Company Overview
Snapshot
Founded in January 2011 by Adi Kariv, All in Image operates with 1–10 employees. The company provides solutions for big data management, focusing on distributed, file-based databases.
Business overview
All in Image develops a distributed, file-based database designed for the holistic management of vast-scale, structured, and unstructured data. Its platform enables aggregating, storing, and querying heterogeneous data at exceptional speeds while reducing compute, network, storage, and maintenance costs. The core technology allows each file in the database to be a self-contained, encapsulated database, including metadata and compressed data, facilitating easy movement across processing elements and storage tiers. The database is compatible with scalable file systems such as Hadoop, AWS S3, EMC/Isilon, Red Hat Gluster, IBM GPFS, and Intel Lustre, serving enterprises, laboratories, and hospitals within the Business Software sector.
Company Intelligence Q&A
- What is All in Image's core technology?
- All in Image's core technology is a distributed, file-based database that enables the holistic management of vast-scale, structured, and unstructured data. Each file functions as a self-contained, encapsulated database, including metadata and compressed data.
- What problem does All in Image's platform address?
- The platform addresses the challenges of aggregating, storing, and querying heterogeneous data at high speeds, aiming to reduce compute, network, storage, and maintenance costs for its users.
- Which industries does All in Image serve?
- All in Image serves various industries, including enterprises, laboratories, and hospitals, providing solutions for big data management and data architecture.
- What types of file systems are compatible with All in Image's database?
- The All in Image database can run on top of any scalable file system, including Hadoop, AWS S3, EMC/Isilon, Red Hat Gluster, IBM GPFS, and Intel Lustre.
- Who founded All in Image?
- All in Image was founded by Adi Kariv in January 2011.