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Altiscale
Altiscale

5
7
+ 1
28
Qubole
Qubole

13
22
+ 1
50
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Altiscale vs Qubole: What are the differences?

Developers describe Altiscale as "Hadoop as a Service". we run Apache Hadoop for you. We not only deploy Hadoop, we monitor, manage, fix, and update it for you. Then we take it a step further: We monitor your jobs, notify you when something’s wrong with them, and can help with tuning. 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.

Altiscale and Qubole can be primarily classified as "Big Data as a Service" tools.

Some of the features offered by Altiscale are:

  • Hadoop Dialtone
  • “Infinite” Hadoop
  • A Proactive Hadoop Helpdesk

On the other hand, Qubole provides the following key features:

  • Intuitive GUI
  • Optimized Hive
  • Improved S3 Performance

"Our data sci & analysts would scream if went back toEMR" is the primary reason why developers consider Altiscale over the competitors, whereas "Simple UI and autoscaling clusters" was stated as the key factor in picking Qubole.

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What is Altiscale?

we run Apache Hadoop for you. We not only deploy Hadoop, we monitor, manage, fix, and update it for you. Then we take it a step further: We monitor your jobs, notify you when something’s wrong with them, and can help with tuning.

What is Qubole?

Qubole is a cloud based service that makes big data easy for analysts and data engineers.
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      What tools integrate with Altiscale?
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        What are some alternatives to Altiscale and Qubole?
        Amazon Redshift
        It is optimized for data sets ranging from a few hundred gigabytes to a petabyte or more and costs less than $1,000 per terabyte per year, a tenth the cost of most traditional data warehousing solutions.
        Google BigQuery
        Run super-fast, SQL-like queries against terabytes of data in seconds, using the processing power of Google's infrastructure. Load data with ease. Bulk load your data using Google Cloud Storage or stream it in. Easy access. Access BigQuery by using a browser tool, a command-line tool, or by making calls to the BigQuery REST API with client libraries such as Java, PHP or Python.
        Amazon EMR
        It is used in a variety of applications, including log analysis, data warehousing, machine learning, financial analysis, scientific simulation, and bioinformatics.
        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.
        Stitch
        Stitch is a simple, powerful ETL service built for software developers. Stitch evolved out of RJMetrics, a widely used business intelligence platform. When RJMetrics was acquired by Magento in 2016, Stitch was launched as its own company.
        See all alternatives
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        How developers use Altiscale and Qubole
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        Pinterest uses QuboleQubole

        We ultimately migrated our Hadoop jobs to Qubole, a rising player in the Hadoop as a Service space. Given that EMR had become unstable at our scale, we had to quickly move to a provider that played well with AWS (specifically, spot instances) and S3. Qubole supported AWS/S3 and was relatively easy to get started on. After vetting Qubole and comparing its performance against alternatives (including managed clusters), we decided to go with Qubole

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