IBM Db2 Features
Database Features (7)
Storage
Based on 305 IBM Db2 reviews.
Availability
Based on 307 IBM Db2 reviews.
Stability
As reported in 307 IBM Db2 reviews.
Scalability
This feature was mentioned in 303 IBM Db2 reviews.
Security
Based on 302 IBM Db2 reviews.
Data Manipulation
This feature was mentioned in 303 IBM Db2 reviews.
Query Language
308 reviewers of IBM Db2 have provided feedback on this feature.
Configuration (5)
Application Performance
Based on 65 IBM Db2 reviews. Functions when integrated with multiple forms of external applications.
Orchestration
As reported in 60 IBM Db2 reviews. Allows admisistrators to manage and organize storage, networks, and datacenters.
Database Monitoring
As reported in 65 IBM Db2 reviews. Monitors performance and statistics related to memory, caches and connections.
Anomaly Detection
Alerts users when unauthorized parties or malware is detected allowing administrators to remedy the issue. This feature was mentioned in 61 IBM Db2 reviews.
Network Security
As reported in 62 IBM Db2 reviews. Secures data at rest and in transit from unauthorized access.
Database Administration (3)
Provisioning
As reported in 60 IBM Db2 reviews. Allows administrators to organize components of the database to maintain instance efficiency.
Governance
Based on 60 IBM Db2 reviews. Allows the creating and relinquishing of database access credentials.
Auditing
Based on 59 IBM Db2 reviews. Documents access and alterations of the database for analytics and reporting.
Availability (4)
Scalability
As reported in 62 IBM Db2 reviews. Expands functionality while maintaining balanced loads. Serves growing demand without reducing functionality.
Backup
Based on 62 IBM Db2 reviews. The abillity to restore files to its original loacation or alternative sources on-demand.
Archiving
As reported in 63 IBM Db2 reviews. Stores historical records of information for reverting or reference.
Indexing
As reported in 63 IBM Db2 reviews. Helps users navigate databases by labeling and organizing datasets.
Security (9)
Data Masking
As reported in 41 IBM Db2 reviews. Data masking provides an additional layer of access control that can be applied to tables and views.
Authentication And Single Sign-On
Verifies identity of database users. This feature was mentioned in 42 IBM Db2 reviews.
Data Anonymization
Allows users to gain statistically valid insights from their data while protecting the privacy of individuals. This feature was mentioned in 40 IBM Db2 reviews.
Database Locking
Prevents other users and applications from accessing data while it is being updated to avoid data loss or update. 60 reviewers of IBM Db2 have provided feedback on this feature.
Access Control
As reported in 60 IBM Db2 reviews. Allows permissions to be granted or revoked in the database, schema or table levels.
Encryption
Built-in native encryption with enterprise key management. This feature was mentioned in 58 IBM Db2 reviews.
Authentication
Provides multi-factor authentication with certificates. This feature was mentioned in 56 IBM Db2 reviews.
Data Governance
Based on 46 IBM Db2 reviews and verified by the G2 Product R&D team. Policies, procedures and standards to manage and access data.
Data Security
Based on 35 IBM Db2 reviews and verified by the G2 Product R&D team. Restricts data access at a cell level, mask or hide parts of cells, and encrypt data at rest and in motion
Data Management (8)
Data Replication
Helps in improving the availability of data. 45 reviewers of IBM Db2 have provided feedback on this feature.
Advanced Data Analytics
As reported in 44 IBM Db2 reviews. Uses machine learning algorithms to gain actionable insights.
Data Integration
Based on 52 IBM Db2 reviews and verified by the G2 Product R&D team. Consolidates, Cleanses and Normalizes data from multiple disparate sources.
Data Compression
Based on 48 IBM Db2 reviews and verified by the G2 Product R&D team. Helps save storage capacity and improves query performance.
Data Quality
Based on 49 IBM Db2 reviews and verified by the G2 Product R&D team. Eliminates data inconsistency and duplications ensuring data integrity.
Built-In Data Analytics
Based on 48 IBM Db2 reviews and verified by the G2 Product R&D team. SQL based analytics functions like Time series, pattern matching, geospatial analytics etc.
In-Database Machine Learning
Based on 34 IBM Db2 reviews and verified by the G2 Product R&D team. Provides built in capabilities like machine learning algorithms, data preparation functions, model evaluation and management etc.
Data Lake Analytics
Based on 34 IBM Db2 reviews and verified by the G2 Product R&D team. Allows data querying across data formats like parquet, ORC, JSON etc and analyze complex data types on HDFS
Integration (3)
AI/ ML Integration
Based on 43 IBM Db2 reviews and verified by the G2 Product R&D team. Integrates with data science workflows, Machine Learning and artificial intelligence (AI) capabilities.
BI Tool Integration
Based on 45 IBM Db2 reviews and verified by the G2 Product R&D team. Integrates with BI Tools to transform data into Actionable Insights.
Data lake Integration
Based on 42 IBM Db2 reviews and verified by the G2 Product R&D team. Provides speed in data processing and capturing unstructured, semi-structured and streaming data.
Deployment (2)
On-Premise
Based on 50 IBM Db2 reviews and verified by the G2 Product R&D team. Provides On-Premise deployment options.
Cloud
Based on 41 IBM Db2 reviews and verified by the G2 Product R&D team. Provides Cloud deployment options (private or public cloud, hybrid cloud).
Performance (6)
Scalability
Based on 51 IBM Db2 reviews and verified by the G2 Product R&D team. Manages huge volumes of data, upscale or downscale as per demand.
Disaster Recovery
Provides data recovery functionality to protect and restore data in a database. 60 reviewers of IBM Db2 have provided feedback on this feature.
Data Concurrency
Based on 58 IBM Db2 reviews. Allows multi-version concurrency control.
Workload Management
Handles workloads, from single machines to data warehouses or web services with many concurrent users. 56 reviewers of IBM Db2 have provided feedback on this feature.
Advanced Indexing
As reported in 57 IBM Db2 reviews. Allows users to quickly retrieve data through various types of indexing like B-tree, hash table etc.
Query Optimizer
Helps interpret SQL queries and determine the fastest method of execution. This feature was mentioned in 57 IBM Db2 reviews.
Support (4)
Text Search
Provides support for international character sets and full text search. This feature was mentioned in 57 IBM Db2 reviews.
Data Types
Based on 60 IBM Db2 reviews. Supports multiple data types like primitive, structured, document etc.
Languages
Based on 60 IBM Db2 reviews. Supports multiple procedural programming languages like PL/PGSQL, Perl, Python etc.
Operating Systems
Available on multiple operating systems like Linux, Windows, MacOS etc. This feature was mentioned in 61 IBM Db2 reviews.
Management (4)
Data Schema
As reported in 60 IBM Db2 reviews. Data is organized as a set of tables with columns and rows like a table structure.
Query Language
Based on 62 IBM Db2 reviews. Allows users to create, update and retrieve data in a database.
ACID - Complaint
Adheres to ACID (atomicity, consistency, isolation, durability), a set of database transaction properties. 52 reviewers of IBM Db2 have provided feedback on this feature.
Data Replication
Provides log-based or/and trigger-based replication. 55 reviewers of IBM Db2 have provided feedback on this feature.
Administration (3)
Error Alerts
Software is able to alert the user in case of any errors.
Service Automation
Utilizes data to proactively identify IT issues.
Workflow management
Creates new or streamlines existing data models to ensure business continuity.
Functionality (3)
Documentation management
Automatic creation and management of documents.
Platform support
The software supports a wide variety of data sources and data warehouses that require automation.
Template functionality
Supports a template system, making it easier to set up configuration parameters.
Automation (4)
Workflow Automation
Automates all parts of the Data Warehouse lifecycle - warehouse design, provision data sources.
Multi-platform support
Supports real-time data ingestions and updates in the cloud or on-premises.
Data Management
Software delivers insights into data in order to identify gaps, risk within the data warehouse.
Data Simplicity
Supports no-code/low code development patterns.
Generative AI (2)
AI Text Generation
Allows users to generate text based on a text prompt.
AI Text Summarization
Condenses long documents or text into a brief summary.
Agentic AI - Data Warehouse Automation (1)
Proactive Assistance
Anticipates needs and offers suggestions without prompting
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