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Google BigQuery
Google BigQuery

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259
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Hibernate
Hibernate

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+ 1
16
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Google BigQuery vs Hibernate: What are the differences?

Developers describe Google BigQuery as "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.. On the other hand, Hibernate is detailed as "Idiomatic persistence for Java and relational databases". Hibernate is a suite of open source projects around domain models. The flagship project is Hibernate ORM, the Object Relational Mapper.

Google BigQuery can be classified as a tool in the "Big Data as a Service" category, while Hibernate is grouped under "Object Relational Mapper (ORM)".

"High Performance" is the top reason why over 17 developers like Google BigQuery, while over 9 developers mention "Easy ORM" as the leading cause for choosing Hibernate.

According to the StackShare community, Google BigQuery has a broader approval, being mentioned in 156 company stacks & 39 developers stacks; compared to Hibernate, which is listed in 85 company stacks and 72 developer stacks.

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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 Hibernate?

Hibernate is a suite of open source projects around domain models. The flagship project is Hibernate ORM, the Object Relational Mapper.
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    What are some alternatives to Google BigQuery and Hibernate?
    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 yearsโ€”it'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)โ€”no 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 Hibernate
    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!

    See more
    Interest over time
    Reviews of Google BigQuery and Hibernate
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    How developers use Google BigQuery and Hibernate
    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 Kang Hyeon Ku
    Kang Hyeon Ku uses HibernateHibernate

    Mybatis ๋กœ ์ฟผ๋ฆฌ๋ฅผ ๋งŒ๋“ค๊ณ  ์กฐ๊ฑด๋ถ„ ๋ถ„๊ธฐ์‹ for ๋ฌธ์„ ์ฟผ๋ฆฌ์— ๋‹ฌ์•„ ๋”์ด์ƒ ์ฟผ๋ฆฌ๋ฅผ ์•Œ์•„ ๋ณผ ์ˆ˜ ์—†๊ฒŒ ๋˜์—ˆ์„๋•Œ ์ด๊ฒŒ ์˜๋งˆ๊ฐ€ ์žˆ๋‚˜ ์‹ถ์—ˆ๋‹ค. ๊ทธ ๋•Œ ํ•œ๋ฒˆ orm ์„ ์จ๋ณด๋ฉด ์–ด๋–จ๊นŒ ์‹ถ์–ด ์ตœ๊ทผ์— ๋ฐฐ์šฐ๊ธฐ ์‹œ์ž‘ํ•œ orm ์ด๋‹ค. ์ •๋ง ํŽธํ•˜๊ฒŒ ๊ฐœ๋ฐœ์„ ํ•  ์ˆ˜ ์žˆ๋Š”๋ฐ ์ผ์กฐํ•˜๊ณ  ์žˆ๋‹ค. ๋‹ค๋งŒ ๊ฒฐ๊ตญ์— ์ฟผ๋ฆฌ๋ฅผ ๋‚ ๋ ค ๋งตํ•‘์„ ํ•˜๋Š”๋ฐ, ์ฟผ๋ฆฌ๋ฅผ ์ž˜ ๋ชจ๋ฅด๊ฑฐ๋‚˜ ๊ทธ์— ๋Œ€ํ•œ ์ง€์‹ ์—†์ด ์“ฐ๋‹ค๊ฐ€๋Š” ๋งํ•˜๊ฒ ๊ตฌ๋‚˜ ํ•˜๋Š” ์ƒ๊ฐ์ด ๋งŽ์ด ๋“ค์—ˆ๋‹ค.

    Avatar of Analytical Informatics
    Analytical Informatics uses HibernateHibernate

    We use a Clojure-powered wrapper around Hibernate to provide an ORM access to our data store for applications, as well as offering SSO integration and HIPAA logging functionality.

    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 Tongliang Liu
    Tongliang Liu uses HibernateHibernate

    Can't escape from when you're on the Java stack and deal with relational db.

    Avatar of Satoru Ishikawa
    Satoru Ishikawa uses HibernateHibernate

    Strut ใ‚„ Spring ใชใฉ Java web app flame work ใงใฎ Object Relation Mapperใจใ—ใฆ

    Avatar of icarus-dave
    icarus-dave uses HibernateHibernate

    Persistence layer for backend data; maps entities to the database.

    How much does Google BigQuery cost?
    How much does Hibernate cost?
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