Mar 19 (edited) • In the News
🤔 Data in Motion: Deciding on a Real-Time DB for your business
Selecting the appropriate database system requires careful consideration of your specific use case and requirements. Here's the framework we used to evaluate the TOP 5 OLAP & OLTP DB's in this week's edition of datapro.news
  1. Assess Your Workload: Is your application read-heavy or write-heavy? Transactional databases like DynamoDB or MongoDB are optimised for high-volume write operations, making them suitable for scenarios like e-commerce checkouts or user activity logging. Analytical systems like ClickHouse or Snowflake excel at read-heavy workloads, such as generating real-time dashboards or running complex analytical queries.
  2. Consider ACID Requirements: If your application requires strict ACID (Atomicity, Consistency, Isolation, Durability) compliance, transactional systems like PostgreSQL or DynamoDB with their transaction support would be more appropriate. Many analytical systems prioritise performance and scalability over strict ACID guarantees.
  3. Evaluate Data Velocity: For applications dealing with high-speed data streams, such as IoT sensor networks or real-time bidding platforms, consider analytical databases like ClickHouse or Apache Druid. These systems are designed to ingest and query high-velocity data streams efficiently.
  4. Balance Budget and Control: Managed services like Snowflake or Tinybird can significantly reduce operational overhead, allowing teams to focus on data analysis rather than infrastructure management. However, this convenience often comes at a higher cost. Open-source solutions like Apache Pinot or Apache Druid offer more control and potential cost savings but require more expertise to deploy and maintain.
  5. SQL vs. NoSQL: Many analytical systems now offer robust SQL support, with platforms like Snowflake and ClickHouse providing familiar interfaces for data analysts. In the transactional space, NoSQL databases like DynamoDB offer flexibility for handling unstructured or semi-structured data. Consider your team's expertise and the nature of your data when making this choice.
Interested in the Top 5 in each category? Stay tuned as we countdown the list over the coming days...
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Samuel Williams
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🤔 Data in Motion: Deciding on a Real-Time DB for your business
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