Introduction to OceanBase OceanBase is a distributed relational database optimized for online transaction processing (OLTP) workloads. Designed initially by Ant Financial, it provides high scalability, […]
Author: Todosdb
Pramod Gupta is a database professional and founder of todosdb ,who has been working with SQL and NO-SQL Databases since year 2011. In the past 13+ years, he served in a number of companies Like Datavail,Lazada Group,Alibaba Group,Paytm,Byju's and Ola as a DBA,Lead DBA,Principle DBA,Database Architect and Database Manager profile.Pramod has vast experience with MySQL/MariaDB/Percona,MongoDB,PostgreSql,Cassandra,ScyllaDB,CouchbaseDB and Aerospike databases. His professional interests in Database Performance tuning,HA,Scalabilty and DB architecture design and Planning.
Mastering the Shift from Oracle Version 18c to PostgreSQL: A Detailed Migration Strategy
Migrating from Oracle 18c to PostgreSQL is a strategic decision many organizations are making in the face of rising licensing costs, flexibility, and performance optimization […]
Decoding Vector Databases: Harnessing the Power of PostgreSQL for High-Dimensional Data
Introduction to Vector Databases As the field of data science evolves, traditional databases are increasingly inadequate for managing high-dimensional data generated by applications such as […]
Exploring PostgreSQL’s JSONB Data Type for NoSQL Workloads
PostgreSQL has undergone significant transformations over the years, evolving into a powerful relational database that incorporates features traditionally associated with NoSQL systems. Among its most […]
Understanding PostgreSQL’s Advanced Indexing: GIN and GiST
PostgreSQL is renowned for its advanced indexing capabilities that go beyond traditional B-tree indexes, especially when dealing with complex queries and large datasets. Among its […]
Achieving Optimal PostgreSQL High Availability: Comprehensive Setup with PgBouncer and Repmgr
INTRODUCTION: In the realm of enterprise database systems, ensuring continuous availability and minimizing downtime are critical. PostgreSQL, a widely used open-source relational database management system, […]
Advanced High Availability for MySQL with ProxySQL and Orchestrator
High Availability (HA) is critical for ensuring the continuous operation and performance of modern applications. MySQL, a widely used relational database management system, provides replication features to achieve data redundancy and scalability. However, achieving optimal HA requires more than just replication; it necessitates sophisticated tools for load balancing and failover management. In this detailed article, we’ll explore how to set up a robust HA environment using ProxySQL for load balancing and Orchestrator for failover and topology management. This guide covers advanced configuration details, performance tuning, and integration strategies for a seamless HA solution.
Revolutionize Your Postgres Schema Changes with pg_osc
Schema changes in a high-volume PostgreSQL database can be critical and challenging. One misstep could lead to an outage, making it essential to handle these […]
Unlocking the Full Potential of PostgreSQL with pg_repack
PostgreSQL is a powerful, open-source relational database system known for its robustness and advanced features. However, as with any database system, over time, PostgreSQL can suffer from table bloat—an issue that can lead to degraded performance and increased storage costs. Table bloat occurs due to the accumulation of dead tuples that are left behind after DELETE, UPDATE, and VACUUM operations. To combat this, PostgreSQL offers the VACUUM command, but in many scenarios, it’s not sufficient to reclaim all the wasted space. This is where pg_repack comes in.
A Comprehensive Evaluation of MySQL Deployment Options on AWS: RDS vs. Aurora
This article delves into the intricacies of deploying MySQL databases on Amazon Web Services (AWS), specifically evaluating the two primary managed service offerings: Amazon Relational Database Service (RDS) for MySQL and Amazon Aurora MySQL. By dissecting their architectural underpinnings, performance characteristics, and suitability for various use cases, this analysis empowers database administrators and application developers to make informed decisions when selecting the optimal solution for their MySQL deployments on AWS.