Umair Shahid

In today’s increasingly distributed environments, ensuring low replication lag is critical for maintaining performance and availability in database systems.

Our latest whitepaper, “Benchmark Study on Replication Lag in PostgreSQL using Single Region and Multi-Region Architectures”, explores the behavior of PostgreSQL clusters and factors impacting replication lag under different configurations and workloads.

This study provides a detailed comparison between a single-region… Show more

In today’s increasingly distributed environments, ensuring low replication lag is critical for maintaining performance and availability in database systems.

Our latest whitepaper, “Benchmark Study on Replication Lag in PostgreSQL using Single Region and Multi-Region Architectures”, explores the behavior of PostgreSQL clusters and factors impacting replication lag under different configurations and workloads.

This study provides a detailed comparison between a single-region, single-active node setup and a multi-region active-active architecture, measuring the impact of replication lag in real-world scenarios. Utilizing pgbench and HammerDB as benchmarks, we conducted load tests to assess how well PostgreSQL Distributed (PGD) handles replication in both setups. The findings reveal key insights into performance under various conditions, offering valuable recommendations for anyone managing PostgreSQL in distributed environments.

Key Highlights:
• Replication Lag Analysis: Comparison of single-region vs. multi-region architectures.
• Performance Benchmarks: Results under varying load conditions using pgbench and HammerDB.
• Real-World Implications: Insights into the challenges and benefits of distributed PostgreSQL clusters.
• Recommendations: Best practices for minimizing replication lag based on your environment’s architecture.

Whether you manage a local high-performance database or a globally distributed system, this whitepaper provides actionable insights to optimize your PostgreSQL clusters for better performance and reliability. Show less

Transparent Data Encryption (TDE) is an essential requirement for businesses handling sensitive data, whether personal or financial.

However, there are implications for backups and auto-failover. Without central storage of the encryption key with tight access controls, backups are useless and the server will not be able to start automatically after a failover.

The interaction between these components is not always intuitive. This paper is dedicated to clarifying these… Show more

Transparent Data Encryption (TDE) is an essential requirement for businesses handling sensitive data, whether personal or financial.

However, there are implications for backups and auto-failover. Without central storage of the encryption key with tight access controls, backups are useless and the server will not be able to start automatically after a failover.

The interaction between these components is not always intuitive. This paper is dedicated to clarifying these interactions.

Key highlights include:

- Overview of High Availability (HA) and TDE
- Operational challenges associated with running HA and TDE simultaneously
- Recommendations to be considered for both infrastructures
- Processes to be documented, tested, and rehearsed. Show less

Choosing between PostgreSQL and MongoDB is highly dependent on the unique requirements of your business. However, there are factors such as data complexity, query patterns, and the importance of features like indexing and data integrity that should be considered while making the decision.

To understand the extent of their capabilities, we conducted an extensive study to examine the data insertion performance in both PostgreSQL and MongoDB especially to examine the utilization of their… Show more

Choosing between PostgreSQL and MongoDB is highly dependent on the unique requirements of your business. However, there are factors such as data complexity, query patterns, and the importance of features like indexing and data integrity that should be considered while making the decision.

To understand the extent of their capabilities, we conducted an extensive study to examine the data insertion performance in both PostgreSQL and MongoDB especially to examine the utilization of their respective JSONB and BSON data types.

We identified strengths and challenges inherent to each database and offered practical insights for optimal utilization based on:

- Versatility and Reliability
- Scalability and Growth
- Considerations for Use Cases
- Application-Specific Decision Making

This study uncovered nuanced insights into the performance dynamics of both databases across various benchmarks. You can learn more in detail by downloading the whitepaper. Show less