InterSystems IRIS Features

Database Features (7)

Data Management (10)

Data Integration: Consolidate data from various disparate sources in a single unified view
Data Discovery: Understand the state of data, applications, systems and services
Multi - Platform: Manage data across environments (on-premises cloud, hybrid, and multi-cloud)
Metadata: Provides metadata management and lineage capabilities
Data Model: Stores data as key-value pairs where key is a unique identifier.
Data Types: Supports multiple data types like lists, sets, hashes (similar to map), sorted sets etc.
Data Model: Stores and queries data as JSON-like documents.
Data Types: Supports multiple data types like lists, sets, hashes (similar to map), sorted sets etc.
Built - In Search: Allows users to index at ingest and query endlessly across data.
Event Triggers: Notifies specific events like document inserts, updates, replaces, deletes etc and responds in real-time.

Analytics (1)

Security (16)

Compliance: Rules and regulations inherited from source systems or defined to secure sensitive data
Governance: Grant or restrict data access and control
Data Protection: Built - In Backup and Disaster Recovery
Data Encryption: Encrypts and transforms data at the database from a readable state into a ciphertext of unreadable characters.
User Access Control: Allows restricted user acess to modify depending on the access level.
Database Locking: Prevents other users and applications from accessing data while it is being updated to avoid data loss or update.
Access Control: Allows permissions to be granted or revoked in the database, schema or table levels.
Encryption: Built-in native encryption with enterprise key management.
Authentication: Provides multi-factor authentication with certificates.
Role-Based Authorization: Provides predefined system roles, privileges, and user-defined roles to users.
Authentication: Allows integration with external security mechanisms like Kerberos, LDAP authentication etc.
Encryption: Provides encryption capability for all the data at rest using encryption keys.
Role-Based Authorization: Provides predefined system roles, privileges, and user-defined roles to users.
Authentication: Allows integration with external security mechanisms like Kerberos, LDAP authentication etc.
Audit Logs: Provides an audit log to track access and operations performed on databases for regulatory compliance.
Encryption: Provides encryption capability for all the data at rest using encryption keys.

Maintenance (3)

Management (5)

Data dictionary: Stores the database metadata, that is the definitions of data elements, types, relationships etc.
Data Replication: Creates a copy of the database to maintain consistency and integrity.
Query Language: Allows users to create, update and retrieve data in a database.
Data Modeling: Defines the logical design of the data before building the schemas.
Performance Analysis: Monitors and analyzes critical database attributes like query performance, user sessions, dead lock detail, system errors etc and visualize them on a custom dashboard.

Support (4)

Performance (6)

Disaster Recovery: Provides data recovery functionality to protect and restore data in a database.
Data Concurrency: Allows multi-version concurrency control.
Workload Management: Handles workloads, from single machines to data warehouses or web services with many concurrent users.
Advanced Indexing: Allows users to quickly retrieve data through various types of indexing like B-tree, hash table etc.
Query Optimizer: Helps interpret SQL queries and determine the fastest method of execution.
Integrated Cache: Stores frequently-used data in system memory quickly.

Management (4)

Availability (6)

Auto Sharding: Implements auto horizontal data partitioning that allows storing data on more than one node to scale out.
Auto Recovery: Restores a database to a correct (consistent) state in the event of a failure.
Data Replication: Copy data across multiple servers through master-slave, peer-to-peer replication architecture etc.
Auto Sharding: Implements auto horizontal data partitioning that allows storing data on more than one node to scale out.
Auto Recovery: Restores a database to a correct(consistent) state in the event of a failure.
Data Replication: Copy data across multiple servers through master-slave, peer-to-peer replication architecture etc.

Support (4)

Performance (1)

Generative AI (2)

Agentic AI - Data Fabric (5)

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Technology Glossary Features

View definitions of the features and discover new technology terms.

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Data Modeling

Data modeling is the process of creating visual representations of information systems to better communicate the connections between data points and structures. Learn more about data modeling in this G2 guide.

Data Manipulation

Data manipulation is the process of organizing, modifying, and transforming data to improve accuracy, usability, and analysis across systems and workflows.

InterSystems IRIS Comparisons