🤔 Data in Motion: OLAP vs OLTP Poll · Data Innovators Exchange

Mar 19 (edited) • In the News

🤔 Data in Motion: OLAP vs OLTP Poll

Understanding the key differences between Transactional vs Analytical Real-Time Databases.

In this week's www.datapro.news we evaluate the top 5 real-time DB applications in each category. Here is the key criteria we used to evaluate them...

Primary Use Case: Transactional (OLTP) databases excel at handling CRUD (Create, Read, Update, Delete) operations and serve as the backbone for application backends. They're designed to process many small, discrete transactions quickly. Analytical (OLAP) databases, on the other hand, are built for aggregation, reporting, and business intelligence tasks. They're optimized for complex queries that scan large portions of the dataset.
Data Structure: Transactional databases typically use a row-based storage model with normalised data structures. This approach optimises for quick updates to individual records.Analytical databases often employ columnar storage with denormalised data models. This structure allows for faster scans and aggregations across large datasets.
Scalability: Transactional systems often scale vertically (by adding more resources to a single machine) and use sharding for horizontal scaling. This approach maintains low latency for individual transactions.Analytical databases are designed for horizontal scaling across distributed systems. This allows them to handle massive datasets and parallel query processing.
Latency: Transactional databases aim for microsecond to millisecond response times, crucial for real-time application responsiveness.Analytical databases typically operate in the millisecond to second range, focusing on processing complex queries over large datasets quickly.
Typical Workloads: A typical transactional workload might involve processing 10,000 concurrent order placements in an e-commerce system. An analytical workload could involve analysing 1 billion rows of sales data to identify trends and generate reports.

Which has been your primary experience with?

OLAP

OLTP

Both

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