DataStax Features
Configuration (4)
Application Performance
Based on 11 DataStax reviews. Functions when integrated with multiple forms of external applications.
Orchestration
As reported in 11 DataStax reviews. Allows admisistrators to manage and organize storage, networks, and datacenters.
Database Monitoring
Monitors performance and statistics related to memory, caches and connections. 11 reviewers of DataStax have provided feedback on this feature.
Network Security
Based on 11 DataStax reviews. Secures data at rest and in transit from unauthorized access.
Database Administration (3)
Provisioning
Based on 10 DataStax reviews. Allows administrators to organize components of the database to maintain instance efficiency.
Governance
Based on 11 DataStax reviews. Allows the creating and relinquishing of database access credentials.
Auditing
Documents access and alterations of the database for analytics and reporting. 11 reviewers of DataStax have provided feedback on this feature.
Availability (13)
Scalability
As reported in 11 DataStax reviews. Expands functionality while maintaining balanced loads. Serves growing demand without reducing functionality.
Indexing
Based on 11 DataStax reviews. Helps users navigate databases by labeling and organizing datasets.
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.
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.
Data (4)
Data Processing
The ability to process large amounts of data.
Data Sources
The ability to process data from a wide variety of sources and formats.
Integration
The ability to work seamlessly with another software platform.
Real-Time Processing
Processing data from a variety of sources in real time as it arrives.
Functionality (5)
Monitoring
Monitors database functionality to verify baselines are maintained or exceeded.
Alerting
Sends alerts via email, text, phone, and more when an incident or issue occcurs.
Logging
Captures logs for all database functions to garner greater information around issues or failures.
Response Time
Monitors database query time for unusual execution times
Reporting
Manually and/or automatically generates reports covering database performance
Management (2)
Real-Time Analytics
Track data and system backups, replication, and failover events.
Infrastructure Compatibility
Be compatible with a variety of cloud and/or virtual infrastructure.
Solution Provision (2)
System Failover
Provide as-before failover capabilities for cloud environments.
Pay by Usage
Services are offered under a pay-as-you-go or utilization-based purchase model.
Security (14)
Authentication And Single Sign-On
Verifies identity of database users.
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.
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.
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 (13)
Data Replication
Helps in improving the availability of data.
Advanced Data Analytics
Uses machine learning algorithms to gain actionable insights.
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.
Support (13)
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.
Multi-Model
Provides support to store, index and query data in more than one format.
Operating Systems
Available on multiple operating systems like Linux, Windows, MacOS etc.
Data Types Support
Supports various types of data like String, Boolean and integer
Different Operating Systems
Supports database on various operating systems
Multi model Database Support
Aids in supporting multiple models of database
Storage (3)
Data Model
Stores data tables as columns.
Data Types
Supports multiple data types like lists, sets, hashes (similar to map), sorted sets etc.
Data Storage Method
Functionality provided to store data in column families
Scalability (2)
Database Scalability
Stores data across multiple servers.
Auto Sharding
Feature that aids in data partitioning resulting into scaling of data
Data Indexing (2)
Semantic Search
Allows semantic search service by organizing data. This feature was mentioned in 19 DataStax reviews.
Indexing Data
Allows indexing of data for search and retrieval. 19 reviewers of DataStax have provided feedback on this feature.
Filters (2)
Accurate Search
As reported in 19 DataStax reviews. The feature aids in filtering queries by metadata thus achieving accurate search.
Single Stage Filtering - Vector Database
This feature integrates vectors and metadata indexes into a single index. This feature was mentioned in 19 DataStax reviews.
Agentic AI - Wide Column Database (1)
Decision Making
Makes informed choices based on available data and objectives
Agentic AI - Database Monitoring (7)
Autonomous Task Execution
Capability to perform complex tasks without constant human input
Multi-step Planning
Ability to break down and plan multi-step processes
Cross-system Integration
Works across multiple software systems or databases
Adaptive Learning
Improves performance based on feedback and experience
Natural Language Interaction
Engages in human-like conversation for task delegation
Proactive Assistance
Anticipates needs and offers suggestions without prompting
Decision Making
Makes informed choices based on available data and objectives
You’re seeing this ad based on the product’s relevance to this page. Sponsored content does not receive preferential treatment in any of G2’s ratings.
