Cassandra vs Google Cloud Datastore

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Cassandra
Cassandra

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Google Cloud Datastore
Google Cloud Datastore

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Cassandra vs Google Cloud Datastore: What are the differences?

What is Cassandra? A partitioned row store. Rows are organized into tables with a required primary key. Partitioning means that Cassandra can distribute your data across multiple machines in an application-transparent matter. Cassandra will automatically repartition as machines are added and removed from the cluster. Row store means that like relational databases, Cassandra organizes data by rows and columns. The Cassandra Query Language (CQL) is a close relative of SQL.

What is Google Cloud Datastore? A Fully Managed NoSQL Data Storage Service. Use a managed, NoSQL, schemaless database for storing non-relational data. Cloud Datastore automatically scales as you need it and supports transactions as well as robust, SQL-like queries.

Cassandra can be classified as a tool in the "Databases" category, while Google Cloud Datastore is grouped under "NoSQL Database as a Service".

"Distributed" is the top reason why over 96 developers like Cassandra, while over 4 developers mention "High scalability" as the leading cause for choosing Google Cloud Datastore.

Cassandra is an open source tool with 5.27K GitHub stars and 2.35K GitHub forks. Here's a link to Cassandra's open source repository on GitHub.

According to the StackShare community, Cassandra has a broader approval, being mentioned in 342 company stacks & 240 developers stacks; compared to Google Cloud Datastore, which is listed in 46 company stacks and 16 developer stacks.

- No public GitHub repository available -

What is Cassandra?

Partitioning means that Cassandra can distribute your data across multiple machines in an application-transparent matter. Cassandra will automatically repartition as machines are added and removed from the cluster. Row store means that like relational databases, Cassandra organizes data by rows and columns. The Cassandra Query Language (CQL) is a close relative of SQL.

What is Google Cloud Datastore?

Use a managed, NoSQL, schemaless database for storing non-relational data. Cloud Datastore automatically scales as you need it and supports transactions as well as robust, SQL-like queries.
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Why do developers choose Cassandra?
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        What are some alternatives to Cassandra and Google Cloud Datastore?
        HBase
        Apache HBase is an open-source, distributed, versioned, column-oriented store modeled after Google' Bigtable: A Distributed Storage System for Structured Data by Chang et al. Just as Bigtable leverages the distributed data storage provided by the Google File System, HBase provides Bigtable-like capabilities on top of Apache Hadoop.
        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.
        Redis
        Redis is an open source, BSD licensed, advanced key-value store. It is often referred to as a data structure server since keys can contain strings, hashes, lists, sets and sorted sets.
        Couchbase
        Developed as an alternative to traditionally inflexible SQL databases, the Couchbase NoSQL database is built on an open source foundation and architected to help developers solve real-world problems and meet high scalability demands.
        MySQL
        The MySQL software delivers a very fast, multi-threaded, multi-user, and robust SQL (Structured Query Language) database server. MySQL Server is intended for mission-critical, heavy-load production systems as well as for embedding into mass-deployed software.
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        How developers use Cassandra and Google Cloud Datastore
        Avatar of Soundcloud
        Soundcloud uses CassandraCassandra

        Stitch is a wrapper around a Cassandra database. It has a web application that provides read-access to the counts through an HTTP API. The counts are written to Cassandra in two distinct ways, and it's possible to use either or both of them:

        • Real-time: For real-time updates, Stitch has a processor application that handles a stream of events coming from a broker and increments the appropriate counts in Cassandra.

        • Batch: The batch part is a MapReduce job running on Hadoop that reads event logs, calculates the overall totals, and bulk loads this into Cassandra.

        Avatar of Vital Labs, Inc.
        Vital Labs, Inc. uses CassandraCassandra

        Cassandra is our data management workhorse. It handles all our key-value services, supports time-series data storage and retrieval, securely stores all our audit trails, and backs our Datomic database.

        Avatar of CommentBox.io
        CommentBox.io uses Google Cloud DatastoreGoogle Cloud Datastore

        This is our primary database, though most of our actual data is stored in static storage. This database houses the metadata necessary for indexing and finding static data.

        Avatar of papaver
        papaver uses Google Cloud DatastoreGoogle Cloud Datastore

        worked with a client that used datastore as their backend database. helped plan out their schema and architecture. loved the speed and simplicity.

        Avatar of SocialCops
        SocialCops uses CassandraCassandra

        While we experimented with Cassandra in the past, we are no longer using it. It is, however, open for consideration in future projects.

        Avatar of ShareThis
        ShareThis uses CassandraCassandra

        We are using Cassandra in a few of our apps. One of them is as a count service application to track the number of shares, clicks.. etc

        Avatar of Kaiko
        Kaiko uses CassandraCassandra
        Avatar of Giftstarter
        Giftstarter uses Google Cloud DatastoreGoogle Cloud Datastore

        We store our data in this store.

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