Amazon Kinesis vs. GoodData

Amazon Kinesis is a great replacement for Kafka and it works better whenever the components of the solution are AWS based. Best if extended fan-out is not required, but still price-performance ratio is very good for simplifying maintenance.

I would go with a different option if the systems to be connected are legacy, for instance in the case of traditional messaging clients.

Incentivized

GoodData is well suited for classic business intelligence and data analytics solution involving visually driven content using charts and graphs. It's rich collection and drillable interactions make it perfect for embedded analytics where application workflow is tied to analytics. However, GoodData may not be ideal or appropriate for such solutions that require lot of textual content to be displayed with the help of tabular visuals, particularly in regulated industries where the key is in the details. This is all tied to the platform limits that force the default layout to pre-filter

Incentivized

• Processing huge loads of data
• Integrating well with IoT Platform on Amazon
• Integration with overall AWS Ecosystem
• Scalability

Incentivized

• GoodData provides advanced analytics for predictive modeling. This assists in identifying potential issues before they arise, and making proactive decisions.
• GoodData prioritizes data security and compliance, providing features that help IT firms like ours adhere to regulatory requirements.
• GoodData gives high customization dashboards, allows us professionals to create tailored view of KPI.

Incentivized

• Not a queue system, so little visibility into "backlog" if there is any
• Confusing terminology to make sure events aren't missed
• Sometimes didn't seem to trigger Lambda functions, or dropped events when a lot came in

Incentivized

• Good Data is already have certain customizable options. However, having more flexibility in customizing reports and dashboards & control over the visual aspects would enhance the overall user experience.
• To make Good Data even more powerful tool, improving the speed and responsiveness of the tool, especially during data-intensive tasks, would be a significantly helpful.
• For new users, the interface can be made more user friendly which would promote easy navigation through features of tool.

Incentivized

Because gooddata really helps us in processing data to make reports or dashboards. So we are very satisfied when we use it. What we like is the flexible use of charts. We change at will the use of charts to display in reports or dashboards. Thank you Gooddata for helping companies like us who need flexibility in usage

Incentivized

From a customer perspective it is incredibly usable. We have more users building their own reports that would normally need custom work from our support team. The back end can be daunting when trying to configure things like new data elements or push changes to a report to all existing customers.

Incentivized

We are approximately one month since go-live. There has been one short outage.

I'm generally impressed with how fast it reflects so much data.

Incentivized

The documentation was confusing and lacked examples. The streams suddenly stopped working with no explanation and there was no information in the logs. All these were more difficult when dealing with enhanced fan-out. In fact, we were about to abort the usage of Kinesis due to a misunderstanding with enhanced fan-out.

Incentivized

Support team has been highly responsive and helpful from our first initial deployment to present day. They engage and work with us. know when to escalate for more challenging problems. They also follow up. Overall have had a very good experience with support

Incentivized

Petr was a rock star - patient, knowledgeable, clear and easy to work with.

GoodData implementation team was professional and courteous

Implementations are hard and we had limited technical resources. We relied too heavily on GD care team. When we found technical gaps, they weren't simple to overcome

Incentivized

The main benefit was around set up - incredibly easy to just start using Kinesis. Kinesis is a real-time data processing platform, while Kafka is more of a message queue system. If you only need a message queue from a limited source, Kafka may do the job. More complex use cases, with low latency, higher volume of data, real time decisions and integration with multiple sources and destination at a decent price, Kinesis is better.

Incentivized

GoodData comparing to other platform is very easy to use, customer support and on-boarding support. Set of features, speed of integration in our platform. Also great benefit for us was very competetive pricing.

Incentivized

We now have hundreds of customers on multiple product lines. It's very flexible and we can troubleshoot ourselves.

Incentivized

• Caused us to need to re-engineer some basic re-try logic
• Caused us to drop some content without knowing it
• Made monitoring much more difficult
• We eventually switched back to SQS because Kinesis is not the same as a Queue system

Incentivized

• GoodData helped me while making a decision of our marketing spend, next month we got 3X ROI back on a $100,000 a spend.
• I initially was very dicey about the analytics and reports we see, but now I can make my every dollar investment decisions based on it.
• Along with our growing data needs, it allow us to handle increased data volumes as well.

Incentivized