Aerospike Features
Database (3)
Real-Time Data Collection
Collects, stores, and organizes massive, unstructured data in real time
Data Distribution
Facilitates the disseminating of collected big data throughout parallel computing clusters
Data Lake
Creates a repository to collect and store raw data from sensors, devices, machines, files, etc.
Integrations (2)
Hadoop Integration
Aligns processing and distribution workflows on top of Apache Hadoop
Spark Integration
Aligns processing and distribution workflows on top of Apache Hadoop
Platform (3)
Machine Scaling
Facilitates solution to run on and scale to a large number of machines and systems
Data Preparation
Curates collected data for big data analytics solutions to analyze, manipulate, and model
Spark Integration
Aligns processing and distribution workflows on top of Apache Hadoop
Processing (2)
Cloud Processing
Moves big data collection and processing to the cloud
Workload Processing
Processes batch, real-time, and streaming data workloads in singular, multi-tenant, or cloud systems
Maintenance (3)
Data Migration
Allows data movement from one database to another.
Backup and Recovery
Provides data backup and recovery functionality to protect and restore a database.
Multi-User Environment
Allows users to access and work on data concurrently, supporting several views of the data.
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)
Integrated Cache
Stores frequently-used data in system memory quickly.
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 Optimization
Helps interpret SQL queries and determine the fastest method of execution
Query Optimization
Helps interpret SQL queries and determine the fastest method of execution
Query latency (2)
Lower query latency
Aids in faster processing of query to obtain results.
Continuous queries
Enables faster queries and search engine-like workloads.
Data latency (2)
Lower data latency
Enables the user to track the time taken for data to be generated and available for processing
Data pipeline performance
Aids in monitoring and reporting data pipeline performance.
Connectors (2)
Faster ingestion
Manages in building pipelines between two protocols.
Built-in connectors
Allows continuous data ingestion directly from the data source.
Scale (2)
Linearly scalable database
Aids the database in scaling horizontally and vertically in petabytes.
Storage management
Helps store the data in fixed size segments called vectors for better management.
Architecture (2)
Data security
Enables ingesting data efficiently and securely.
Lockless architecture
Allows concurrent access to data without the use of any table locks.
Technology Glossary Features
View definitions of the features and discover new technology terms.
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.
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.
