VMware Tanzu Data Intelligence is an enterprise data platform that gives AI and application teams secure, low-latency access to diverse data on private cloud infrastructure. It combines data warehousing, data lakehouse, streaming, and machine learning capabilities in a single platform — from small-scale analytics to petabyte-scale AI workloads.
Best for
Enterprise innovation depends on data — but managing the exponential growth of data services while maintaining consistent operations, security, and governance is increasingly complex. AI workloads add new requirements for vector storage, model training, and low-latency access to diverse data types.
Unlock value from all your organization's data by making it accessible to app and AI teams while maintaining governance and safety.
One platform for model training, fine tuning, embeddings, and fast agentic feedback loops. Native vector querying for RAG workflows.
AI-ready data architecture for low-latency use cases from small to petabyte scale, built to grow alongside your compute infrastructure.
Enterprise-grade controls, lineage tracking, multi-platform compliance, audit trails, and governance across all data workflows.
Tanzu Data Intelligence provides a comprehensive set of data services — from warehousing and streaming to machine learning and vector search — all on private cloud infrastructure.
Combines speed and elasticity across structured and unstructured data formats. SQL query and Apache Spark access. Scalable HDFS storage for diverse data types at petabyte scale.
Scalable, event-driven data ingestion and workflow automation. Accelerates time-to-insight with reliable messaging and streaming capabilities for real-time data pipelines.
Access and analyze distributed data sources through federated query layers. Eliminates data duplication and enables unified insights from diverse formats without moving data.
Dynamically scale compute resources for AI, analytics, and operational tasks. Container-native services optimized for cost, performance, and flexibility.
Mission-critical applications with in-memory, streaming, caching, and transactional data services. Built for speed, scale, and always-on availability at enterprise scale.
In-database ML with Python and R. Built-in analytical libraries, extensibility for custom models, and AI service integration. Support for graph, geospatial, vector, and text analytics.
Organizations building generative AI, RAG, and agentic AI applications need a data platform that handles vector storage, model training, and low-latency data access — all on private infrastructure where sensitive data stays under organizational control.
Organizations needing to analyze large, diverse datasets across the enterprise — combining structured databases, unstructured data, and real-time streams into a unified analytics platform.
Tanzu Greenplum's massively parallel processing (MPP) architecture handles analytics at petabyte scale with SQL access, Apache Spark integration, and federated queries across distributed data sources.
Regulated industries need enterprise-grade data governance without sending data to public cloud providers. Tanzu Data Intelligence runs on private infrastructure with built-in compliance controls.
Evaluating how Tanzu Data Intelligence compares to public cloud data platforms and self-managed open-source data stacks for enterprise analytics and AI workloads.
Tanzu Data Intelligence is an enterprise data platform that provides AI and application teams with secure, low-latency access to diverse data sources on private cloud infrastructure.
It includes data warehousing (Tanzu Greenplum), data lakehouse capabilities, event-driven ingestion, federated queries, in-memory data services, and built-in machine learning — all in a single platform.
Tanzu Data Intelligence supports AI through multiple capabilities: native vector querying via pgvector for RAG and agentic AI applications, natural language to SQL conversion, in-database machine learning with Python and R, GPU acceleration for model training, and curated open-source data engines.
Tanzu Greenplum can serve as both the data warehouse and vector database for AI applications, eliminating the need for a separate vector database infrastructure.
Tanzu Greenplum is the core data warehousing engine within Tanzu Data Intelligence. It provides massively parallel processing (MPP) for petabyte-scale analytics, in-database ML, vector database capabilities via pgvector, and support for structured, semi-structured, and unstructured data.
It integrates Python and R directly into the database, enabling data scientists to train and fine-tune models without data transfers.
Tanzu Data Intelligence provides similar analytics and AI capabilities to cloud data platforms like Snowflake or Databricks, but runs on your private infrastructure. This keeps data under your organization's control, eliminates egress fees, and meets data sovereignty requirements.
For organizations with data residency requirements or large-scale data that would be expensive to store in public cloud, Tanzu Data Intelligence provides a cost-effective alternative with comparable functionality.
VirtualizationWorks helps organizations evaluate Tanzu Data Intelligence for AI and analytics workloads, plan data architecture, and understand licensing.
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