Oracle Big Data Appliance
Scalable, Cloud Ready Analytics Platform
A comprehensive big data platform designed to acquire, organize, and analyze large data workloads from diverse sources at speed and scale. Oracle’s cost-effective engineered system delivers out-of-the-box functionality for high-end analytics.
Oracle Big Data Appliance
Under the Hood
- Product Overview
- Technical Specifications
- Open source-friendly: Purpose-built to leverage open source tools such as Hadoop, Spark, and NoSQL, as well as to run big data workloads in Qlik, Tableau, SAS, and other analytic environments
- Leverages popular tools: Oracle Big Data SQL for SQL queries and third-party environments from WanDisco, Cloudera, and other vendors
- Exceptional performance: Integrated, optimized, and tuned to accelerate time to value and minimize deployment times
- Built-in security: Automatically identify anomalies and track fraudulent activity, secure your data, and simplify compliance auditing
- Single-vendor simplicity: Relying on Oracle for all aspects of your system minimizes the cost of deploying, maintaining, and upgrading your big data environment
- Cost-effective performance: Increase efficiency and reduce costs for big data on Hadoop and Spark while driving a faster time to value
Choose from three deployment models:
- A massively scalable, open infrastructure designed to store, analyze and manage big data
- Flexible configuration and elastic hardware choices optimize floor space and provide a path for Hadoop and Oracle NoSQL Database
- Open, multipurpose engineered system for Hadoop workloads and streaming data processing
- Industry-leading security, performance, and big data tool set, all bundled in an easy-to-deploy appliance
- InfiniBand connectivity between nodes and across racks as well as with Oracle Exadata and other Oracle engineered systems
- Combine data from Oracle Database, Kafka, and Hadoop / NoSQL in a single SQL query
- Integrate big data analysis into existing applications and architectures
- Extend security and access policies from Oracle Database to data in Hadoop
We’ve improved our business agility as well as our ability to know and serve our customers.
—Luis Esteban, Chief Data Officer, Caixa Bank
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