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Qubole

Prepare, integrate and explore Big Data in the cloud (Hive, MapReduce, Pig, Presto, Spark and Sqoop)
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What is Qubole?

Qubole is a cloud based service that makes big data easy for analysts and data engineers.
Qubole is a tool in the Big Data as a Service category of a tech stack.

Who uses Qubole?

Companies
5 companies reportedly use Qubole in their tech stacks, including Pinterest, KeepTruckin, and SaleCycle.

Developers
30 developers on StackShare have stated that they use Qubole.
Pros of Qubole
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Simple UI and autoscaling clusters
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Feature to use AWS Spot pricing
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Optimized Spark, Hive, Presto, Hadoop 2, HBase clusters
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Real-time data insights through Spark Notebook
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Hyper elastic and scalable
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Easy to manage costs
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Easy to configure, deploy, and run Hadoop clusters
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Backed by Amazon
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Gracefully Scale up & down with zero human intervention
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All-in-one platform
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Backed by Azure

Qubole's Features

  • Intuitive GUI
  • Optimized Hive
  • Improved S3 Performance
  • Auto Scaling
  • Spot Instance Pricing
  • Managed Clusters
  • Cloud Integration
  • Cluster Lifecycle Management

Qubole Alternatives & Comparisons

What are some alternatives to Qubole?
Databricks
Databricks Unified Analytics Platform, from the original creators of Apache Spark™, unifies data science and engineering across the Machine Learning lifecycle from data preparation to experimentation and deployment of ML applications.
Snowflake
Snowflake eliminates the administration and management demands of traditional data warehouses and big data platforms. Snowflake is a true data warehouse as a service running on Amazon Web Services (AWS)—no infrastructure to manage and no knobs to turn.
MySQL
The MySQL software delivers a very fast, multi-threaded, multi-user, and robust SQL (Structured Query Language) database server. MySQL Server is intended for mission-critical, heavy-load production systems as well as for embedding into mass-deployed software.
PostgreSQL
PostgreSQL is an advanced object-relational database management system that supports an extended subset of the SQL standard, including transactions, foreign keys, subqueries, triggers, user-defined types and functions.
MongoDB
MongoDB stores data in JSON-like documents that can vary in structure, offering a dynamic, flexible schema. MongoDB was also designed for high availability and scalability, with built-in replication and auto-sharding.
See all alternatives

Qubole's Followers
104 developers follow Qubole to keep up with related blogs and decisions.