Vector-enabled NoSQL data
Astra DB and HCD extend watsonx.data NoSQL capabilities with vector functionality for retrieval-augmented generation and knowledge embedding workflows.
IBM DataStax
Freemium
IBM DataStax brings Astra DB, Hyper-converged Database (HCD) and Langflow into the watsonx portfolio to help enterprises manage real-time, unstructured and multimodal data for AI applications. It supports AI workloads across on-premises, hybrid and multicloud environments.
什么是 IBM DataStax？
IBM DataStax combines DataStax technologies with IBM watsonx to help enterprises manage real-time, unstructured and multimodal data for AI applications. The offering includes Astra DB, Hyper-converged Database (HCD) and Langflow.
Astra DB and HCD add vector capabilities to the NoSQL functionality of watsonx.data, supporting retrieval-augmented generation and knowledge embedding workflows. Langflow provides a low-code environment for building retrieval-augmented generation and multi-agent applications. The technologies are positioned for deployment across on-premises, private-cloud, hybrid and multicloud environments, depending on the component and use case.
IBM DataStax 能做什么？
Astra DB on Apache Cassandra
Astra DB is built on Apache Cassandra and supports multiple data forms and operations, including tabular, search and graph data for AI applications.
On-premises and private-cloud database option
Hyper-converged Database is positioned for organizations that need to run database resources on-premises or in a private cloud.
Low-code AI application development
Langflow provides an open-source interface for prototyping, building and deploying retrieval-augmented generation and multi-agent applications.
Model, API and database flexibility
Built in Python, Langflow is designed to work across models, APIs and databases, allowing teams to compose application workflows from different components.
Enterprise data controls
The IBM product page describes built-in encryption, access controls and governance capabilities for securing and managing access to unstructured data.
使用场景
“Retrieval-augmented generation”
Teams can combine Langflow application orchestration with Astra DB or HCD vector capabilities to build AI experiences grounded in enterprise data.
“Multi-agent application prototyping”
Developers can use Langflow's low-code interface to prototype and deploy multi-agent applications before integrating them into broader enterprise workflows.
“Real-time customer and transaction experiences”
Organizations can use the watsonx.data and Astra DB combination for applications that depend on current operational data, such as personalization, payments, recommendations and order activity.
“IoT and supply-chain context”
Real-time ingestion and low-latency access can support fleet tracking, inventory visibility, shipment updates, device events and other operational signals.
“Governed AI data on private infrastructure”
Organizations with on-premises or private-cloud requirements can evaluate HCD alongside watsonx capabilities for keeping database resources in controlled environments.
常见问题
What is included in IBM DataStax?
The IBM product page identifies Astra DB, Hyper-converged Database (HCD) and Langflow as the main DataStax technologies being brought into the watsonx portfolio.
What is Astra DB used for?
Astra DB is a Cassandra-based NoSQL database with vector capabilities. IBM describes it as supporting tabular, search and graph data operations, as well as retrieval-augmented generation and other AI workloads.
What does Langflow do?
Langflow is an open-source, low-code tool for prototyping, building and deploying retrieval-augmented generation and multi-agent AI applications. It is built in Python and works across models, APIs and databases.
Can IBM DataStax be used on-premises?
The product positioning supports on-premises, hybrid and multicloud deployment. HCD is specifically described as an option for organizations running database resources on-premises or in a private cloud.
How is watsonx.data priced?
The related watsonx.data pricing page lists pay-per-use and subscription options, along with a free trial and purchase paths through IBM Cloud and AWS. The available evidence does not specify a separate price for every IBM DataStax component.
快速信息
- Provider
- IBM
- Product area
- Enterprise AI data and application infrastructure
- Core technologies
- Astra DB, Hyper-converged Database (HCD) and Langflow
- Primary workflows
- Vector-enabled data access, retrieval-augmented generation and multi-agent application development
- Deployment positioning
- On-premises, private cloud, hybrid and multicloud
- Related commercial options
- watsonx.data free trial, pay-per-use and subscription options are listed on the related pricing page
IBM DataStax 替代品
Powabase
powabase.ai
面向 AI 应用的后端平台，集成 Postgres、身份验证、存储、实时功能、检索和智能体
SurrealDB
surrealdb.com
SurrealDB 是面向 AI 智能体的多模型上下文层，将文档、图、向量、时序和关系数据整合到一个 ACID 事务中。
Vespa.ai
vespa.ai
Vespa is an AI search platform for building search, retrieval-augmented generation, recommendation, personalization, and agent applications over text, vectors, tensors, and structured data. It is designed for developer teams that need configurable ranking and distributed operation at production scale.
Sequel
sequel.sh
Sequel is an AI data analyst and secure data layer for agents. It connects databases, warehouses, analytics platforms, spreadsheets, and SaaS tools so Claude, Cursor, ChatGPT, and other MCP-capable agents can answer questions using shared data connections and definitions.
Supabase
supabase.com
Supabase is a Postgres development platform for building applications with a database, authentication, APIs, realtime features, serverless functions, storage, and vector support. It helps developers move from application code to a managed backend through a dashboard, client libraries, CLI, and generated APIs.
Upstash Vector
upstash.com
Upstash Vector is a serverless vector database for storing and querying embeddings and metadata in AI and machine-learning applications. It supports dense, sparse, and hybrid indexes through a REST API and SDKs for Python, TypeScript, Go, and PHP.