At the end of the year 2018, Cloudera and Hortonworks announced their merger of $5.2 billion, becoming the second largest open source software company in the world. Previously, both Cloudera and Hortonworks were one of the leading big data technology providers and with this merger, it is aimed to become the top choice for enterprise big data analytics.
Make data your best business asset with Cloudera. Cloudera Enterprise Hub is one of the fastest big data tools that make it a reality to conduct tailored analytics with minimal intervention. Realize in-depth insights, perform advanced analytics, and implement a consistent data experience with our Cloudera big data consulting.
Experience Elastic Cloud with Cloudera Big Data Analytics
Industry’s first enterprise cloud that makes flexible, sophisticated data-driven solutions possible.
Cloudera is a prime innovator in big data with advanced and revolutionary big data management solutions and analytics. In a nutshell, Cloudera is a big data software platform that allows storing, processing, and flexibly analyzing data. You can store your raw data in the cloud platform and deploy smart algorithms to extract business intelligence from them. You can also use Cloudera with Hadoop and its associated tools. Our team of Cloudera big data solutions experts will help you with Cloudera Hadoop implementation as well as for analytics solutions.
Worry no more about the long-winding data silos with the parallel, multi-functional operations of Cloudera right from the source.
Strict Data Governance
Conduct ultra-fast data scanning with Apache Phoenix Cloudera and develop next-gen data solutions with interactive tables.
Enjoy maximum interoperability and complete flexibility with Cloudera’s pricing structure based only on your needs.
A holistic cloud data platform focusing on speed, security, and performance.
Be it for any business and any extent of data science applications, Cloudera has the complete package that can be customized to become the solution for the business challenges. It ticks all the boxes that companies look for in an analytics platform - maximum security, unparalleled efficiency and advanced, time-sensitive analytics.
Data Science Collaborative
Collaborative data science with modern, open-source tools to accelerate solutions.
On-demand Driven Model
Leverage on-demand computation of data with innovative, self-service solutions by Cloudera big data consulting experts.
Develop and deploy workspaces in just a few clicks and share data access securely.
We deliver Cloudera Consulting Services across
Frequently Asked Questions
Have any more questions about Cloudera or our services in general? Well, here are answers to some common questions on Cloudera services.
Cloudera is hands-down the best data platform to choose due to its numerous functions that has something for every industry’s requirements. Since it’s developed by Apache, it can be easily integrated with the other Apache platforms which give you immense opportunities in the future to expand your data capabilities easily.
When you have a specific need in mind from Cloudera, we can help in realizing it. By considering your data needs and the resource limitations, we customize and create new pipelines of data processes to give you the intended output.
Yes, we assist in integrating your existing Cloudera with physical IoT devices and also facilitate in implementing new Cloudera DataFlow platform (CDF) for IoT.
Though we are connected remotely, we ensure the locations doesn’t stand in the way of our services. We work at your local timezone and will always be available to chat, talk, discuss and hold meetings regularly. We will give you regular updates like your in-house team. You won’t feel the difference of us being a remote team due to our connected, agile approach.
Yes, you can. We have big data experts, data analysts and experts on various Apache platforms who can work together as a team to implement a wholesome data management and analytics platform with Cloudera. This team can guide you with choosing the data warehouses, migration of data, setting up ETL pipelines, customizing the dashboards, integrating with the other related systems and deploying the complete setup.