Atlassian Bitbucket vs. IBM StreamSets

As a team we need to push code into the repo on daily basis, Bitbucket has proven that is a reliable and secure server to save and get the code available in no time. The administration part is really easy and there's an extra tool for every developer profile either if you want to use the console or a GUI like Sourcetree.

Incentivized

IBM StreamSets excels in real-time logistics data ingestion and transformation across hybrid systems. It’s less ideal for lightweight ETL tasks or static datasets where simpler tools can achieve similar results with less overhead and complexity.

Incentivized

• Very easy to integrate with other DevOps tools like Jenkins and with project/workflow management tools like JIRA.
• Very efficient in managing security and compliance standards for code, especially during pull requests, merge requests, branching, etc.
• Very robust in performance, especially the cloud and datacenter versions hardly hit any performance issues and supports more than 2000+ developers in my company.

Incentivized

• It helps streaming huge data that we have in our Teradata database to various reporting applications that runs on cloud seamlessly.
• We also use IBM StreamSets to power few BI dashboards that our product managers use on regular basis to showcase various data with clients.
• I think the data quality is way better compared to Informatica tool.

Incentivized

• The code management UI is a bit rough around the edges and difficult to work with.
• BitBucket does not have the same simplified PR management tools as other competitors.
• It's not as easy to integrate 3rd party apps as other competitors.

Incentivized

• The error messages I feel aren t always very descriptive so troubleshooting can take longer
• Maybe more customisation options for scheduling can be done, rest it works pretty well.

Incentivized

All products have room for improvement. The system improves over time with better and better integrations and I look forward to even more features without paying extra! The system has increased transparency across my organization and with this transparency comes increased throughput on projects. I don't think I can go back to any other system and we are definitely married to this product.

Incentivized

IBM Stream sets has been a wonderful addition to our technology stack. It has helped in some of our initiatives such as data engineering, data integration for not only external customers but also for internal purposes. The tool has also helped on our use cases related to streaming data. Moving to another tool would require significant amount of work and time.

Incentivized

The architecture of Bitbucket makes it more easily scalable than other source code management repositories. Also, administration and maintaining the instance is very easy. It integrates with JIRA and other CI/CD applications which makes it more useful to reduce the efforts. It supports multiple plugins and those bring a lot of extra functionality. It increases the overall efficiency and usefulness of Bitbucket.

Incentivized

The StreamSets platform is very easy to use and the interface is extremely intuitive. The drag-and-drop, low-code design makes it accessible for teams with varying technical skills, allowing us to quickly connect sources, define transformations, and deploy pipelines without heavy coding. StreamSets allows us to get started quickly and not have to worry about our pipelines breaking once they're built.

Incentivized

The customer support provided by Atlassian (Bitbucket's parent company that also makes Jira, Confluence, etc.) is very helpful. They seem to be very concerned about any issues reported with their products and even just questions about functionality. They are constantly improving the products with new features in nearly every release. Plus they have a plethora of online documentation to reference.

Incentivized

Streamsets support has improved a lot in the last couple of years. We had some challenges in the beginning with support, but now the quality of the support and the responsiveness to tickets are better. We have contacted support multiple times when it came to scenarios where the system was slow or the output as not as we expected

Incentivized

I was not involved in the implementation

Incentivized

For the features we were looking at, Bitbucket, GitHub and GitLab were all at par and were in a similar price range. We found that GitHub was the most full featured should we need to scale very quickly. GitLab was at par with GitHub for our future needs, but GitHub was a more familiar tool compared to GitLab. Bitbucket won out because of its close integration with Jira and being in the Atlassian family. It was also cheaper than GitHub. As we started with Jira, Bitbucket addition became a natural next step for us. We really liked Bitbucket and stayed with it but we do know we have great options in the form of GitHub and GitLab should we need to scale fast.

Incentivized

First advantage is that this software is particularly new and it keeps updating according to the needs of the user. Other advantage is the it organises and produces conclusions on the basis of data without leaving any relevant information. Other softwares lack in data summarising and readability of the charts and sheets they produce.

Incentivized

• It's allowed for a lot of automation in terms of development workflows. It lets us pursue CI/CD approaches and get releases out faster
• It has let us get our infrastructure configuration into VCS, which further improves our automation abilities.
• It has aided in keeping track of changes, and allows us to keep workflows organized so we can track the status of development

Incentivized

• time saving for automatic collection and integration of data
• time saving thanks to live monitoring and reaction
• time saving for standardization of data

Incentivized