Hybrid Data Lakehouse

RankSaga Data Lakehouse

The only hybrid, open data lakehouse for enterprise AI and analytics.
Unify structured and unstructured data to improve gen AI accuracy and performance while balancing workloads and slashing costs.

Unified Data Integration

Unify structured and unstructured data to improve gen AI accuracy and performance. Integrate data from any source using batch, real-time streaming, and replication styles. Our unified control plane allows you to integrate both structured and unstructured data seamlessly, so you're not wasting time and money toggling between tools. Automate the ingestion, enrichment and delivery of unstructured data at scale.

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Multi-Engine Architecture

A unique multi-engine architecture optimizes for price and performance so you can keep up with growing data volumes without busting your budget. Pair individual workloads with fit-for-purpose engines such as Apache Spark™, Presto and Presto C++. Reduce data warehouse costs by up to 50% while maintaining optimal performance. Right engine, right price for every workload.

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Conversational Analytics & Gen AI Ready

A single, intuitive interface puts you in command of the entire data for AI lifecycle. Manage all your structured and unstructured data and scale accurate gen AI apps. Features conversational analytics that allow you to query your data using natural language. Achieve 40% more accurate AI than conventional RAG with our advanced retrieval layer and unified data fabric.

Explore Data LakehouseDetails
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How It Works

Simplify Your Data Lifecycle for Better AI

Transform your data into AI-ready insights.
From data integration to conversational analytics, our streamlined process gets your data lakehouse running quickly and efficiently.

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Integrate and Enrich Your Data

Connect to any data source—databases, data warehouses, data lakes, cloud storage, and more. Automate the ingestion, enrichment and delivery of unstructured data at scale. Use batch, real-time streaming, or replication styles to integrate both structured and unstructured data. Our unified control plane eliminates the need to toggle between multiple tools, saving time and reducing costs. Prepare your data for AI with automated transformation, cataloging, and quality checks.

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Conversational Analytics

Query your data using natural language through our conversational analytics interface. Ask questions in plain English and get instant insights from your unified data. The system understands context and can generate reports, analyze trends, and provide intelligent recommendations. No-code, low-code, and pro-code user experiences foster self-service access to data insights for your entire team. Build gen AI apps that leverage your contextualized data for more accurate results.

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Simplified Governance

Maintain end-to-end document lineage through all transformations and downstream derivatives. Ensure that data protections and user access restrictions are consistent throughout the data lifecycle. Our governance framework provides comprehensive access controls, audit trails, and compliance monitoring. Built-in security features ensure your data is protected while remaining accessible to authorized users. Deploy anywhere—public cloud, private cloud, hybrid cloud, or on premises—with consistent governance across all environments.

Core Capabilities

Enterprise Data Lakehouse Platform: Hybrid, Open, and AI-Ready

Built for enterprises seeking intelligent data management with hybrid, open data lakehouse architecture.
Our platform combines unified data integration, multi-engine optimization, and comprehensive governance for enterprise-grade data solutions.

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Hybrid Data Lakehouse Architecture

Deploy a hybrid, open data lakehouse that runs anywhere—public cloud, private cloud, hybrid cloud, or on premises. Built with the best of open source, our platform unifies your data estate and extends your existing stack so you can avoid vendor lock-in and innovate with the best available technology. An integrated data fabric and data lakehouse architecture empowers you to unify, enrich, and deliver AI-ready data across data zones with integrated data access controls and governance.

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Hybrid Deployment

Run anywhere with consistent functionality across public cloud, private cloud, hybrid cloud, or on-premises environments. No vendor lock-in, maximum flexibility.

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Open Source Foundation

Built with the best of open source technologies including Apache Spark, Presto, and other industry-standard tools. Extend your existing stack seamlessly.

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Enterprise Data Governance & Security

Comprehensive data governance with enterprise-grade security, compliance, and access controls. Maintain end-to-end document lineage through all transformations and downstream derivatives. Ensure that data protections and user access restrictions are consistent throughout the data lifecycle. Trustworthy by design with built-in security features that protect your data while enabling authorized access.

  • End-to-End Lineage

    Track data lineage through all transformations and downstream derivatives. Understand where your data comes from and how it's been transformed.

  • Access Control & Security

    Consistent data protections and user access restrictions throughout the data lifecycle. Role-based access control, encryption, and audit trails ensure secure data access.

  • Compliance & Governance

    Comprehensive governance framework with policy enforcement, compliance monitoring, and regulatory alignment to ensure responsible data management in production environments.

Explore Solutions

Why Choose RankSaga

RankSaga Data Lakehouse vs. Competitors

Compare RankSaga Data Lakehouse with leading solutions.
See how our hybrid, open platform delivers superior data integration, multi-engine optimization, and comprehensive governance.

FeatureRankSaga Agentic AIAlternative SolutionOther Platform
Hybrid ArchitectureRun anywhere—public cloud, private cloud, hybrid cloud, or on premisesCloud-only or on-prem onlyLimited deployment options
Multi-Engine SupportOptimize workloads with Apache Spark, Presto, and other enginesSingle engine architectureLimited engine options
Gen AI Integration40% more accurate AI with unified structured and unstructured dataBasic AI integrationLimited gen AI capabilities
Data GovernanceEnd-to-end lineage, access controls, and compliance monitoringBasic governance featuresLimited governance capabilities
Cost OptimizationReduce data warehouse costs by up to 50% with workload optimizationFixed pricing tiersHigh infrastructure costs
Open Source CompatibilityBuilt with open source, avoid vendor lock-inProprietary technologyLimited extensibility
Unified Data IntegrationUnified control plane for structured and unstructured dataSeparate tools for different data typesComplex integration requirements
Conversational AnalyticsNatural language queries with no-code, low-code, and pro-code optionsSQL-only queriesLimited self-service capabilities

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FAQ

Frequently Asked Questions About Data Lakehouse

Get answers to common questions about RankSaga Data Lakehouse.
Learn about data lakehouse capabilities, deployment, governance, and more.

A data lakehouse combines the best features of data lakes and data warehouses. Like a data lake, it can store vast amounts of structured and unstructured data in its raw format. Like a data warehouse, it provides structured query capabilities, ACID transactions, and schema enforcement. RankSaga Data Lakehouse goes further by providing a hybrid, open architecture that runs anywhere, supports multiple query engines, and is optimized for both price and performance. This eliminates the need to maintain separate data lakes and warehouses, reducing complexity and costs.
RankSaga Data Lakehouse achieves 40% more accurate AI than conventional RAG (Retrieval-Augmented Generation) by unifying structured and unstructured data. Our advanced retrieval layer provides better context to AI models by combining data from multiple sources and formats. The unified data fabric ensures that gen AI applications have access to complete, contextualized data rather than fragmented information. This results in more accurate responses, better decision-making, and improved AI performance across your enterprise applications.
Multi-engine architecture allows you to pair individual workloads with fit-for-purpose query engines such as Apache Spark, Presto, and Presto C++. Different engines excel at different types of queries—some are optimized for analytical workloads, others for real-time queries, and some for cost efficiency. By routing workloads to the most appropriate engine, you can reduce data warehouse costs by up to 50% while maintaining optimal performance. The system automatically selects the right engine based on query characteristics, workload patterns, and cost considerations.
RankSaga Data Lakehouse includes comprehensive data governance features including end-to-end document lineage tracking through all transformations and downstream derivatives. The platform ensures that data protections and user access restrictions are consistent throughout the data lifecycle. Features include role-based access control, encryption at rest and in transit, audit trails for all data access and modifications, compliance monitoring, and policy enforcement. The governance framework supports regulatory requirements including GDPR, HIPAA, and other industry-specific standards.
Yes, RankSaga Data Lakehouse is designed for hybrid deployment. You can run it on public cloud (AWS, Azure, GCP), private cloud, hybrid cloud, or on-premises. The platform provides consistent functionality and governance across all deployment environments. This flexibility allows you to keep sensitive data on-premises while leveraging cloud resources for scalability, or to create a hybrid architecture that optimizes for both security and cost. There are no restrictions on where you deploy, and you can move workloads between environments as needed.
Conversational analytics allows you to query your data using natural language instead of writing SQL queries. Simply ask questions in plain English like 'What were our top-selling products last quarter?' or 'Show me customer churn trends by region.' The system understands context, interprets your questions, and generates insights from your unified data. This makes data accessible to business users who may not be familiar with SQL, while still supporting advanced users who prefer traditional query interfaces. The system can generate reports, create visualizations, and provide intelligent recommendations based on your queries.
RankSaga Data Lakehouse offers flexible enterprise pricing based on your deployment model, data volume, and usage patterns. Pricing factors include storage capacity, compute resources, query volume, and support level. We offer both usage-based pricing for variable workloads and fixed pricing tiers for predictable usage patterns. Enterprise customers can benefit from custom pricing agreements that include dedicated support, SLA guarantees, and volume discounts. The multi-engine architecture helps optimize costs by routing workloads to the most cost-effective engines. Contact our sales team for a customized quote based on your specific needs.
RankSaga Data Lakehouse is built with the best of open source technologies including Apache Spark, Presto, and other industry-standard tools. The platform uses open formats and standard APIs, allowing you to extend your existing stack and integrate with virtually any tool or platform. You're not locked into proprietary data formats or vendor-specific technologies. The hybrid architecture means you can deploy on any infrastructure, and the open source foundation ensures you can migrate data and workloads if needed. This gives you maximum flexibility and control over your data architecture.
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