Cohesity
Cohesity is a unified data management platform providing AI-powered backup, recovery, and security solutions to protect your enterprise data across multi-cloud, on-premises, and edge environments from a single interface.
Databricks
Databricks is a unified data and AI platform that combines the best of data warehouses and data lakes into a lakehouse architecture to help you simplify your data engineering, analytics, and machine learning workflows.
Quick Comparison
| Feature | Cohesity | Databricks |
|---|---|---|
| Website | cohesity.com | databricks.com |
| Pricing Model | Custom | Subscription |
| Starting Price | Custom Pricing | $??/month |
| FREE Trial | ✓ 30 days free trial | ✓ 14 days free trial |
| Free Plan | ✘ No free plan | ✘ No free plan |
| Product Demo | ✓ Request demo here | ✓ Request demo here |
| Deployment | ||
| Integrations | ||
| Target Users | ||
| Target Industries | ||
| Customer Count | 0 | 0 |
| Founded Year | 2013 | 2013 |
| Headquarters | San Jose, USA | San Francisco, USA |
Overview
Cohesity
Cohesity simplifies how you protect and manage your data across fragmented environments. Instead of juggling separate tools for backup, file services, and disaster recovery, you get a single platform that consolidates these functions. You can secure your data against ransomware with immutable snapshots and AI-driven threat detection that alerts you to suspicious activity before it spreads.
The platform helps you reduce storage costs by eliminating redundant data copies and moving inactive data to the cloud. You can also put your backup data to work by running analytics or dev-test workloads directly on the platform. It is designed for mid-to-large enterprises that need to maintain high availability and compliance while managing massive amounts of data across hybrid cloud infrastructures.
Databricks
Databricks provides you with a unified Data Lakehouse platform that eliminates the silos between your data warehouse and data lake. You can manage all your data, analytics, and AI use cases on a single platform built on open-source technologies like Apache Spark, Delta Lake, and MLflow. This setup allows your data engineers, scientists, and analysts to collaborate in a shared workspace using SQL, Python, Scala, or R to build reliable data pipelines and high-performance models.
The platform helps you solve the complexity of managing fragmented data infrastructure by providing a consistent governance layer across different cloud providers. You can process massive datasets with high performance, ensure data reliability with ACID transactions, and deploy generative AI applications securely. Whether you are building real-time streaming applications or complex financial reports, you can scale your compute resources up or down based on your specific project needs.
Overview
Cohesity Features
- Instant Recovery Recover your virtual machines and databases at scale in minutes to minimize downtime during outages.
- Immutable Snapshots Protect your backup data from being encrypted or deleted by ransomware with read-only architectural safeguards.
- AI Threat Detection Identify anomalies in your data patterns automatically to catch potential cyber threats in real-time.
- SmartFiles Manage your unstructured data efficiently with a software-defined file and object solution that scales limitlessly.
- Global Search Find specific files or objects across your entire global footprint instantly with a Google-like search interface.
- Cloud Integration Extend your local storage to the public cloud for long-term retention or disaster recovery with one click.
Databricks Features
- Collaborative Notebooks. Write code in multiple languages within the same notebook and share insights with your team in real-time.
- Delta Lake Integration. Bring reliability to your data lake with ACID transactions and scalable metadata handling for all your datasets.
- Unity Catalog. Manage your data and AI assets across different clouds with a single, centralized governance and security layer.
- Mosaic AI. Build, deploy, and monitor your own generative AI models and LLMs using your organization's private data securely.
- Serverless SQL. Run your BI workloads with instant compute power that scales automatically without the need to manage infrastructure.
- Delta Live Tables. Build reliable and maintainable data pipelines by defining your transformations and letting the system handle the orchestration.
Pricing Comparison
Cohesity Pricing
Databricks Pricing
- Apache Spark workloads
- Collaborative notebooks
- Standard security features
- Basic data engineering
- Community support access
- Everything in Standard, plus:
- Unity Catalog governance
- Role-based access controls
- Compliance (HIPAA, PCI-DSS)
- Serverless SQL capabilities
- Advanced machine learning tools
Pros & Cons
Cohesity
Pros
- Fast recovery times for large-scale virtual environments
- Intuitive user interface simplifies complex management tasks
- Strong deduplication significantly reduces your storage footprint
- Consolidates multiple legacy tools into one platform
Cons
- Initial setup requires significant planning and time
- Premium pricing may be high for smaller budgets
- Learning curve for advanced policy-based automation features
Databricks
Pros
- Exceptional performance for large-scale data processing
- Seamless collaboration between data scientists and engineers
- Unified platform reduces need for multiple tools
- Strong support for open-source standards and APIs
Cons
- Steep learning curve for non-technical users
- Costs can escalate quickly without strict monitoring
- Initial workspace configuration can be complex