Blogs on OLake
Apache Hive vs Apache Iceberg: Choosing the Right Data Lakehouse Technology
Apache Hive and Apache Iceberg represent two different generations of the data lake ecosystem. Hive was born in the Hadoop era as a SQL abstraction over HDFS, excelling in batch ETL workloads and still valuable for organizations with large Hadoop/ORC footprints. Iceberg, by contrast, emerged in the cloud-native era as an open table format designed for multi-engine interoperability, schema evolution, and features like time travel. If you are running a legacy Hadoop stack with minimal need for engine diversity, Hive remains a practical choice. If you want a flexible, future-proof data lakehouse that supports diverse engines, reliable transactions, and governance at scale, Iceberg is the more strategic investment.
How to Set Up MongoDB Apache Iceberg: Complete Guide to Building a Modern Data Lakehouse
MongoDB has become the go-to database for modern applications, handling everything from user profiles to IoT sensor data with its flexible document model. But when it comes to analytics at scale, MongoDB's document-oriented architecture faces significant challenges with complex queries, aggregations, and large-scale data processing.
MySQL to Apache Iceberg: Transform Your Slow Analytics Into Lightning-Fast Lakehouse Performance
MySQL powers countless production applications as a reliable operational database. But when it comes to analytics at scale, running heavy queries directly on MySQL can quickly become expensive, slow, and disruptive to transactional workloads.
How to Set Up PostgreSQL to Apache Iceberg Replication for Real-Time Analytics: Complete Guide
Ever wanted to run high-performance analytics on your PostgreSQL data without overloading your production database or breaking your budget? PostgreSQL to Apache Iceberg replication is quickly becoming the go-to solution for modern data teams looking to build scalable, cost-effective analytics pipelines.
From Postgres to Iceberg: Creating OLake Jobs with Docker CLI and UI
A friendly, step-by-step walkthrough to configure replication from Postgres to Apache Iceberg (Glue catalog) using the OLake UI or the Docker CLI.
Comparison of Delete Strategies in Apache Iceberg and Delta Lake: Equality, Position, and Performance
In recent years, terms such as deletion vectors, position deletes, and other related concepts have become increasingly common in discussions around modern data lakehouse technologies. However, the nuances of these deletion mechanisms are not always well understood, despite their growing importance.