Sold by: Ocient Inc.
Transform Store and Analyze the Worlds Largest Datasets
Overview
Ocient is the leading hyperscale data analytics solutions company that enables organizations and government agencies to unlock massive value from trillions of data records at performance levels and costs previously unattainable.
Built from the ground up to harness petabyte scale workloads and support multiple concurrent users, the Ocient Hyperscale Data Warehouse delivers where other solutions fall short. Shorten time to query and leverage continuous analysis on hyperscale data while improving performance by up to 50x.
About the Ocient Hyperscale Data Warehouse Transform, store, and analyze up to 10x more data with Ocient Compute Adjacent Storage Architecture (CASA) and secondary indexing optimized to run in AWS.
- Improve performance by 10x-50x on compute-intensive queries that return in seconds to minutes
- Stream or load data continuously at no extra cost lowering time to query with no extra tooling and no incremental costs
- Consolidate more workloads on a single platform making raw source data securely available to more lines and business and users
- Deploy a turnkey solution saving months in precious data engineering time and resources
- Cut costs by 50% or more by leveraging the most modern hardware in the cloud and Ocient Zero Copy Reliability
Accelerate Your Solution Deployment Ocient takes on the heavy lifting of designing and configuring solutions tailored to your business requirements and use case. Execute complex queries using standard ANSI SQL and save on the cost of ownership with a solution managed and monitored by Ocient.
Unlock more value from your data, trillions of records at a time with Ocient.
Highlights
- Scales linearly to handle petabytes of data without sacrificing performance
- Delivers low-latency transformation, streaming, and file loading with optimized indexing to rapidly move your data from its source into Ocient at hyperscale
- Designed for maximum cost savings, enabling customers to analyze up to 10x more data while cutting costs by 50% or more
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Dimension | Description | Cost/month |
|---|---|---|
Pilot | 180TB Raw Storage Capacity (900TB Uncompressed); 240 Cores Processing | $50,000.00 |
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Hyperscale Data Storage Capacity
Scales linearly to handle petabytes of data without sacrificing performance, supporting up to 10x more data storage compared to traditional solutions
Query Performance Optimization
Delivers 10x-50x performance improvement on compute-intensive queries through Compute Adjacent Storage Architecture (CASA) and secondary indexing optimized for AWS
Data Ingestion and Streaming
Supports continuous data streaming and file loading at no extra cost with low-latency transformation and optimized indexing for rapid data ingestion at hyperscale
SQL Query Execution
Executes complex queries using standard ANSI SQL with results returned in seconds to minutes for hyperscale datasets
Data Reliability and Cost Efficiency
Implements Zero Copy Reliability technology to reduce costs by 50% or more while maintaining data integrity and enabling secure access across multiple business lines and users
Query Engine Architecture
Vectorized query engine with optimizer designed to handle complex queries, joins, and machine-generated queries efficiently
SQL Compatibility
Postgres-compatible SQL support enabling standard SQL operations across analytical workloads
Data Format Support
Apache Iceberg table format support for efficient data storage and management
Infrastructure Architecture
Decoupled metadata, storage, and compute architecture enabling isolated testing environments and independent scaling
Performance Optimization
Tunable data layout, caching mechanisms, and query plan control for production workload optimization
Vectorized Query Execution
Implements vectorized query execution to achieve sub-second response times for large-scale data queries
Column-Oriented Storage
Utilizes column-oriented storage architecture to optimize data compression and query performance
Distributed Query Processing
Supports distributed JOIN operations across multiple nodes for efficient processing of large datasets
Unified Batch and Streaming Data Platform
Integrates batch and real-time streaming data into a single platform for unified analytics
Compute-Storage Separation Architecture
Separates compute and storage layers with independent scalability for computing resources and distributed storage
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