Apache Kafka is an open-source stream processing platform developed by the Apache Software Foundation written in Scala and Java. The Kafka event streaming platform is used by thousands of companies for high-performance data pipelines, streaming analytics, data integration, and mission-critical applications.
N/A
Stackby
Score 9.0 out of 10
N/A
Stackby is designed to bring together the simplicity of spreadsheets, the functionality of databases and integrations with best business APIs to let anyone build their own tools, the way they want. No coding needed. Users can build a database from scratch, import data from pre-existing sources like spreadsheets or Google Sheets, or choose from over 100 pre-built templates across multiple categories. Stackby offers over 25 unique column types like text,…
Apache Kafka is well-suited for most data-streaming use cases. Amazon Kinesis and Azure EventHubs, unless you have a specific use case where using those cloud PaAS for your data lakes, once set up well, Apache Kafka will take care of everything else in the background. Azure EventHubs, is good for cross-cloud use cases, and Amazon Kinesis - I have no real-world experience. But I believe it is the same.
Based on my experience, I can provide specific scenarios where Stackby is well suited and others where it may be less appropriate: Project Management: Stackby is an excellent choice for project management scenarios. Its ability to create custom databases, track tasks, assign responsibilities, and collaborate in real-time makes it highly effective for managing and monitoring project progress. CRM and Sales: Stackby is well suited for managing customer relationships and sales processes. Its customizable database structure allows for organizing customer information, tracking leads, managing deals, and generating reports. The ability to integrate with other tools further enhances its usefulness in CRM and sales workflows. Content Planning: Stackby is a great fit for content planning scenarios. Users can create databases to manage editorial calendars, track content ideas, assign tasks to team members, and monitor content performance. Collaboration features facilitate seamless content collaboration and ensure timely publishing.
Really easy to configure. I've used other message brokers such as RabbitMQ and compared to them, Kafka's configurations are very easy to understand and tweak.
Very scalable: easily configured to run on multiple nodes allowing for ease of parallelism (assuming your queues/topics don't have to be consumed in the exact same order the messages were delivered)
Not exactly a feature, but I trust Kafka will be around for at least another decade because active development has continued to be strong and there's a lot of financial backing from Confluent and LinkedIn, and probably many other companies who are using it (which, anecdotally, is many).
Sometimes it becomes difficult to monitor our Kafka deployments. We've been able to overcome it largely using AWS MSK, a managed service for Apache Kafka, but a separate monitoring dashboard would have been great.
Simplify the process for local deployment of Kafka and provide a user interface to get visibility into the different topics and the messages being processed.
Learning curve around creation of broker and topics could be simplified
Implement the same views available on desktop into the mobile app
Internal automations (like Airtable)
Ability to implement and display info as a dashboard (like Airtable)
Polish up the formatting of formulas, inputting them causes user frustration due to the formula input cursor jumping around
Better intelligence and ease of inputting data in bulk i.e have the fields automatically identify what data is being input and format appropriately (like Airtable does)
Apache Kafka is highly recommended to develop loosely coupled, real-time processing applications. Also, Apache Kafka provides property based configuration. Producer, Consumer and broker contain their own separate property file
Stackby is overall pretty easy to use, especially if you're used to something like Airtable or SmartSuite. Some of the pages seem like near exact clones (though they put their own creative spin on things). I'd prefer a slighty fresher interface (like SmartSuite), but I'm willing to sacrifice that for the better price and great customer service.
Support for Apache Kafka (if willing to pay) is available from Confluent that includes the same time that created Kafka at Linkedin so they know this software in and out. Moreover, Apache Kafka is well known and best practices documents and deployment scenarios are easily available for download. For example, from eBay, Linkedin, Uber, and NYTimes.
I used other messaging/queue solutions that are a lot more basic than Confluent Kafka, as well as another solution that is no longer in the market called Xively, which was bought and "buried" by Google. In comparison, these solutions offer way fewer functionalities and respond to other needs.
I have also tried Ora.Pm. Infinity has better graphical interface, but nowhere near as many features and the UI isn't as effective (i.e, moving around with keys). Grist has a much more technical interface and it comes from being more of a database/interactive spreadsheet vs Stackby. Grist has much more functionality in terms of formulas, but is much harder to learn to use and less other functionalities. Ora.PM is more of a test at a task management app, and doesn't compare - Stackby is much better.
Positive: Get a quick and reliable pub/sub model implemented - data across components flows easily.
Positive: it's scalable so we can develop small and scale for real-world scenarios
Negative: it's easy to get into a confusing situation if you are not experienced yet or something strange has happened (rare, but it does). Troubleshooting such situations can take time and effort.
