Apache Spark is a multi-language engine for executing data engineering, data science, and machine learning on single-node machines or clusters.
N/A
Mixpanel
Score 8.3 out of 10
N/A
Mixpanel helps companies measure what matters, make decisions fast, and build better products through data. With self-serve product analytics solution, teams can analyze how and why people engage, convert, and retain—in real-time, across devices—to improve their user experience. Mixpanel serves over 26,000 companies from different industries around the world, including Expedia, Uber, Ancestry, DocuSign, and Lemonade. Headquartered in San Francisco, Mixpanel has offices in New York,…
$0
per month
Woopra
Score 3.0 out of 10
Enterprise companies (1,001+ employees)
Woopra provides real-time customer analytics. It begins by tracking users across digital touch points (website, mobile app, help desk, marketing automation, etc.) and building a comprehensive behavioral profile for each user. These Customer Profiles are Woopra's building blocks, which are used to generate custom analytics reports, funnel analytics, retention analytics, and more.
$80
per month
Pricing
Apache Spark
Mixpanel
Woopra
Editions & Modules
No answers on this topic
Free
$0
per month
Growth
$17
per month
Enterprise
Contact sales
Pro
$999.00
per month
Offerings
Pricing Offerings
Apache Spark
Mixpanel
Woopra
Free Trial
No
No
Yes
Free/Freemium Version
No
Yes
Yes
Premium Consulting/Integration Services
No
No
Yes
Entry-level Setup Fee
No setup fee
No setup fee
Optional
Additional Details
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Mixpanel uses MTU (Monthly Tracked User) pricing, which is designed to scale with your company. MTUs are roughly equivalent to the number of unique visitors on your product and each user is counted once per month, even if they use multiple devices. If Events based pricing makes more sense for your business, reach out to us and we can work with you!
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More Pricing Information
Community Pulse
Apache Spark
Mixpanel
Woopra
Considered Multiple Products
Apache Spark
No answer on this topic
Mixpanel
No answer on this topic
Woopra
Verified User
Project Manager
Chose Woopra
Mixpanel looks too mobile oriented. Very limited in some scenarios. Google analytics seems too B2C products oriented. More on aggregated data, retention, funnel and conversion. Woopra allows a better follow of particular users when needed.
Woopra has more flexible ways to visualize the data. Also found Woopra to be more reliable than the other analytic packages that we have used in the past. Quick turnaround when we do see a bug.
Well suited: To most of the local run of datasets and non-prod systems - scalability is not a problem at all. Including data from multiple types of data sources is an added advantage. MLlib is a decently nice built-in library that can be used for most of the ML tasks. Less appropriate: We had to work on a RecSys where the music dataset that we used was around 300+Gb in size. We faced memory-based issues. Few times we also got memory errors. Also the MLlib library does not have support for advanced analytics and deep-learning frameworks support. Understanding the internals of the working of Apache Spark for beginners is highly not possible.
As a worker in the sales area, I see closely how complex it can be to evaluate the commercial funnel and Mixpanel has been an indispensable guide to prioritize above all what customers expect to receive from our company, and thus be able to determine the main service we offer. Without a doubt, Mixpanel has special functions to be the one that guides the route and marks the objectives much more clearly.
My rating of Woopra is the absolute best possible. I would recommend them to anyone looking for an analytics website that prefers a visual interface and a beautiful design. I have not encountered any problems using their app -- ZERO! Their integration with other marketing software, such as MailChimp, helps our company zero in on our marketing campaigns and gives us the information we need to make better choices. I LOVE Woopra and think they are the best out there! I have used other websites and there is no comparison!
Mixpanel is a daily use application for everyone in my organization; it helps us have a better flow of information and interaction between work teams.
The user interface of this platform is simple and has a wide variety of functions and resources to help us work in the most organized way, have better team coordination, and keep efficiency high.
I love that it is so easy to program our calendar to our liking, so we can prioritize our activities and know what is pending, and the best thing is that I can update the calendar if necessary.
The chat function is great to improve the interaction between colleagues and share work schedules and any information with third parties.
Woopra tracks *individual users and customer accounts*. It cannot be understated how important this is. Google Analytics and other low cost solutions only sample users and provide aggregate data. For enterprise sales, this is critical. Likewise, for product managers trying to segment product usage by types of accounts, this is incredibly useful.
Woopra updates user analytics in real time. This is critical in a sales context as you want to be able to follow up quickly on opportunities. Likewise, it is useful for customer success as they can see usage in real time for an individual they are supporting.
Woopra has the most turnkey integrations of any web analytics solution on the market. By far the most useful are Marketo, SalesForce, and Slack, but there are several more we didn't tap into. While any solution worth its salt has an API, Woopra's integrations usually require a login and/or API key, and you are good to go. Here is the current list: https://www.woopra.com/appconnect/.
Woopra enables B2B product managers to track product and feature usage by revenue, not just clicks. Again, in a B2B context, this is critical, as there are high-value users and low-value users. Knowing the difference is critical.
Woopra's implementation is super simple. We were able to set it up with a couple of hours of one frontend developer and some help from our product intern.
Mixpanel requires an explicit setting of events from your app. This means you need to be very thoughtful in the design of your events because missing one means you aren't collecting any data from it. Inserting it into the process later on then brings challenges in tracking when certain events came online.
A tool like Mixpanel comes packed with features that sometimes are harder to discover. It's very easy to get sucked into one part of its toolset and not be aware of other tools which may be very useful.
It's not an all encompassing solution like Google Analytics tries to be, but MixPanel offers much easier to use and understandable data insights. That's valuable when juggling many responsibilities as startup life demands, so a renewal would be easily justified.
We just really like the tool. There are lots of us using it internally... from Product, to marketing, to customer service, to optimization team, to traffic acquisition, to Executives. Really helps us answer questions about how well things are going, and what is not going well.
If the team looking to use Apache Spark is not used to debug and tweak settings for jobs to ensure maximum optimizations, it can be frustrating. However, the documentation and the support of the community on the internet can help resolve most issues. Moreover, it is highly configurable and it integrates with different tools (eg: it can be used by dbt core), which increase the scenarios where it can be used
Relativity easy to use. Once you get the hang of it, very easy to create dashboards for different use cases. I split my dashboards between customers or use cases
The UI and reports are great overall. Creating reports just requires a few too many screens and clicks. Also dashboard tiles can't be resized. Both of these are easy items that are being addressed
1. It integrates very well with scala or python. 2. It's very easy to understand SQL interoperability. 3. Apache is way faster than the other competitive technologies. 4. The support from the Apache community is very huge for Spark. 5. Execution times are faster as compared to others. 6. There are a large number of forums available for Apache Spark. 7. The code availability for Apache Spark is simpler and easy to gain access to. 8. Many organizations use Apache Spark, so many solutions are available for existing applications.
We have only ever had to use their support once, when we were setting up the account, but their responses were prompt and the solutions were well documented. The people who solved our issues were helpful, even to non-tech people.
Mixpanel has a great resource about their product, with videos on how to use it and real world examples from other companies on how they integrate Mixpanel into their business processes.
Again, somewhat annoying to be charged based on data points when many other analytics providers have one flat fee. Implementation was good, but I might have tracked a few more detailed points if I had the option.
Compared to other products, the support was a small effort. We only had part time contributions from a product management intern and front end developer.
Spark in comparison to similar technologies ends up being a one stop shop. You can achieve so much with this one framework instead of having to stitch and weave multiple technologies from the Hadoop stack, all while getting incredibility performance, minimal boilerplate, and getting the ability to write your application in the language of your choosing.
Woopra is much easier to setup and use than Google Analytics. I've spent hours trying to create custom reports in Google Analytics. Woopra does not take this much time to get solid reporting for our site. If you need something that tracks marketing efforts then Google Analytics will likely be a better fit.
We've been able to increase the funnel conversions of one of our new product funnels from a 1% conversion rate to a 5% conversion rate.
We've been able to increase the CTR on another of our main product pages from ~3% to ~10% (so far)
We've been able to segment out how users from different traffic sources behave, allowing us to eliminate thousands of dollars of wasteful spending on advertising campaigns that weren't working.
Really helped us begin to segment our users based on their engagement and retention.
Helped increase retention by about 1.5% after about 5 months of implementation (don't shoot the messenger if your team can't implement that quickly).
I felt like it had great potential to create a pipeline between sales and the CSM, but I had trouble getting the sales team to implement it properly as they had their noses deep in calls and emails (they struggle entering notes in SalesForces as well, so it's more a company specific problem).
