DataStax, an IBM company, provides AI-ready data infrastructure for enterprises building production applications on real-time, unstructured, and multimodal data. Its portfolio combines Apache Cassandra-based databases, managed streaming, and visual AI development tooling so teams can build retrieval-augmented generation, agentic, and other latency-sensitive applications without relying on a single deployment model.
DataStax, an IBM company, serves cloud, hybrid, and on-premises environments through offerings that span Astra DB, Astra Streaming, DataStax Enterprise, Hyper-Converged Database (HCD), and Langflow. Mission Control and DataStax Luna extend that portfolio with operational management and expert support, positioning the company for organizations that need scalable data infrastructure, lower operational overhead, and governed AI application delivery.
Offerings, Capabilities, and Integrations
DataStax, an IBM company, focuses on the data layer and operational tooling required to move AI applications from prototype to production. Its capabilities cover vector and NoSQL data management, real-time event streaming, retrieval-augmented generation support, low-code AI workflow design, and centralized lifecycle management for self-managed database estates.
Its technology stack supports deployment across public cloud, hybrid, and private infrastructure, with APIs and tooling for both developers and platform operators. The company emphasizes open-source foundations, multi-cloud flexibility, observability, security controls, and integrations with major AI and cloud services such as Amazon Bedrock, Google Vertex AI, Microsoft Azure OpenAI, and IBM watsonx.
Products and Services
- Astra DB: A serverless cloud-native vector and NoSQL database built on Apache Cassandra for real-time and generative AI applications, with a Data API, multi-cloud deployment options, and built-in vector search.
- Astra Streaming: A fully managed data streaming and event stream processing service for real-time pipelines, pub/sub, queuing, change data capture, and AI applications that depend on fresh event data.
- DataStax Enterprise: A self-managed enterprise distribution of Apache Cassandra for large-scale, always-on applications, adding advanced security, operational tooling, search, analytics, and graph capabilities.
- Hyper-Converged Database (HCD): A self-managed, cloud-native database for on-premises and private cloud environments that combines Apache Cassandra with Data API access, vector search, and modern operations for AI and data workloads.
- Langflow: An open-source, low-code builder for creating, testing, and deploying agentic and retrieval-augmented generation applications across models, APIs, and data sources.
- Mission Control: A centralized operations platform for lifecycle management, automation, security, and observability across DataStax Enterprise, Hyper-Converged Database (HCD), and Apache Cassandra clusters.
- DataStax Luna: A support subscription offering that provides expert backing for open-source Apache Cassandra deployments and related operational needs.
- RAGStack: A curated open-source stack for building production-ready retrieval-augmented generation applications with Astra DB or Apache Cassandra as the vector store foundation.
Target Customers
DataStax, an IBM company, primarily targets enterprises that run high-volume, low-latency, always-on applications and now need the same operational rigor for AI workloads. Its buyers typically include application engineering teams, platform engineering teams, data architects, database administrators, and AI or machine learning teams that need to operationalize real-time and unstructured data.
The company is a fit for organizations modernizing Cassandra-based environments, adopting event-driven architectures, or building production RAG and agentic applications. Its customer profile is especially strong in data-intensive and regulated sectors such as financial services, healthcare and life sciences, telecommunications, retail and e-commerce, media, and other enterprises managing scale, uptime, and governance requirements across hybrid and multi-cloud environments.
Cloud Integrations and Marketplace
- AWS Marketplace: DataStax, an IBM company, offers Astra DB through AWS Marketplace and aligns it with AWS-based AI development, including Amazon Bedrock workflows for generative AI applications.
- Microsoft Azure Marketplace: DataStax, an IBM company, has marketplace presence on Microsoft Azure for Astra DB and related offerings, with Azure-aligned integrations that support services such as Azure OpenAI and broader Microsoft developer tooling.
- Google Cloud Marketplace: DataStax, an IBM company, offers Astra DB through Google Cloud Marketplace and supports Google Cloud integrations including Vertex AI, BigQuery, Dataflow, Cloud Functions, and customer-managed encryption capabilities.
Key People
- Chet Kapoor: Chairman & CEO
- Ed Anuff: Chief Product Officer
- Sam Ramji: Chief Strategy Officer
- Davor Bonaci: Chief Technology Officer
- Jason McClelland: Chief Marketing Officer
Key Facts
- Headquarters: Santa Clara, California, United States
- Employees: Approximately 600 employees
- Annual Revenue: Approximately $143.6M
- Parent Company: IBM
- Subsidiaries: None
- Publicly Listed: No; subsidiary of IBM (NYSE: IBM)
Analyst Recognitions
- Forrester: Leader in The Forrester Wave™: Vector Databases, Q3 2024.
