Espresso vs MongoDB
Espresso: LinkedIn's internal, MySQL-backed distributed document store that serves as source of truth for its core data. MongoDB: The default document database: flexible BSON documents, rich queries and built-in sharding.
key differences
- Licensing: Espresso is proprietary (Proprietary (LinkedIn internal)); MongoDB is source-available (Server Side Public License v1 (Community); commercial (Enterprise)).
- Espresso is built for larger datasets (Multi-PB) than MongoDB (≤ 1 PB).
- Transactions: Espresso offers limited ACID; MongoDB offers full.
- Only Espresso has streaming ingest.
- Only MongoDB has joins, vector search, geospatial, materialized views, ttl / expiry.
choose espresso for
- +Studying how a large social network built its primary document store
- +Reference design for MySQL-backed sharded document services with CDC
- +Background for systems such as Helix, Databus and Kafka-based CDC
best at · OLTP, Content
choose mongodb for
- +Product catalogs with highly variable attributes
- +Content management and user-generated content
- +Mobile and web backends that evolve their schema weekly
- +IoT and event data with time-series collections
best at · OLTP, Content, Metadata
Espresso vs MongoDB: FAQ
What is the difference between Espresso and MongoDB?
Espresso: LinkedIn's internal, MySQL-backed distributed document store that serves as source of truth for its core data. MongoDB: The default document database: flexible BSON documents, rich queries and built-in sharding. Licensing: Espresso is proprietary (Proprietary (LinkedIn internal)); MongoDB is source-available (Server Side Public License v1 (Community); commercial (Enterprise)). Espresso is built for larger datasets (Multi-PB) than MongoDB (≤ 1 PB). Transactions: Espresso offers limited ACID; MongoDB offers full.
When should I choose Espresso over MongoDB?
Choose Espresso for studying how a large social network built its primary document store; reference design for MySQL-backed sharded document services with CDC; and background for systems such as Helix, Databus and Kafka-based CDC. Choose MongoDB for product catalogs with highly variable attributes; content management and user-generated content; and mobile and web backends that evolve their schema weekly.
Is Espresso or MongoDB more popular?
MongoDB ranks #4 on the WhichDB Score (80.5/100) and Espresso ranks #729 (0.0/100). Popularity is not fit: check the requirements that matter for your project.
Are Espresso and MongoDB open source?
No. Espresso is proprietary, closed-source software. Not in the OSI sense. MongoDB is source-available: you can read the code, but the license restricts some uses, typically offering it as a competing managed service. License: Server Side Public License v1 (Community); commercial (Enterprise).