Hadoop Development Firms in Ukraine

dev firms 288

Explore the top Hadoop development companies in Ukraine that offer cutting-edge big data solutions tailored to meet your business needs. These firms specialize in harnessing the power of Hadoop technology to process vast amounts of data, enabling your organization to uncover valuable insights and achieve a competitive advantage. Discover our comprehensive list of trusted partners experienced with customizing and optimizing Hadoop ecosystems for scalability, reliability, and security.

(i) Related tech terms: Distributed File System, MapReduce, HBase, Hive, Pig, YARN, HDFS, Spark, Zookeeper.

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Victor Sarapin
VIТесh is an established technology company with a focus on Big Data, Data Science and Analytics, and a reputation for providing effective solutions in the H...
Nataliia Maiier
ScalHive is a technology and service provider that accelerates the transformation to the real-time enterprise by simplifying the development, deployment, and...
Dmitry Sverdlik
Xenoss is an NYC-based MarTech/AdTech software development company that provides custom solutions from scratch, builds development centers, and assists tech ...
Wise Engineering
Max Drogobytskyi
Wise Engineering is a Ukrainian service IT company with ambitions to launch in-house startup products. Our tech team focuses on solving complex nontrivial ta...
Mykhailo Hryhorash
Levi9 is a nearshore technology service provider specializing in custom made business IT, with around 1000 employees and 50+ customers. We have achieved 20% ...
Alex Medovoi
We are a Technology & Solution Consulting company that specializes in co-building technology products to help companies accelerate growth by leveraging our t...
Vadim Zaliva
Codeminders is a passionate and energetic team of veteran experts, established in Silicon Valley, that provides startups and enterprises with access to Big D...
Svitla Systems
Nataliya Anon
Since 2003, Svitla Systems has been a global trusted IT solutions company, providing services to customers ranging from startups to large corporations. We sp...

How to choose the right firm?

When selecting a Hadoop development company, look for a team with strong technical expertise, specialized in big data technologies and with a proven track record of successful project implementations.

Additionally, make sure the company is well-versed in the needs of your particular industry, and has the resources and capacity to handle the project in a timely manner.

Five questions you should ask Hadoop developer(s) before the hire

  1. What experience do you have in working with Hadoop?
  2. What is your experience in configuring Hadoop components?
  3. What optimization techniques have you used to improve application performance on Hadoop?
  4. What experience do you have in using Hadoop streaming?
  5. Have you ever set up and maintained Hadoop clusters?

πŸ‘‹ A lot of companies to analyse? Let us help you to select the trustful service provider!

Technologies that may replace Hadoop

Thinking of other choices (alternatives) may be a decent thought:

  • Apache Spark: An open-source distributed computing framework designed for fast and flexible data analysis.
  • Apache Flink: A distributed streaming platform for building real-time data pipelines and applications.
  • Apache Storm: A distributed, real-time computation system for processing large volumes of data.

Hire Ukrainian Hadoop Engineers

They have experienced professionals who have the knowledge and expertise to create custom solutions that are tailored to your business’s requirements. They also have access to the latest technology and tools to ensure that their solutions are up to date and efficient.

Top locations: Kyiv, Lviv, Kharkiv, Dnipro, Odesa, Zaporizhzhia, Vinnytsia, Khmelnytskyi, Ivano-Frankivsk.

Hadoop development rates in Ukraine vary depending on the type of project, size of the team and timeframe. Generally speaking, most Ukrainian development companies offer rates of $25-$35 per hour for Hadoop development services.

Future Trends

The future of Hadoop is promising as it continues to evolve with new technologies and advancements in big data.

While cloud-based solutions are gaining popularity, Hadoop's strength lies in its ability to handle massive amounts of structured and unstructured data across different types of hardware. With the growing demand for real-time insights, we can expect further developments in speed enhancements, security improvements, and integration with other analytical tools.

Ready to discuss your challenges?