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Google Cloud Bigtable

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A high performance NoSQL database service for large analytical and operational workloads.

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  • Vaultree and AlloyDB: the world’s first Fully Homomorphic and Searchable Cloud Encryption Solution

    In my opinion, Google has built some fantastic database services like Bigtable and Spanner, which literally changed the industry for good, and I am eager to see how they will build upon this new service. With AlloyDB’s disaggregated architecture, the dystopian world where I only pay for SQL databases per query and the stored data on GCP seems closer than ever.

    – Source: dev.to
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    almost 2 years ago


  • Google Cloud Reference

    Cloud Bigtable: Petabyte-scale, low-latency, non-relational Link Link.

    – Source: dev.to
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    about 2 years ago


  • A Graph-Based Firebase

    > These triples say that the Layer with id 1 has a fontSize 20 and backgroundColor blue. Since they are different rows, there’s no conflict. This sounds a lot like Bigtable (https://cloud.google.com/bigtable), which also does last-write-wins conflict resolution layer. So this is adding a GraphQL + frontend layer to it?

    – Source: Hacker News
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    about 2 years ago


  • The 4 Types of NoSQL Databases You Need to Know

    Google’s BigTable paper inspired this database design, and it is capable of handling large data loads on distributed machines. In addition, column-oriented databases provide efficient compression and high performance with aggregated queries such as sum, average, and minimum.

    – Source: dev.to
    /
    about 2 years ago


  • Can someone help me understand why data batch processing and data streaming processing pose such different challenges in data management?

    Because of these and other differences, the tools used are also different. With batch processing, data might be read from large files, processed, and stored in an OLTP (Online Transaction Processing) database (like MySQL) or OLAP (Online Analytical Processing) system (like Google BigQuery). But these would not be good solutions for streaming applications, because they are not optimized for high throughput on a lot…

    Source:
    over 2 years ago


  • Considering the advantages of Cloud Native Architecture

    Let’s take a database, a common requirement for almost any architecture.

    There are an array of options depending on your chosen Cloud Provider, to name just a handful. AWS (Amazon Web Services) has Dynamodb, Aurora, RDS (Relational Database Service). Azure has Cosmos DB (which if you haven’t heard of definitely check it out, it’s a favorite of mine), SQL. Google Cloud has Spanner and Big Table and the list goes…

    – Source: dev.to
    /
    over 3 years ago

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