See how Atlas and Capella compare in the DBaaS performance report
Critical MongoDB disadvantages and how Couchbase overcomes them
Challenge 1: Query complexity
Try SQL on NoSQLMongoDB
Because MongoDB has no declarative query language, querying and processing data in applications requires complex procedural logic. This leads to poor query performance and scalability.
Couchbase
SQL++ gives developers and enterprises an expressive, powerful, and complete language for querying, transforming, and manipulating JSON data.
You can develop engaging applications using a comprehensive and declarative query language on JSON documents.
Challenge 2: Lack of database joins
JOIN clauseMongoDB
Lack of effective document JOIN in sharded collections can impose technical restrictions on the data model design. This results in unnecessary denormalization, data duplication, and complex application logic.
Couchbase
Full support for ANSI joins allows developers to leverage the best of SQL for enterprise applications.
You get comprehensive support for document JOINS and aggregation pushdown.
Challenge 3: Difficult migration from RDBMS
Migrating from relational databasesMongoDB
MongoDB's proprietary query API results in a high learning curve for SQL developers and forces expensive rewrites of existing applications.
Couchbase
SQL++ extends industry standard SQL to JSON.
You can query JSON document data models similarly to the way you query legacy RDBMS applications.
Couchbase extends ANSI SQL to support the
flexible schema of JSON
MongoDB Query | Couchbase SQL++ |
---|---|
db.stocks.aggregate([ { “$match”: { “$and”: [ {“symbol”: { “$in”: [ “AAPL”, “GOOG”]}}, { “value”: { “$gt”: 0 }}]}}, { “$group”: { “_id”: { “symbol”: “$symbol” }, “sum(value * volume)”: { “$sum”: { “$multiply”: [ “$value”, “$volume”]}}}}, { “$project”: { “_id”: 0, “sum(value * volume)”: “$sum(value * volume)”, “symbol”: “$_id.symbol”}} {“$sort”: { “sum(value * volume)”: -1, “symbol”: 1 }}]} |
SELECT SUM(value * volume) AS val, symbol FROM db.stocks WHERE symbol IN ( "AAPL", "GOOG" ) AND value > 0 GROUP BY symbol ORDER BY val DESC, symbol ASC |