MarkLogic Features
What are the features of MarkLogic?
Data Management
- Data Model
- Data Types
- Built - In Search
- Event Triggers
Security
- Role-Based Authorization
- Authentication
- Audit Logs
- Encryption
Availability
- Auto Sharding
- Auto Recovery
- Data Replication
Performance
- Query Optimization
Support
- Multi-Model
- Operating Systems
- BI Connectors
MarkLogic Categories on G2
Filter for Features
Compatibility
Federated Search | Ability to search across different data sources, such as databases, intranets, and applications. | Not enough data | |
File Types | Offers search for a variety of file types. | Not enough data | |
Global Language Support | Ability to search in multiple languages without any additional work required. | Not enough data |
Search Queries
Typo Tolerance | Ability of search to handle typos. | Not enough data | |
Faceted Search | Allows the end user to filter and refine search results. | Not enough data | |
Synonyms | Ability to define synonyms for search terms. | Not enough data | |
Highlighting | Allows the user to see highlighted results to see which words or phrases match the search query. | Not enough data | |
Natural Language | Allows the user to search in a natural, intuitive manner. | Not enough data |
Functionality
Personalization | Gives the user targeted, personalized results based on their activity or preferences. | Not enough data | |
Search Analytics | Allows the user to understand how other users are using the search functionality through dashboards, KPIs, etc. | Not enough data | |
Integrations | Ability to plug the search capabilities into other applications or tools. | Not enough data |
Data Management
Data Integration | Consolidate data from various disparate sources in a single unified view | Not enough data | |
Data Discovery | Understand the state of data, applications, systems and services | Not enough data | |
Multi - Platform | Manage data across environments (on-premises cloud, hybrid, and multi-cloud) | Not enough data | |
Metadata | Provides metadata management and lineage capabilities | Not enough data | |
Data Model | Stores and queries data as JSON-like documents. This feature was mentioned in 19 MarkLogic reviews. | 83% (Based on 19 reviews) | |
Data Types | Supports multiple data types like lists, sets, hashes (similar to map), sorted sets etc. 20 reviewers of MarkLogic have provided feedback on this feature. | 88% (Based on 20 reviews) | |
Built - In Search | Based on 20 MarkLogic reviews. Allows users to index at ingest and query endlessly across data. | 86% (Based on 20 reviews) | |
Event Triggers | As reported in 17 MarkLogic reviews. Notifies specific events like document inserts, updates, replaces, deletes etc and responds in real-time. | 86% (Based on 17 reviews) |
Analytics
Data Analytics | Supports advanced analytics solutions for better business decision making | Not enough data |
Security
Compliance | Rules and regulations inherited from source systems or defined to secure sensitive data | Not enough data | |
Governance | Grant or restrict data access and control | Not enough data | |
Data Protection | Built - In Backup and Disaster Recovery | Not enough data | |
Role-Based Authorization | Provides predefined system roles, privileges, and user-defined roles to users. 18 reviewers of MarkLogic have provided feedback on this feature. | 85% (Based on 18 reviews) | |
Authentication | Allows integration with external security mechanisms like Kerberos, LDAP authentication etc. This feature was mentioned in 18 MarkLogic reviews. | 81% (Based on 18 reviews) | |
Audit Logs | As reported in 18 MarkLogic reviews. Provides an audit log to track access and operations performed on databases for regulatory compliance. | 81% (Based on 18 reviews) | |
Encryption | Based on 18 MarkLogic reviews. Provides encryption capability for all the data at rest using encryption keys. | 85% (Based on 18 reviews) |
Availability
Auto Sharding | Based on 17 MarkLogic reviews. Implements auto horizontal data partitioning that allows storing data on more than one node to scale out. | 83% (Based on 17 reviews) | |
Auto Recovery | Based on 18 MarkLogic reviews. Restores a database to a correct(consistent) state in the event of a failure. | 86% (Based on 18 reviews) | |
Data Replication | As reported in 18 MarkLogic reviews. Copy data across multiple servers through master-slave, peer-to-peer replication architecture etc. | 83% (Based on 18 reviews) |
Performance
Query Optimization | Based on 18 MarkLogic reviews. Helps interpret SQL queries and determine the fastest method of execution | 81% (Based on 18 reviews) |
Support
Multi-Model | As reported in 17 MarkLogic reviews. Provides support to handle structured, semi-structured, and unstructured data with equal effect. | 86% (Based on 17 reviews) | |
Operating Systems | As reported in 17 MarkLogic reviews. Available on multiple operating systems like Linux, Windows, MacOS etc. | 83% (Based on 17 reviews) | |
BI Connectors | Based on 17 MarkLogic reviews. Allows users to connect business intelligence tools to the database. | 86% (Based on 17 reviews) |
Agentic AI - Data Fabric
Autonomous Task Execution | Capability to perform complex tasks without constant human input | Not enough data | |
Multi-step Planning | Ability to break down and plan multi-step processes | Not enough data | |
Cross-system Integration | Works across multiple software systems or databases | Not enough data | |
Adaptive Learning | Improves performance based on feedback and experience | Not enough data | |
Decision Making | Makes informed choices based on available data and objectives | Not enough data |
Agentic AI - Enterprise Search Software
Autonomous Task Execution | Capability to perform complex tasks without constant human input | Not enough data | |
Multi-step Planning | Ability to break down and plan multi-step processes | Not enough data | |
Cross-system Integration | Works across multiple software systems or databases | Not enough data | |
Adaptive Learning | Improves performance based on feedback and experience | Not enough data | |
Natural Language Interaction | Engages in human-like conversation for task delegation | Not enough data | |
Proactive Assistance | Anticipates needs and offers suggestions without prompting | Not enough data | |
Decision Making | Makes informed choices based on available data and objectives | Not enough data |
