CompTIA DataSys+ (DS0-001)Database DeploymentMedium
A data engineering team is deploying a new data warehouse that requires extremely rapid data ingestion from various streaming sources. The database must be able to handle millions of inserts per second with minimal latency, and historical data will be queried for analytical purposes. Which type of database is BEST suited for this workload?
- AGraph Database
- BDocument Database
- CTime-Series Database
- DTraditional Relational Database (OLTP)
Show answer & explanationAnswer & explanation
Correct answer: C. Time-Series Database
Time-series databases are specifically optimized for storing and querying time-stamped data, making them ideal for high-volume, rapid ingestion of streaming data. They offer superior performance for time-based queries and aggregations compared to general-purpose databases for such workloads.
Why the other options are wrong
- A. Graph databases are designed for data with complex relationships, not primarily for rapid ingestion of time-series data.
- B. Document databases are flexible and schema-less, suitable for diverse data structures, but not inherently optimized for the unique characteristics of time-series data ingestion and querying at this scale.
- D. Traditional relational databases (OLTP) are optimized for transactional integrity and complex joins, not typically for extremely high-volume, append-only time-series data ingestion.
Time-Series Database
A database optimized for storing and retrieving time-stamped data, often from sensors, IoT devices, or monitoring systems, designed for high ingest rates and time-based queries.
- Excellent for high-volume, append-only data.
- Optimized for time-based aggregations and range queries.
- Commonly used for monitoring, IoT, and financial data.
Memory trick: Streaming data with time stamps, time-series is the champ.