Infobelt Enterprise Information Archiving vs Komprise Intelligent Data Management

Infobelt Enterprise Information Archiving is an enterprise archiving platform for regulated industries and organizations retiring legacy applications. Its Omni Archive Manager supports structured, semi-structured, and unstructured data, with policy-based retention, legal holds, and role-based access. Deployment options include on-premises, cloud, and hybrid models. Documented implementations connect to databases, file systems, Amazon S3, Google Storage, EMC, Hadoop, and Salesforce. To protect archived information against ransomware, OAM uses WORM storage, secure zones, fine-grained entitlements, audit trails, encryption, and password protection. Infobelt describes AI capabilities for data acquisition, conversational querying, and defensible disposition. It says compression can reduce storage costs by up to 75%, with structured data compression reaching 90% and unstructured data compression reaching 50%. The company says it manages more than 30 trillion records and processes 20 billion new records daily, and that its platform integrated data from more than 550 legacy applications for a Fortune 10 bank. Founded in 2013, Infobelt is headquartered in Charlotte, North Carolina. Pricing is on request; the listed plan is described as a low, fixed monthly cost and installed on the customer’s premises.

Komprise Intelligent Data Management analyzes, classifies, enriches, tiers, and moves unstructured file and object data across hybrid storage. It can prepare selected data for AI workflows by indexing metadata, filtering unwanted data, detecting sensitive information, and curating datasets. Komprise says tiering cold data can reduce storage costs by 70% or more while keeping data accessible without rehydration costs when changing vendors. For migration, it advertises speeds up to 27x faster than standard tools, with metadata fidelity, integrity checks, and chain-of-custody reporting. The platform connects through NFS, SMB, S3, and REST to NAS, cloud, and object storage. Transparent File Tables provide an Apache Iceberg-compatible view for querying in Databricks, Snowflake, and other analytics or AI platforms. Governance features include sensitive-data scanning, role-based access, retention and deletion policies, audit reporting, and immutable object copies. Its hybrid SaaS architecture uses customer-controlled Observer virtual machines and a managed Global Metadatabase Service. A free AWS trial is offered, with no duration stated; pricing is available on request.