Cassandra vs Mongoose: 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 Mongoose? MongoDB object modeling designed to work in an asynchronous environment. Let's face it, writing MongoDB validation, casting and business logic boilerplate is a drag. That's why we wrote Mongoose. Mongoose provides a straight-forward, schema-based solution to modeling your application data and includes built-in type casting, validation, query building, business logic hooks and more, out of the box.
Cassandra belongs to "Databases" category of the tech stack, while Mongoose can be primarily classified under "Object Document Mapper (ODM)".
"Distributed" is the primary reason why developers consider Cassandra over the competitors, whereas "Well documented" was stated as the key factor in picking Mongoose.
Cassandra and Mongoose are both open source tools. Mongoose with 19K GitHub stars and 2.63K forks on GitHub appears to be more popular than Cassandra with 5.27K GitHub stars and 2.35K GitHub forks.
Uber Technologies, Facebook, and Spotify are some of the popular companies that use Cassandra, whereas Mongoose is used by PedidosYa, WebbyLab, and triGo GmbH. Cassandra has a broader approval, being mentioned in 342 company stacks & 240 developers stacks; compared to Mongoose, which is listed in 88 company stacks and 92 developer stacks.
What is Cassandra?
What is Mongoose?
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I inherited a stack where Mongoose is used in the database layer.
It's been several months and it's still the single highest source of daily WT*s in my backend development. The API is full of irregularities and the design is a poor mix of object-orientation and stateful objects with a lot implicit behavior. Mongoose made the choices of taking the worst parts of ORMs and using them in a context where the benefits of ORMs don't apply. The only reason I'm keeping it is its handy
.populate() feature. Expect bad surprises!
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.
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.
While we experimented with Cassandra in the past, we are no longer using it. It is, however, open for consideration in future projects.
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