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Starrocks Mongodb Redis

Comparison of StarRocks DB, MongoDB, and Redis

Comparison of StarRocks DB, MongoDB, and Redis

FeatureStarRocks DBMongoDBRedis
Data ModelColumnarDocumentKey-value
DeploymentDistributedDistributedDistributed
Use CasesReal-time analytics, Data warehousingApplication data, User dataCaching, Session management, Message queues
ScalabilityHorizontalHorizontalHorizontal
DurabilityHighHighVariable
ConsistencyEventualEventualStrong
PerformanceVery highHighVery high
Query LanguageSQLNative query languageNative query language
SchemaRigidFlexibleNo schema

Here is a summary of the pros and cons of each database:

StarRocks DB

Pros:

  • Very high performance for real-time analytics and data warehousing
  • Columnar storage for efficient data compression and retrieval
  • Horizontal scalability for large datasets
  • Eventual consistency for low-latency writes

Cons:

  • Rigid schema that can be difficult to change
  • Not as flexible as MongoDB for application data
  • Not as well-suited for caching as Redis

MongoDB

Pros:

  • Flexible schema that can easily accommodate changing data requirements
  • Well-suited for storing and querying application data
  • Horizontal scalability for large datasets

Cons:

  • Not as performant as StarRocks DB for real-time analytics
  • Eventual consistency can lead to data inconsistencies
  • More complex to administer than Redis

Redis

Pros:

  • Very high performance for caching and session management
  • Simple key-value data model that is easy to use
  • Horizontal scalability for large datasets

Cons:

  • Not suitable for storing large amounts of structured data
  • No schema enforcement can lead to data quality issues
  • Strong consistency can impact performance

Overall, the best database for you will depend on your specific needs. If you need a high-performance database for real-time analytics or data warehousing, then StarRocks DB is a good choice. If you need a flexible database for application data, then MongoDB is a good choice. And if you need a high-performance cache or message broker, then Redis is a good choice.

I hope this helps! Let me know if you have any other questions.

Benchmark Results

Query: SELECT AdvEngineID, COUNT() FROM hits WHERE AdvEngineID <> 0 GROUP BY AdvEngineID ORDER BY COUNT() DESC;

Bench 4

Query: SELECT SearchPhrase FROM hits WHERE SearchPhrase <> ” ORDER BY EventTime, SearchPhrase LIMIT 10;

Bench 5

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