Businesses are generating a massive amount of data globally. According to estimates, Internet users generate about 2.5 quintillion bytes of data each day on average. It is expected that global data generation will reach 463 exabytes per day by 2025.
Companies have realized the importance of data management and almost 97.2% of companies are investing in big data and AI. However, with the rise of unstructured data sources and the increasing importance of data lakes, it has become critical for businesses to rely on data engineering companies for effective storage, processing, and deriving insights from the available data.
The big data and data engineering services market(Azure, AWS, Big Data, GCP) is expected to grow at a rate of 24.13% in the forecast period of 2024 to 2029.
The increase in the number of interconnected devices and awareness among companies to improve the level of data management processes is making it increasingly important to select the right data engineering company.
Companies need modern data engineering solutions to handle the rising amount of data being generated from various sources. A data engineering company helps design and build systems that can handle data collection, storage, and analysis at scale.
DataToBiz specializes in simplifying complex data engineering hurdles businesses face, offering innovative big data engineering solutions for businesses of all sizes(startups, mid-sized, or large-scale organizations). From digital transformation strategies, managed analytics, data warehousing, predictive analytics, and on-project staff augmentation services, DataToBiz caters to various industries, including FinTech, ecommerce, manufacturing, retail, e-commerce, IT, and healthcare.
With a notable global presence, DataToBiz works with clients in the US, UK, Middle East, India, and Australia, providing expert guidance in data engineering and analytics. Being the official partner of Google, AWS, and Microsoft, and continuously listed as a top Artificial Intelligence company over Clutch, DataToBiz helps businesses implement efficient data management systems and processes, enabling them to harness the full potential of their data assets.
Hummingbird was started in 2015 and it today boasts offices in New York, San Francisco and Denver. A data engineering and analytics firm, Hummingbird provides customized solutions to its clients. It has experience working with startups and even Fortune 500 companies. It has worked in industries like financial services, entertainment, and retail.
The data engineering team at Hummingbird follows an on-site and remote working model based on the requirements of the client. It has real-world experience in building data management solutions and deploying them at scale for a variety of its clients.
Mindtree is another global technology consulting and services firm that works in the field of data engineering. The strong global workforce of Mindtree enables several businesses to harness digital and cloud technologies to achieve business objectives. Partnered with over 275 of the world’s most pioneering companies, it brings forth extensive domain knowledge, relevant experience and expertise to deliver data engineering solutions as per the requirements of the client.
Part of the Larsen & Toubro Group, Mindtree is known for providing high-quality services and consistent results. For companies looking at reimagining business models and maximizing data management capabilities with data engineering, Mindtree can prove to be the right partner.
Databricks is known for providing solutions to the world’s toughest problems in the field of data management. As a leader in unified data analytics, it is a one-stop shop for data engineering and analytics requirements. With built-in data quality testing and support, the data engineering function at Databricks follows best practices for design and development.
Databricks is known for orchestrating reliable production workflows and focuses on getting the maximum value from data. With simplified data ingestion and automated ETL processing, the next-gen data processing engine provides a strong foundation for performance, reliability and governance.
Atos is a global leader in digital and IT technologies with a presence in over 71 countries and revenue of over 11 billion euros. It is a popular name in the European market, especially in the area of cybersecurity, and cloud & performance computing. Known for providing end-to-end solutions, it can provide cutting-edge data engineering design and frameworks that can redefine the data management strategy of any organization.
Atos is a SE (Societas Europaea) company that is listed on the Euronext Paris and is also a part of the CAC 40 ESG and Next 20 Paris Stock indexes. In other words, if you are looking for a global leader that has a large employee base of over 1 lakh people, Atos can be a good choice.
Deloitte is a global consulting firm that is committed to helping its clients become leaders wherever they choose to compete. Part of the Deloitte Touche Tohmatsu Limited network, it provides high-quality data analytics and engineering services to its clients. It works with a philosophy of building a stronger world with stronger clients. As a result, it brings together people from diverse backgrounds to deliver futuristic data engineering solutions and models to its clients.
Deloitte has a wide global reach among several developed and developing markets. It also has a strong reach in the area of big data and artificial intelligence. For businesses looking at a global partner that is strong on the consulting side, Deloitte can be a good choice.
Capgemini is another global name that is known for providing high-quality data engineering and analytics services for building an inclusive and sustainable future. Harnessing the power of technology, it has a strong presence in over 50 countries offering end-to-end data management solutions. Capgemini is a reliable name that is trusted by its clients mainly for handling the digital transformation of the business and accelerating the benefits of data management.
Capgemini is known for providing modern and relevant solutions in the area of cloud, data, AI, connectivity, software, and digital engineering. With a revenue of over 18 billion euros, it has a workforce of over 350,000 people and a 55-year heritage that can be a unique selling point for several clients.
Sigmoid is known for providing high-quality data engineering and data science solutions to help enterprises gain a competitive advantage with data-driven decision-making systems. It uses modern technologies like artificial intelligence and machine learning to deliver real-world impact and increase the impact of data in business operations.
The organization uses mature data engineering processes and works with the world’s largest data producers to generate faster business value, modernize the data management strategy of the business, and use AI systems effectively. Sigmoid has experience working in industries like retail, ad tech, healthcare, and financial services. The agile framework and future-ready mindset help Sigmoid to consistently stay ahead of the competition.
Way2Smile Solutions is a leading IT consultancy company that works with several clients from the government, large-sized businesses, and entrepreneurs. The organization works to achieve the client’s objective.
At the same time, it works with a traditional and modern approach to data engineering as a service and offers seamless frameworks and designs that help with accelerated data transformation.
iTechArt is an established data engineering organization that has a strong presence in regions like the USA and Canada. The organization is a managed data engineering and artificial intelligence company that extends software-as-a-service for building data engineering and data science workflows in the organization.
It works with several reputed names in industries like healthcare, financial services, and e-commerce. The company’s managed data engineering solutions help build and manage data engineering pipelines. The organization works in the business of collecting, cleaning, and shaping data. Apart from data engineering, the company works in the areas of machine learning and artificial intelligence.
InData Labs, headquartered in San Francisco, California, has emerged as a leading data engineering firm with a global reach. They specialize in providing comprehensive data engineering solutions, tailored to meet the unique needs of businesses across various industries.
With a proven track record of success, InData Labs has served a diverse client base, including Fortune 500 companies, startups, and government agencies. Their expertise spans data collection, analysis, and strategy development, enabling organizations to harness the power of their data for competitive advantage. Notable clients such as Walmart, Pfizer, and Cisco have benefited from InData Labs’ innovative data engineering solutions.
Ideas2IT Technologies, based in Chennai, India, has rapidly gained recognition as a rising star in the data engineering landscape. They offer a comprehensive range of data engineering services, coupled with their expertise in software development and product engineering.
Ideas2IT has successfully served clients across various industries, from startups to large enterprises, providing tailored solutions to address their specific data challenges. While they maintain a confidential client list, their portfolio showcases successful projects with renowned companies like Zoho, HCL Technologies, and Wipro.
Terralogic Inc., headquartered in Toronto, Canada, is a prominent data engineering firm serving clients across North America. With a focus on startups, mid-sized companies, and enterprises, Terralogic delivers innovative data engineering solutions tailored to their unique needs.
They have a strong track record of success in technology, healthcare, and finance, working with renowned clients like Intuit, Autodesk, and Manulife. Terralogic’s expertise in data engineering enables businesses to extract valuable insights from their data, drive informed decision-making, and achieve competitive advantage.
Now that you are aware of the best data engineering companies in the world, it is the right point to understand how you can select the right one. Here are some of the points that can help you make the right choice:
Before even looking at what the data engineering partner can bring to the table, it is important to assess the objectives that the business plans to achieve. Once you are clear on the objectives, it will be much easier to shortlist the best partner matching your needs.
It is always a good idea to look at the experience of the prospective partner. You can go through the case studies of other players in the same industry or a related business. This can help you give more information about the overall approach of the prospective partner toward data engineering.
Another good barometer that can help you identify a capable data engineering partner is by assessing the partner status for a variety of tools. These partnerships can be proof of the experience of the team in data engineering consulting. At the same time, they can also stand for the exposure of the organization to several big data engineering services.
It is a good idea to opt for a partner that is willing to adopt a flexible approach towards building flexible data engineering solutions that can be customized as per requirements. The flexible approach can also prove to be helpful when handling unstructured data under the data engineering frameworks.
Now that you have a clear understanding of the best data engineering service providers in 2024 and what factors should be considered when selecting big data engineering companies, it is the right time to identify the business requirements and get started with building data engineering solutions to help improve the use of data in day-to-day business.
Data engineering is the process of designing, building, and maintaining data systems that support data analysis and decision-making. It involves tasks such as data collection, storage, cleaning, transformation, and integration. Data engineering is essential for businesses because it enables them to extract valuable insights from their data, improve efficiency, and gain a competitive edge.
Data engineers typically need a strong foundation in computer science, mathematics, and statistics. They should have expertise in programming languages like Python, SQL, and Java, as well as experience with data management tools and databases. Additional skills that can be beneficial include knowledge of cloud computing platforms (AWS, GCP, Azure), data warehousing, and data modeling.
Data engineering plays a crucial role in supporting a successful data strategy. By designing and implementing robust data systems, data engineers can ensure that businesses have access to high-quality, reliable data. This enables them to make data-driven decisions, improve operational efficiency, and identify new opportunities for growth.
Data engineering teams often encounter various challenges, including:
Data quality issues: Incomplete, inaccurate, or inconsistent data can hinder analysis and decision-making.
Scalability: As businesses grow, their data volumes may increase, requiring scalable data infrastructure.
Data governance: Ensuring data security, privacy, and compliance with regulations is crucial.
Talent acquisition: Finding and retaining skilled data engineers can be challenging.
When selecting a data engineering company, consider the following factors:
Experience and expertise: Look for companies with a proven track record in data engineering and relevant industry experience.
Technology stack: Ensure that the company’s technology stack aligns with your business needs.
Client references: Ask for references from previous clients to get insights into their experience.
Data governance and security: Verify the company’s commitment to data security and compliance.
Communication and collaboration: Effective communication and collaboration are essential for a successful partnership.
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