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Coremetrics / IBM Digital Analytics (discontinued) vs. LaunchDarkly

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    Overview
    ProductRatingMost Used ByProduct SummaryStarting Price

    Coremetrics / IBM Digital Analytics (discontinued)

    Score9.1 out of 10
    N/ABased on the former Coremetrics, IBM Digital Analytics is a discontinued analytics product. IBM acquired Coremetrics in 2010, and re-branded the platform to the IBM Digital Marketing Optimization Solution. Product support was ultimately provided by Acoustic, but the product is not a part of the company's plans going forward.N/A

    LaunchDarkly

    Score8.7 out of 10
    N/ALaunchDarkly 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

    Pricing
    Coremetrics / IBM Digital Analytics (discontinued)LaunchDarkly
    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
    Offerings
    Pricing Offerings
    Coremetrics / IBM Digital Analytics (discontinued)LaunchDarkly
    Free Trial
    NoYes
    Free/Freemium Version
    NoNo
    Premium Consulting/Integration Services
    NoYes
    Entry-level Setup FeeNo setup feeOptional
    Additional Details—Discount available on the Foundation plan for annual pricing.
    More Pricing Information
    Community Pulse
    Coremetrics / IBM Digital Analytics (discontinued)LaunchDarkly
    Considered Both Products
    Discontinued Products
    No answer on this topic
    LaunchDarkly
    No answer on this topic
    Key User Insights
    Would buy again
    No answers on this topic
    93%
    Would buy again
    26 Answers
    Delivers good value for the price
    No answers on this topic
    91%
    Delivers good value for the price
    21 Answers
    Happy with the feature set
    No answers on this topic
    100%
    Happy with the feature set
    28 Answers
    Lived up to sales and marketing promises
    No answers on this topic
    95%
    Lived up to sales and marketing promises
    18 Answers
    Implementation went as expected
    No answers on this topic
    88%
    Implementation went as expected
    21 Answers
    Best Alternatives
    Coremetrics / IBM Digital Analytics (discontinued)LaunchDarkly
    Small Businesses
    Matomo Analytics
    Score9 out of 10
    No answers on this topic
    Medium-sized Companies
    Lead Forensics
    Score8.9 out of 10
    No answers on this topic
    Enterprises
    Chartbeat
    Score9.2 out of 10
    No answers on this topic
    All AlternativesView all alternativesView all alternatives
    User Ratings
    Coremetrics / IBM Digital Analytics (discontinued)LaunchDarkly
    Likelihood to Recommend
    7.0
    (24 ratings)
    8.0
    (29 ratings)
    Likelihood to Renew
    5.8
    (18 ratings)
    7.0
    (1 ratings)
    Usability
    9.0
    (1 ratings)
    9.0
    (27 ratings)
    Availability
    10.0
    (1 ratings)
    10.0
    (1 ratings)
    Performance
    8.0
    (1 ratings)
    8.1
    (26 ratings)
    Support Rating
    2.3
    (4 ratings)
    10.0
    (1 ratings)
    Online Training
    7.1
    (2 ratings)
    -
    (0 ratings)
    Implementation Rating
    9.9
    (2 ratings)
    9.0
    (1 ratings)
    Configurability
    8.0
    (1 ratings)
    8.0
    (1 ratings)
    Ease of integration
    -
    (0 ratings)
    8.0
    (1 ratings)
    Product Scalability
    9.0
    (1 ratings)
    10.0
    (1 ratings)
    Vendor post-sale
    -
    (0 ratings)
    8.0
    (1 ratings)
    Vendor pre-sale
    -
    (0 ratings)
    10.0
    (1 ratings)
    User Testimonials
    Coremetrics / IBM Digital Analytics (discontinued)LaunchDarkly
    Likelihood to Recommend
    Discontinued Products
    IBM analytics has continued to improve upon the days of being the original core metrics. After using the updated version for quite some time, it has been great at providing the needed analytics to measure ROI and goal performance for our quarterly KPI's. It has resulted in a great increase in web engagements although we are a midsize company, smaller outfits may not need such an expensive option.
    Incentivized
    Read full review
    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.
    Incentivized
    Read full review
    Pros
    Discontinued Products
    • IBM CXA comprises an acquisition called Tealeaf. This tool has deep heritage and this is evident in its present-day capabilities.
    • The Universal Behaviour Exchange or UBX puts the concept of personalisation at the forefront. The ability to combine physical (analog) and digital transactions to create the complete picture of a customer journey, is a stand out benefit.
    • The solution does not have to involve the purchase of software. IBM CXA can be sold as a service bundled with analytics as a service. This not only lowers the cost of ownership, it gets around one of the principal issues. Strong staff with design and analytical capability to drive the solution and deliver tangible benefits.
    • The seamless integration of Watson AI services to help with the heavy lifiting. Watson reinforces the analytical focus this solution has and can learn to recognise situations specific to a company.
    Incentivized
    Read full review
    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.
    Incentivized
    Read full review
    Cons
    Discontinued Products
    • The user interface is in Flash, which can be very frustrating and slow at times. Apparently, this is to be transitioned in a future release.
    • Can only segment the last 93 days of data. Any historical segmentation beyond the 93 days must be run in Explore (which is credit based, and has its own limitations with the number of credits per month, based on the initial contract with IBM).
    • Reports can only display 93 days of data at a given time for custom date ranges. There are pre-programmed date ranges setup with IBM during implementation (last week, last month, last quarter etc.), but are not flexible enough to answer more specific questions.
    • Certain reports cannot have segments applied, making answering some simple questions a bit more tricky. For example, I can create a segment around mobile devices and apply it to the marketing channels report, but I can't create a marketing channel segment and apply it to the mobile reports.
    • Built in API calls allows for nice report design and automation.
    Read full review
    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.
    Incentivized
    Read full review
    Likelihood to Renew
    Discontinued Products
    IBM Digital Analytics is a great solution for our clients and I believe they offer the best solution for the retail space. We have access to IBM support via email or live chat and they can answer many of the reporting questions that come up. IBM is receptive to our feedback of the product so I am confident they will continue making improvements
    Read full review
    LaunchDarkly
    It fits out business case
    Incentivized
    Read full review
    Usability
    Discontinued Products
    Very easy to implement and use.
    Read full review
    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.
    Incentivized
    Read full review
    Reliability and Availability
    Discontinued Products
    Never had any issues
    Read full review
    LaunchDarkly
    No issue with availability at all
    Incentivized
    Read full review
    Performance
    Discontinued Products
    As reports are templated, the system is pretty quick. Sometimes you have to wait a bit for a report to render. Or you might have to re-load the page. But there is no real issue here and the system is on par with other similar systems.
    Read full review
    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.
    Incentivized
    Read full review
    Support Rating
    Discontinued Products
    Overall, the level of support is very good and I would say it is a strong asset of the solution. However, you can sometimes feel that there is a difference of level among the support team.
    Read full review
    LaunchDarkly
    The overall support is very responsive
    Incentivized
    Read full review
    Online Training
    Discontinued Products
    Online training is really great. One of the best assets that they have. Lots of great videos, pop quizzes at the end of each module. Fantastic. Other tools have similar features, but not as good.
    Read full review
    LaunchDarkly
    No answers on this topic
    Implementation Rating
    Discontinued Products
    See previous comment: reading and understanding the encyclopedic implementation guide is a must.
    Read full review
    LaunchDarkly
    Yes I do.
    Incentivized
    Read full review
    Alternatives Considered
    Discontinued Products
    Much of the work we did in IBM Digital Analytics could have been answered through Google Analytics, a much simpler, agile and FREE solution set. Not mention, given the vast number of Google Analytics USERS, free and actionable support is simply a click away ... this compared to IBM Digital Analytics fractured and often absent support service.
    Read full review
    LaunchDarkly
    Have used a custom feature flag application created inhouse. All the basic functionality was same as the ones that LaunchDarkly provides. But as time progressed, it required more and more tracking capabilities like which user has turned on/off a feature flag, what are the statuses of different feature flags that are being used across the application etc., So, all and all maintenance of such tracking has become cumbersome.
    Incentivized
    Read full review
    Scalability
    Discontinued Products
    This solution can support large amount of data and transaction. The way that user management features are built, it shows it is meant for large organizations.
    Read full review
    LaunchDarkly
    The platform didn't go down since we implemented it
    Incentivized
    Read full review
    Return on Investment
    Discontinued Products
    • We spend too much time trying to work around bugs on the new UI.
    • We spend too much time trying to figure out how to make certain segments work because support and the knowledge center are lackluster.
    • Our sales rep is very unresponsive and leaves us searching for a lot of answers on our own, including what other products we may benefit from that IBM offers.
    Incentivized
    Read full review
    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.
    Incentivized
    Read full review
    ScreenShots

    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 how LaunchDarkly helps developers compare agent iterations, track key metrics like acceptance, accuracy, latency, and token usage, and safely push the best-performing variation live.Screenshot of the interface used to test prompts side by side, switch between providers like OpenAI, Gemini, and Anthropic, and add custom models or manage API keys.Screenshot of adaptive triggers, which let developers automatically respond to AI performance changes by setting thresholds for metrics like hallucination rate and taking actions such as switching to a stronger model or changing providers.