Forbes states that 95% of businesses report the need to manage unstructured data as a significant problem for them. So, no wonder that there is a soaring demand for quality Big Data professionals, especially within the relevant domain expertise. But how to choose the Big Data service provider that fits your specific business needs and can become your strategic partner?
We have compiled a list of top providers of Big Data consulting firms to help you make a well-grounded decision.
Methodology:
We have researched Big Data service providers from several points of view: years of experience, verified client reviews and ratings on Clutch, GoodFirms, and The Manifest, security and cloud certifications, and documented project portfolios.
What’s more, we have browsed through their portfolios, websites, and LinkedIn profiles to help you make an informed decision and choose the best Big Data service provider.
We have researched the best Big Data service providers worldwide, so our list covers different locations (Eastern Europe, USA, UK, Latin America, India).
Here is the list of the best Big Data service providers that 1) focus mainly on Big Data and 2) offer wide-ranging expertise in Big Data, BI, Cloud Solutions, DevOps, Embedded, and more.
How to choose the best Big Data service provider?
There are some selection criteria that will be useful for you while choosing Big Data service providers that will meet your specific business requirements best.
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Location
Businesses report the lack of Big Data professionals, which hampers the results of Big Data adoption. So, it is vital to choose a location with a large talent pool and low to medium competition for it. For instance, the competition for Big Data experts in the USA and UK is fierce, so it is a serious challenge to find talent promptly.
In comparison, the number of Data Scientists and Big Data engineers in Eastern Europe exceeds 150,000, according to Linkedin. Global tech firms have since opened engineering centers across Poland and Romania, which has pushed local salaries up while also deepening the pool of engineers with hyperscaler experience.
Learn more about Big Data companies in Europe .
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Comprehensive expertise
Choose Data analytics consulting companies with versatile expertise, including Big Data, BI, Machine Learning/AI, Cloud Solutions, DevOps, Security, migration to microservices, etc., to cover different needs. Look for Big Data service providers that can help you not only launch your Big Data direction but also scale it efficiently and integrate smoothly into your operations.
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Portfolio
Choose Big Data service providers that have an extensive client portfolio. Check the projects these Big Data consulting firms were engaged in, as well as the reviews of the previous clients.
Also, your Big Data consulting company should have experience in working with clients in different industry domains.
Look for a vendor established enough to carry a multi-year program and structured enough to hand over what it builds.
Top Big Data service providers in the world
1. N-iX
N-iX is a global software engineering company with 24 years in the market and 2,400 specialists, including 200 data, AI, and Machine Learning experts. The company has built partnerships running five years and longer with businesses in the USA, UK, Germany, and the Nordics.
This Big Data service provider works with Gogo , a global in-flight connectivity provider, on its data analytics program, and helped Lebara , a multinational MVNO, build a data lake and rebuild its reporting. Its engineers work with Apache Spark, Databricks, Snowflake, BigQuery, Synapse Analytics, Kafka, Redshift, and Kubernetes.
2. SoftServe
This Big Data service provider was founded in Ukraine and is now headquartered in Austin, Texas, with around 10,000 specialists across Poland, Ukraine, Romania, Bulgaria, and Spain. The vendor covers data strategy, data platform engineering, analytics, BI, and generative AI, working with enterprise clients in financial services, healthcare, retail, manufacturing, and energy. Its engineers build on Databricks, Snowflake, AWS, Google Cloud, and Microsoft Azure, where the company holds premier partner status.
3. Globant
The Big Data analytics consulting company is headquartered in Buenos Aires, Argentina, and employs around 29,000 people across Latin America, Europe, and the USA. Founded in 2003 and listed on the New York Stock Exchange, the vendor serves enterprise clients in media, retail, banking, and travel. Its data practice covers data engineering, analytics, and AI, built mainly on AWS, Google Cloud, and Snowflake.
4. Software Mind
Founded in 1999 and headquartered in Krakow, Poland, this provider of Big Data consulting services employs around 2,000 specialists across Europe, the USA, and Latin America. The vendor covers data engineering, analytics, cloud migration, and AI, working with clients in telecommunications, fintech, healthcare, and media. It holds a 4.9 rating on Clutch, one of the highest on this list.
5. Perficient
This Big Data consulting firm is headquartered in St. Louis, Missouri, and delivers through nearshore centers in Colombia, acquired along with Medellin-based PSL in 2020, alongside teams in Mexico, India, and China. The vendor works with enterprise clients in financial services, healthcare, manufacturing, and automotive. Its data practice covers data engineering, analytics, and cloud platforms built on AWS, Azure, Google Cloud, and Databricks.
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Third Eye Data
This Silicon Valley-based provider of Big Data consulting services focuses on Data Science, Machine Learning, and Data Engineering and works primarily with enterprises and midmarket businesses in IT, retail, advertising, healthcare, and other industries. For Big Data engineering, they use Hadoop, Spark, Hive, Pig, and others. For building Data Science and ML models, they use Apache Spark.ML, Tensorflow, Caffe, etc.
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ScaleFocus
Established in 2012, this Bulgaria-based Big Data enterprise analytics provider helps businesses with Cloud Operations, Data Management, Smart Automation, and Digital Transformation. It works primarily with mid-market businesses and enterprises in telecom, banking, fintech, insurance, and other industries. This Big Data services company helps businesses with customer analytics, operational analytics, compliance, and risk reporting.
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Trianz
This Big Data analytics consulting company offers its clients expertise in Cloud, Big Data analytics, digital, infrastructure, and security paradigms. With offices in the USA, Dubai, and India, the vendor serves businesses in financial services, business services, healthcare, etc. In terms of Big Data, they use such tools and technologies as Hadoop, Microsoft BI, Oracle, Tableau, and many others.
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Keyrus
This international Big Data services company employs over 3000 consultants. They offer BI and Big Data consulting, IT strategy consulting, Cloud consulting, digital strategy, and Artificial Intelligence. Their Big Data specialists can help you with Big Data solutions using Microsoft BI, Tableau, Microstrategy BI, and many others. The vendor cooperates with midmarket and enterprise clients from retail, business services, healthcare, and other industries.
10. Infosys
Founded in 1981 and headquartered in Bengaluru, India, this Big Data service provider employs more than 300,000 people and is listed on the New York Stock Exchange. The vendor delivers data engineering, analytics, and AI through its Topaz and Cobalt platforms, serving clients in banking, insurance, retail, manufacturing, telecommunications, and energy. It runs delivery centers across India, Europe, North America, and Australia.
11. Endava
Headquartered in London and listed on the New York Stock Exchange, this provider of Big Data consulting services runs delivery centers across Romania, Moldova, Bulgaria, Poland, North Macedonia, Serbia, and Latin America, with around 12,000 people. The vendor covers data platform modernization, data engineering, analytics, and AI, working mainly with payments, banking, insurance, telecommunications, and mobility clients.
12. BIX Technology
This is one of the Data analytics consulting companies based in Brazil. Apart from BI and Big Data consulting services, they offer web development services and IT strategy consulting services. The vendor cooperates primarily with enterprise and mid-market businesses in consumer products and services, retail, manufacturing, and education. In terms of Big Data solutions, they use tools such as QlikTech BI, Microsoft BI, and others.
13. First Line Software
Headquartered in Cambridge, Massachusetts, this Big Data services company runs delivery centers in Czechia, Slovakia, Poland, the Netherlands, and North Macedonia, with around 450 specialists. The vendor focuses on data engineering, data platform modernization, and AI, serving clients in healthcare, retail, logistics, and higher education. Its teams build on Databricks, Snowflake, and the major cloud platforms.
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RapidOps Inc.
This is one of the Big Data consulting firms that operate in the USA, Canada, and India. The vendor offers custom software development, enterprise app optimization, BI and Big Data consulting, and mobile application development. The majority of their clients are enterprises and mid-market businesses in retail, business services, and IT. Their professionals build Big Data solutions using Hadoop, Mongo DB, Splunk, Tableau, and others.
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Indium Software
This Big Data consulting service company is headquartered in Princeton, New Jersey, with offices in Sunnyvale, Calif, London, Kuala Lumpur, Malaysia. Its global delivery centers are located in Chennai, India, and Bengaluru, India. The vendor has more than 500 employees on board. They provide services to small, mid-market, and enterprise-level clients. The company specializes in QA and testing, BI and Big Data consulting, as well as custom software development.
Why choose N-iX as your Big Data service provider?
- N-iX has been helping companies with Data Science and Big Data Analytics for over 10 years.
- The company has a Data Science Center of Excellence and has 200+ experienced data analytics experts.
- N-iX professionals can help you with Big Data architecture design, cloud-based Big Data solutions, developing platforms for data-driven decision making, data science software, machine learning algorithms, and customized data science applications and reports.
- Our specialists have experience with Apache Spark and Hadoop as well as the Hadoop ecosystem’s key components, such as Hive, Flume, Pig, Impala, Oozie, etc. Also, they use Apache Airflow and AWS cloud computing products such as Lambda, EC2, S3, and SQS. We are also skilled in working with AWS analytical tools, like EMR and Kinesis.
- We have developed Big Data solutions for such industry leaders as Gogo, a multinational MVNO Lebara, a British fintech company, and Fortune 500 companies.
FAQ
What does a Big Data service provider do?
A Big Data service provider designs and builds the systems that collect, store, process, and analyze data at scale. That covers data platform architecture, pipeline development, warehouse and lakehouse builds, BI and reporting, and machine learning. Most also handle migration from legacy systems and ongoing support once the platform is running.
Which region should you choose for Big Data outsourcing?
It depends on time zone overlap, rates, and the depth of talent you need. Eastern Europe offers large engineering benches on European working hours. Latin America suits US clients wanting same-day overlap. India provides the largest scale. Many enterprises split delivery across two regions to balance coverage and continuity.
How long does it take to deliver a Big Data project?
Timelines vary with data volume, source count, and how much legacy infrastructure is involved. As rough guidance, discovery and architecture runs six to eight weeks, a first production data platform three to six months, and full migration with legacy decommissioning twelve months or more. Scope each against your own systems.
What should you have in place before hiring a Big Data vendor?
A defined use case, access to the source systems, and someone internally who owns the data. Vendors can clean and consolidate data, though they cannot decide what a metric means or who approves a definition. Settling that before the engagement starts removes the most common cause of delay.
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