Azure Storage vs Google BigQuery

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Azure Storage
Azure Storage

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Google BigQuery
Google BigQuery

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Azure Storage vs Google BigQuery: What are the differences?

What is Azure Storage? Reliable, economical cloud storage for data big and small. Azure Storage provides the flexibility to store and retrieve large amounts of unstructured data, such as documents and media files with Azure Blobs; structured nosql based data with Azure Tables; reliable messages with Azure Queues, and use SMB based Azure Files for migrating on-premises applications to the cloud.

What is Google BigQuery? Analyze terabytes of data in seconds. 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..

Azure Storage can be classified as a tool in the "Cloud Storage" category, while Google BigQuery is grouped under "Big Data as a Service".

Some of the features offered by Azure Storage are:

  • Blobs, Tables, Queues, and Files
  • Highly scalable
  • Durable & highly available

On the other hand, Google BigQuery provides the following key features:

  • All behind the scenes- Your queries can execute asynchronously in the background, and can be polled for status.
  • Import data with ease- Bulk load your data using Google Cloud Storage or stream it in bursts of up to 1,000 rows per second.
  • Affordable big data- The first Terabyte of data processed each month is free.

"All-in-one storage solution" is the primary reason why developers consider Azure Storage over the competitors, whereas "High Performance" was stated as the key factor in picking Google BigQuery.

According to the StackShare community, Google BigQuery has a broader approval, being mentioned in 160 company stacks & 41 developers stacks; compared to Azure Storage, which is listed in 84 company stacks and 44 developer stacks.

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What is Azure Storage?

Azure Storage provides the flexibility to store and retrieve large amounts of unstructured data, such as documents and media files with Azure Blobs; structured nosql based data with Azure Tables; reliable messages with Azure Queues, and use SMB based Azure Files for migrating on-premises applications to the cloud.

What is 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.
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    What are some alternatives to Azure Storage and Google BigQuery?
    Azure Redis Cache
    It perfectly complements Azure database services such as Cosmos DB. It provides a cost-effective solution to scale read and write throughput of your data tier. Store and share database query results, session states, static contents, and more using a common cache-aside pattern.
    Amazon S3
    Amazon Simple Storage Service provides a fully redundant data storage infrastructure for storing and retrieving any amount of data, at any time, from anywhere on the web
    Azure Cosmos DB
    Azure DocumentDB is a fully managed NoSQL database service built for fast and predictable performance, high availability, elastic scaling, global distribution, and ease of development.
    Google Cloud Storage
    Google Cloud Storage allows world-wide storing and retrieval of any amount of data and at any time. It provides a simple programming interface which enables developers to take advantage of Google's own reliable and fast networking infrastructure to perform data operations in a secure and cost effective manner. If expansion needs arise, developers can benefit from the scalability provided by Google's infrastructure.
    Amazon EBS
    Amazon EBS volumes are network-attached, and persist independently from the life of an instance. Amazon EBS provides highly available, highly reliable, predictable storage volumes that can be attached to a running Amazon EC2 instance and exposed as a device within the instance. Amazon EBS is particularly suited for applications that require a database, file system, or access to raw block level storage.
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    Decisions about Azure Storage and Google BigQuery
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    How developers use Azure Storage and Google BigQuery
    Avatar of ShareThis
    ShareThis uses Google BigQueryGoogle BigQuery

    BigQuery allows our team to pull reports quickly using a SQL-like queries against our large store of data about social sharing. We use the information throughout the company, to do everything from making internal product decisions based on usage patterns to sharing certain kinds of custom reports with our publishers.

    Avatar of Lyndon Wong
    Lyndon Wong uses Google BigQueryGoogle BigQuery

    Aggregation of user events and traits across a marketing website, SaaS web application, user account provisioning backend and Salesforce CRM. Enables full-funnel analysis of campaign ROI, customer acquisition, engagement and retention at both the user and target account level.

    Avatar of Seen on Set
    Seen on Set uses Azure StorageAzure Storage

    We use Azure Blob Storage for hosting all images on the Seen on Set website. These images are then geo-cached using Azure CDN.

    Avatar of Foundbite
    Foundbite uses Azure StorageAzure Storage

    We use Azure Storage to store all foundbite images and sound. Azure Storage is super easy to use and really cheap.

    Avatar of Blue Shell Games
    Blue Shell Games uses Google BigQueryGoogle BigQuery

    Google's insanely fast, feature-rich, zero-maintenance column store. Used for real-time customer data queries.

    Avatar of Dirk Eisenberg
    Dirk Eisenberg uses Azure StorageAzure Storage

    Azure Storage is used as a scalable NoSQL storage to prevent bottlenecks when the amount of data is growing.

    Avatar of nextdocdev
    nextdocdev uses Azure StorageAzure Storage

    Storage documents e historicals informations about the documents

    Avatar of Yonas B.
    Yonas B. uses Azure StorageAzure Storage

    I used Azure's blob storage to store large unstructured data.

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    How much does Google BigQuery cost?
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