Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
As tasks grow increasingly intricate and time constraints tighten, the demand for enhanced collaboration rises, revealing that traditional tool chains are inadequate for parallel, simultaneous editing. The need for international and multidisciplinary work divisions calls for scalable system architectures that can accommodate various setups, from individual workstations to extensive Cloud computing solutions. These systems must facilitate both real-time collaboration on shared databases and offline integration with suppliers and clients. Imagine the efficiency gained by managing these numerous responsibilities more swiftly, eliminating the risk of data transfer errors and the need for convoluted discussions. Envision a seamless collaboration among all involved parties, regardless of geographic barriers, time differences, diverse skill sets, languages, and engineering cultures. With a contemporary Cloud framework that ensures constant access to up-to-date information, this vision is not just a dream; it's already a tangible reality with Engineering Base, revolutionizing the way we work together!
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.
API Access
Has API
API Access
Has API
Integrations
Amazon Data Firehose
Apache Flink
Apache Hive
Apache Impala
Apache Spark
Cloudflare R2
CodeConductor
Daft
Dell AI-Ready Data Platform
Dremio
Integrations
Amazon Data Firehose
Apache Flink
Apache Hive
Apache Impala
Apache Spark
Cloudflare R2
CodeConductor
Daft
Dell AI-Ready Data Platform
Dremio
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
Free
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
AUCOTEC
Founded
1985
Country
Germany
Website
www.aucotec.com/en/products/engineering-base/engineering-base/
Vendor Details
Company Name
Apache Software Foundation
Founded
1999
Country
United States
Website
iceberg.apache.org
Product Features
Engineering
2D Drawing
3D Modeling
Chemical Engineering
Civil Engineering
Collaboration
Design Analysis
Design Export
Document Management
Electrical Engineering
Mechanical Engineering
Mechatronics
Presentation Tools
Structural Engineering
Product Features
Big Data
Collaboration
Data Blends
Data Cleansing
Data Mining
Data Visualization
Data Warehousing
High Volume Processing
No-Code Sandbox
Predictive Analytics
Templates