What is Maze and what are its top alternatives?
Maze is a user testing platform that allows designers and product teams to test and validate product ideas before implementation. It offers features such as creating prototypes, conducting usability tests, and gathering insights from real users. However, Maze is limited in terms of customization options and advanced analysis capabilities.
- UserTesting: UserTesting is a user research platform that provides video recordings of real users interacting with your website or app. Key features include remote testing, live conversations with users, and quantitative feedback. Pros: Real-time insights, diverse panel of testers. Cons: Expensive pricing.
- Optimizely: Optimizely is an experimentation platform that offers A/B testing, personalization, and feature management capabilities. Key features include multivariate testing, audience targeting, and analytics integration. Pros: Powerful experimentation tools, easy to use interface. Cons: Limited free plan.
- Lookback: Lookback is a user research platform that enables remote moderated and unmoderated user testing sessions. Key features include screen recording, highlight reels, and insight tagging. Pros: Flexible pricing, robust recording options. Cons: Limited integrations.
- UserZoom: UserZoom is a UX research platform that offers usability testing, surveys, and analytics tools. Key features include benchmarking studies, remote testing, and journey mapping. Pros: Comprehensive research tools, scalable for enterprise use. Cons: Steep learning curve.
- Validately: Validately is a user testing platform that allows you to recruit participants, conduct usability tests, and analyze feedback. Key features include real-time feedback, task-based testing, and video recordings. Pros: Easy participant recruiting, collaborative analysis tools. Cons: Limited customization options.
- Crazy Egg: Crazy Egg is a heatmapping and A/B testing tool that helps you understand user behavior on your website. Key features include heatmaps, scrollmaps, and user session recordings. Pros: Visual analytics, easy to implement. Cons: Limited experiment capabilities.
- Hotjar: Hotjar is a behavior analytics tool that combines heatmaps, session recordings, and surveys to understand user interactions on your website. Key features include feedback polls, funnels, and form analytics. Pros: All-in-one analytics solution, affordable pricing. Cons: Limited customization options.
- Userlytics: Userlytics is a remote user testing platform that offers video-based testing, surveys, and user experience testing services. Key features include demographic targeting, task-based tests, and competitive benchmarking. Pros: Quick turnaround on tests, diverse tester panel. Cons: Limited advanced analytics.
- TryMyUI: TryMyUI is a user testing platform that provides video recordings and written feedback from real users testing your website or app. Key features include think-aloud protocol, mobile testing, and competitive benchmarking. Pros: Affordable pricing, easy to set up tests. Cons: Limited tester recruitment options.
- Userbrain: Userbrain is a remote user testing tool that offers video recordings of real people interacting with your website. Key features include first-click testing, website feedback, and test management. Pros: Quick and affordable testing, simple and streamlined platform. Cons: Limited customization options.
Top Alternatives to Maze
UserTestingUserTesting provides on-demand usability testing. You create the test and we’ll get the testers. We let you “look over the shoulder” of your target audience while they use your website, so you can see and hear where users get stuck and why they leave. ...
LookbackLookback helps you collect, understand and share user experiences.
Google AnalyticsGoogle Analytics lets you measure your advertising ROI as well as track your Flash, video, and social networking sites and applications. ...
MixpanelMixpanel 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. ...
MatomoIt is a web analytics platform designed to give you the conclusive insights with our complete range of features. You can also evaluate the full user-experience of your visitor’s behaviour with its Conversion Optimization features, including Heatmaps, Sessions Recordings, Funnels, Goals, Form Analytics and A/B Testing. ...
PiwikMatomo (formerly Piwik) is a full-featured PHP MySQL software program that you download and install on your own webserver. At the end of the five-minute installation process, you will be given a JavaScript code. ...
ClickyClicky Web Analytics gives bloggers and smaller web sites a more personal understanding of their visitors. Clicky has various features that helps stand it apart from the competition specifically Spy and RSS feeds that allow web site owners to get live information about their visitors. ...
DatabricksDatabricks Unified Analytics Platform, from the original creators of Apache Spark™, unifies data science and engineering across the Machine Learning lifecycle from data preparation to experimentation and deployment of ML applications. ...
Maze alternatives & related posts
UserTesting
- On-demand2
- Detailed metrics1
related UserTesting posts
related Lookback posts
- Free1.5K
- Easy setup926
- Data visualization890
- Real-time stats698
- Comprehensive feature set405
- Goals tracking181
- Powerful funnel conversion reporting154
- Customizable reports138
- Custom events try83
- Elastic api53
- Updated regulary14
- Interactive Documentation8
- Google play3
- Industry Standard2
- Walkman music video playlist2
- Advanced ecommerce2
- Medium / Channel data split1
- Easy to integrate1
- Financial Management Challenges -2015h1
- Lifesaver1
- Irina1
- Confusing UX/UI11
- Super complex8
- Very hard to build out funnels6
- Poor web performance metrics4
- Very easy to confuse the user of the analytics3
- Time spent on page isn't accurate out of the box2
related Google Analytics posts
This is my stack in Application & Data
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My Utilities Tools
Google Analytics Postman Elasticsearch
My Devops Tools
Git GitHub GitLab npm Visual Studio Code Kibana Sentry BrowserStack
My Business Tools
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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.
Mixpanel
- Great visualization ui144
- Easy integration108
- Great funnel funcionality78
- Free58
- A wide range of tools22
- Powerful Graph Search15
- Responsive Customer Support11
- Nice reporting2
- Messaging (notification, email) features are weak2
- Paid plans can get expensive2
- Limited dashboard capabilities1
related Mixpanel posts
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.
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!
- Updated regulary1
- Goals tracking1
- Self-hosted1
- Open Source1
- Full data control1
- Free1
related Matomo posts
- It's good to have an alternative to google analytics35
- Self-hosted27
- Easy setup10
- Not blocked by Brave2
- Great customs0
- Hard to export data2
related Piwik posts
- Easy setup10
- Tons of detail6
- Cheap5
- Many features5
related Clicky posts
- Best Performances on large datasets1
- True lakehouse architecture1
- Scalability1
- Databricks doesn't get access to your data1
- Usage Based Billing1
- Security1
- Data stays in your cloud account1
- Multicloud1
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From my point of view, both OpenRefine and Apache Hive serve completely different purposes. OpenRefine is intended for interactive cleaning of messy data locally. You could work with their libraries to use some of OpenRefine features as part of your data pipeline (there are pointers in FAQ), but OpenRefine in general is intended for a single-user local operation.
I can't recommend a particular alternative without better understanding of your use case. But if you are looking for an interactive tool to work with big data at scale, take a look at notebook environments like Jupyter, Databricks, or Deepnote. If you are building a data processing pipeline, consider also Apache Spark.
Edit: Fixed references from Hadoop to Hive, which is actually closer to Spark.