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Alooma vs Qubole: What are the differences?
Developers describe Alooma as "Integrate any data source like databases, applications, and any API - with your own Amazon Redshift". Get the power of big data in minutes with Alooma and Amazon Redshift. Simply build your pipelines and map your events using Alooma’s friendly mapping interface. Query, analyze, visualize, and predict now. On the other hand, Qubole is detailed as "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.
Alooma and Qubole can be categorized as "Big Data as a Service" tools.
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Pros of Qubole
Pros of Alooma
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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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What is Alooma?
Get the power of big data in minutes with Alooma and Amazon Redshift. Simply build your pipelines and map your events using Alooma’s friendly mapping interface. Query, analyze, visualize, and predict now.
What is Qubole?
Qubole is a cloud based service that makes big data easy for analysts and data engineers.
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Jobs that mention Alooma and Qubole as a desired skillset
What companies use Alooma?
What companies use Qubole?
What companies use Alooma?
What companies use Qubole?
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What tools integrate with Alooma?
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What tools integrate with Alooma?
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What are some alternatives to Alooma and Qubole?
Stitch
Stitch is a simple, powerful ETL service built for
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Segment
Segment is a single hub for customer data. Collect your data in one place, then send it to more than 100 third-party tools, internal systems, or Amazon Redshift with the flip of a switch.
Datadog
Datadog is the leading service for cloud-scale monitoring. It is used by IT, operations, and development teams who build and operate applications that run on dynamic or hybrid cloud infrastructure. Start monitoring in minutes with Datadog!
Talend
It is an open source software integration platform helps you in effortlessly turning data into business insights. It uses native code generation that lets you run your data pipelines seamlessly across all cloud providers and get optimized performance on all platforms.
Kafka
Kafka is a distributed, partitioned, replicated commit log service. It provides the functionality of a messaging system, but with a unique design.