Data Cosmos Data Object Analyzer – AI-Powered Database Discovery
Coforge Limited · Operations & Productivity
Certification per AWS Marketplace.
Evidence tier Source Confirmed · 4 captures on record
What the publisher says
As described on AWS Marketplace.
Overview:
Data Object Analyzer is an intelligent database management platform providing automated discovery, diagnostics, and performance insights across enterprise database landscapes. Data environments suffer from fragmented visibility across multiple engines, high dependency on manual SQL scripting, reactive maintenance where issues surface only after performance degrades, and tool sprawl from disconnected monitoring tools. The Data Object Analyzer addresses these gaps with a unified, intelligent interface for database discovery, profiling, health checks, and optimization — enabling teams to move from reactive firefighting to proactive management. Data Object Analyzer is part of Coforge Data CosmosTM which is our Innovation Backbone combining platforms, agentic accelerators, and services to enable end-to-end data engineering, BI, governance, and analytics.
Show the rest of the publisher’s description (23 more lines)
Core Capabilities:
- Automated DB Scanner
Instant server discovery and connection validation across heterogeneous environments. Automatically detects database instances, validates connectivity, catalogs configurations, and maps topologies — eliminating manual environment setup. Supports Oracle, PostgreSQL, MySQL, SQL Server, Amazon RDS, Amazon Aurora, Amazon Redshift, and Snowflake.
- Smart Recommendations Engine
Severity-tagged advisory for query optimization. Analyzes execution plans, identifies high-latency queries, detects index inefficiencies, and provides actionable recommendations ranked by severity (Critical, High, Medium, Low) with root cause, expected impact, and suggested remediation.
- Deep Diagnostics (6-Tab View)
Comprehensive diagnostic interface with six perspectives:
- Health Overview — Real-time server health, CPU/memory/disk utilization, connection pool status
- Schema Analysis — Automated profiling with table structures, column types, constraints, indexes
- Query Performance — Execution plan analysis, slow query identification, lock contention detection
- Data Profiling — Statistical profiling of distributions, null percentages, cardinality
- Dependency Mapping — Visual mapping of inter-table relationships and cross-database references
- Configuration Audit — Server configuration review against best practices
- Smart Dashboard & Unified Governance
Single-pane-of-glass view across all connected databases. Tracks query latency trends, schema change history, health scores, and recommendation compliance. Enables governance oversight of database health across the enterprise.
- Cloud-Native Deployment on AWS
Deployed on Amazon EKS with integration to Amazon RDS, Amazon Aurora, Amazon Redshift, and self-managed dsatabases on EC2. Amazon Bedrock powers AI Chat (MCP). Amazon S3 stores diagnostic snapshots and audit logs. Amazon CloudWatch integration for infrastructure monitoring.
Business Benefits:
- 70% reduction in environment discovery time through automated DB scanning
- Proactive query optimization with severity-tagged recommendations
- Democratized database insights via AI Chat — reducing Data Analyst and DBA dependency by 60%
- Unified governance with consolidated Smart Dashboard across all engines
- Accelerated troubleshooting with 6-tab diagnostics replacing manual SQL analysis
Highlights
Highlighted by the publisher on AWS Marketplace.
Automated DB Scanner with instant discovery across Oracle, PostgreSQL, MySQL, RDS, Aurora, and Redshift
Deep Diagnostics with 6-tab view for health, schema, query performance, profiling, dependencies, and configuration
Smart Recommendations engine with severity-tagged query optimization advisory
Agent build and provenance
See the full provenance
The layer-by-layer build, the evidence behind each claim, the risk basis and the cross-marketplace links are open to any account. Some rows are disclosed, some the source leaves Unknown; a free account shows you which.
Compliance
- FedRAMPConfirmedNot listed90%, registry-checkedNo FedRAMP Marketplace entry matched this vendor's domain, checked 2026-08-27registry recordas observed 2026-08-27
Confirmed means matched to a public authoritative registry. Claimed means the vendor or its listing states it, not yet cross-checked. A framework not shown was not found in any source we hold, which is not evidence against it. Not listed means a scoped registry check found no match for this vendor's domain: a No is a scoped registry check, not a compliance judgment. Confidence bands: 95% domain-verified, 90% registry-checked, 80% self-attested, 70% weak signal. Self-attested items marked “vendor's site” are gathered from the vendor's own website and are not verified by us.
Vendor
External enrichment · as of 2026-08-29
Sources
Linked repositories
Unknown means this listing does not publish a repository. It is not a statement that the code is closed, and a linked repository is not a claim that the publisher wrote it: the registry computes that relationship privately and does not publish it.
Evidence risk is the share of the build you cannot see before you deploy, not a security rating. Sign in to see the layer-by-layer basis for this band.