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OrientDB Features

What are the features of OrientDB?

Data Management

  • Data Model
  • Built - In Search
  • Query Language

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Filter for Features

Data Management

Data Model

Stores data as key-value pairs where key is a unique identifier.

Not enough data

Data Types

Supports multiple data types like lists, sets, hashes (similar to map), sorted sets etc.

Not enough data

Data Model

Stores and queries data as JSON-like documents.

Not enough data

Data Types

Supports multiple data types like lists, sets, hashes (similar to map), sorted sets etc.

Not enough data

Built - In Search

Allows users to index at ingest and query endlessly across data.

Not enough data

Event Triggers

Notifies specific events like document inserts, updates, replaces, deletes etc and responds in real-time.

Not enough data

Data Model

Based on 11 OrientDB reviews. Designed to store interconnected data consisting of nodes and edges.
86%
(Based on 11 reviews)

Data Types

Supports multiple data types like lists, sets, hashes (similar to map), sorted sets etc.

Not enough data

Built - In Search

As reported in 11 OrientDB reviews. Allows users to index at ingest and query endlessly across data.
82%
(Based on 11 reviews)

Event Triggers

Notifies specific events like document inserts, updates, replaces, deletes etc and responds in real-time.

Not enough data

Query Language

Powerful query language that allows users to access patterns like traversals, JOINs, search, geospatial etc. This feature was mentioned in 11 OrientDB reviews.
86%
(Based on 11 reviews)

Availability

Auto Sharding

Implements auto horizontal data partitioning that allows storing data on more than one node to scale out.

Not enough data

Auto Recovery

Restores a database to a correct (consistent) state in the event of a failure.

Not enough data

Data Replication

Copy data across multiple servers through master-slave, peer-to-peer replication architecture etc.

Not enough data

Auto Sharding

Implements auto horizontal data partitioning that allows storing data on more than one node to scale out.

Not enough data

Auto Recovery

Restores a database to a correct(consistent) state in the event of a failure.

Not enough data

Data Replication

Copy data across multiple servers through master-slave, peer-to-peer replication architecture etc.

Not enough data

Auto Sharding

Implements auto horizontal data partitioning that allows storing data on more than one node to scale out.

Not enough data

Auto Recovery

Restores a database to a correct(consistent) state in the event of a failure.

Not enough data

Performance

Integrated Cache

Stores frequently-used data in system memory quickly.

Not enough data

Security

Role-Based Authorization

Provides predefined system roles, privileges, and user-defined roles to users.

Not enough data

Authentication

Allows integration with external security mechanisms like Kerberos, LDAP authentication etc.

Not enough data

Audit Logs

Provides an audit log to track access and operations performed on databases for regulatory compliance.

Not enough data

Encryption

Provides encryption capability for all the data at rest using encryption keys.

Not enough data

Role-Based Authorization

Provides predefined system roles, privileges, and user-defined roles to users.

Not enough data

Authentication

Allows integration with external security mechanisms like Kerberos, LDAP authentication etc.

Not enough data

Audit Logs

Provides an audit log to track access and operations performed on databases for regulatory compliance.

Not enough data

Encryption

Provides encryption capability for all the data at rest using encryption keys.

Not enough data

Role-Based Authorization

Provides predefined system roles, privileges, and user-defined roles to users.

Not enough data

Authentication

Allows integration with external security mechanisms like Kerberos, LDAP authentication etc.

Not enough data

Audit Logs

Provides an audit log to track access and operations performed on databases for regulatory compliance.

Not enough data

Encryption

Provides encryption capability for all the data at rest using encryption keys.

Not enough data

Support

Multi-Model

Provides support to handle structured, semi-structured, and unstructured data with equal effect.

Not enough data

Operating Systems

Available on multiple operating systems like Linux, Windows, MacOS etc.

Not enough data

Multi-Model

Provides support to handle structured, semi-structured, and unstructured data with equal effect.

Not enough data

Operating Systems

Available on multiple operating systems like Linux, Windows, MacOS etc.

Not enough data

BI Connectors

Allows users to connect business intelligence tools to the database.

Not enough data

Multi-Model

Provides support to handle structured, semi-structured, and unstructured data with equal effect.

Not enough data

BI Connectors

Allows users to connect business intelligence tools to the database.

Not enough data

Operating Systems

Available on multiple operating systems like Linux, Windows, MacOS etc.

Not enough data

Performance

Query Optimization

Helps interpret SQL queries and determine the fastest method of execution

Not enough data

Query Optimization

Helps interpret SQL queries and determine the fastest method of execution

Not enough data