Top Private Cloud Service Providers For Data Analytics

Maintaining data centres is not a core competency for many enterprises. So, many companies started surfacing over the past decade promising to alleviate the enterprise woes by offering seamless intelligence services via the cloud; a new tribe of cloud platforms known as private cloud services came to the fore. These startups allowed customers to shift that burden by virtualising hardware for storage and compute, integrating multiple intelligent platforms and offloading cumbersome maintenance to experts. 

IT companies are rapidly migrating to the cloud as it has become the ideal channel for delivering enterprise analytics. This was further fueled by the COVID-19 pandemic. Cloud data stores are so performant that complex queries on massive data now execute in seconds.

In this article, we take a look at the fastest growing cloud service providers for B2B data analytics, AI and more. The list is arranged in the order of the funding released so far. (Funding details via Forbes The Cloud 100)


Funding: $1.4 billion

The Sydney based cloud data platform, Snowflake, which made the headlines by raising $3.36 billion in its IPO last month. Backed by Warren Buffet, this cloud startup also became 2020′s biggest IPO. Snowflake is a fully-managed service that’s simple to use but can power a near-unlimited number of concurrent workloads. Snowflake offers solutions for data warehousing, data lakes, data engineering, data science, data application development, and for securely sharing and consuming shared data.


Funding: $930 million

Samsara, which claims to be the leader in Industrial IoT markets was founded in 2015 and today powers over 2 million networks worldwide. Headquartered in San Francisco, Samsara’s portfolio of complete Internet of Things (“IoT”) solutions combine hardware, software, and cloud to bring real-time visibility, analytics, and AI to operations. The company serves over 15,000 customers across diverse sizes and industries, from transportation and logistics to field services, food production, energy, construction, local governments, and manufacturing.


Funding: $897 million

Founded in 2013 by the creators of Apache Spark™, Delta Lake and MLflow, Databricks marries data engineering, science and analytics on an open, unified platform so that the customers can collaborate and innovate faster. Headquartered in San Francisco, the company’s global partners include Microsoft, Amazon, Tableau, Informatica, Cap Gemini and Booz Allen Hamilton. More than 5,000 organisations worldwide —including Shell, Conde Nast and Regeneron — rely on Databricks for data science, full-lifecycle machine learning and business analytics. 



Funding: $553 million

Rubrik offers a one-stop solution for all the data hurdles an organisation has to overcome. The solutions include cloud, at the edge, or on-prem for backup, disaster recovery, archival, compliance, analytics, and copy data management. Rubrik calls itself an intelligent Data Management stack where every layer is independently resistant to failures. The platform is designed to run on-prem, or on the cloud, the stack is anchored by Infinity (API ), Cerebro and Atlas (cloud-scale file system built from scratch. 

Rubrik’s Blob Engine and Distributed Task Framework orchestrate data from on-prem to cloud so that the data can be retrieved quickly in real-time. Unlike legacy solutions, Rubrik has integrated an API-first architecture and consumes the same APIs published and offered to users.


Funding: $456 million

Built by the original creators of Apache Kafka, Confluent Cloud is the industry’s only fully managed, cloud-native event streaming platform powered by Apache Kafka. Apache Kafka is an open-source, distributed streaming platform that enables 100,000+ organisations globally to build event-driven applications at scale. Confluent cloud provides a simple, scalable, resilient, and secure event streaming platform for the cloud-first enterprise, the DevOps-starved organisation, or the agile developer on a mission.


Funding: $431 million

DataRobot’s enterprise AI platform offers seamless cloud integration with all of the preferred hosting providers. Supported by all of the major cloud hosting providers, DataRobot allows users to scale their infrastructure securely and at less costs, without having to commit to one cloud vendor for storage, compute, and machine learning. DataRobot’s multi-cloud strategies include cloud data integration with AWS, Microsoft Azure, and GCP. 


Funding: $270 million

Ever since its first commercial release in 2010, Sisense has grown to become an industry leader with over $100M in annual recurring revenue, over $200M in funding. 

With more than 2,000 global customers, Sisense for Cloud Data Teams provides data teams with the ability to build cloud data pipelines, perform advanced analysis using languages they already know like SQL, Python, and R, and create advanced, custom visualizations to easily share insights.

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Ram Sagar
I have a master's degree in Robotics and I write about machine learning advancements.

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