Qubole vs Snowflake
May 27, 2023 | Author: Michael Stromann
See also:
Top 10 Big Data platforms
Top 10 Big Data platforms
Qubole and Snowflake are two prominent players in the field of cloud-based data platforms, each with its own unique strengths. Qubole, an autonomous data platform, focuses on providing end-to-end data management and analytics solutions. It offers a comprehensive set of tools for data ingestion, processing, and analysis, all within a user-friendly interface. Qubole's platform excels at enabling data teams to collaborate effectively and automate various aspects of data workflows. On the other hand, Snowflake, a data warehouse platform, is renowned for its scalability and performance. It provides a highly elastic and fully managed environment for storing and analyzing vast amounts of data. Snowflake's architecture enables separation of storage and compute, resulting in excellent query performance and efficient resource allocation.
See also: Top 10 Big Data platforms
See also: Top 10 Big Data platforms
Qubole vs Snowflake in our news:
2021. Cloud security startup Lacework has raised $525M
Lacework, a cloud security startup that offers a solution built on the Snowflake platform, has raised $525 million in its Series D funding round, bringing its total funding to over $1 billion. The company reported a remarkable 300% year-over-year revenue growth for the second consecutive year. Investors and customers have shown significant interest due to the comprehensive nature of Lacework's security solution. It enables companies to securely build in the cloud and covers multiple market categories to meet diverse customer needs. This includes services such as configuration and compliance, infrastructure-as-code security, vulnerability scanning during build time and runtime, as well as runtime security for cloud-native environments like Kubernetes and containers.
2014. Big Data as a Service company Qubole raises $13 million
Hadoop-as-a-service startup, Qubole, has secured $13 million in a series B venture capital funding round. Qubole operates on the Amazon Web Services cloud and is also compatible with Google Compute Engine. It functions as a cloud-native Hadoop service, featuring a user-friendly graphical interface, connectors to various data sources (including cloud object stores), and takes advantage of cloud capabilities such as autoscaling and spot pricing for computing resources. Qubole stands out by offering optimized versions of Hive and other MapReduce-based tools, but it also enables data analysis through the use of Facebook's Presto SQL-on-Hadoop engine. Additionally, Qubole is developing a service centered around the Apache Spark framework, which has gained significant popularity due to its speed and efficiency.