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Materialize ensures you can run complex queries with low latency, without affecting write traffic on your primary database. Meanwhile, PostgreSQL is frequently used to offload queries but suffers from delayed updates and stability issues. So why not use Materialize instead? Materialize overcomes the limitations of PostgreSQL when it comes to complex queries and fresh data. Read about how in our new blog 🔗  https://bit.ly/4eKGEcc #DataEngineering #RealTimeData #PostgreSQL #Materialize

Deep Dive into PostgreSQL: Powering Modern Applications PostgreSQL isn’t just another database – it’s a powerhouse for modern applications. Let’s dive into some of its key features that make it a go-to choice for developers and businesses: 1. ACID Compliance & Data Integrity PostgreSQL ensures strong data consistency with ACID (Atomicity, Consistency, Isolation, Durability) compliance, guaranteeing reliable transactions even in high-demand environments. 2. Advanced Indexing From B-tree to GIN (Generalized Inverted Index) and GiST (Generalized Search Tree), PostgreSQL offers advanced indexing techniques that dramatically improve query performance for complex data types like JSON, text search, and geospatial data. 3. JSONB Support PostgreSQL natively supports JSON with its jsonb data type, making it perfect for semi-structured data while enabling powerful querying and indexing, merging the best of relational and NoSQL worlds. 4. Full-Text Search Need efficient search capabilities? PostgreSQL offers built-in full-text search, allowing you to perform advanced search queries on text-heavy datasets with incredible performance. 5. Extensibility One of PostgreSQL’s most powerful features is its extensibility. You can add custom data types, operators, and functions. Plus, with extensions like PostGIS for geospatial data, you can take your database beyond standard use cases. 6. Concurrency with MVCC PostgreSQL uses Multi-Version Concurrency Control (MVCC) to handle simultaneous transactions smoothly, ensuring data consistency without locking the database. 7. Partitioning & Scalability PostgreSQL’s declarative partitioning allows you to break large tables into smaller, manageable pieces, boosting performance and making data easier to maintain as your application scales. 8. Foreign Data Wrappers (FDW) Integrating multiple data sources? PostgreSQL allows you to query external databases or APIs using Foreign Data Wrappers (FDW), enabling seamless data access across different systems. 9. Backup, Recovery, and Replication PostgreSQL offers robust backup options (pg_dump, continuous archiving) and replication methods (streaming replication, logical replication) to ensure high availability and disaster recovery. With its powerful features and flexibility, PostgreSQL remains one of the top choices for developers looking to build reliable, scalable, and high-performance applications. Dive deeper, and you’ll discover the true potential of this open-source gem! #PostgreSQL #DatabaseManagement #OpenSource #Scalability #FullTextSearch #DataIntegrity #MVCC

Just saw this new Postgres extension called pg_duckdb - pretty cool stuff! Looks like it lets you bring the speed and analytics power of DuckDB right into your existing Postgres setups. Unfortunately they don't support indexes which makes the comparison unfair. As soon as they add that it could be a game-changer. https://lnkd.in/eYd4S9xp #PostgreSQL #DuckDB #DataAnalytics #PostgresExtension #DataProcessing

- Faster backups - Improved performance - Extended capabilities for the workloads of the future The latest advancements found in PostgreSQL 17 will unlock more possibilities for the world's most popular database. In the latest article from TechStrong, EDB Senior Vice President Tom Kincaid explains how Postgres additions like incremental backup and advanced SQL:JSON functionality will increase enterprise adoption of Postgres. Read the article to explore what's new in PostgreSQL 17 and what it means for the future of open source >> https://lnkd.in/eEhcPkT8 #Postgres #PostgreSQL #justsolveitwithPostgres #EDBPostgresAI #data #AI #database #DBA #opensource #PG17 #Postgres17 #PostgreSQL17

- Faster backups - Improved performance - Extended capabilities for the workloads of the future The latest advancements found in PostgreSQL 17 will unlock more possibilities for the world's most popular database. In the latest article from TechStrong, EDB Senior Vice President Tom Kincaid explains how Postgres additions like incremental backup and advanced SQL:JSON functionality will increase enterprise adoption of Postgres. Read the article to explore what's new in PostgreSQL 17 and what it means for the future of open source >> https://lnkd.in/eiX7Ah43 #Postgres #PostgreSQL #justsolveitwithPostgres #EDBPostgresAI #data #AI #database #DBA #opensource #PG17 #Postgres17 #PostgreSQL17

- Faster backups - Improved performance - Extended capabilities for the workloads of the future The latest advancements found in PostgreSQL 17 will unlock more possibilities for the world's most popular database. In the latest article from TechStrong, EDB Senior Vice President Tom Kincaid explains how Postgres additions like incremental backup and advanced SQL:JSON functionality will increase enterprise adoption of Postgres. Read the article to explore what's new in PostgreSQL 17 and what it means for the future of open source >> https://lnkd.in/eGZJpwpk #Postgres #PostgreSQL #justsolveitwithPostgres #EDBPostgresAI #data #AI #database #DBA #opensource #PG17 #Postgres17 #PostgreSQL17

Coralogix cut processing times from 30 seconds to 86 milliseconds with a #PostgreSQL to #ScyllaDB migration. Here's how they replaced the original metastore implementation and a breakdown of the lessons they learned. https://ow.ly/GF5850QzCbZ #NoSQL #NoSQLdatabase #database

- Faster backups - Improved performance - Extended capabilities for the workloads of the future The latest advancements found in PostgreSQL 17 will unlock more possibilities for the world's most popular database. In the latest article from TechStrong, EDB Senior Vice President Tom Kincaid explains how Postgres additions like incremental backup and advanced SQL:JSON functionality will increase enterprise adoption of Postgres. Read the article to explore what's new in PostgreSQL 17 and what it means for the future of open source >> https://lnkd.in/d2adf6qb #Postgres #PostgreSQL #justsolveitwithPostgres #EDBPostgresAI #data #AI #database #DBA #opensource #PG17 #Postgres17 #PostgreSQL17

Timescale revolutionized real-time data aggregation in PostgreSQL by enhancing query performance through Continuous Aggregates, resulting in a 500 times improvement. By optimizing cache, updating processes, and reducing overhead, we achieved these performance gains. Timescale refactored Internal mechanisms to efficiently handle large datasets, making real-time analytics faster and more scalable. https://lnkd.in/gSV9Wa4P #data #innovation #postgreSQL #realtime #dataanalytics

✅ Faster backups ✅ Improved performance ✅ Extended capabilities for the workloads of the future The latest advancements in PostgreSQL 17 will unlock more possibilities for the world's most popular database. In the latest article from TechStrong, EDB Senior Vice President Tom Kincaid explains how Postgres additions like incremental backup and advanced SQL:JSON functionality will increase enterprise adoption of Postgres. Read the article to explore what's new in PostgreSQL 17 and what it means for the future of open source ➡️ https://bit.ly/3Y8cUjK... #Postgres #PostgreSQL #justsolveitwithPostgres #EDBPostgresAI #data #AI #database #DBA #opensource #PG17 #Postgres17 #PostgreSQL17