SCALA DEVELOPMENT COMPANY
Expand your Scala development with nearshore talent.
+200 companies rely on
our 1% Top Talent
Scala Development Services We Provide
Custom Application Development
Scala is perfect for building scalable, high-performance applications. Our developers use Scala to create custom software solutions that are designed for complex, data-heavy environments, ensuring speed and reliability.
Big Data Solutions
Scala’s seamless integration with Apache Spark makes it ideal for big data processing. Our team develops powerful data pipelines and analytics platforms using Scala and Spark, helping businesses manage and analyze large datasets in real time.
API Development
We use Scala to build secure, scalable APIs that ensure smooth communication between systems. Scala’s support for functional programming enhances API efficiency, while frameworks like Akka and Play streamline development and performance.
Scala for Microservices
Scala’s strong support for concurrent and distributed computing makes it an excellent choice for microservices architecture. We design and build microservices with Scala, enabling independent services to interact smoothly and scale as needed.
Machine Learning and Data Science
Scala’s compatibility with data science libraries like Breeze and its integration with Spark MLlib allow us to develop machine learning models and data-driven applications. Our team uses Scala to create powerful predictive analytics tools and algorithms.
Scala Migration
Migrate legacy systems to Scala for better performance and scalability. Our developers ensure smooth transitions, refactoring codebases for more efficient execution while maintaining system integrity.
Why Choose Xpertsoft for Scala Development
Nearshore Expertise
Our software developers are primarily based in Portugal, ensuring smooth collaboration with EU-based clients. With real-time communication and bilingual professionals, we provide seamless support and development services.
Broad Technical Expertise
Beyond Scala development, our team brings expertise in big data, machine learning, DevOps, and more. We offer comprehensive services to help you build secure, scalable, and data-driven applications.
Tailored Development Solutions
Lorem ipsum dolor sit amet, consectetur adipiscing elit. Ut elit tellus, lucWe provide flexible software development services that align with your business goals. Whether you need a single Scala developer or an entire team, we adapt to your needs and scale our involvement to fit your project requirements.tus nec ullamcorper mattis, pulvinar dapibus leo.
The Scala Ecosystem We Used in Previous Work
Big Data Processing
Scala’s integration with big data tools makes it ideal for processing large datasets efficiently:
- Apache Spark
- Kafka Streams
- Hadoop
- Akka Streams
Web Frameworks
Build responsive and scalable web applications with these powerful Scala frameworks:
- Play Framework
- Akka HTTP
- Scalatra
- Finch
Concurrency and Distributed Systems
Leverage Scala’s strength in concurrent and distributed programming with these tools:
- Akka
- Cats Effect
- ZIO
Machine Learning and Data Science
Create data-driven solutions with Scala’s support for machine learning and analytics:
- Spark MLlib
- Breeze
- Algebird
Testing and Code Quality
Ensure reliable and high-quality Scala code with these testing and quality assurance tools:
- ScalaTest
- Specs2
- Scalacheck
- Scoverage
Key Facts to Know About Scala Development
- Benefits of using Scala
-
1. Functional and Object-Oriented Programming
Scala combines the best of both functional and object-oriented programming paradigms. This flexibility allows developers to write concise, expressive, and efficient code, leading to faster development cycles and easier code maintenance.
2. Scalability and Concurrency
Scala’s strong support for concurrency, especially with frameworks like Akka, makes it ideal for building scalable and distributed systems that can handle large workloads and real-time data processing.
3. Seamless Integration with Java
Scala runs on the Java Virtual Machine (JVM), allowing it to interoperate with existing Java code. This makes it easy to introduce Scala into Java projects and take advantage of both languages’ strengths.
- Scala is primarily used for
-
Scala is primarily used for building scalable, high-performance applications in areas such as data processing, microservices, machine learning, and cloud-native systems. Its strong support for concurrency and distributed systems makes it popular for backend development, big data processing with Apache Spark, and data science applications.
- Reasons for Scala's popularity
-
- Concurrency Model: Scala’s support for asynchronous and concurrent programming, through tools like Akka and Futures, makes it highly effective for handling distributed and real-time systems.
- Big Data Compatibility: Scala’s integration with Apache Spark has made it the go-to language for big data processing, enabling developers to write efficient code for large-scale data analytics.
- Code Simplicity and Readability: Scala’s concise syntax and functional programming features reduce boilerplate code, leading to simpler, more maintainable applications.
- JVM Compatibility: Scala’s ability to run on the JVM allows it to interoperate with Java libraries and frameworks, providing flexibility for developers and businesses transitioning from Java.
- Strong Ecosystem and Libraries: Scala boasts a robust ecosystem, with powerful frameworks for web development, data processing, and testing, making it a versatile choice for many types of applications.
- Growing Demand for Functional Programming: As the demand for functional programming grows, Scala continues to be a popular choice for businesses looking to build efficient and reliable software.
- Useful Links
-
1. Functional and Object-Oriented Programming
Scala combines the best of both functional and object-oriented programming paradigms. This flexibility allows developers to write concise, expressive, and efficient code, leading to faster development cycles and easier code maintenance.
2. Scalability and Concurrency
Scala’s strong support for concurrency, especially with frameworks like Akka, makes it ideal for building scalable and distributed systems that can handle large workloads and real-time data processing.
3. Seamless Integration with Java
Scala runs on the Java Virtual Machine (JVM), allowing it to interoperate with existing Java code. This makes it easy to introduce Scala into Java projects and take advantage of both languages’ strengths.
Scala is primarily used for building scalable, high-performance applications in areas such as data processing, microservices, machine learning, and cloud-native systems. Its strong support for concurrency and distributed systems makes it popular for backend development, big data processing with Apache Spark, and data science applications.
- Concurrency Model: Scala’s support for asynchronous and concurrent programming, through tools like Akka and Futures, makes it highly effective for handling distributed and real-time systems.
- Big Data Compatibility: Scala’s integration with Apache Spark has made it the go-to language for big data processing, enabling developers to write efficient code for large-scale data analytics.
- Code Simplicity and Readability: Scala’s concise syntax and functional programming features reduce boilerplate code, leading to simpler, more maintainable applications.
- JVM Compatibility: Scala’s ability to run on the JVM allows it to interoperate with Java libraries and frameworks, providing flexibility for developers and businesses transitioning from Java.
- Strong Ecosystem and Libraries: Scala boasts a robust ecosystem, with powerful frameworks for web development, data processing, and testing, making it a versatile choice for many types of applications.
- Growing Demand for Functional Programming: As the demand for functional programming grows, Scala continues to be a popular choice for businesses looking to build efficient and reliable software.
Add top 1% devs to
your in-house teams
Tap into the expertise of our top 1% developers. Staff augmentation lets you boost your in-house teams with specialized experts. Expedite timelines without sacrificing output quality.
Here’s how we augment your team
STEP 1
Discovery Call
Share your requirements, budget, and necessary skill sets. We will draft a working timeline and select top developers for your team.
STEP 2
Assembling Your Team
Withindays, we’ll find suitable developers that fit your requirements. We ensure they have the right technical expertise and would be a great cultural fit for your team.
STEP 3
Onboarding and Scaling
After onboarding them, our developers will integrate with your team. Scale your engagement as needed – we’re happy to accommodate your demands.
Get an
entire Team
Looking to bring on more than just a few .NET developers? We’ll assemble a complete crew to support you. Whether it’s full-cycle front and back-end web development, QA, DevOps, UX/UI, or something else. Monitor the team’s performance and manage them as you see fit.
Here’s how you can get a dedicated team
STEP 1
Discovery Call
We’ll learn about your business, organization structure, objectives, budget, timelines, and resource requirements. Then, we can start identifying the ideal talent for you.
STEP 2
Team Assembly and Integration
Once we assemble your dedicated team, we’ll ensure a smooth transition as they integrate with your organization.
STEP 3
Project Kickoff
After onboarding, your team is at your disposal. You’ve now acquired the resources you need without the hassle and high cost that usually comes with recruitment