Alternatives to Adobe Analytics logo

Alternatives to Adobe Analytics

Google Analytics, Tableau, Amplitude, Power BI, and Splunk are the most popular alternatives and competitors to Adobe Analytics.
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What is Adobe Analytics and what are its top alternatives?

It is a web analytics service used in the measurement, collection, analysis and reporting of web data for purposes of understanding and optimizing web usage. It makes hard things easy. Its AI and machine learning brings hidden opportunities and answers to everyone with the click of a button.
Adobe Analytics is a tool in the General Analytics category of a tech stack.

Top Alternatives to Adobe Analytics

  • Google Analytics
    Google Analytics

    Google Analytics lets you measure your advertising ROI as well as track your Flash, video, and social networking sites and applications. ...

  • Tableau
    Tableau

    Tableau can help anyone see and understand their data. Connect to almost any database, drag and drop to create visualizations, and share with a click. ...

  • Amplitude
    Amplitude

    Amplitude provides scalable mobile analytics that helps companies leverage data to create explosive user growth. Anyone in the company can use Amplitude to pinpoint the most valuable behavioral patterns within hours. ...

  • Power BI
    Power BI

    It aims to provide interactive visualizations and business intelligence capabilities with an interface simple enough for end users to create their own reports and dashboards. ...

  • Splunk
    Splunk

    It provides the leading platform for Operational Intelligence. Customers use it to search, monitor, analyze and visualize machine data. ...

  • Mixpanel
    Mixpanel

    Mixpanel helps companies build better products through data. With our powerful, self-serve product analytics solution, teams can easily analyze how and why people engage, convert, and retain to improve their user experience. ...

  • Adobe Target
    Adobe Target

    A/B and multivariate testing. Personalization. AI-powered automation at scale. Testing and personalization with features that optimize, automate, and predict the best experiences for your audiences. ...

  • Adobe Experience Manager
    Adobe Experience Manager

    It is a Web Content Management System that allows companies to manage their web content (Web pages, digital assets, forms, etc) and also create digital experiences with this content on any platform web, mobile or IoT. ...

Adobe Analytics alternatives & related posts

Google Analytics logo

Google Analytics

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48.7K
5K
Enterprise-class web analytics.
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PROS OF GOOGLE ANALYTICS
  • 1.5K
    Free
  • 926
    Easy setup
  • 890
    Data visualization
  • 698
    Real-time stats
  • 405
    Comprehensive feature set
  • 181
    Goals tracking
  • 154
    Powerful funnel conversion reporting
  • 138
    Customizable reports
  • 83
    Custom events try
  • 53
    Elastic api
  • 14
    Updated regulary
  • 8
    Interactive Documentation
  • 3
    Google play
  • 2
    Industry Standard
  • 2
    Advanced ecommerce
  • 2
    Walkman music video playlist
  • 1
    Medium / Channel data split
  • 1
    Irina
  • 1
    Financial Management Challenges -2015h
  • 1
    Lifesaver
  • 1
    Easy to integrate
CONS OF GOOGLE ANALYTICS
  • 11
    Confusing UX/UI
  • 8
    Super complex
  • 6
    Very hard to build out funnels
  • 4
    Poor web performance metrics
  • 3
    Very easy to confuse the user of the analytics
  • 2
    Time spent on page isn't accurate out of the box

related Google Analytics posts

Alex Step

We used to use Google Analytics to get audience insights while running a startup and we are constantly doing experiments to lear our users. We are a small team and we have a lack of time to keep up with trends. Here is the list of problems we are experiencing: - Analytics takes too much time - We have enough time to regularly monitor analytics - Google Analytics interface is too advanced and complicated - It's difficult to detect anomalies and trends in GA

We considered other solutions on a market, but found 2 main issues: - The solution created for analytic experts - The solution is pretty expensive and non-automated

After learning this fact we decided to create AI-powered Slack bot to analyze Google Analytics and share trends. The bot is currently working and highlights trends for us.

We are thinking about publishing this solution as a SaaS. If you are interested in automating Google Analytics analysis, drop a comment and you'll get an early access.

We will implement this solution only if we have 20+ early adaptors. Leave a message with your thought. I appreciate any feedback.

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Tim Specht
‎Co-Founder and CTO at Dubsmash · | 14 upvotes · 973.6K views

In order to accurately measure & track user behaviour on our platform we moved over quickly from the initial solution using Google Analytics to a custom-built one due to resource & pricing concerns we had.

While this does sound complicated, it’s as easy as clients sending JSON blobs of events to Amazon Kinesis from where we use AWS Lambda & Amazon SQS to batch and process incoming events and then ingest them into Google BigQuery. Once events are stored in BigQuery (which usually only takes a second from the time the client sends the data until it’s available), we can use almost-standard-SQL to simply query for data while Google makes sure that, even with terabytes of data being scanned, query times stay in the range of seconds rather than hours. Before ingesting their data into the pipeline, our mobile clients are aggregating events internally and, once a certain threshold is reached or the app is going to the background, sending the events as a JSON blob into the stream.

In the past we had workers running that continuously read from the stream and would validate and post-process the data and then enqueue them for other workers to write them to BigQuery. We went ahead and implemented the Lambda-based approach in such a way that Lambda functions would automatically be triggered for incoming records, pre-aggregate events, and write them back to SQS, from which we then read them, and persist the events to BigQuery. While this approach had a couple of bumps on the road, like re-triggering functions asynchronously to keep up with the stream and proper batch sizes, we finally managed to get it running in a reliable way and are very happy with this solution today.

#ServerlessTaskProcessing #GeneralAnalytics #RealTimeDataProcessing #BigDataAsAService

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Tableau logo

Tableau

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Tableau helps people see and understand data.
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PROS OF TABLEAU
  • 6
    Capable of visualising billions of rows
  • 1
    Intuitive and easy to learn
  • 1
    Responsive
CONS OF TABLEAU
  • 2
    Very expensive for small companies

related Tableau posts

Looking for the best analytics software for a medium-large-sized firm. We currently use a Microsoft SQL Server database that is analyzed in Tableau desktop/published to Tableau online for users to access dashboards. Is it worth the cost savings/time to switch over to using SSRS or Power BI? Does anyone have experience migrating from Tableau to SSRS /or Power BI? Our other option is to consider using Tableau on-premises instead of online. Using custom SQL with over 3 million rows really decreases performances and results in processing times that greatly exceed our typical experience. Thanks.

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Shared insights
on
TableauTableauQlikQlikPowerBIPowerBI

Hello everyone,

My team and I are currently in the process of selecting a Business Intelligence (BI) tool for our actively developing company, which has over 500 employees. We are considering open-source options.

We are keen to connect with a Head of Analytics or BI Analytics professional who has extensive experience working with any of these systems and is willing to share their insights. Ideally, we would like to speak with someone from companies that have transitioned from proprietary BI tools (such as PowerBI, Qlik, or Tableau) to open-source BI tools, or vice versa.

If you have any contacts or recommendations for individuals we could reach out to regarding this matter, we would greatly appreciate it. Additionally, if you are personally willing to share your experiences, please feel free to reach out to me directly. Thank you!

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Amplitude logo

Amplitude

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User analytics to fuel explosive user growth
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PROS OF AMPLITUDE
  • 11
    Great for product managers
  • 8
    Easy setup
  • 6
    Efficient analysis
  • 2
    Behavioral cohorts
  • 2
    Event streams for individual users
  • 2
    Chart edits get their own URLs
  • 2
    Free for up to 10M user actions per month
  • 1
    Fast
  • 1
    Great UI
  • 1
    Engagement Matrix is super helpful
CONS OF AMPLITUDE
  • 4
    Super expensive once you're past the free plan

related Amplitude posts

Jesus Dario Rivera Rubio
Telecomm Engineering at Netbeast · | 15 upvotes · 442.3K views

This time I want to share something different. For those that have read my stack decisions, it's normal to expect some advice on infrastructure or React Native. Lately my mind has been focusing more on product as a experience than what's it made of (anatomy). As a tech leader, I have to worry about things like: are we taking enough time for reviews? Are we improving over time? Are we faster now? Is our code of higher quality?

For all these questions you can add many great recommendations on your pipeline. We use Trello for bug-tracking and project management. We use https://danger.systems/js/ to add checks for linting, type-enforcing and other quality dimensions in our PRs and a great feature from Vercel that let's you previsualize deployments directly in a PR. However it's not easy to measure this improvements over time. For customer matters we have Amplitude or Firebase analytics, but for our internal process? That's a little bit more complicated.

I collaborated recently with some folks in a small startup as an early adopter to create a metrics dashboard for engineers. I tried to add the tool to stackshare.io but still it doesn't appear as one of the options, please take a look on it over product hunt and let us know https://www.producthunt.com/posts/scope-6

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Robert Zuber

Our primary source of monitoring and alerting is Datadog. We’ve got prebuilt dashboards for every scenario and integration with PagerDuty to manage routing any alerts. We’ve definitely scaled past the point where managing dashboards is easy, but we haven’t had time to invest in using features like Anomaly Detection. We’ve started using Honeycomb for some targeted debugging of complex production issues and we are liking what we’ve seen. We capture any unhandled exceptions with Rollbar and, if we realize one will keep happening, we quickly convert the metrics to point back to Datadog, to keep Rollbar as clean as possible.

We use Segment to consolidate all of our trackers, the most important of which goes to Amplitude to analyze user patterns. However, if we need a more consolidated view, we push all of our data to our own data warehouse running PostgreSQL; this is available for analytics and dashboard creation through Looker.

See more
Power BI logo

Power BI

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Empower team members to discover insights hidden in your data
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PROS OF POWER BI
  • 18
    Cross-filtering
  • 2
    Powerful Calculation Engine
  • 2
    Access from anywhere
  • 2
    Intuitive and complete internal ETL
  • 2
    Database visualisation
  • 1
    Azure Based Service
CONS OF POWER BI
    Be the first to leave a con

    related Power BI posts

    Looking for the best analytics software for a medium-large-sized firm. We currently use a Microsoft SQL Server database that is analyzed in Tableau desktop/published to Tableau online for users to access dashboards. Is it worth the cost savings/time to switch over to using SSRS or Power BI? Does anyone have experience migrating from Tableau to SSRS /or Power BI? Our other option is to consider using Tableau on-premises instead of online. Using custom SQL with over 3 million rows really decreases performances and results in processing times that greatly exceed our typical experience. Thanks.

    See more

    Which among the two, Kyvos and Azure Analysis Services, should be used to build a Semantic Layer?

    I have to build a Semantic Layer for the data warehouse platform and use Power BI for visualisation and the data lies in the Azure Managed Instance. I need to analyse the two platforms and find which suits best for the same.

    See more
    Splunk logo

    Splunk

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    Search, monitor, analyze and visualize machine data
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    PROS OF SPLUNK
    • 3
      API for searching logs, running reports
    • 3
      Alert system based on custom query results
    • 2
      Splunk language supports string, date manip, math, etc
    • 2
      Dashboarding on any log contents
    • 2
      Custom log parsing as well as automatic parsing
    • 2
      Query engine supports joining, aggregation, stats, etc
    • 2
      Rich GUI for searching live logs
    • 2
      Ability to style search results into reports
    • 1
      Granular scheduling and time window support
    • 1
      Query any log as key-value pairs
    CONS OF SPLUNK
    • 1
      Splunk query language rich so lots to learn

    related Splunk posts

    Shared insights
    on
    SplunkSplunkDjangoDjango

    I am designing a Django application for my organization which will be used as an internal tool. The infra team said that I will not be having SSH access to the production server and I will have to log all my backend application messages to Splunk. I have no knowledge of Splunk so the following are the approaches I am considering: Approach 1: Create an hourly cron job that uploads the server log file to some Splunk storage for later analysis. - Is this possible? Approach 2: Is it possible just to stream the logs to some splunk endpoint? (If yes, I feel network usage and communication overhead will be a pain-point for my application)

    Is there any better or standard approach? Thanks in advance.

    See more
    Shared insights
    on
    KibanaKibanaSplunkSplunkGrafanaGrafana

    I use Kibana because it ships with the ELK stack. I don't find it as powerful as Splunk however it is light years above grepping through log files. We previously used Grafana but found it to be annoying to maintain a separate tool outside of the ELK stack. We were able to get everything we needed from Kibana.

    See more
    Mixpanel logo

    Mixpanel

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    Powerful, self-serve product analytics to help you convert, engage, and retain more users
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    PROS OF MIXPANEL
    • 144
      Great visualization ui
    • 108
      Easy integration
    • 78
      Great funnel funcionality
    • 58
      Free
    • 22
      A wide range of tools
    • 15
      Powerful Graph Search
    • 11
      Responsive Customer Support
    • 2
      Nice reporting
    CONS OF MIXPANEL
    • 2
      Messaging (notification, email) features are weak
    • 2
      Paid plans can get expensive
    • 1
      Limited dashboard capabilities

    related Mixpanel posts

    Max Musing
    Founder & CEO at BaseDash · | 8 upvotes · 352.2K views

    Functionally, Amplitude and Mixpanel are incredibly similar. They both offer almost all the same functionality around tracking and visualizing user actions for analytics. You can track A/B test results in both. We ended up going with Amplitude at BaseDash because it has a more generous free tier for our uses (10 million actions per month, versus Mixpanel's 1000 monthly tracked users).

    Segment isn't meant to compete with these tools, but instead acts as an API to send actions to them, and other analytics tools. If you're just sending event data to one of these tools, you probably don't need Segment. If you're using other analytics tools like Google Analytics and FullStory, Segment makes it easy to send events to all your tools at once.

    See more
    Yasmine de Aranda
    Chief Growth Officer at Huddol · | 7 upvotes · 371.2K views

    Hi there, we are a seed-stage startup in the personal development space. I am looking at building the marketing stack tool to have an accurate view of the user experience from acquisition through to adoption and retention for our upcoming React Native Mobile app. We qualify for the startup program of Segment and Mixpanel, which seems like a good option to get rolling and scale for free to learn how our current 60K free members will interact in the new subscription-based platform. I was considering AppsFlyer for attribution, and I am now looking at an affordable yet scalable Mobile Marketing tool vs. building in-house. Braze looks great, so does Leanplum, but the price points are 30K to start, which we can't do. I looked at OneSignal, but it doesn't have user flow visualization. I am now looking into Urban Airship and Iterable. Any advice would be much appreciated!

    See more
    Adobe Target logo

    Adobe Target

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    Test and optimize digital experiences
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    PROS OF ADOBE TARGET
      Be the first to leave a pro
      CONS OF ADOBE TARGET
        Be the first to leave a con

        related Adobe Target posts

        Adobe Experience Manager logo

        Adobe Experience Manager

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        A comprehensive content management solution for building websites, mobile apps and forms
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        PROS OF ADOBE EXPERIENCE MANAGER
          Be the first to leave a pro
          CONS OF ADOBE EXPERIENCE MANAGER
            Be the first to leave a con

            related Adobe Experience Manager posts

            Jessica Hutson
            Director of Technology at University of Phoenix · | 8 upvotes · 49.3K views

            I'm looking to integrate a CDP into our Martech and eventually throughout the organization. We're starting to evaluate Segment, Tealium , and Adobe Experience Manager. Does anyone have experience with these tools? How easy was the onboarding/selection process? Was it challenging to explain the difference between DMP and CDP with leadership?

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            Hi Everyone, We are looking at creating a reseller website for a customer. Do you have any recommendations on whether we should use WordPress vs Adobe Experience Manager? Our primary considerations are ease of use and a quick development time. And of course, the licensing cost.

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