Exadata Cloud Service
Oracle Exadata Cloud Service (ExaCC) is a purpose-built on-premises cloud deployment for running Oracle Database, designed for organizations that need the operational model of a public cloud but must keep data and workloads within their own data centers due to latency, security, or compliance constr
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Oracle Exadata Cloud Service (ExaCC) is a purpose-built on-premises cloud deployment for running Oracle Database, designed for organizations that need the operational model of a public cloud but must keep data and workloads within their own data centers due to latency, security, or compliance constraints. It targets enterprises running mission-critical Oracle Database workloads—OLTP, analytics, and AI—that demand higher performance, better efficiency, and sustainability than generic cloud alternatives can deliver. As the second generation of Exadata Cloud at Customer, based on Exadata X8 and now extending to X11M, it provides an integrated and flexible solution directly from Oracle, the producer of the Database itself, aligning cloud advantages with users' real-world needs. This service is part of Oracle’s broader multicloud strategy, enabling low-latency, native access to Oracle databases running on Exadata Cloud Infrastructure across OCI, Microsoft Azure, Google Cloud, and AWS, with full compatibility with Oracle Database and Exadata features.
The service operates via a subscription-based pricing model where organizations pay based on configuration size, including compute and storage resources consumed. Key capabilities are driven by Exadata System Software 25ai and the X11M generation, delivering specific performance gains: for AI workloads, up to 43% faster in-memory vector index scans on database servers and up to 4.7x more filtering on storage servers with adaptive Top-K; for OLTP, up to 1.25x more concurrent transactions and up to 1,000,000 write IOPS per storage server; for analytics, up to 25% faster analytic query processing and up to 2.2x faster Smart Scan throughput (now up to 100 GB/s per storage server). It also includes intelligent power efficiency capabilities that dynamically save power when workload demand is low, and simplifies multicloud management and operations through a unified control plane.
In the market, Exadata Cloud Service competes directly with Oracle Autonomous Database, Oracle Database@Azure, Oracle Database@Google Cloud, and Oracle Database@AWS. While these alternatives offer cloud-based Oracle Database services, they lack the architectural congruence and purpose-built hardware-software integration of Exadata. According to ESG, all vendors except Oracle have limitations such as lack of architectural congruence or simply lack of availability. Oracle’s offering takes advantage of its Engineered System status to deliver capabilities and advantages that alternatives cannot match, including higher performance, better efficiency, and sustainability. However, the service is not a turnkey solution; it requires significant Oracle expertise and ongoing vendor handholding for successful production deployment.
The honest trade-offs are clear: Exadata Cloud Service delivers unmatched performance and integration for Oracle Database workloads, but it is immature and complex, requiring constant handholding from Oracle to deploy into production successfully. The product is cumbersome, with a steep learning curve and dependency on Oracle’s support team. Pricing is subscription-based but can be opaque, with costs varying widely based on configuration size and resource consumption. Organizations must weigh these operational burdens against the performance gains—such as 43% faster vector index scans and 1.25x more concurrent transactions—and the benefit of a single-vendor solution that simplifies multicloud management.
How it works
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Purpose-built on-premises cloud
Designed for Oracle Database users wanting cloud benefits in their own data centers, avoiding public cloud constraints.
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Exadata X8 and X11M hardware
Second generation based on Exadata X8, now extended to X11M, delivering integrated hardware-software performance.
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AI workload acceleration
Up to 43% faster in-memory vector index scans and 4.7x more filtering on storage servers with adaptive Top-K.
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OLTP performance boost
Up to 1.25x more concurrent transactions and 1,000,000 write IOPS per storage server.
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Analytics query speedup
Up to 25% faster analytic query processing and 2.2x faster Smart Scan throughput (up to 100 GB/s per server).
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Intelligent power efficiency
Dynamically saves power when workload demand is low, reducing operational costs and environmental impact.
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Multicloud management simplification
Enables low-latency, native access to Oracle databases across OCI, Azure, Google Cloud, and AWS.
Strengths and trade-offs
Strengths
- Delivers up to 43% faster in-memory vector index scans for AI workloads on database servers.
- Improves OLTP workloads with up to 1.25x more concurrent transactions compared to the prior generation.
- Accelerates analytics with up to 25% faster query processing and 2.2x faster Smart Scan throughput.
- Includes intelligent power efficiency capabilities that dynamically reduce power consumption during low demand.
Trade-offs
- The product is immature and requires constant handholding from Oracle to successfully deploy into production.
- The service is complex and cumbersome, with a steep learning curve for administrators.
- Pricing is subscription-based but opaque, varying significantly by configuration size without transparent tiers.
- Dependency on Oracle's support team for deployment and operations limits self-service and agility.
Pricing context
Subscription-based pricing model where organizations pay based on configuration size, including the number of compute and storage resources consumed. No specific dollar figures or named tiers are publicly disclosed in the sources.
Getting started with Exadata Cloud Service
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Subscribe to Exadata Cloud Service
Navigate to the Oracle Cloud Infrastructure console and select Exadata Cloud Service. Choose your configuration size based on compute and storage needs, then complete the subscription process to provision the service in your data center.
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Connect your on-premises network
Set up a secure connection between your data center network and the Exadata Cloud Service using Oracle FastConnect or VPN. Configure routing and firewall rules to allow database traffic from your applications to the service endpoints.
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Configure Oracle Database instances
Log into the Exadata Cloud Service console and create database instances. Specify database version, character set, and storage parameters. Apply Exadata System Software 25ai settings to enable AI, OLTP, or analytics optimizations.
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Load and test your workload
Import your Oracle Database schemas and data using Oracle Data Pump or SQL*Loader. Run a representative workload to verify performance gains, such as measuring transaction throughput or query response times against baseline metrics.
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Schedule regular maintenance windows
Set up automated patching and backup schedules through the OCI console. Coordinate with Oracle support for major updates, ensuring minimal downtime. Monitor resource usage and adjust configuration size as needed via subscription changes.
Frequently Asked Questions
What is Oracle Exadata Cloud Service?
Oracle Exadata Cloud Service (ExaCC) is a purpose-built on-premises cloud deployment for running Oracle Database. It gives organizations the operational model of a public cloud while keeping data and workloads in their own data centers to meet latency, security, or compliance needs.
How does Exadata Cloud Service improve AI workload performance?
Exadata Cloud Service delivers up to 43% faster in-memory vector index scans on database servers and up to 4.7x more filtering on storage servers using adaptive Top-K. These gains accelerate AI workloads significantly compared to prior generations.
What OLTP performance gains does Exadata Cloud Service offer?
For OLTP workloads, Exadata Cloud Service provides up to 1.25x more concurrent transactions and up to 1,000,000 write IOPS per storage server. These improvements boost transaction processing efficiency for mission-critical database applications.
Can Exadata Cloud Service be used with multiple cloud providers?
Yes, Exadata Cloud Service enables low-latency, native access to Oracle databases across OCI, Microsoft Azure, Google Cloud, and AWS. It simplifies multicloud management through a unified control plane, supporting Oracle's broader multicloud strategy.
How is Exadata Cloud Service priced?
Exadata Cloud Service uses a subscription-based pricing model where organizations pay based on configuration size, including compute and storage resources consumed. No specific dollar figures or named tiers are publicly disclosed, making costs vary widely.
What are the main drawbacks of Exadata Cloud Service?
The service is immature and complex, requiring constant handholding from Oracle for successful production deployment. It has a steep learning curve, opaque subscription pricing, and dependency on Oracle's support team, limiting self-service and agility.
Alternatives
How Exadata Cloud Service compares
Direct head-to-head against 3 competitors. Picked by 7wData.
Exadata Cloud Service
- Pricing
- Subscription-based pricing model where organizations pay based on configuration size, including the number of compute and storage resources consumed. No specific dollar figures or named tiers are publicly disclosed in the sources.
- Target
- Oracle Exadata Cloud Service (ExaCC) is a purpose-built on-premises cloud deployment for running Oracle Database, designed for organizations that need the operational model of a
- Strength
- Delivers up to 43% faster in-memory vector index scans for AI workloads on database servers.
- Watch for
- The product is immature and requires constant handholding from Oracle to successfully deploy into production.
AWS RDS Custom for Oracle
- Pricing
- $36.05/hour for comparable configuration
- Target
- Oracle workloads on commodity cloud infra
- Deployment
- AWS cloud
- Strength
- AWS ecosystem integration
- Watch for
- 20X cost premium vs Exadata for similar config
Microsoft SQL Server
- Pricing
- Enterprise Edition $13,748/core (2-core pack)
- Target
- Enterprise transactional systems
- Deployment
- On-prem/cloud/hybrid
- Strength
- Windows ecosystem integration
- Watch for
- Limited scale vs Exadata for large DBs
MongoDB Atlas
- Pricing
- $0.08/vCPU/hour (M30 tier)
- Target
- Document-based workloads
- Deployment
- Multi-cloud managed service
- Strength
- Horizontal scaling for unstructured data
- Watch for
- Different data model vs relational Exadata
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Sources
Reporting on this tool draws on these publicly available sources.