Arcserve UDP vs Stardog Comparison: Reviews, Features, Pricing & Alternatives in 2026

Detailed side-by-side comparison to help you choose the right solution for your team

Updated Apr 2026 8 min read

Arcserve UDP

0.0 (0 reviews)

Arcserve UDP is a unified data protection software providing all-in-one backup, disaster recovery, and true global deduplication to safeguard your physical, virtual, and cloud workloads from data loss.

Starting at --
Free Trial 30 days
VS

Stardog

0.0 (0 reviews)

Stardog is a data platform that uses a reusable knowledge graph to help you unify and query fragmented data across your entire organization without moving it from existing systems.

Starting at Free
Free Trial 30 days

Quick Comparison

Feature Arcserve UDP Stardog
Website arcserve.com stardog.com
Pricing Model Custom Freemium
Starting Price Custom Pricing Free
FREE Trial ✓ 30 days free trial ✓ 30 days free trial
Free Plan ✘ No free plan ✓ Has free plan
Product Demo ✓ Request demo here ✓ Request demo here
Deployment saas on-premise desktop cloud on-premise
Integrations VMware vSphere Microsoft Hyper-V Amazon AWS Microsoft Azure Microsoft 365 Nutanix AHV Sophos Intercept X Oracle Database Microsoft SQL Server Exchange Online Databricks Snowflake Tableau Power BI SQL Server Oracle MongoDB Apache Spark Amazon S3 Azure Data Lake
Target Users mid-market enterprise mid-market enterprise
Target Industries finance healthcare manufacturing
Customer Count 0 0
Founded Year 1983 2006
Headquarters Eden Prairie, USA Arlington, USA

Overview

A

Arcserve UDP

Arcserve UDP (Unified Data Protection) gives you a single interface to manage the backup and recovery of your entire IT environment. You can protect physical Windows and Linux servers, virtual machines on VMware or Hyper-V, and cloud data within Microsoft 365 or AWS. It eliminates the need for multiple point solutions by combining enterprise-grade backup with high availability and disaster recovery capabilities.

You can significantly reduce your storage footprint using its global source-side deduplication, which only saves changed data blocks across all your nodes. The platform is designed for mid-market and enterprise IT teams who need to meet strict recovery time objectives (RTOs) and recovery point objectives (RPOs). Whether you are recovering a single file or performing a bare-metal restore of an entire server, you can manage the process from one central console.

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Stardog

Stardog helps you break down data silos by creating a flexible knowledge graph layer over your existing infrastructure. Instead of moving data into a central warehouse, you can leave it where it lives—in SQL databases, NoSQL stores, or cloud apps—and query it as a single, unified source. This approach allows you to see relationships between data points that traditional systems often miss.

You can use the platform to power complex data discovery, fraud detection, and enterprise-wide search. It uses a semantic layer to ensure your data remains consistent and understandable across different teams. By automating the mapping of disparate data sources, you reduce the time spent on manual data preparation and can focus on gaining actual insights from your information.

Overview

A

Arcserve UDP Features

  • Unified Management Console Manage all your backup and recovery operations across physical, virtual, and cloud environments from a single, web-based interface.
  • Global Deduplication Reduce your storage requirements by up to 95% by only storing unique data blocks across all protected nodes.
  • Assured Recovery Testing Automate disaster recovery testing for your critical systems to ensure you can actually recover data when a real disaster strikes.
  • Infinite Incremental Backups Save time and bandwidth by only backing up changed blocks after your initial full backup is complete.
  • Bare Metal Restore Recover your entire system to dissimilar hardware or virtual environments quickly to minimize downtime during hardware failures.
  • Ransomware Protection Secure your backups with Sophos Intercept X Advanced to detect and stop encryption attacks before they destroy your data.
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Stardog Features

  • Virtual Graph. Query your data where it lives in real-time without the need for expensive and time-consuming data movement or ETL processes.
  • Semantic Search. Find exactly what you need by searching for concepts and relationships rather than just matching keywords in a database.
  • Inference Engine. Discover hidden relationships in your data automatically using built-in logic and reasoning that identifies connections you didn't explicitly define.
  • Data Quality Validation. Ensure your information is accurate and consistent by applying constraints and rules across all your connected data sources simultaneously.
  • Stardog Explorer. Browse and visualize your knowledge graph through an intuitive interface that lets you navigate complex data relationships without writing code.
  • Stardog Designer. Create and manage your data models visually with a drag-and-drop tool that simplifies the process of building a knowledge graph.

Pricing Comparison

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Arcserve UDP Pricing

S

Stardog Pricing

Free
$0
  • Single user access
  • Up to 5 million triples
  • Community support access
  • Stardog Designer access
  • Stardog Explorer access

Pros & Cons

M

Arcserve UDP

Pros

  • Excellent data deduplication rates save significant storage space
  • Single console manages physical and virtual backups easily
  • Reliable bare metal recovery for quick system restoration
  • Flexible deployment options for cloud and on-premise needs

Cons

  • Initial configuration and setup can be complex
  • User interface feels dated compared to newer competitors
  • Technical support response times can be inconsistent
  • Reporting features require a learning curve to master
A

Stardog

Pros

  • Eliminates the need for complex ETL pipelines
  • Powerful reasoning engine discovers hidden data connections
  • Flexible schema makes it easy to update models
  • Excellent visualization tools for non-technical users

Cons

  • Significant learning curve for SPARQL and modeling
  • Performance can lag with extremely large datasets
  • Documentation can be difficult to navigate sometimes
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