23 Reviews and Ratings
268 Reviews and Ratings
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.
Does great at open canvas editing and letting you fully customize without the need for a grid. It is democratizing self-service no-code analytics. You do not need to be a data or analytics engineer to get started, and you can go very far based on how intuitive and straightforward the UI is. Some of the biggest challenges with Looker Studio relate to user management/security, embedding options, and issue support. For a long time, every user needed to have a Gmail to invite them to view a dashboard via login, not sure if that has been improved yet. You can let any user view without logging in, but that is not always recommended due to security reasons. In terms of embedding, you can only iframe dashboards. More sophisticated BI tools let you embed elements via API or Javascript. Iframing dashboards also make drill downs and dashboard to dashboard navigation tricky/near impossible. There is also no ability to contact Google for support when bugs or outages happen. They point everyone to the Data Studio community. There is some ability to get in contact with Google if you have an enterprise-level contract with Google Cloud, but the path for support is very ad hoc and not always fruitful.Incentivized
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 sourcesA simple and easy to use UI on cloud console for setup and debuggingIt enables event-driven architectures and asynchronous parallel processing, while improving performance, reliability and scalabilityIncentivized
Self-serviceEasy to use, point and clickLittle to no training requiredEasy to share internally and externallyRich visualizationsCanned reportsEasy to copy/paste/dupe existing reportsAbility to join data setsEasy integration with various data sourcesFlexible data integrations, including lowest common denominator (CSV, XLS, G-Sheets)Wide range of APIsSecure / authentication via Google SSOEasy to share / re-assign ownership of reports and data sourcesIncentivized
Would be nice if the queue could be extended beyond 7 days.We found it a bit tricky replay unacknowledged messages when needed.Incentivized
Few functionalities are very exclusive only for data studio.It's time taking to load data and at the same time only single Data source can be connected.When editing the reports you have to switch between Edit and View mode to see how does the change looks like.
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 the simplest and least expensive way for us to automate our reporting at this time. I like the ability to customize literally everything about each report, and the ability to send out reports automatically in emails. The only issue we have been having recently is a technical glitch in the automatic email report. Sadly, there is almost no support for this tool from Google, but is also free, so that is important to take into consideration Incentivized
It has many libraries in many languages, google provides either good guides or they're AI generated code libraries that are easy to understand. It has very good observability too.
Google Data Studio has a clean interface that follows a lot of UX best practices. It is fairly easy to pick up the first time you use it, and there is a lot of documentation on line to help troubleshoot, if needed Incentivized
I have never faced a single problem in 4 years.
It's very fast, can be even better if you use protobuf.
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.Incentivized
I give it a lower support rating because it seems like our Dev team hasn't gotten the support they need to set up our database to connect. Seems like we hit a roadblock and the project got put on pause for dev. That sucks for me because it is harder to get the dev team to focus on it if they don't get the help they need to set it up.Incentivized
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.Incentivized
Google Data Studio provides a great feature set considering its price point, especially when compared to commercial options from Microsoft and Tableau. While it may not be as versatile when it comes to working with and developing complex datasets, there is enough charm in its simple, easy-to-use UI to allow not-so-complex analytics to be conducted without having to hire a data analyst.Incentivized
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.
Increased Efficiency with reliable and Google managed services up all the time wit Disaster Recovery in place as wellDefinitely Lower costs being a cloud based solution and easier to setupFaster Project delivery and go to market plan for the business use cases basis this technology at the back endIncentivized
Free, so the only investment is timeBecause it doesn't have native support of non-Google sources, it can cost more money than TableauThe time spent formatting the templates or building connectors can have a negative impact on ROIAs a agency, charging for the reporting service is profitable after the first month or two after building the dashboard.Incentivized