[ Tiger Data Reviews ](https://www.g2.com/products/tiger-data/reviews) [ Tiger Data Reviews ](https://www.g2.com/products/tiger-data/reviews) # Tiger Data Features ##### ## Database Features (7) Storage Availability Stability Scalability Security Data Manipulation Query Language Show More ##### ## Development (5) Application Deployment Provides tools for building, deploying, or integrating source code into hosted application. Development Tools Provides tools for writing code, editing code, syntax, debugging, or utilizing frameworks. Development Environment Provides tools for sharing code, tracking progress, and shipping software. Language Support Supports programming languages such as Java, C, or Python. Support for front-end languages such as HTML, CSS, and JavaScript. Testing Tests the functionality of a software application. Detects and diagnoses issues in application. Show More ##### ## Database (5) Database Management Lets developers manage database services. Provides support for different types of databases and integration methods. Analytics Lets users analyze deployment, user, storage, and business metrics. Auto Scaling Provides tools or bots that scale services and data automatically or on demand. Backup / Recovery Stores versions of application and data or incrementally backs up data. Storage Provides scalable cloud storage for different forms of data. Store analytics and records for reporting. Show More ##### ## Infrastructure (3) Networking Allows users to provision networks, deliver content, balance loads, and manage traffic. Virtual Machines Provides virtual networks and operating systems. Security Secures applications, encrypt data, and manage identities. Show More ##### ## Configuration (5) Application Performance Functions when integrated with multiple forms of external applications. Orchestration Allows admisistrators to manage and organize storage, networks, and datacenters. Database Monitoring 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. Network Security Secures data at rest and in transit from unauthorized access. Show More ##### ## Database Administration (3) Provisioning Allows administrators to organize components of the database to maintain instance efficiency. Governance Allows the creating and relinquishing of database access credentials. Auditing Documents access and alterations of the database for analytics and reporting. Show More ##### ## Availability (7) Scalability Expands functionality while maintaining balanced loads. Serves growing demand without reducing functionality. Backup The abillity to restore files to its original loacation or alternative sources on-demand. Archiving Stores historical records of information for reverting or reference. Indexing 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. Show More ##### ## Security (13) Data Masking 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. Data Anonymization Allows users to gain statistically valid insights from their data while protecting the privacy of individuals. 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. Database Locking Prevents other users and applications from accessing data while it is being updated to avoid data loss or update. Access Control Allows permissions to be granted or revoked in the database, schema or table levels. Encryption Built-in native encryption with enterprise key management. Authentication Provides multi-factor authentication with certificates. 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. Show More ##### ## Data Management (2) Data Replication Helps in improving the availability of data. Advanced Data Analytics Uses machine learning algorithms to gain actionable insights. Show More ##### ## 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. Show More ##### ## 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. Show More ##### ## Support (4) Text Search Provides support for international character sets and full text search. Data Types Supports multiple data types like primitive, structured, document etc. Languages Supports multiple procedural programming languages like PL/PGSQL, Perl, Python etc. Operating Systems Available on multiple operating systems like Linux, Windows, MacOS etc. Show More ##### ## Performance (5) Disaster Recovery Provides data recovery functionality to protect and restore data in a database. Data Concurrency Allows multi-version concurrency control. Workload Management Handles workloads, from single machines to data warehouses or web services with many concurrent users. Advanced Indexing 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. Show More ##### ## Management (4) Data Schema Data is organized as a set of tables with columns and rows like a table structure. Query Language 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. Data Replication Provides log-based or/and trigger-based replication. Show More ##### ## Storage (2) Data Model Stores data tables as columns. Data Types Supports multiple data types like lists, sets, hashes (similar to map), sorted sets etc. Show More ##### ## Performance (1) Integrated Cache Stores frequently-used data in system memory quickly. Show More ##### ## Support (2) 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. Show More ##### ## Data Indexing (2) Semantic Search Allows semantic search service by organizing data. Indexing Data Allows indexing of data for search and retrieval. Show More ##### ## Filters (2) Accurate Search 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. Show More ##### ## 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. Show More ##### ## 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. Show More ##### ## Connectors (2) Faster ingestion Manages in building pipelines between two protocols. Built-in connectors Allows continuous data ingestion directly from the data source. Show More ##### ## 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. Show More ##### ## Architecture (2) Data security Enables ingesting data efficiently and securely. Lockless architecture Allows concurrent access to data without the use of any table locks. 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[View Glossary](/glossary) [Data Modeling](/glossary/data-modeling-definition) 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. [Data Manipulation](/glossary/data-manipulation-definition) Data manipulation is the process of organizing, modifying, and transforming data to improve accuracy, usability, and analysis across systems and workflows. 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