Cassandra-vs-MongoDB
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Cassandra and MongoDB are both NoSQL databases. Cassandra is a high performance distributed database written in Java that stores data in a tabular format like SQL, while MongoDB is a document-oriented database written in C++ that stores data in JSON format. The document compares the two databases on various characteristics like data structure, scalability, availability, licensing and usage by companies. It also provides overviews of Cassandra's column-oriented data model and MongoDB's support for replication, high availability and auto-sharding.
Cassandra-vs-MongoDB
- 1. Workshop @ Ramnshee Infotech By Jainul Musani SESSION:04 4
- 2. Cassandra V/s MongoDB Cassandra and MongoDB both are types of NoSQL databases. Cassandra Distributed Database System Handles Large amount of data Highly scalable High Performance SESSION:04
- 3. Cassandra V/s MongoDB Cassandra and MongoDB both are types of NoSQL databases. MongoDB Document oriented Database Handles Large amount of data Highly scalable and Automatic scaling SESSION:04
- 4. Cassandra V/s MongoDB Database divided in two types Development Simplicity Operational Simplicity SESSION:04
- 5. Cassandra V/s MongoDB 1) Cassandra is high performance distributed database system. MongoDB is cross-platform document-oriented database system. 2) Cassandra is written in Java. MongoDB is written in C++. 3) Cassandra stores data in tabular form like SQL format. MongoDB stores data in JSON format. SESSION:04
- 6. Cassandra V/s MongoDB 4) Cassandra is got license by Apache. MongoDB is got license by AGPL and drivers by Apache. 5) Cassandra is mainly designed to handle large amounts of data across many commodity servers. MongoDB is designed to deal with JSON-like documents and access applications easier and faster. 6) Cassandra provides high availability with no single point of failure. MongoDB is easy to administer in the case of failure. SESSION:04
- 7. Cassandra highly scalable, high performance, consistent and fault-tolerant Cassandra is a column-oriented database. Cassandra provides easy data distribution. Cassandra supports ACID properties i.e. Atomicity, Consistency, Isolation, and Durability. Cassandra follows the distribution design of Amazon’s dynamo and its data model design is based on Google's Bigtable. Cassandra was initially created at Facebook for inbox search and now it is being used by some of the biggest companies like Facebook, Twitter, ebay, Netflix, Cisco, Rackspace etc. SESSION:04
- 8. MongoDB MongoDB is well suited for Bigdata and mobile & social infrastructure. MongoDB provides Replication, High availability and Auto-sharding. MongoDB is used by companies like Foursquare, Intuit, Shutterfly, SourceForge, The New York Times, Lexis Nexis Orange Digital etc. SESSION:04
- 9. SQL – MongoDB Mapping SQL Terms MongoDB Terms database Database table Collection row document or BSON document column field index index SESSION:04
- 10. SQL – MongoDB Mapping SQL Terms MongoDB Terms table joins $lookup, embedded document primary key primary key In SQL, we can specify any unique column or column combination as the primary key. In MongoDB, we don't need to set the primary key. The _id field is automatically set to the primary key. aggregation aggregation pipeline SELECT INTO NEW_TABLE $out MERGE INTO TABLE $merge transactions transactions SESSION:04