Tembo Features
What are the features of Tembo?
Database Features
- Storage
- Availability
- Stability
- Scalability
- Security
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Technology Glossary Features
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Tembo Categories on G2
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Database Features
Storage | As reported in 10 Tembo reviews. | 90% (Based on 10 reviews) | |
Availability | This feature was mentioned in 11 Tembo reviews. | 94% (Based on 11 reviews) | |
Stability | 11 reviewers of Tembo have provided feedback on this feature. | 95% (Based on 11 reviews) | |
Scalability | This feature was mentioned in 11 Tembo reviews. | 95% (Based on 11 reviews) | |
Security | 10 reviewers of Tembo have provided feedback on this feature. | 92% (Based on 10 reviews) | |
Data Manipulation | See feature definition | Not enough data | |
Query Language | Not enough data |
Configuration
Application Performance | Functions when integrated with multiple forms of external applications. | Not enough data | |
Orchestration | Allows admisistrators to manage and organize storage, networks, and datacenters. | Not enough data | |
Database Monitoring | Monitors performance and statistics related to memory, caches and connections. | Not enough data | |
Anomaly Detection | Alerts users when unauthorized parties or malware is detected allowing administrators to remedy the issue. | Not enough data | |
Network Security | Secures data at rest and in transit from unauthorized access. | Not enough data |
Database Administration
Provisioning | Allows administrators to organize components of the database to maintain instance efficiency. | Not enough data | |
Governance | Allows the creating and relinquishing of database access credentials. | Not enough data | |
Auditing | Documents access and alterations of the database for analytics and reporting. | Not enough data |
Availability
Scalability | Expands functionality while maintaining balanced loads. Serves growing demand without reducing functionality. | Not enough data | |
Backup | The abillity to restore files to its original loacation or alternative sources on-demand. | Not enough data | |
Archiving | Stores historical records of information for reverting or reference. | Not enough data | |
Indexing | Helps users navigate databases by labeling and organizing datasets. | Not enough data | |
Auto Sharding | Implements auto horizontal data partitioning that allows storing data on more than one node to scale out. | Not enough data | |
Auto Recovery | Restores a database to a correct(consistent) state in the event of a failure. | Not enough data | |
Data Replication | Copy data across multiple servers through master-slave, peer-to-peer replication architecture etc. | Not enough data | |
Auto Sharding | Implements auto horizontal data partitioning that allows storing data on more than one node to scale out. | Not enough data | |
Auto Recovery | Restores a database to a correct (consistent) state in the event of a failure. | Not enough data | |
Data Replication | Copy data across multiple servers through master-slave, peer-to-peer replication architecture etc. | Not enough data |
Functionality
Asynchronous Messaging | See feature definition | Allows sender and reciever to operate independently at separate times. | Not enough data |
Language Support | Supports programming languages such as Java, C, or Python. Support for front-end languages such as HTML, CSS, and JavaScript. | Not enough data | |
Cloud-based Messaging | Functions through a cloud-based messaging service without on-premise infrastructure. | Not enough data | |
Latency | Has minimal delay between input and feedback. | Not enough data |
Integration
Application Integration | Allows messages and data to integrate directly into applications using APIs. | Not enough data | |
Data Integration | Breadth of standard integrations to first, second, and third-party data providers. | Not enough data | |
Plugins and integrations | Allows for additional features and functionalities in the form of pre-packaged integrations and plug-ins. | Not enough data | |
AI/ ML Integration | Integrates with data science workflows, Machine Learning and artificial intelligence (AI) capabilities. | Not enough data | |
BI Tool Integration | Integrates with BI Tools to transform data into Actionable Insights. | Not enough data | |
Data lake Integration | Provides speed in data processing and capturing unstructured, semi-structured and streaming data. | Not enough data |
Management
Policies and Controls | Ability to control file/folder access by user or group, external sharing permissions, editing policies, device location restrictions, sharing by device, etc. | Not enough data | |
Security Monitoring | Detects anomalies in functionality, user accessibility, traffic flows, and tampering. | Not enough data | |
Activity Monitoring | Actively monitor status of work stations either on-premise or remote. | Not enough data |
Security
Data Masking | Data masking provides an additional layer of access control that can be applied to tables and views. | Not enough data | |
Authentication And Single Sign-On | Verifies identity of database users. | Not enough data | |
Data Anonymization | Allows users to gain statistically valid insights from their data while protecting the privacy of individuals. | Not enough data | |
Database Locking | Prevents other users and applications from accessing data while it is being updated to avoid data loss or update. | Not enough data | |
Access Control | Allows permissions to be granted or revoked in the database, schema or table levels. | Not enough data | |
Encryption | Built-in native encryption with enterprise key management. | Not enough data | |
Authentication | Provides multi-factor authentication with certificates. | Not enough data | |
Role-Based Authorization | Provides predefined system roles, privileges, and user-defined roles to users. | Not enough data | |
Authentication | Allows integration with external security mechanisms like Kerberos, LDAP authentication etc. | Not enough data | |
Audit Logs | Provides an audit log to track access and operations performed on databases for regulatory compliance. | Not enough data | |
Encryption | Provides encryption capability for all the data at rest using encryption keys. | Not enough data | |
Data Governance | Policies, procedures and standards to manage and access data. | Not enough data | |
Data Security | Restricts data access at a cell level, mask or hide parts of cells, and encrypt data at rest and in motion | Not enough data | |
Role-Based Authorization | Provides predefined system roles, privileges, and user-defined roles to users. | Not enough data | |
Authentication | Allows integration with external security mechanisms like Kerberos, LDAP authentication etc. | Not enough data | |
Audit Logs | Provides an audit log to track access and operations performed on databases for regulatory compliance. | Not enough data | |
Encryption | Provides encryption capability for all the data at rest using encryption keys. | Not enough data |
Data Management
Data Replication | Helps in improving the availability of data. | Not enough data | |
Advanced Data Analytics | Uses machine learning algorithms to gain actionable insights. | Not enough data | |
Data Integration | Consolidates, Cleanses and Normalizes data from multiple disparate sources. | Not enough data | |
Data Compression | Helps save storage capacity and improves query performance. | Not enough data | |
Data Quality | Eliminates data inconsistency and duplications ensuring data integrity. | Not enough data | |
Built-In Data Analytics | SQL based analytics functions like Time series, pattern matching, geospatial analytics etc. | Not enough data | |
In-Database Machine Learning | Provides built in capabilities like machine learning algorithms, data preparation functions, model evaluation and management etc. | Not enough data | |
Data Lake Analytics | Allows data querying across data formats like parquet, ORC, JSON etc and analyze complex data types on HDFS | Not enough data | |
Data Model | Stores and queries data as JSON-like documents. | Not enough data | |
Data Types | Supports multiple data types like lists, sets, hashes (similar to map), sorted sets etc. | Not enough data | |
Built - In Search | Allows users to index at ingest and query endlessly across data. | Not enough data | |
Event Triggers | Notifies specific events like document inserts, updates, replaces, deletes etc and responds in real-time. | Not enough data |
Deployment
On-Premise | Provides On-Premise deployment options. | Not enough data | |
Cloud | Provides Cloud deployment options (private or public cloud, hybrid cloud). | Not enough data |
Performance
Scalability | Manages huge volumes of data, upscale or downscale as per demand. | Not enough data | |
Disaster Recovery | Provides data recovery functionality to protect and restore data in a database. | Not enough data | |
Data Concurrency | Allows multi-version concurrency control. | Not enough data | |
Workload Management | Handles workloads, from single machines to data warehouses or web services with many concurrent users. | Not enough data | |
Advanced Indexing | Allows users to quickly retrieve data through various types of indexing like B-tree, hash table etc. | Not enough data | |
Query Optimizer | Helps interpret SQL queries and determine the fastest method of execution. | Not enough data |
Support
Text Search | Provides support for international character sets and full text search. | Not enough data | |
Data Types | Supports multiple data types like primitive, structured, document etc. | Not enough data | |
Languages | Supports multiple procedural programming languages like PL/PGSQL, Perl, Python etc. | Not enough data | |
Operating Systems | Available on multiple operating systems like Linux, Windows, MacOS etc. | Not enough data |
Management
Data Schema | Data is organized as a set of tables with columns and rows like a table structure. | Not enough data | |
Query Language | Allows users to create, update and retrieve data in a database. | Not enough data | |
ACID - Complaint | Adheres to ACID (atomicity, consistency, isolation, durability), a set of database transaction properties. | Not enough data | |
Data Replication | Provides log-based or/and trigger-based replication. | Not enough data |
Performance
Query Optimization | Helps interpret SQL queries and determine the fastest method of execution | Not enough data | |
Integrated Cache | Stores frequently-used data in system memory quickly. | Not enough data |
Support
Multi-Model | Provides support to handle structured, semi-structured, and unstructured data with equal effect. | Not enough data | |
Operating Systems | Available on multiple operating systems like Linux, Windows, MacOS etc. | Not enough data | |
BI Connectors | Allows users to connect business intelligence tools to the database. | Not enough data | |
Multi-Model | Provides support to store, index and query data in more than one format. | Not enough data | |
Operating Systems | Available on multiple operating systems like Linux, Windows, MacOS etc. | Not enough data |
Storage
Data Model | Stores data tables as columns. | Not enough data | |
Data Types | Supports multiple data types like lists, sets, hashes (similar to map), sorted sets etc. | Not enough data |
Data Indexing
Semantic Search | Allows semantic search service by organizing data. | Not enough data | |
Indexing Data | Allows indexing of data for search and retrieval. | Not enough data |
Filters
Accurate Search | The feature aids in filtering queries by metadata thus achieving accurate search. | Not enough data | |
Single Stage Filtering - Vector Database | This feature integrates vectors and metadata indexes into a single index. | Not enough data |
Generative AI
AI Text Generation | Allows users to generate text based on a text prompt. | Not enough data | |
AI Text Summarization | Condenses long documents or text into a brief summary. | Not enough data |
