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Qubole
Qubole

13
22
+ 1
50
Snowflake
Snowflake

109
75
+ 1
0
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Qubole vs Snowflake: What are the differences?

Developers describe Qubole 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. On the other hand, Snowflake is detailed as "The data warehouse built for the cloud". 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.

Qubole and Snowflake belong to "Big Data as a Service" category of the tech stack.

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What is Qubole?

Qubole is a cloud based service that makes big data easy for analysts and data engineers.

What is 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.
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        What are some alternatives to Qubole and Snowflake?
        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.
        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.
        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
        Decisions about Qubole and Snowflake
        Snowflake
        Snowflake
        Google BigQuery
        Google BigQuery

        I use Google BigQuery because it makes is super easy to query and store data for analytics workloads. If you're using GCP, you're likely using BigQuery. However, running data viz tools directly connected to BigQuery will run pretty slow. They recently announced BI Engine which will hopefully compete well against big players like Snowflake when it comes to concurrency.

        What's nice too is that it has SQL-based ML tools, and it has great GIS support!

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        Reviews of Qubole and Snowflake
        How developers use Qubole and Snowflake
        Avatar of Pinterest
        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

        Avatar of Flux Work
        Flux Work uses SnowflakeSnowflake

        Data warehouse solution that fully separates compute and storage. Better management facility than directly using S3.

        How much does Qubole cost?
        How much does Snowflake cost?
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