Apache Iceberg Description
Iceberg is an advanced format designed for managing extensive analytical tables efficiently. It combines the dependability and ease of SQL tables with the capabilities required for big data, enabling multiple engines such as Spark, Trino, Flink, Presto, Hive, and Impala to access and manipulate the same tables concurrently without issues. The format allows for versatile SQL operations to incorporate new data, modify existing records, and execute precise deletions. Additionally, Iceberg can optimize read performance by eagerly rewriting data files or utilize delete deltas to facilitate quicker updates. It also streamlines the complex and often error-prone process of generating partition values for table rows while automatically bypassing unnecessary partitions and files. Fast queries do not require extra filtering, and the structure of the table can be adjusted dynamically as data and query patterns evolve, ensuring efficiency and adaptability in data management. This adaptability makes Iceberg an essential tool in modern data workflows.
Apache Iceberg Alternatives
Secure Eraser: Secure Data Deletion, Shredders Your Files & Folders.
Just because it has been removed from your hard drive doesn't mean that it is gone forever. Anyone can restore the information as long as it was not overwritten. It becomes more difficult if the computer has been resold, or given away.
Secure Eraser employs the most well-known method of data disposal. It overwrites sensitive information so that it cannot be recovered even with specialized software. Our award-winning solutions for permanently destroying data eliminate cross-references that may leave traces of deleted files within the allocation table of your hard disk.
This Windows software is easy to use and can overwrite sensitive data up to 35 times, regardless of whether they're files, folders or drives, recycle bins, or traces of surfing. You can also delete files that you have already deleted but not for good.
Learn more
RaimaDB, an embedded time series database that can be used for Edge and IoT devices, can run in-memory. It is a lightweight, secure, and extremely powerful RDBMS. It has been field tested by more than 20 000 developers around the world and has been deployed in excess of 25 000 000 times.
RaimaDB is a high-performance, cross-platform embedded database optimized for mission-critical applications in industries such as IoT and edge computing. Its lightweight design makes it ideal for resource-constrained environments, supporting both in-memory and persistent storage options. RaimaDB offers flexible data modeling, including traditional relational models and direct relationships through network model sets. With ACID-compliant transactions and advanced indexing methods like B+Tree, Hash Table, R-Tree, and AVL-Tree, it ensures data reliability and efficiency. Built for real-time processing, it incorporates multi-version concurrency control (MVCC) and snapshot isolation, making it a robust solution for applications demanding speed and reliability.
Learn more
Less Annoying CRM
The Less Annoying CRM is a contact chief that was developed in the beginning of private companies. You can manage your contacts, drives and logbooks, as well as to-do's, from one simple web application. Our product is based on three core standards: simplicity, reasonableness, as well as exceptional client benefit. Clients get a 30-day free trial to test the CRM. Clients can also reach out via email or telephone if they have any questions.
Learn more
Google Cloud Managed Service for Apache Spark
Managed Service for Apache Spark is a unified Google Cloud platform designed to run Apache Spark workloads with greater ease, performance, and scalability. It offers both serverless and fully managed cluster deployment options, allowing users to choose the best model for their needs. The platform eliminates the need for infrastructure management, enabling teams to focus on data processing and analytics. With Lightning Engine, it delivers up to 4.9x faster performance than open-source Spark, improving efficiency for large-scale workloads. It integrates AI-powered tools like Gemini to assist with code generation, debugging, and workflow optimization. The service supports open data formats such as Apache Iceberg and connects seamlessly with Google Cloud services like BigQuery and Knowledge Catalog. It is designed for a wide range of use cases, including ETL pipelines, machine learning, and lakehouse architectures. Built-in security features and IAM integration ensure strong data governance. Flexible pricing models allow users to pay based on job execution or cluster uptime. Overall, it helps organizations modernize their data infrastructure and accelerate analytics workflows.
Learn more
Pricing
Pricing Starts At:
Free
Pricing Information:
Open source
Free Version:
Yes
Integrations
Company Details
Company:
Apache Software Foundation
Year Founded:
1999
Headquarters:
United States
Website:
iceberg.apache.org
Media
Recommended Products
$300 Free Credits to Build on Google Cloud
Put your $300 in credit toward real workloads, then keep building with free monthly usage for 20+ products. No commitment and no charge until you upgrade.
Product Details
Platforms
Web-Based
Types of Training
Training Docs
Customer Support
Online Support
Apache Iceberg Features and Options
Apache Iceberg User Reviews
Write a Review- Previous
- Next
