Natis

What Natis does

Natis is a Vietnam-headquartered data intelligence platform vendor founded in 2015 in Hanoi. It serves 5,000+ enterprise customers globally through the NATIS Data Platform — a unified lakehouse architecture spanning data lake, lakehouse, data fabric, data warehousing, governance, semantic layer, analytics, AI/ML, and GenAI workloads. The platform is built on Apache Spark 3.5, Delta Lake with ACID transactions, Unity Catalog, and MLflow, organized around a native Medallion (Raw/Silver/Gold) architecture with multi-zone deployment options across cloud, on-premises, private cloud, Kubernetes, and hybrid. Its customer base is organized into six primary verticals: Financial Services (with sub-verticals including retail/investment banking, AML, insurance, and asset management), Healthcare and Life Sciences, Retail and E-commerce, Telecommunications, Government and Public Sector, and Logistics.

The company monetizes through a hybrid revenue model: quote-based platform subscriptions, usage-based DBU (Databricks Unit) compute consumption, tiered enterprise support plans (Professional from $2,500/year, Enterprise on a contact basis), professional services, paid certification exams ($150-$250 per professional-level exam), and partner program fees with margin rebates up to 15%. Go-to-market combines direct enterprise field sales (book-a-demo funnel with 30-minute personalized demo and free 14-day trial), a 500+ partner network across 80+ countries (including Accenture at Elite tier, Deloitte, PwC, TCS, KPMG, AM BITS), cloud marketplace listings on AWS, Azure, and GCP enabling deployment in under 10 minutes, and a self-serve sign-up motion for bottom-up adoption. The company has grown a substantial ecosystem flywheel with 42,000+ community members, 23,500+ academy learners, 18,000+ certified professionals, and 3,200+ joint customers via partners, supported by enterprise compliance credentials (SOC 2 Type II, HIPAA, PCI-DSS, ISO 27001, FedRAMP High). A Series B funding round was raised in 2019 to accelerate regional expansion; the company remains private and founder-controlled.

Name

Natis

Legal name

Natis Viet Nam Joint Stock Company

Website

https://natis.vn

Company type

Private

Founded year

2015

Operating status

Operating

Headcount range

51–100 employees

Short description

Natis is a Vietnam-headquartered vendor of the NATIS Data Platform, a unified lakehouse, data fabric, and AI/ML platform serving 5,000+ enterprise customers across financial services, healthcare, retail, telecom, government, and logistics globally.

Ownership category

akta.pro rank

Product category

Cloud Data Platform (Lakehouse & AI)

NAICS

Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services (5182)

SIC

Services-Computer Programming, Data Processing, Etc. (7370)

akta.pro primary industry

Lakehouse Platforms (HDAEABAB)

akta.pro secondary industries

Cloud Data Warehouses (HDAEABAA), Data Lake Platforms (HDAEABAC), Data Warehouse/Lakehouse Performance Optimization & Cost Management (HDAEABAL), Data & Analytics Platforms (Data Warehousing, Lakes, Streaming) (HDABAAAF)

Keywords

• Data lakehouse platform
• Cloud data platform
• Machine learning operations
• Data governance software
• Enterprise analytics platform

Headquarters

HQ city

Hanoi

HQ country

Vietnam

HQ region

Asia

Offices7 records

Markets served

GTM type

B2B

Offering type

Software

Cost components

Technology or R&D, Personnel, Marketing or Sales, Infrastructure, Operations

Revenue model

1. Platform Subscriptions: Recurring NATIS Data Platform subscriptions across cloud, on-premises, private cloud, Kubernetes-based, or hybrid deployments. Subscription tiers and pricing are quote-based (not publicly disclosed on pricing page beyond a Platform Pricing link and Cost Calculator).
2. Enterprise & Professional Support Plans: Tiered support plans: Standard Support included with all subscriptions (2 business day SLA); Professional Support from $2,500/year (4-hour response SLA, phone, dedicated CSM); Enterprise Support contact-for-pricing (24/7, 1-hour critical SLA, named engineer, proactive health checks).
3. Professional Services: Advisory, implementation, and training services including Solution Architecture Review, Managed Onboarding (30-day deployment), and Custom Training Workshop delivered remotely or on-site.
4. Certification Exam Fees: Paid certifications with pricing tiers: NDS-P (NATIS Data Science Professional) at $150, NPA-E (NATIS Platform Architect Expert) at $250, and NDE-P (NATIS Data Engineer Professional) with pricing TBD; associate-level certifications are free.
5. Partner Program Fees & Margin Rebates: Multi-tier partner program with Select tier fees from $5K/yr, Premier and Elite tiers by invitation; margin rebates up to 15% on co-sell deals and MDF eligibility.
6. Usage-Based Compute (DBU) Billing: Compute consumption billed in Databricks Units (DBU) per cluster node type, runtime type, and workload type (all-purpose vs jobs); SQL Warehouses billed per query with sizes from X-Small (2 DBU) to 4X-Large (128 DBU).

Pricing tiers

Go-to-market motion5 records

Distribution channels6 records

Marketing channels10 records

Core offering

NATIS sells a unified Data Intelligence Platform built on a lakehouse architecture that combines data lake scale with warehouse-grade governance. The platform consolidates ingestion (batch, streaming, CDC), transformation, governance (Unity Catalog), analytics, and AI/ML workloads on a single ecosystem, with multi-cloud deployment on AWS, Azure, and GCP. It is sold via enterprise subscriptions with usage-based DBU compute billing, supplemented by tiered support plans, professional services, and a paid certification program.

Product overview

NATIS Data Platform is a unified single-platform lakehouse offering — branded as the Next-Generation AI-Ready Data Platform — that consolidates ingestion, transformation, governance, analytics, AI/ML, and GenAI workloads into one governed ecosystem. The offering is a single platform-plus-modules architecture: the core NATIS Data Platform umbrella encompasses interconnected modules including Data Lake, Lakehouse, Data Fabric, Data Sharing, Data Warehousing, Semantic Layer, Graph & Relationship Analytics, Governance & Catalog, Workloads, DataOps & DevSecOps, Security & Compliance, Application Development, and the Data Science Workspace. AI/ML capabilities are delivered through the NATIS ML Workspace with its NATIS Feature Store, NATIS Model Serving, MLflow integration, and NATIS AutoML. Data engineering is supported by NATIS Workflow Orchestrator (NWO) and the Data Engineering Pipelines module with CDC, streaming, and batch ingestion. Analytics is delivered through the NATIS SQL Engine, Dashboard Builder, and Report Center. Governance is powered by Unity Catalog, the Data Catalog, Data Governance, Data Observability, and AI-Model Management modules. Surrounding the platform are the NATIS Academy learning platform, NATIS Certification Programs, and NATIS Community, which together provide onboarding, training, and partner enablement.

Differentiator

Problem solved

Functional benefit

Brands

• NATIS Data Platform: The company's primary product brand — a unified lakehouse, data fabric, analytics & AI platform.
• NATIS Data Platform (NDP)

Products and services

• NATIS Data Platform Unified end-to-end lakehouse, data fabric, analytics, and AI platform that lets enterprises collect, process, govern, and analyze data on a single scalable platform supporting BI, analytics, and AI/ML use cases across cloud, on-premises, and hybrid deployments.
• NATIS Feature Store Centralized repository for ML features enabling reuse across models with consistency between training and serving, supporting online (<10ms via Redis or DynamoDB) and offline (Delta Lake) serving modes.
• NATIS Model Serving Deploys registered MLflow models as production REST endpoints with auto-scaling, A/B testing, traffic splitting, and built-in monitoring; supports CPU and GPU (NVIDIA T4) configurations and delivers sub-50ms p95 inference latency.
• NATIS ML Workspace Fully managed ML environment integrating Jupyter-compatible notebooks, MLflow 2.x experiment tracking, NATIS Feature Store, Model Registry, NATIS Model Server, and NATIS AutoML Engine; pre-installed with scikit-learn, XGBoost, LightGBM, CatBoost, TensorFlow, PyTorch, Hugging Face, MLlib, Prophet, and statsmodels.
• NATIS SQL Engine ANSI SQL-compliant engine with extensions for Delta Lake operations, time-travel queries, and ML inference; supports 700+ built-in functions and is compatible with HiveQL, SparkSQL, and standard ANSI SQL syntax.
• Dashboard Builder Drag-and-drop visual dashboard creation with 20+ chart types including bar, line, pie, scatter, heatmap, geographic maps, funnels, and KPI tiles; supports parameters, filters, and auto-refresh.
• Report Center Scheduled PDF, Excel, and CSV reports with parameter support for business users and managers.
• NATIS Workflow Orchestrator (NWO) Built-in DAG-based pipeline orchestration engine compatible with Apache Airflow 2.x operators; supports cron, preset, event-based, and dependency-chain triggers with YAML pipeline definitions and a visual Pipeline Editor.
• Unity Catalog Unified governance layer providing a three-level namespace (Catalog to Schema to Table/View), fine-grained column-level access control, data lineage, centralized auditing, and row-level security via row filters, managed through SQL GRANT/REVOKE or the Admin UI.
• NATIS Academy Structured role-based learning platform with 62+ courses across Data Engineer, Data Analyst, Data Scientist, and Data Leader tracks; 23,500+ enrolled learners, 4.8 average rating, free access, includes hands-on labs and certification prep.
• NATIS Certification Programs Industry-recognized certifications including NDE-A (Associate, free), NDA-A (Associate, free), NDS-P (Professional, $150), NDE-P (Professional, 2026 launch, pricing TBD), and NPA-E (Expert, $250); 18,000+ certified professionals worldwide.
• Managed Lakehouse on Azure Marketplace Managed NATIS Lakehouse offering listed on Azure Marketplace enabling under-10-minute deployment of production-ready environments with Azure-native billing, IAM integration, and Private Link support for secure deployments.

Quantifiable outcome

• < 50ms p95 inference latency
• +12 more outcomes

Segments8 records

Ideal customer profiles6 records

Technology focussed Yes

API detail

Has API

Yes

API docs

API detail

Core technology

AI maturity

App detail

Integration40 records

AI capability24 records

Feature14 records

Partnerships

39 partnerships are on record, tiered flagship / premier, premier, flagship / elite, core, flagship, regional and minor.

• Amazon Web Services (AWS)flagship / premierStrategic or Co-development PartnerPremier cloud partner; NATIS available on AWS Marketplace with native integration across S3, Glue, SageMaker, Redshift, Kinesis, AWS Lake Formation; AWS PrivateLink for secure deployments; graviton-optimized EC2; joint co-sell team active in 30+ countries; 800+ joint enterprise customers. Named 2026 NATIS Cloud Partner of the Year.
• Microsoft AzurepremierStrategic or Co-development PartnerDeep integration with Microsoft data and AI stack including Fabric, Synapse, Power BI, Azure AI, ADLS Gen2; available on Azure Marketplace with PAYG and annual billing; Azure Private Link and VNet peering support; Microsoft Entra ID SSO and RBAC; Azure Government cloud support (FedRAMP High); managed Lakehouse offering launched on Azure Marketplace December 2025.
• Google Cloud Platform (GCP)premierStrategic or Co-development PartnerNative integration with BigQuery, Vertex AI, Dataplex, and Pub/Sub; Google Cloud Storage as primary object store; VPC Service Controls; Gemini AI integration through Vertex AI; Looker integration for governed BI; Google Cloud Marketplace Build Partner; co-sell in 20+ markets.
• Fivetranflagship / eliteTechnology or IntegrationElite technology partner; 500+ automated connectors and low-maintenance ELT pipelines directly into NATIS. NATIS and Fivetran launched a native connector ecosystem in January 2026 enabling ingestion from 500+ sources with automated schema detection. Named 2026 NATIS Technology Partner of the Year.
• AirbytecoreTechnology or IntegrationSelect partner; open-source ELT with extensive connectors, flexible self-hosted or cloud deployment into NATIS.
• InformaticacoreTechnology or IntegrationSelect partner; enterprise data management for complex environments including data quality and integration with NATIS.
• MuleSoftcoreTechnology or IntegrationSelect partner; API-led connectivity for hybrid and multi-cloud NATIS integrations.
• dbt LabsflagshipTechnology or IntegrationTechnology partner with native dbt-natis adapter. In November 2025, dbt Labs and NATIS deepened technical integration so dbt models can register automatically in NATIS Data Catalog with lineage and governance, with semantic layer sync. Named 2026 NATIS Innovation Partner of the Year.
• Apache SparkcoreTechnology or IntegrationCore Platform partner; native compute engine for large-scale processing, ML, and streaming workloads on NATIS (Apache Spark 3.5).
• DatabendcoreTechnology or IntegrationCloud-native data warehouse with open-format compatibility for NATIS ecosystems.
• TableauflagshipTechnology or IntegrationDirect connection to NATIS Semantic Layer for governed self-service analytics.
• Microsoft Power BIflagshipTechnology or IntegrationDirectQuery to NATIS lakehouse for real-time dashboards and enterprise reporting.
• LookerflagshipTechnology or IntegrationNative NATIS connector with LookML modeling support for governed analytics.
• Apache SupersetcoreTechnology or IntegrationOpen-source data exploration and visualization platform optimized for NATIS.
• MLflowflagshipTechnology or IntegrationNative MLOps platform for tracking, model registry, and deployment on NATIS.
• AWS SageMakerflagshipTechnology or IntegrationManaged ML on AWS with native NATIS data access for feature engineering.
• Azure MLflagshipTechnology or IntegrationEnterprise ML workflows on Azure with direct NATIS integration.
• Vertex AIflagshipTechnology or IntegrationGoogle AI platform integrated with NATIS for production ML pipelines.
• CollibracoreTechnology or IntegrationEnterprise data governance, catalog, and stewardship integrated with NATIS.
• AlationcoreTechnology or IntegrationData intelligence platform with active metadata and NATIS support.
• Monte CarlocoreTechnology or IntegrationData observability for detecting data quality issues integrated with NATIS.
• GitHub ActionscoreTechnology or IntegrationCI/CD automation for NATIS notebooks, jobs, and infrastructure workflows.
• TerraformcoreTechnology or IntegrationInfrastructure-as-code for NATIS provisioning, clusters, and IAM; official NATIS Terraform Provider available.
• AtlancoreTechnology or IntegrationModern data workspace combining catalog, lineage, and DataOps for NATIS teams.
• Apache KafkaflagshipTechnology or IntegrationCore Integration partner; industry-standard streaming platform with direct NATIS topic ingestion.
• ConfluentflagshipTechnology or IntegrationManaged Kafka with NATIS Connector Hub for governed real-time ingestion.
• AWS KinesiscoreTechnology or IntegrationReal-time stream ingestion from AWS services into NATIS lakehouse.
• RetoolcoreTechnology or IntegrationBuild internal data applications and admin tools connected to NATIS.
• StreamlitcoreTechnology or IntegrationNative Python app framework for data science and ML-powered applications on NATIS data.
• Sigma ComputingcoreTechnology or IntegrationSpreadsheet-style analytics on live NATIS data with minimal SQL.
• Accentureflagship / eliteImplementation/ SI/ Consulting PartnerGlobal management consulting and technology services leader; achieved NATIS Elite Partner status in February 2026 with 350+ NATIS-certified consultants, 40+ enterprise NATIS deployments delivered, Joint Center of Excellence in Singapore. Named 2026 NATIS SI Partner of the Year.
• DeloitteflagshipImplementation/ SI/ Consulting PartnerBig Four consulting firm with deep NATIS implementation and analytics capabilities; in October 2025 launched a joint Data Intelligence practice with NATIS combining domain expertise, focused on FS, Healthcare, and Government, with first cohort of 100 engineers certified.
• Tata Consultancy Services (TCS)flagshipImplementation/ SI/ Consulting PartnerGlobal IT services firm with a dedicated NATIS Center of Excellence and managed services (India-based).
• PwCflagshipImplementation/ SI/ Consulting PartnerCombines NATIS with industry expertise for trusted analytics, governance, and regulatory intelligence; capabilities include regulatory compliance and financial modeling.
• AM BITSregionalImplementation/ SI/ Consulting PartnerVietnam enterprise integrator focused on NATIS lakehouse architecture and ETL modernization; services include lakehouse migration and ETL modernization. Named 2026 NATIS Regional Partner of the Year — APAC.
• Softline GroupregionalChannel Partner/ Reseller/ DistributorLarge IT distributor bringing NATIS to mid-market and enterprise customers across regions (Russia-based); services include reselling, licensing, and support.
• KPMGflagshipImplementation/ SI/ Consulting PartnerFeatured consulting partner in NATIS ecosystem for transformation and governance engagements.
• Apache AirflowcoreTechnology or IntegrationOfficial NATIS Airflow Provider for scheduling NATIS jobs, notebooks, and DLT pipelines from DAGs; workflow orchestrator (NWO) is compatible with Apache Airflow 2.x operators.
• OnehouseminorOthersOnehouse is referenced in the NATIS careers apply form (HR Business Partner role) as a referral/talent source ("How do you know about Onehouse?"), suggesting a recruiting or related talent pipeline connection.

Scale indicators11 records

Recent moves7 records

Expansion highlights6 records

Broad incumbents

• Teradata: Established enterprise data warehousing and analytics platform serving regulated industries (financial services, healthcare, government) — comparable target customer base and use cases to NATIS, though primarily on-premises/hybrid rather than cloud-native.
• Google Cloud BigQuery: Hyperscaler-native cloud data warehouse with integrated ML (Vertex AI), governance (Dataplex), and BI (Looker) — overlapping with NATIS's data warehousing, governance, and AI/ML modules as part of a broader cloud platform offering.
• Microsoft Fabric: Microsoft's unified data platform combining Synapse data warehousing, Power BI, OneLake storage, and AI integration — overlapping broadly with NATIS's lakehouse, semantic layer, and BI connector capabilities as part of the wider Microsoft ecosystem.
• Amazon Web Services (Lake Formation, Redshift, Glue): Hyperscaler suite of data warehousing (Redshift), lakehouse/governance (Lake Formation), and ETL (Glue) services that overlap with NATIS platform modules. NATIS runs natively on AWS as Advanced Technology Partner, making AWS both a partner and a competitor.
• IBM watsonx.data: IBM's hybrid lakehouse platform with integrated governance and AI capabilities, targeting large enterprises in regulated industries — overlapping with NATIS's hybrid deployment model and regulated-vertical solutions.

Direct peers

• Cloudera: Open-source-based hybrid data platform offering lakehouse capabilities, governance, and multi-cloud deployment with strong enterprise presence in regulated industries — directly comparable to NATIS's hybrid deployment model across cloud, on-prem, and Kubernetes.
• Snowflake: Cloud data platform that has expanded from pure data warehousing into lakehouse, data sharing, and AI/ML workloads with similar native support for unstructured data, ML functions, and governed data exchange. Directly comparable to NATIS's data warehousing, semantic layer, and data sharing modules.
• Databricks: Pioneer of the lakehouse architecture built on Delta Lake, Apache Spark, Unity Catalog, and MLflow — the same open-source components that NATIS Data Platform is constructed on. Databricks is the closest functional and architectural peer, serving the same data engineering, ML, and governance workloads for global enterprises.

Emerging players

• Palantir: Data and AI platform with strong verticalized solutions in government, healthcare, and financial services — comparable to NATIS's vertical strategy (FS, healthcare, government, telecom) and emphasis on operationalizing AI on governed enterprise data.
• Starburst: Open-source Trino-based lakehouse platform focused on federated querying across data lakes and warehouses — comparable to NATIS's data fabric and lakehouse capabilities, particularly for multi-cloud federation without data movement.

Market position

Strengths5 records

Weaknesses5 records

Competitive moat6 records

Key risks6 records

Key highlights6 records

Customer concentration

• LinkedInlinkedin.com/company/natisvn

Compliance9 records

Revenue estimate

Valuation estimate

Number of profiles

Profiles3 records

Funding overview

Funding rounds

Investors

Funding detail is available on the Subscription and Enterprise plan.Contact sales →

M&A

Investments

M&A and investment is available on the Subscription and Enterprise plan.Contact sales →

Frequently asked questions about Natis