Validata Cloud Enterprise is a fully managed AI-powered data validation and reconciliation SaaS service that helps organizations ensure data accuracy and completeness across cloud and hybrid data platforms. It independently compares source and target systems to detect missing records extra records and data mismatches. It provides clear actionable reports along with SQL based reconciliation scripts. Customers gain confidence in their data pipelines faster issue detection and full control over how discrepancies are remediate without disrupting existing data replication infrastructure and workflows.
Validata Cloud Enterprise is an AI-powered enterprise-grade data validation and reconciliation service that helps organizations verify the accuracy and completeness of data across cloud and hybrid platforms. It works alongside batch CDC and streaming pipelines to identify differences between source and target systems such as missing records extra records and value-level mismatches. Validata uses a built-in smart algorithm to automatically map source and target schemas and datasets reducing manual setup and speeding up onboarding. It validates data using scalable techniques including signature-based checks for large datasets and optional deep row-level comparisons. Results are presented through clear reports and dashboards along with SQL-based reconciliation scripts that customers can review and run based on their own operational and governance policies. Validata also includes a conversational AI assistant that helps users run validations and understand results using natural language. Delivered as a fully managed SaaS and available through major cloud marketplaces Validata integrates with existing data pipelines while giving customers full control over when and how data corrections are applied. Key Capabilities Independent Data Validation Validates consistency using row counts key comparisons and column-level checks to detect missing extra and mismatched records. Smart Schema & Dataset Mapping Automatically maps source and target datasets to reduce manual configuration and handle schema changes. Scalable Validation Methods Uses signature-based (hash) validation for large datasets with optional deep row-level comparisons for detailed analysis. Actionable Reporting & Reconciliation Provides clear validation reports and generates SQL-based reconciliation scripts for customer-controlled remediation. Decoupled from Ingestion Pipelines Operates independently of ingestion and replication tools and supports batch CDC and streaming architectures. Cloud & Hybrid Ready Designed for multi-cloud and hybrid environments supporting databases data warehouses and data lakes. Auditability & Governance Produces validation results and evidence to support audits compliance reviews and incident investigations. AI Component Description Validata AI assists users in creating and managing validation jobs using natural language answers questions about validation configurations and helps interpret validation results by responding to queries on validation reports. Validata AI can run on a OLAMA server that can run entirely on Google Cloud (per Striim best practice recommendation) or customers can use LLMs from their Gemini OpenAI or Claude subscription.
Highlights
Fully managed, AI-powered data validation and reconciliation SaaS service that helps organizations ensure data accuracy and completeness across cloud and hybrid data platforms
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Pricing is based on the duration and terms of your contract with the vendor. This entitles you to a specified quantity of use for the contract duration. If you choose not to renew or replace your contract before it ends, access to these entitlements will expire.
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License-based annual pricing plan. Informational listing only. This plan is used to initiate Validata Cloud purchase and transactions through a private Azure Marketplace offer. Final pricing and infrastructure sizing are defined in a private offer based on customer requirements. Supported configurations include Small (8 vCPU), Medium(16 vCPU), Large (32 vCPU), and Xtra-Large (64 vCPU) enterprise deployments. The Historian Service is included. To request a private offer or activate the service, contact sales@striim.com or your Striim account representative.
This listing uses a single license-based annual contract dimension. It is informational only and initiates a Validata Cloud purchase through a private offer. Final pricing depends on the infrastructure size you select. Supported configurations scale by compute: Small (8 vCPU), Medium (16 vCPU), Large (32 vCPU), and Xtra-Large (64 vCPU) enterprise deployments. The Historian Service is included. You define your exact sizing and pricing with the vendor before activation. To request a private offer, you contact the vendor's sales team or your account representative.
Top-of-mind questions for buyers
What distinguishes the Small, Medium, Large, and Xtra-Large configurations for billing?
Each configuration maps to a fixed compute size: Small is 8 vCPU, Medium is 16 vCPU, Large is 32 vCPU, and Xtra-Large is 64 vCPU. More vCPU supports faster, parallel comparisons across larger tables. You pick the size that matches your data volume, and the vendor defines pricing for that sizing.
Is this a usage-based plan or a fixed annual commitment?
This is a license-based annual plan, not usage-based metering. You commit to a fixed configuration for the year rather than paying per validation run or per row compared. The price stays flat for the term regardless of how many jobs you run. The vendor sets the final figure before activation.
What is included in the plan beyond the compute configuration?
The Historian Service is included with the plan. This retains timestamped validation run history, discrepancy summaries, and results. That data supports audit readiness and drift tracking over time. The included service applies across all four compute sizes, so it does not change based on which configuration you select.
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