DynamoDB’s ‘ partition’ ≠Cassandra’s ‘ partition.’ In DynamoDB, it’s a physical part of storage allocated for a particular chunk of a table(each partition can ‘weigh’ up to 10 GB).While Cassandra allows including more than one column(attribute) into partition keys and clustering columns. In DynamoDB, partition keys and sort keys can contain only one attribute.Although DynamoDB can store numerous data types, Cassandra’s list of supported data types is more extensive: it includes, for instance, tuples, varints, timeuuids, etc.Amazon DynamoDB is a key-value and document-oriented store, while Apache Cassandra is a column-oriented data store.Data models in comparison:įirst of all, Cassandra and DynamoDB do have some things in common: they both allow creating ‘schemaless’ tables and both have two similar parts of a primary key(partition key and sort key/clustering columns). The former is used for the same purposes as in a simple primary key, while the latter sorts data within one partition.ĭynamoDB vs. If the primary key is compound, it includes both a partition key and clustering columns. If the primary key is simple, it contains only a partition key that determines what node and what partition are going to store the data. Here’s a simple Cassandra column family (also called a table).It consists of rows that contain varying numbers of columns.Įvery column family has a primary key. In this case, a partition key performs the same function and the sort key, as seen in its very name, sorts the data with the same partition key. And if the primary key is composite, it consists of both a partition key and a sort key. If the primary key is simple, it contains only a partition key that defines what partition will physically store the data. In DynamoDB, it’s possible to define a schema for each item, rather than for the whole table.Įach table has a primary key, which can be either simple or composite. Its rows are items, and cells are attributes.
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