watsonx.ai Studio

IBM watsonx.ai Studio provides the environment and tools for your team to collaboratively solve your business problems. You can choose the tools you need to analyze and visualize data, to cleanse and shape data, to experiment with prompting foundation models, to tune foundation models, or to create and train machine learning models.

The watsonx.ai Studio service was formerly known as the Watson Studio service.

watsonx.ai Runtime

IBM watsonx.ai Runtime provides the resources to run and deploy gen AI and machine learning solutions.

The watsonx.ai Runtime service was formerly known as the Watson Machine Learning service.

watsonx.governance

Watsonx.governance provides the tools to evaluate, govern, and monitor your AI solutions. Watsonx.governance supports external models that are developed in third-party providers, including Amazon Web Services or Microsoft Azure.

Cloud Object Storage

IBM Cloud Object Storage provides storage for projects, catalogs, and deployment spaces. You can also create connections to access data in an IBM Cloud Object Storage instance. When you create a project, catalog, or deployment space, you must choose an IBM Cloud Object Storage instance. You can use a single instance for all projects, catalogs, and deployment spaces, or you can use multiple instances. Each project, catalog, and deployment space has its own dedicated bucket. The bucket stores files for assets, such as uploaded data files or notebook files. The connection between the project, catalog, or deployment space and its storage bucket is implicit.

Analytics Engine

With IBM Analytics Engine, you can run Jupyter notebooks and jobs from tools in projects by selecting IBM Analytics Engine as your runtime environment. You are offered Hortonworks Data Platform on IBM Cloud. You get one VM per cluster compute node and your own local HDFS. You get Spark and the entire Hadoop ecosystem. You are given shell access and can also create notebooks. See IBM Cloud docs: Analytics Engine.

Governance console

Use the Governance console in IBM watsonx.governance to view and manage governance activities for AI solutions.

watsonx.data

IBM watsonx.data is an open lakehouse architecture that combines the elements of the data warehouse and data lake models. The best-in-class features and optimizations available on watsonx.data make it an optimal choice for next generation data analytics and automation.

Database services

The following services provide databases that you can connect to in a project:

Cloudant

IBM Cloudant is a fully managed JSON document database that offers independent serverless scaling of provisioned throughput capacity and storage. Cloudant is compatible with Apache CouchDB and accessible through a simple to use HTTPS API for web, mobile, and IoT applications. See IBM Cloud docs: Cloudant.

Databases for EDB

The Databases for EDB service provides the EDB Postgres Advanced Server database engine that optimizes the built-in features of PostgreSQL. EDB Postgres Advanced Server (formerly known as EnterpriseDB) is a PostgreSQL-based database engine optimized for performance, developer productivity, and compatibility with Oracle. Databases for EDB is a fully managed offering with 24x7 operations and support. Features include high availability, automated backup orchestration, and de-coupled scaling of storage, RAM, and vCPUs. See IBM Cloud docs: Databases for EDB.

Databases for Elasticsearch

Elasticsearch is an open source search and analytics engine based on the Apache Lucene library. It combines the power of a scalable full text search engine with the indexing strengths of a schema-free JSON document database. Elasticsearch is a powerful tool for rich data analysis of large volumes of data, catalogs, autocompletion, log analysis, monitoring, blockchain analysis and more. IBM Cloud Databases for Elasticsearch provide the benefits of high availability, automated backup orchestration, autoscaling, and de-coupled allocation of storage, RAM, and vCPUs. Databases for Elasticsearch pricing is based on underlying disk, RAM, and optional vCPU allocation, as well as backup storage usage. See IBM Cloud docs: Databases for Elasticsearch.

IBM Cloud Databases for MongoDB

MongoDB Enterprise Advanced is a cross-platform, document-oriented, NoSQL database. Rather than table-based relational database structure, it uses JSON-like documents with dynamic schemas, which makes it easier and faster to integrate data in certain types of applications. With MongoDB, you can create highly performant, highly available databases with automatic scaling in your cluster so that you can govern the data and use it for in-depth analysis. See IBM Cloud docs: IBM Cloud Databases for MongoDB.

IBM Cloud Databases for PostgreSQL

The Databases for PostgreSQL service provides the PostgreSQL database. PostgreSQL is an object-relational database management system (ORDBMS) with an emphasis on extensibility and on standards-compliance. See IBM Cloud docs: IBM Cloud Databases for PostgreSQL.

Db2 as a Service

IBM Db2 as a Service provides advanced data management and analytics capabilities for transactional workloads. Db2 has no processor, memory, or database size limits, which makes it ideal for any size workload. The Db2 service enables you to create these databases in your watsonx as a Service cluster so that you can govern the data and use it for more in-depth analysis. See IBM Cloud docs: Db2 as a Service.

Db2 Warehouse as a Service

IBM Db2 Warehouse as a Service is an analytics data warehouse that features in-memory data processing and in-database analytics. It is client-managed and optimized for fast and flexible deployment, with automated scaling that supports analytics workloads. Based on the number of worker nodes selected, watsonx as a Service automatically creates the appropriate data warehouse environment. For a single node, the warehouse uses symmetric multiprocessing (SMP) architecture for cost-efficiency. For two or more nodes, the warehouse is deployed using a massively parallel processing (MPP) architecture for high availability and improved performance. See IBM Cloud docs: Db2 Warehouse as a Service.