Hootsuite is a social media management platform for building brand awareness, engaging with customers, and driving business results. Users can schedule posts across multiple social networks (including Instagram, TikTok, Twitter, Facebook, LinkedIn, Pinterest, and YouTube ), manage organic and paid social content together, keep track of customer conversations, integrate with over 200+ applications, and gain actionable real-time insights from social media to make critical business decisions from…
$99
per month
Pricing
Apache Spark
Hootsuite
Editions & Modules
No answers on this topic
Professional
$99
per month
Team
$249
per month
Business
$739
per month
Enterprise
Contact for Pricing
Offerings
Pricing Offerings
Apache Spark
Hootsuite
Free Trial
No
Yes
Free/Freemium Version
No
Yes
Premium Consulting/Integration Services
No
Yes
Entry-level Setup Fee
No setup fee
Optional
Additional Details
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*Prices displayed in USD, based on annual billing, but do not include applicable taxes.
Free - 1 user / 2 social accounts
Professional @ $99/month - 1 user / 10 social accounts
Team @ $249/month - 3 users / 20 social accounts
Business - starting @ $739/month - 5 users / 35 social accounts
Enterprise - contact for pricing, unlimited users / 50+ social accounts
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.
I really like that I can just go into hootsuite, connect all the our social channels and be able to have a great overview on what our social feeds look like. It's super handy not having to spend time going into each social platform to do the same post, and I can spend one day scheduling out that month's social plan. I much prefer sorting out boosting post from Hootsuite, the only downside is that they have a limit to what you can boost a month so a lot of the time I have to grin and bear it and use Meta Business Suite instead for boosting posts.
Scheduling of content. The ease of use for Hootsuite's planner abilities is top of the industry. It is simple and effective in posting content to different channels and accounts.
Analytics are superior on Hootsuite. Their custom reports allow you to view very specific KPI's that you can adjust for each channel or account. The reports are also exportable to be used for others in the company.
Inbox management. The inbox manager is superior to any in the industry. Hootsuite allows you to tag certain phrases or keywords to better filter messages based on importance or topic.
Because of the way algorithms works, we would have loved to be able to automate making a post with no link and posting the first comment with a link (hello LinkedIn)
We would have loved an easy way to post from a main account and repost the post for other accounts we administrate, for instance a corporate post reposted by individuals for LinkedIn, or retweets from one main account by child accounts
At this time we are satisfied that Hootsuite offers the most of what we are looking for at the most reasonable price point. As the social media landscape and monitoring/scheduling software changes, so do our needs. We re-evaluate our tools semi-annually or as new tools emerge onto the market. If we find at any point that we aren't gaining an advantage, then we are open to switching products.
The only thing I dislike about spark's usability is the learning curve, there are many actions and transformations, however, its wide-range of uses for ETL processing, facility to integrate and it's multi-language support make this library a powerhouse for your data science solutions. It has especially aided us with its lightning-fast processing times.
Hootsuite is probably the easiest to use social media scheduler of all the ones that I've used. It's been easy to teach clients how to use the software themselves and it can be accessed easily on anyone's phone through their mobile app. Highly recommend for anyone that wants a software that is easy to learn!
Any outages are communicated in advance and have not been a problem. We let our clients know based on communications from HootSuite. Since we operate 24/7 with multiple shifts, planned outages can interfere with our operations, but we can always work around it.
Hootsuite makes passing on articles from the web very easy- when it works! I have had a number of gliches with Chrome where it does not open properly and the solution (after some toing and froing with support) was to uninstall and reinstall. The support staff are always very helpful (which is great!) but the gliches..... well, they suck when you are already busy!
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.
I can manage all of my accounts on one site! It's absolutely amazing! The dashboard is helpful to see how you are doing as well. Still getting to understand the analytics and may need to reach out for help on this
The online training is decent; however, it takes a lot more time to search for answers to my questions. Having a training session with a live person was much more effective as they were able to quickly address the business needs I have.
• Combination of vendor and internal. The vendor bumped up our account to the Enterprise version (quite simple and easy) and then set up our organization and team structure. We then had to log in and set up team members and assign members to social media accounts. This was pretty easy to do as they have a great user interface. We simply had to drag and drop people into the correct team giving them access to specific social media accounts.
All the above systems work quite well on big data transformations whereas Spark really shines with its bigger API support and its ability to read from and write to multiple data sources. Using Spark one can easily switch between declarative versus imperative versus functional type programming easily based on the situation. Also it doesn't need special data ingestion or indexing pre-processing like Presto. Combining it with Jupyter Notebooks (https://github.com/jupyter-incubator/sparkmagic), one can develop the Spark code in an interactive manner in Scala or Python
Hootsuite's free account was sufficient for use on behalf of our client. When they restructured their pricing model and eliminated free and affordable subscriptions suitable for a small business, we found that Zoho Social was an excellent replacement. The interface was simpler and the pricing was affordable and suitable for a small business.
Faster turn around on feature development, we have seen a noticeable improvement in our agile development since using Spark.
Easy adoption, having multiple departments use the same underlying technology even if the use cases are very different allows for more commonality amongst applications which definitely makes the operations team happy.
Performance, we have been able to make some applications run over 20x faster since switching to Spark. This has saved us time, headaches, and operating costs.
I have been able to evaluate which posts, in general, do well and figure out what types of posts to make (content)
It's been harder however to compare on social medial platform compared to another because it's hard to duplicate a post with a new owly (I think you used to be able to) but more so, you also can't assign it a custom owly link so I can see at a glance which owly link was associated with what platform.
