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Qubole vs Azure Synapse: What are the differences?
What is Qubole? Prepare, integrate and explore Big Data in the cloud (Hive, MapReduce, Pig, Presto, Spark and Sqoop). Qubole is a cloud based service that makes big data easy for analysts and data engineers.
What is Azure Synapse? Analytics service that brings together enterprise data warehousing and Big Data analytics. It is an analytics service that brings together enterprise data warehousing and Big Data analytics. It gives you the freedom to query data on your terms, using either serverless on-demand or provisioned resources—at scale. It brings these two worlds together with a unified experience to ingest, prepare, manage, and serve data for immediate BI and machine learning needs.
Qubole belongs to "Big Data as a Service" category of the tech stack, while Azure Synapse can be primarily classified under "Big Data Tools".
Some of the features offered by Qubole are:
- Intuitive GUI
- Optimized Hive
- Improved S3 Performance
On the other hand, Azure Synapse provides the following key features:
- Complete T-SQL based analytics – Generally Available
- Deeply integrated Apache Spark
- Hybrid data integration
Pros of Azure Synapse
- ETL4
- Security3
- Serverless2
- Doesn't support cross database query1
Pros of Qubole
- Simple UI and autoscaling clusters13
- Feature to use AWS Spot pricing10
- Optimized Spark, Hive, Presto, Hadoop 2, HBase clusters7
- Real-time data insights through Spark Notebook7
- Hyper elastic and scalable6
- Easy to manage costs6
- Easy to configure, deploy, and run Hadoop clusters6
- Backed by Amazon4
- Gracefully Scale up & down with zero human intervention4
- All-in-one platform2
- Backed by Azure2
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Cons of Azure Synapse
- Dictionary Size Limitation - CCI1
- Concurrency1
