Top Big Data Companies
Looking for a top big data companies in the USA? DataFlareUp top to bottom research will support you to pick the right leading business intelligence & big data analytics consulting company that can help you in big data services & data analytics to make the perfect decision for your business.
We will help you to find the best big data solutions provider for your business. We do have curated a list of 10 most promising big data companies after extensive research based on their genuine client reviews, loyalty, and flexibility.
List of Top Big Data Companies | Best Big Data Analytics Firms
- Indium Software
- Spec India
- Sigma Data Systems
- Happiest Minds
With growing needs of analysing vast scales of data, Big Data Engineering services have emerged as a separate stream along with Data Science. While Data Science deals with generating insights from data, Data Engineering deals with managing and preparing the data for business analysis.
Data Engineering was originally limited to data management on traditional data platforms like RDBMS, Datawarehouses (DW), Datamarts, etc,. Data Architects designed and managed the data models, data governance, master data management and data security.
ETL Engineers used to manage data pipelines and Data Analysts mostly generated reports using basic SQL and reporting tools. The statisticians ran models on the traditional data sets. In the last decade or so, the growth of data volume has become exponential in most of the industries.
Traditional ETLs, Databases and statistical models couldn’t handle the volumes. Along with volume, there is an increasing need for analytics on variety of data, real-time data and quality of data. This triggered the need for Big Data platforms and Data Engineering for Big Data.
At Indium, we leverage our end-to-end Big Data consulting services and Advanced Analytics solutions delivery expertise, to be the ideal Big Data service provider that will help meet your business objectives, time-to-market and TCO objectives.
Oracle offers fully integrated cloud applications, platform services with more than 420,000 customers and 136,000 employees across 145 countries. It has a Market capitalization of $182.2 billion and sales of $37.4 B as per Forbes list.
Oracle is the biggest player in the Big Data area, it is also well known for its flagship database. Oracle leverages the benefits of big data in the cloud. It helps organizations to define its data strategy and approach which includes big data and cloud technology.
It provides a business solution that leverages Big Data Analytics, applications, and infrastructure to provide insight for logistics, fraud, etc. Oracle also provides Industry solutions which ensure that your organization takes advantage of Big Data opportunities.
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Oracle’s Big Data industry solutions address the growing demand for different industries such as Banking, Health Care, Communications, Public Sector, Retail, etc. There are a variety of Technology solutions such as Cloud Computing, Application Development, and System Integration.
Oracle offers different products as below:
- Oracle Big Data Preparation Cloud Services
- Oracle Big Data Appliance
- Oracle Big Data Discovery Cloud Services
- Data Visualization Cloud Service
At Intellias, we leverage advanced big data and business intelligence tools to help clients extract actionable insights from diverse data sets generated in real time and at a large scale. We enable organizations to consolidate massive volumes of structured, semi-structured, and unstructured data coming from different sources into a holistic environment that can be used for modelling and predicting new market opportunities.
Intellias experts offer a full range of big data services, from consulting and strategy definition to infrastructure maintenance and support, enabling our clients to get vital insights from previously untapped data assets. We apply a proprietary big data framework combined with popular open-source technologies like Apache Hadoop, Spark, and Kafka as well as machine learning and deep learning algorithms to deliver a comprehensive tool set for storing, processing, and analyzing large quantities of data.
International Business Machine (IBM) is an American company headquartered in New York. IBM is listed at # 43 in Forbes list with a Market Capitalization of $162.4 billion as of May 2017. The company’s operation is spread across 170 countries and the largest employer with around 414,400 employees.
IBM has a sale of around $79.9 billion and a profit of $11.9 billion. In 2017, IBM holds most patents generated by the business for 24 consecutive years.
IBM is the biggest vendor for Big Data-related products and services. IBM Big Data solutions provide features such as store data, manage data and analyze data.
There are numerous sources from where this data comes and accessible to all users, Business Analysts, Data Scientist, etc. DB2, Informix, and InfoSphere are popular database platforms by IBM which supports Big Data Analytics. There are also famous analytics applications by IBM such as Cognos and SPSS.
IBM’s Big Data Solutions are as below:
#1) Hadoop System: It is a storage platform that stores structured and unstructured data. It is designed to process a large volume of data to gain business insights.
#2) Stream Computing: Stream Computing enables organizations to perform in-motion analytics including the Internet of Things, real-time data processing, and analytics
#3) Federated discovery and Navigation: Federated discovery and navigation software help organizations to analyze and access information across the enterprise. IBM provides below listed Big Data products which will help to capture, analyze, and manage any structured and unstructured data.
#4) IBM® BigInsights™ for Apache™ Hadoop®: It enables organizations to analyze a huge volume of data quickly and in a simple manner.
#5) IBM BigInsights on Cloud: It provides Hadoop as a service through the IBM SoftLayer cloud infrastructure.
#6) IBM Streams: For critical Internet of Things applications, it helps organizations to capture and analyze data in motion.
Trianz simplifies digital evolutions through effective strategies and excellence in execution. Collaborating with business and technology leaders, Trianz helps formulate and execute operational strategies to achieve intended business outcomes by bringing the best of consulting, technology experiences and execution models.
Powered by knowledge, research, and perspectives, Trianz enables clients to transition to a digital enterprise by leveraging Cloud, Analytics, Digital, Infrastructure and Security paradigms. With offices in Silicon Valley, Washington DC Metro, Rosemont, Chicago, Austin, Boston, Denver, Irvine, Raleigh, San Francisco, Seattle, New York, Dubai, Bengaluru, Hyderabad and Chennai, Trianz serves Fortune 1000 and emerging organizations across industries globally.
SPEC INDIA is an ISO/IEC 27001:2013 company with 30+ years of established experience. We specialize in Custom Software Development, Web & Mobile App Development, BI & Analytics Solutions, Automation & Security Testing, Legacy Software Migration, Product Engineering, and IoT Solutions.
SPEC INDIA has a team of 300+ Consultants, who are committed to delivering Quality Solutions to Global Customers. Our Extended Development Centers and Innovative Onshore/Offshore Models help us service Fortune 500 companies, SME’s and Startups globally.
In our 30 years journey, we have acquired Domain Expertise across Industry Verticals like Retail & FMCG, Sales & Distribution, Manufacturing, Healthcare, Shipping & Logistic, Energy & Utilities, and Real Estate. SPEC’s Vibrant team understands the Global Culture and our Customer-First Approach ensures utmost customer satisfaction.
Sigma Data Systems
Sigma understands the criticality of each piece of data in today’s world and in the next generation. Sigma was born to give its expertise in the world of Big Data! It has pre-define workshop patterns to understand the problem based on this it provides unique solutions to every customer using various tools and frameworks.
Most organizations grapple with quintillions of bytes of data every day, trying to figure out an information management strategy that could accelerate the flow of insights. This significantly complicates their big data solutions, increasing the cost of implementation and upkeep. However, big data engineering is not about using every bit of data originating from every source, it’s about making the smart decisions that accelerate business growth.
Happiest Minds Big Data Engineering services enable organizations to conceptualize and implement a well-thought-out big data program across multiple domains and focus areas. We help our clients account for scale and platform readiness while developing Big Data Engineering capabilities to drive vision and value. Our big data solutions enable organizations to:
- Find the right approach to collecting and connecting with data.
- Connect the dots across data silos for generating actionable insights.
- Develop and implement big data solutions across all business verticals.
- Identify and resolve big data security risks ahead of time.
- Maintain and manage big data services with ease.
We help organizations garner the right customer insights leading to newer revenue sources through cross sell and up sell driving profitability. From strategy road map, tech evaluation, and proof of concept to platform customization and implementation, our experts are always at hand to help you navigate all stages on your big data journey.
ScienceSoft is a US-headquartered provider of big data solutions and services with 32+ years of experience in data analytics and data science.
ScienceSoft’s expertise covers a comprehensive list of big data technologies, including:
- Apache Hadoop ecosystem (Hadoop Common, Hadoop Distributed File System, Hadoop YARN, Hadoop MapReduce, Hadoop Ozone)
- Apache Spark
- Apache Hive
- Apache Cassandra
- Amazon big data ecosystem (Amazon EMR, Amazon S3, Amazon DynamoDB, Amazon Kinesis, Amazon Redshift, etc.)
- Microsoft Azure big data ecosystem (Azure Data Lake Storage, Azure Cosmos DB, Azure Stream Analytics, Azure Synapse Analytics, etc.), and more.
ScienceSoft helps organizations store and manage big data cost-effectively, as well as derive actionable insights out of big data by enabling:
- Operational analytics
- Customer (behavior) analytics
- Risk management and fraud detection
- Asset tracking and monitoring
- Predictive maintenance
- Supply chain optimization
- Personalization (personalized marketing, personalized care plan recommendations, etc.)
- Remote staff/patient monitoring, etc.
Being ISO 9001 and ISO 27001 certified, ScienceSoft delivers big data solutions relying on a mature quality management system and applying security protocols to eliminate any risk to customers’ data security.
ScienceSoft’s big data service offering includes:
Big Data Consulting
- Big data solution implementation/evolution strategies and roadmaps.
- Big data solution architecture.
- Big data tech selection.
- Big data quality management.
- User adoption strategy, etc.
Big Data Implementation
- Big data solution implementation strategy.
- Big data solution architecture design.
- Big data solution development (a data lake, DWH, ETL/ELT setup, big data analysis, big data reporting, and dashboarding).
- Big data governance setup (big data quality, security, etc.).
- Predictive modeling with ML training and setup.
Big Data Solution Support
- Big data solution administration (software updates and reconfiguration, adding new users, etc.).
- Big data governance (big data cleaning, security, backup, and recovery).
- Big data solution health checks.
- Big data solution performance monitoring and troubleshooting.
Big Data Managed Analytics Services
- Getting your big data collected, processed, and presented in the form of predefined and ad hoc reports for a subscription fee.
iTechArt has been the partner of choice for fast-growing startups and innovative companies since 2002, providing fully dedicated engineering teams and custom software solutions. Headquartered in New York, the company has over 200 active clients worldwide, with 90 percent operating on the frontier of emerging technologies and markets.
Their forte is agile dedicated teams of engineers who leverage time-tested big data development services to help clients manage data more effectively and efficiently.
Their Big Data Expertise:
- Artificial neural networks
- AI algorithms and applications
- Natural language processing (NLP)
- IoT solution development
- Big data cluster management
- Parallel computing
- GPU processing
- Data governance
- Real-time/Batch processing
In this article, we have seen the top Big Data Companies. This is not an exhaustive list and there are many other companies who are startup now but have the capabilities to grow faster. This will be challenging for the other rival companies.
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