Jenkins on CentOS 10 vs Snowflake Data Cloud [Private Offer Only] comparison

Jenkins on CentOS 10 vs. Snowflake Data Cloud [Private Offer Only]

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Review summaries and opinions

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Categories and Ranking

Jenkins on CentOS 10

Ranking in AWS Marketplace

449th

Average Rating

8.6

Number of Reviews

Ranking in other categories

No ranking in other categories

Snowflake Data Cloud [Priva...

Ranking in AWS Marketplace

52nd

Average Rating

8.4

Number of Reviews

Ranking in other categories

No ranking in other categories

Featured Reviews

Lucas Dantas

Fullstack Developer at Not Provided

Automation has accelerated deployments and standardizes pipelines while reducing operational errors

To improve Jenkins on CentOS 10, there are some challenges we ran into, especially when we first started using it. We missed clearer documentation, both for Jenkins as code and for some environment configurations. As a result, a lot of configurations were learned manually through tests with the team. We also missed more stable plugin updates. We had many problems with incompatibility between plugin versions in Jenkins on CentOS 10. What makes those situations challenging is that we had problems starting and restarting the Jenkins on CentOS 10 application when we needed to reuse plugins from the previous version. Once we updated some plugins to the required version, others became incompatible with the current version. It became a cycle where we had to update Jenkins on CentOS 10, the versions of the plugins we used, and the versions of the plugins they depended on, which made configuration and startup quite difficult in some cases.

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Satya-Srinivas

Client Engagement Lead at Statify Digital Consulting

Modernizes cloud data pipelines and has supported governed sharing and machine learning decisions

For me, there are only two products in the market which are Databricks and Snowflake Data Cloud [Private Offer Only]. Working on either one of them would give me recognition in the market. Databricks works excellently in certain situations, and Snowflake Data Cloud [Private Offer Only] works excellently in certain situations, whether it is high frequency, low latency, or low frequency and high latency type of data pipelines with different batch processing requirements. Based on this type of requirement, you either recommend a Snowflake or recommend a Databricks solution. Before you actually recommend, you also go with a pilot or an MVP which will justify the need. You go with a set assumption and then determine whether Snowflake or Databricks would work excellently for the customer's situation. It has to be done with an evaluation, a discovery, and a pilot, which will help the customer either pick Databricks or Snowflake Data Cloud [Private Offer Only]. Data sharing is important as far as if it is a multi-node or a multi-nation where there is fiduciary involved. You keep certain data inside the boundary of a country versus certain types of data can be shared across, even if it is the same company working across different geographies. Data sharing and data clean room definitely help a lot, and Databricks is ahead in this direction. Machine learning is not something you do once and then forget about it, forgetting about whether you need to maintain, re-tweak, or retune the model. Machine learning helps in arriving at a decision, but it does not mean that there is no follow-up. There will be a follow-up. Whenever there is a data drift, your outcome keeps changing. When the outcome changes, you need to work on the inventory and retool the algorithm and redeploy. This is what we call model risk assessment or a model risk framework. Machine learning helps, but there will be some sort of framework to put governance on it. Data enrichment does help to improve strategic planning. Data enrichment is all about dealing with missing data, rounding off errors, and coming up with median and average of different types of data. That will give you a wholesome view into the missing data of, for example, customers, suppliers, or vendors. For example, if you have 10 people and for nine or seven of them there is data missing in a feature set, then you will have a way to fill them up and still create a rounded view so that you can take decisions. In this way, it helps strategic decisions. Role-based and row-based security are both important in terms of data security. Both help keep the data privacy. One example is the salary of my peer. I should not be able to see it unless I am their supervisor. These measures help in data protection. Concurrency is a two-pronged strategy. One is you can increase the capability where you house the cloud. The other one is how you manage it within the software. Both are important, and Snowflake has done a decent job in helping concurrency.

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Quotes from Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Pros

"Jenkins on CentOS 10 significantly helps my team."

"The dashboard and centralized process really help my team day-to-day by making things both easier and faster."

"My advice to other people who are thinking about using Jenkins on CentOS 10 is that they can use it. It is a very secure tool that speeds up processes and links other tools in a very secure and easy way."

"The plugin I consider indispensable, which has greatly facilitated integration with other systems, is the Atlassian plugin, which is exactly the plugin for where we have our source code repository."

"Jenkins on CentOS 10 is a very good tool for DevOps because it is an established tool with strong CI/CD capabilities."

"With Shared Libraries, I do not need that. I can have one controller and call it in other pipelines as well. I declare it in Jenkins, indicate the repo where it is, and any pipeline that wants to use it just needs to call that method, because when you start the build, it already loads into memory what you need to use. That is really cool."

"That level of detail helps me a lot because I can understand the stage that is running and what is actually happening, literally, in that stage."

"Jenkins on CentOS 10 is the main orchestrator that currently helps us ensure, in an automated way, the quality of the product we are delivering."

More Jenkins on CentOS 10 pros

"The biggest advantage of Snowflake Data Cloud compared to databases I previously used, and compared to Databricks, is that when storing, performing transformations, or querying in Snowflake Data Cloud, it operates very fast."

"The best features of Snowflake Data Cloud [Private Offer Only] revolve around its main concept, which is the separation of storage and compute."

"Snowflake Data Cloud [Private Offer Only] is very user-friendly, easy to navigate, and easy to work on."

"The ROI from utilizing Snowflake Data Cloud [Private Offer Only] reflects a major reduction in time to market, particularly in manufacturing where product analyses and forecasts are delivered rapidly, often within a 30-minute window to consumers."

"The biggest advantage of Snowflake Data Cloud [Private Offer Only] is scalability; I can directly use the muscle power of Snowflake to increase or decrease compute power easily."

"The technical support is very much available and they do not just react to problems, they actively help us solve our use cases and apply Snowflake Data Cloud [Private Offer Only] in a way that helps our needs and our solutions."

"The biggest advantage of Snowflake Data Cloud [Private Offer Only] is that it serves as a single source for all data."

"Snowflake Data Cloud [Private Offer Only] provides the ability to centralize our data and its simplicity in comparison to other cloud databases."

More Snowflake Data Cloud [Private Offer Only] pros

Cons

"I think the process of installing Jenkins on CentOS 10 in an environment could be improved in many cases."

"Regarding how Jenkins on CentOS 10 can be improved, it is not specific to CentOS 10, but Jenkins is a bit resource-intensive. It consumes significant system resources, especially if there are large codebases running or large projects running, and running it on a server does cost money."

"I believe the main challenges with Jenkins on CentOS 10 are in maintenance."

"Jenkins also has a simple scheme that is good but risky: you can copy the /var/lib/jenkins folder, which stores all the service data, and move it to a new server."

"I think the overall performance of Jenkins on CentOS 10 could be improved because it ends up consuming a bit more memory."

"For improvements to Jenkins on CentOS 10, I believe its plugins need to go through some reviews."

"The plugins in Jenkins on CentOS 10, while really great because of the huge ecosystem, can also be a pain point because you never know how long they will be maintained, and there's a slight instability there; if you depend on some plugin that does an integration with some product and the plugin is not maintained anymore, you're blocked from using the product features that would integrate through the plugin, and it doesn't have high availability natively."

"In my experience with pricing, setup costs, and licensing, I found Jenkins on CentOS 10 expensive. The configuration is very burdensome, and that requirement is bad."

More Jenkins on CentOS 10 cons

"The area for improvement in Snowflake Data Cloud [Private Offer Only] revolves around streaming data handling, especially when compared to competitors like Databricks, which offer advanced connectors such as ZeroBus for direct data streaming."

"There are disadvantages in Snowflake Data Cloud [Private Offer Only]; the compute cost is borderline outrageous."

"I think that the weak feature of Snowflake Data Cloud [Private Offer Only] at the moment is the ingestion phase."

"Snowflake is playing catch-up compared to Databricks."

"While Snowflake Data Cloud [Private Offer Only] has some manual operational overhead as a SaaS platform, it provides a robust structure compared to its competitors such as Databricks."

"The area in Snowflake Data Cloud [Private Offer Only] that has room for improvement is the warehouse cost, which majorly impacts us."

"The main area for improvement is the integrations component, particularly ETLs in Snowflake Data Cloud."

"I think Snowflake Data Cloud [Private Offer Only] can work on credit consumption costs, which are currently high."

More Snowflake Data Cloud [Private Offer Only] cons

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Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	5
Midsize Enterprise	2
Large Enterprise	8

By reviewers
Company Size	Count
Small Business	6
Midsize Enterprise	1
Large Enterprise	3

Questions from the Community

What needs improvement with Jenkins on CentOS 10?

Jenkins on CentOS 10 is somewhat dated when compared to other pipelines. I would suggest improving the build performance and using distributed agents instead of running every build on the controlle...

What is your primary use case for Jenkins on CentOS 10?

For Jenkins on CentOS 10, we are mostly using it as a CI/CD pipeline to deploy our traditional applications on our healthcare platform.

What advice do you have for others considering Jenkins on CentOS 10?

I would rate Jenkins on CentOS 10 overall as an eight on a scale of one to ten. From my perspective, Jenkins on CentOS 10 has both advantages and disadvantages. Based on that consideration, I chose...

What is your experience regarding pricing and costs for Snowflake Data Cloud [Private Offer Only]?

It is all consumption-based. It is that Rolls-Royce versus a Ford car. A Ford car runs through the streets of London, versus a Rolls-Royce that still runs on the street of London, but it takes more...

What needs improvement with Snowflake Data Cloud [Private Offer Only]?

Snowflake Data Cloud [Private Offer Only] is definitely in the same direction as Databricks. They are mimicking and morphing themselves to keep the compute and the storage separate, which was one o...

What is your primary use case for Snowflake Data Cloud [Private Offer Only]?

It's all about data modernization, building a data warehouse on the cloud, and then keeping it ready for consumption.

Comparisons

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Product Reports

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Snowflake Data Cloud [Private Offer Only]

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Snowflake Data Cloud [Private Offer Only] report

Overview

Jenkins on CentOS 10 provides a robust continuous integration and continuous delivery platform, ideal for automating software builds and deployments with high efficiency and reliability.

With Jenkins on CentOS 10, developers enjoy a powerful and flexible platform that automates the software development process. It offers seamless integration with various tools and frameworks, making it suitable for managing complex projects. The stability of CentOS 10 as a host operating system ensures long-term support and security, crucial for enterprise environments. Jenkins facilitates fast feedback on code changes, enhancing team productivity and reducing errors in production environments.

What are the key features of Jenkins on CentOS 10?

Extensibility: Supports numerous plugins that extend its capabilities to meet unique project needs.
Distributed Builds: Speeds up the process by distributing build tasks across multiple nodes.
Pipeline as Code: Enables writing pipelines in Groovy through a simple DSL, supporting continuous delivery.
Rich Ecosystem: Compatible with a wide range of developer tools for integration and deployment.
Automated Testing: Integrates testing frameworks to automatically verify build stability.

What benefits can users expect from Jenkins on CentOS 10?

Scalability: Easily scales to accommodate larger teams and more complex projects.
Cost Savings: Free and open-source, reducing licensing costs compared to proprietary software.
Efficiency: Streamlines workflows, improving developer productivity and software quality.
Security: Strong security features protect against vulnerabilities, safeguarding assets.
Community Support: Strong community and documentation provide resources for troubleshooting and optimization.

In industries such as finance, healthcare, and technology, Jenkins on CentOS 10 is implemented to automate workflows, enhancing collaboration and ensuring reliability in high-stakes environments. Its integration capability allows businesses to continually innovate without compromising on security or performance, making it an ideal choice for projects where consistency and long-term support are priorities.

Supported Images

Snowflake Data Cloud [Private Offer Only] is designed to address advanced data needs, providing businesses with a comprehensive platform for data management, analytics, and insights, ensuring secure and efficient data handling for optimized decision-making.

Snowflake Data Cloud [Private Offer Only] offers an innovative architecture that seamlessly integrates data from disparate sources. It provides a scalable environment tailored for complex data applications, supporting advanced analytics, machine learning, and custom user-driven queries. This approach helps organizations harness their data more effectively, driving business insights and enhancing competitive strategies.

What are the key features of Snowflake Data Cloud [Private Offer Only]?

Scalability: Adapts to workloads, ensuring constant performance and efficiency.
Multi-cloud Compatibility: Supports integration with major cloud platforms like AWS and Azure.
Secure Data Sharing: Offers controlled access to shared data ensuring privacy and compliance.
Seamless Data Integration: Facilitates integration from various data sources into a unified platform.
Real-time Analytics: Delivers immediate data insights, supporting prompt decision-making.

What benefits or ROI should you consider when evaluating Snowflake Data Cloud [Private Offer Only]?

Cost Efficiency: Reduces operational costs through effective data storage and processing.
Performance: Ensures fast query execution and high availability.
Flexibility: Offers customizability to meet specific business requirements.
Enhanced Data Collaboration: Improves communication across departments through accessible data sharing.
Time to Value: Accelerates insight delivery, impacting strategic planning positively.

In the finance industry, Snowflake Data Cloud [Private Offer Only] streamlines fraud detection and risk management by processing large volumes of transactional data efficiently. In healthcare, it supports patient data integration, enabling precision medicine and improved outcomes. Retail sectors utilize it for enhanced customer experiences through predictive analytics for inventory and supply chain management.

Carahsoft

Jenkins on CentOS 10 vs. Snowflake Data Cloud [Private Offer Only]