PerformX: High-Performance Data Processing Engine

Press Release

Ataiva Launches PerformX: Redefining the Speed of Data Processing

For immediate release - March 15, 2025

Sub-headline

PerformX delivers breakthrough performance for data processing, enabling organizations to analyze massive datasets up to 100x faster than traditional solutions while using significantly fewer computing resources.

The Problem

In today’s data-driven world, organizations face a critical challenge: the volume and complexity of data are growing exponentially, but traditional data processing technologies can’t keep pace. Data teams struggle with slow query response times, expensive infrastructure requirements, and complex architectures that limit scalability. These limitations create bottlenecks that delay critical business insights, increase costs, and prevent organizations from fully leveraging their data assets.

The Solution

PerformX addresses these challenges with a revolutionary data processing engine built from the ground up for modern analytics workloads. By combining vectorized processing, intelligent memory management, and columnar storage optimizations, PerformX delivers unprecedented performance and efficiency. Organizations can now process petabyte-scale datasets in seconds rather than hours, enabling real-time insights and dramatically reducing infrastructure costs.

Customer Quote

“Before implementing PerformX, our data analysts were waiting 45 minutes for complex queries to complete, severely limiting their productivity and our ability to make data-driven decisions,” says Dr. Amelia Richardson, Chief Data Officer at Global Financial Services. “With PerformX, those same queries now complete in under 30 seconds—a 90x improvement. We’ve reduced our data infrastructure costs by 78% while enabling our analysts to iterate faster and explore data more deeply. The impact on our business has been transformative, allowing us to identify market opportunities and respond to changes in real-time.”

How It Works

PerformX achieves its exceptional performance through multiple innovations working in concert:

The engine uses vectorized processing to execute operations on blocks of data simultaneously, taking full advantage of modern CPU architectures. Its adaptive query optimizer analyzes data characteristics in real-time to determine the most efficient execution plan. The columnar storage format minimizes I/O operations and enables highly efficient compression, while the advanced memory management system reduces garbage collection overhead and maximizes throughput.

PerformX supports both batch and streaming workloads, with a unified processing model that simplifies architecture. The system scales linearly from a single server to thousands of nodes, automatically distributing workloads for optimal performance. Built-in connectors for common data sources and formats enable seamless integration with existing data ecosystems.

Availability & Pricing

PerformX is available today with flexible deployment options:

• Standard Edition: Starting at $5,000 per month for organizations processing up to 10TB of data
• Enterprise Edition: Starting at $15,000 per month with advanced features for large-scale deployments
• Managed Service: Fully managed PerformX deployments with 24/7 support and optimization
• On-Premises: Custom pricing for organizations requiring deployment in their own data centers

All editions include core performance optimizations, with enterprise features like advanced security, high availability, and priority support available in higher tiers.

Get Started Today

Ready to transform your data processing capabilities? Contact our sales team for a personalized demo or start a free trial to experience the power of PerformX with your own data.

Frequently Asked Questions

Product Questions

What is PerformX?
PerformX is a high-performance data processing engine designed to handle massive datasets with unprecedented speed and efficiency. It enables organizations to process and analyze data up to 100x faster than traditional solutions while using significantly fewer computing resources, supporting both batch and streaming workloads through a unified architecture.

What problems does PerformX solve?
PerformX addresses several critical challenges in data processing:

• Slow query performance that delays business insights
• Excessive infrastructure costs for data processing
• Scalability limitations with growing data volumes
• Complex architectures requiring separate systems for batch and streaming
• Resource inefficiency leading to wasted computing capacity
• Performance bottlenecks in data pipelines and ETL processes

What types of data can PerformX process?
PerformX is designed to handle diverse data types and formats:

• Structured data (tables, databases)
• Semi-structured data (JSON, XML, logs)
• Time series data
• Geospatial data
• Text data for analytics
• Streaming data in real-time
• Data in various formats including CSV, Parquet, ORC, Avro, and custom formats

How does PerformX compare to other data processing solutions?
PerformX consistently outperforms leading solutions in benchmarks, delivering 7-10x faster processing with 5-10x lower resource utilization. Unlike many alternatives that excel at either batch or streaming, PerformX provides exceptional performance for both workloads through a unified engine. Its architecture eliminates the need for separate systems for different processing needs, simplifying your data stack while improving performance.

Technical Questions

How does PerformX achieve such significant performance improvements?
PerformX uses multiple technical innovations to achieve its performance advantages:

• Vectorized processing that leverages SIMD (Single Instruction, Multiple Data) operations
• Columnar storage format optimized for analytical workloads
• Adaptive query optimization that adjusts execution plans based on data characteristics
• Advanced memory management with minimal garbage collection overhead
• Intelligent data compression that reduces I/O bottlenecks
• Just-in-time compilation of critical processing paths
• Data locality optimizations that minimize data movement

What are the system requirements for running PerformX?
PerformX is designed to run efficiently on modern hardware:

• Minimum: 8 CPU cores, 32GB RAM, SSD storage
• Recommended: 16+ CPU cores, 64GB+ RAM, NVMe storage
• For distributed deployments: 10GbE or faster networking
• Supported operating systems: Linux (Ubuntu, RHEL, Amazon Linux), Windows Server
• Cloud environments: AWS, Azure, GCP, or any Kubernetes cluster

How does PerformX handle scaling as data volumes grow?
PerformX scales linearly from a single server to thousands of nodes. The distributed architecture automatically partitions data and processing across available resources. You can add nodes to increase capacity without architectural changes, and the system maintains consistent performance characteristics as you scale. Dynamic resource allocation ensures optimal utilization across varying workloads.

What integration capabilities does PerformX provide?
PerformX offers extensive integration options:

• Native connectors for databases (PostgreSQL, MySQL, Oracle, SQL Server, etc.)
• Support for data lakes (S3, ADLS, GCS)
• Streaming integration (Kafka, Kinesis, Pulsar)
• API connectivity for custom data sources
• Interfaces for SQL, Python, R, Java, and Scala
• REST API for service-oriented architectures
• Integration with BI tools through JDBC/ODBC

Implementation Questions

How long does it take to implement PerformX?
Basic implementation can be completed in as little as one day for standard deployments. More complex scenarios involving custom integrations, large-scale distributed deployments, or migration from existing systems typically take 1-4 weeks. Our implementation team provides guidance throughout the process to ensure optimal configuration and performance.

Can PerformX integrate with our existing data infrastructure?
Yes, PerformX is designed to integrate seamlessly with your existing data ecosystem. It can read from and write to your current data sources without requiring migration. The system works alongside your existing tools and can be adopted incrementally, starting with specific high-value use cases before expanding to broader implementation.

What deployment options are available for PerformX?
PerformX offers flexible deployment options:

• Cloud-native deployment on AWS, Azure, or GCP
• Kubernetes-based deployment on any infrastructure
• On-premises deployment on your own hardware
• Hybrid deployments spanning multiple environments
• Fully managed service where we handle all operational aspects

How does PerformX handle data security and governance?
PerformX includes comprehensive security and governance features:

• Role-based access control with fine-grained permissions
• Data encryption both at rest and in transit
• Audit logging of all system access and operations
• Data lineage tracking for compliance and governance
• Integration with enterprise authentication systems
• Column-level security and dynamic data masking
• Compliance with industry standards including GDPR, CCPA, and HIPAA

Pricing & Support Questions

What support options are available?
Support options vary by edition:

• Standard: Business hours support with 24-hour response time
• Enterprise: 24/7 support with 1-hour response for critical issues
• Managed Service: Proactive monitoring and support with 15-minute response
• All customers receive access to documentation, knowledge base, and community forums

Can PerformX be licensed for specific use cases rather than overall data volume?
Yes, we offer flexible licensing options including:

• Data volume-based licensing (standard approach)
• Use case-specific licensing for targeted implementations
• Node-based licensing for predictable infrastructure planning
• Consumption-based pricing for variable workloads
• Enterprise-wide licensing for unlimited usage

Is there a free trial available?
Yes, we offer a 30-day free trial that allows you to test PerformX with your own data. The trial includes access to all features and dedicated support to help you evaluate the platform effectively. We also offer a proof-of-concept program for enterprise customers with specific performance requirements.

What kind of ROI can I expect from implementing PerformX?
Organizations typically see ROI in multiple areas:

• 70-90% reduction in query processing time
• 50-80% reduction in infrastructure costs
• Increased analyst productivity through faster iteration
• New use cases enabled by real-time processing capabilities
• Simplified architecture reducing operational overhead
• Ability to process larger datasets for deeper insights

Key Features

Performance Benchmarks

Use Cases

What Our Clients Say

“PerformX has transformed our data analytics capabilities. Queries that used to take hours now complete in minutes, allowing our analysts to iterate faster and derive deeper insights. The ROI has been tremendous.”

— Robert Chen, Chief Data Officer, Global Financial Services

“Implementing PerformX allowed us to process customer data in real-time, enabling personalized experiences that have significantly improved conversion rates. The performance gains have directly impacted our bottom line.”

— Sophia Rodriguez, VP of Engineering, E-commerce Platform