Aerospike Features

Database (3)

Integrations (2)

Platform (3)

Processing (2)

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.

Security (14)

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.
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.
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.
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.

Data Management (11)

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.
Data Model: Designed to store interconnected data consisting of nodes and edges.
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.
Query Language: Powerful query language that allows users to access patterns like traversals, JOINs, search, geospatial etc.

Availability (8)

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.
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.

Performance (1)

Support (8)

Multi-Model: Provides support to handle structured, semi-structured, and unstructured data with equal effect.
Operating Systems: Available on multiple operating systems like Linux, Windows, MacOS etc.
Multi-Model: Provides support to handle structured, semi-structured, and unstructured data with equal effect.
Operating Systems: Available on multiple operating systems like Linux, Windows, MacOS etc.
BI Connectors: Allows users to connect business intelligence tools to the database.
Multi-Model: Provides support to handle structured, semi-structured, and unstructured data with equal effect.
BI Connectors: Allows users to connect business intelligence tools to the database.
Operating Systems: Available on multiple operating systems like Linux, Windows, MacOS etc.

Performance (2)

Query latency (2)

Data latency (2)

Connectors (2)

Scale (2)

Architecture (2)

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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 changing data to a readable format. This G2 guide provides in-depth information about data manipulation, its types, benefits, and best practices.

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