If you want to stream high volumes of data, be it for ETL streaming or event sourcing, Google Cloud Pub/Sub is your go-to tool. It's easy to learn, easy to observe its metrics and scales with ease without additional configuration so if you have more producers of consumers, all you need to do is to deploy on k8s your solutions so that you can perform autoscaling on your pods to adjust to the data volume. The DLQ is also very transparent and easy to configure. Your code will have no logic whatsoever regarding orchestrating pubsub, you just plug and play. However, if you are not in the Google Cloud Pub/Sub environment, you might have trouble or be most likely unable to use it since I think it's a product of Google Cloud.
I found that ManyChat is a strong tool when receiving incoming messages, being able to create a tree of potential responses based on options given to the initiator. There is also a huge potential for complex automation (as long as the environment required by Facebook in order to send outgoing messages is maintained).
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With a pub/sub architecture the consumer is decoupled in time from the publisher i.e. if the consumer goes down, it can replay any events that occurred during its downtime.
It also allows consumer to throttle and batch incoming data providing much needed flexibility while working with multiple types of data sources
A simple and easy to use UI on cloud console for setup and debugging
It enables event-driven architectures and asynchronous parallel processing, while improving performance, reliability and scalability
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
Honestly, the only thing I don't like about ManyChat is their support. It seems to be almost non existent. However, that concern is negated by having a fantastic user base that helps each other out on Facebook.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
It serves all of our purposes in the most transparent way I can imagine, after seeing other message queueing providers, I can only attest to its quality.
It is easy to create Google Cloud Pub/Sub topics from both Web Console and CLI commands.
Google Cloud Pub/Sub supports creation of one or more subscriptions.
By supporting a BigQuery Pub/Sub subscription to automatically write to a BigQuery table it simplifies development by avoiding implementation of a custom micro service for writes to BigQuery.
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ManyChat is a great tool, provides loads of features, integrations and just saves you a whole load of time once all set up. If you aren't tech-savvy or used to how digital marketing tools work, it can appear complicated. That's how I felt initially 2 years ago, and after watching tutorials online I had a better understanding of it. This is why I rated it a 7, as it's not a tool that you can just play around with and guess how it works. There's definitely a learning curve with it so I recommend doing the free training and watching video tutorials.
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They have decent documentation, but you need to pay for support. We weren't able to answer all our questions with the documentation and didn't have time to setup support before we needed it so I can't give it a higher rating but I think it tends to be a bit slow unless you're a GCP enterprise support customer.
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There is room for improvement but frankly, we haven't had the need to request for support. Everything is pretty easy to setup and there are very useful video explanation guides and walkthroughs on ManyChat's YouTube channel. The only challenge we have had was to integrate it with Zapier, it's a bit tricky because you need to do a setup workaround first, but nothing too complicated.
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Having used Amazon Web Services SNS & SQS I can say that even if the latter may offer more features, Google Cloud Pub/Sub is easier to use. On the other hand, usage of SNS & SQS as well as documentation and troubleshooting is easier with the AWS solution. Since we are not using GCP only for Pub/Sub the choice depends on other variables.
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I've worked in the past with Chatfuel. However, I decided to switch to ManyChat due to a variety of reasons. Overall, ManyChat offers much more functionality out of the box (e.g., Facebook comments tool), sequence builders are much more intuitive. Also, they provide flexible pay as you go pricing plan, which is perfect for a startup like us.
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You can just plug in consumers at will and it will respond, there's no need for further configuration or introducing new concepts. You have a queue, if it's slow, you plug in more consumers to process more messages: simple as that.
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For the intended application, we experienced a negative ROI due to the inconsistency in the ability to maintain the automation without incoming responses. Since it is a free service that was meant to lead to paid services organically, the inconsistencies prevented the desired outcome.
We did experience a higher conversion rate with basic incoming messages with questions about services or products due to the ability to have pre-created responses and direction immediately supporting the prospect.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info