic
LaunchDarkly
It's very easy to create new feature flags and set them properly. It is more difficult to get LaunchDarkly integrated within a distributed system so that flags can be used. Especially on stateless servers where gating features by user is not easy. Overall though, it is very easy to get started and I like how simple it is to use.
Read full review
Sprig
Sprig is ideal for high-traffic websites. Few people (passively and actively) provide feedback when asked. Therefore, before you get this tool, you need to make sure you measure your website's traffic and decide if it's worth investing in it. This tool is recommended for any e-commerce site for post-purchase research after the purchase is complete.
Read full review
Reliability and Availability
Harness
No answers on this topic
LaunchDarkly
No issue with availability at all
Read full review
Sprig
No answers on this topic
Performance
Harness
No answers on this topic
LaunchDarkly
From what I have seen, LaunchDarkly integrates well with your code and also services you might have in your tech ecosystem. We use Jenkins for automation and we were able to use it to build pipelines to automate the control of LaunchDarkly toggles in our code.
Read full review
Sprig
No answers on this topic
Support Rating
Harness
No answers on this topic
LaunchDarkly
The overall support is very responsive
Read full review
Sprig
I never have the problem with the support team. They solve my problems on time
Read full review
Implementation Rating
Harness
No answers on this topic
LaunchDarkly
Yes I do.
Read full review
Sprig
No answers on this topic
Alternatives Considered
Harness
No answers on this topic
LaunchDarkly
LaunchDarkly stood out to us because it put control of the application within the hands of our engineers. We didn't want to allow business users to manipulate the production site via a third-party tool. Instead, our focus was on delivering faster as an engineering team.
Read full review
Sprig
Sprig allows users to record video (either on their screen or their webcam) on their mobile devices. Once you have integrated it into your website, you can easily deploy any questionnaire on any page of your website.
Read full review
Scalability
Harness
No answers on this topic
LaunchDarkly
The platform didn't go down since we implemented it
Read full review
Sprig
No answers on this topic
Return on Investment
Harness
No answers on this topic
LaunchDarkly
  • Improved developer experience with some teams moving to Trunk-based Development.
  • Increased deployment frequency due to smaller code releases.
  • Validation of the technical and business value of work is achieved more quickly through smaller pieces of work and through experimenting with a small group of users before a feature gets to 100% of customers.
Read full review
Sprig
  • It is good and does the work properly as promised
  • User interface is modern
  • No lag and frequent maintenance updates
Read full review
ScreenShots

Harness Screenshots

Screenshot of Harness

LaunchDarkly Screenshots

Screenshot of regression detection and automated incident response at the feature level. This connects critical metrics to the release process so that every change is monitored - even the smallest releases, where issues would previously have been obscured by noise in the wider system metrics.Screenshot of where track the progression of a feature flag across a series of phases, where each phase consists of one or more environments.Screenshot of how to target groups of contexts individually or by attribute. Contexts are people, services, machines, or other resources that encounter feature flags in a product.Screenshot of where to design experiments that measure business-critical user flows and provide results specific to those product funnels, and measure multi-step user journeys. This is used to determine whether conversions are succeeding, with all metrics visible in one place.

Sprig Screenshots

Screenshot of In-product SurveysScreenshot of ReplaysScreenshot of Prototype TestsScreenshot of AI Analysis