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Google BigQuery
Google BigQuery

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Panoply

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Google BigQuery vs Panoply: What are the differences?

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..

What is Panoply? Collect, combine, and integrate all your data with any analytics tools. It is the data warehouse built for analysts. Our data management platform automates all three key aspects of the data stack: data collection, management, and query optimization.

Google BigQuery and Panoply belong to "Big Data as a Service" category of the tech stack.

Some of the features offered by Google BigQuery are:

  • 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.

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

  • Data warehouse
  • Business Intelligence
  • Optimized Query Engine
- No public GitHub repository available -
- No public GitHub repository available -

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.

What is Panoply?

It is the data warehouse built for analysts. Our data management platform automates all three key aspects of the data stack: data collection, management, and query optimization.
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        What are some alternatives to Google BigQuery and Panoply?
        Google Cloud Bigtable
        Google Cloud Bigtable offers you a fast, fully managed, massively scalable NoSQL database service that's ideal for web, mobile, and Internet of Things applications requiring terabytes to petabytes of data. Unlike comparable market offerings, Cloud Bigtable doesn't require you to sacrifice speed, scale, or cost efficiency when your applications grow. Cloud Bigtable has been battle-tested at Google for more than 10 years鈥攊t's the database driving major applications such as Google Analytics and Gmail.
        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.
        Hadoop
        The Apache Hadoop software library is a framework that allows for the distributed processing of large data sets across clusters of computers using simple programming models. It is designed to scale up from single servers to thousands of machines, each offering local computation and storage.
        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)鈥攏o infrastructure to manage and no knobs to turn.
        Google Analytics
        Google Analytics lets you measure your advertising ROI as well as track your Flash, video, and social networking sites and applications.
        See all alternatives
        Decisions about Google BigQuery and Panoply
        Google BigQuery
        Google BigQuery
        Snowflake
        Snowflake

        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!

        See more
        Google BigQuery
        Google BigQuery
        Amazon Redshift
        Amazon Redshift
        Amazon Athena
        Amazon Athena
        Amazon S3
        Amazon S3

        Hi all,

        Currently, we need to ingest the data from Amazon S3 to DB either Amazon Athena or Amazon Redshift. But the problem with the data is, it is in .PSV (pipe separated values) format and the size is also above 200 GB. The query performance of the timeout in Athena/Redshift is not up to the mark, too slow while compared to Google BigQuery. How would I optimize the performance and query result time? Can anyone please help me out?

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        Reviews of Google BigQuery and Panoply
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        How developers use Google BigQuery and Panoply
        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 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.

        How much does Google BigQuery cost?
        How much does Panoply cost?
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