Tiger Data Features

Provides tools for building, deploying, or integrating source code into hosted application.

Development of custom software, web apps, mobile apps, etc.

Provides tools for sharing code, tracking progress, and shipping software.

Run stored procedures and queries in multiple programming languages, such as JSON, Java, Python, Ruby, Perl, and SQL

Tests the functionality of a software application. Detects and diagnoses issues in application.

An application for source code editing, compiling, and debugging

Provides a channel for team members to share media files, communicate, and work together

Integrate with social media platforms such as Facebook, Twitter, LinkedIn, etc.

Iterative project Management approach that involves technologies such as Kanban, Scrum, XP, APF, XPM and more

Development of software programs

Lets developers manage database services. Provides support for different types of databases and integration methods.

Lets users analyze deployment, user, storage, and business metrics.

Provides tools or bots that scale services and data automatically or on demand.

Stores versions of application and data or incrementally backs up data.

Provides scalable cloud storage for different forms of data. Store analytics and records for reporting.

Plan and coordinate all the resources, costs and time needed to execute assignments

Manage, store and organize emails within the system or via third-party apps

Collaborate on creating a product by sharing and adjusting designs through a shared portal

Manage the end-to-end lifecycle, from initial setup/development to deployment and maintenance

Manage the processes involved when making the application ready for use

Create, design and manage workflows for repetitive tasks

Track, manage and store the applications of potential future members, customers or candidates

Create, send, and track purchase orders and their statuses

Automates core HR functions such as talent management, employee evaluation and learning management

Manage user accounts, profiles, roles, permissions, and other details across applications, devices or networks

Allows users to provision networks, deliver content, balance loads, and manage traffic.

Provides virtual networks and operating systems.

Secures applications, encrypt data, and manage identities.

Track and document all activities across devices, networks, and other systems

Functions when integrated with multiple forms of external applications.

Allows admisistrators to manage and organize storage, networks, and datacenters.

Monitors performance and statistics related to memory, caches and connections.

Alerts users when unauthorized parties or malware is detected allowing administrators to remedy the issue.

Secures data at rest and in transit from unauthorized access.

Allows administrators to organize components of the database to maintain instance efficiency.

Allows the creating and relinquishing of database access credentials.

Documents access and alterations of the database for analytics and reporting.

Expands functionality while maintaining balanced loads. Serves growing demand without reducing functionality.

The abillity to restore files to its original loacation or alternative sources on-demand.

Stores historical records of information for reverting or reference.

Helps users navigate databases by labeling and organizing datasets.

Implements auto horizontal data partitioning that allows storing data on more than one node to scale out.

Restores a database to a correct (consistent) state in the event of a failure.

Copy data across multiple servers through master-slave, peer-to-peer replication architecture etc.

Data masking provides an additional layer of access control that can be applied to tables and views.

Verifies identity of database users.

Allows users to gain statistically valid insights from their data while protecting the privacy of individuals.

Encrypts and transforms data at the database from a readable state into a ciphertext of unreadable characters.

Allows restricted user acess to modify depending on the access level.

Access software remotely via mobile devices

Prevents other users and applications from accessing data while it is being updated to avoid data loss or update.

Allows permissions to be granted or revoked in the database, schema or table levels.

Built-in native encryption with enterprise key management.

Provides multi-factor authentication with certificates.

Provides predefined system roles, privileges, and user-defined roles to users.

Allows integration with external security mechanisms like Kerberos, LDAP authentication etc.

Provides an audit log to track access and operations performed on databases for regulatory compliance.

Provides encryption capability for all the data at rest using encryption keys.

Helps in improving the availability of data.

Uses machine learning algorithms to gain actionable insights.

Allows data movement from one database to another.

Provides data backup and recovery functionality to protect and restore a database.

Allows users to access and work on data concurrently, supporting several views of the data.

Data is backed up automatically to prevent data loss

Transformation of data from one format to another

Stores the database metadata, that is the definitions of data elements, types, relationships etc.

Creates a copy of the database to maintain consistency and integrity.

Allows users to create, update and retrieve data in a database.

Defines the logical design of the data before building the schemas.

Monitors and analyzes critical database attributes like query performance, user sessions, dead lock detail, system errors etc and visualize them on a custom dashboard.

Synchronizing data between two or more devices/systems and automatically updating changes to maintain consistency

Receive data and information in real time

Manage and store data in a database

Provides support for international character sets and full text search.

Supports multiple data types like primitive, structured, document etc.

Supports multiple procedural programming languages like PL/PGSQL, Perl, Python etc.

Available on multiple operating systems like Linux, Windows, MacOS etc.

Provides data recovery functionality to protect and restore data in a database.

Allows multi-version concurrency control.

Handles workloads, from single machines to data warehouses or web services with many concurrent users.

Allows users to quickly retrieve data through various types of indexing like B-tree, hash table etc.

Helps interpret SQL queries and determine the fastest method of execution.

Data is organized as a set of tables with columns and rows like a table structure.

Allows users to create, update and retrieve data in a database.

Adheres to ACID (atomicity, consistency, isolation, durability), a set of database transaction properties.

Provides log-based or/and trigger-based replication.

Stores data tables as columns.

Supports multiple data types like lists, sets, hashes (similar to map), sorted sets etc.

Stores frequently-used data in system memory quickly.

Provides support to store, index and query data in more than one format.

Available on multiple operating systems like Linux, Windows, MacOS etc.

Allows semantic search service by organizing data.

Allows indexing of data for search and retrieval.

The feature aids in filtering queries by metadata thus achieving accurate search.

This feature integrates vectors and metadata indexes into a single index.

Aids in faster processing of query to obtain results.

Enables faster queries and search engine-like workloads.

Enables the user to track the time taken for data to be generated and available for processing

Aids in monitoring and reporting data pipeline performance.

Manages in building pipelines between two protocols.

Allows continuous data ingestion directly from the data source.

Aids the database in scaling horizontally and vertically in petabytes.

Helps store the data in fixed size segments called vectors for better management.

Enables ingesting data efficiently and securely.

Allows concurrent access to data without the use of any table locks.

Define levels of authorization for access to specific files or systems

Customize contracts and forms to collect specific information

Observe and track the demand, usage, progress or quality of a system, product, or user

Pre-designed layouts that can be customized to match preferences and requirements

A network of remote servers which allow businesses to store, manage, and process data through the cloud instead of a local server

Use AI to generate content in the form of text, images, videos, etc.

Track revisions and updates made to files and navigate between different versions

Alter the layout and content of reports

Manage the process of evaluating documents or requests submitted for approval

Active reporting of data and metrics

Web form that allows users to enter data that is sent and processed for different reasons

Track and monitor inventory items, such as raw materials, unfinished goods, and ready-to-sell items

Integrate with existing ERP systems

Built-in customer relationship management (CRM) capabilities or integration with a third-party CRM system

Customize data fields to support various needs and use cases

Connect to big data sources

Set up connections to third-party platforms to improve business processes

Integrates with Active Directory

A visual way of interacting with an application or operating system using items such as windows, icons, and menus

Receive data and information in real time

For the intention to be used by developers

Collection, analysis, and representation of numerical data and generation of reports to understand various patterns

Allow users to access multiple services after entering their login credentials once

Access software remotely via mobile devices

Integrate with a third-party accounting system

Assemble applications and processes by dragging over and arranging pre-built components

A virtual assistant that uses AI to pursue goals and complete tasks on behalf of users

Application programming interface that allows for integration with other systems/databases

Configure existing workflows to meet your organization's needs

Dashboard to view the status of ongoing processes, identify current incidents and track past activities

Estimate or forecast of a future scenario based on the study of present trends

Create, design and manage workflows for repetitive tasks

Set up connections to third-party platforms to improve business processes

Automatically retrieve and pull information from documents, websites, images, data sets, and other sources

Database management based on relationships between data

Security protocol that ensures secure, encrypted communication over the internet, safeguarding sensitive data from unauthorized access

Application programming interface that allows for integration with other systems/databases

Connect to big data sources

Search and filter data across systems to locate required information by entering keywords or certain criteria

Collection, analysis, and representation of numerical data and generation of reports to understand various patterns

Pre-designed layouts that can be customized to match preferences and requirements

A virtual assistant that uses AI to pursue goals and complete tasks on behalf of users

Search for specific words or phrases within a document or database

Retrieve and use data without requiring technical details about the data

Import and export data to and from software applications

Use AI to generate content in the form of text, images, videos, etc.

Assemble applications and processes by dragging over and arranging pre-built components

Customize data fields to support various needs and use cases

Verify the identity of users/devices to enable secure access

Graphical representation of data

Securely stores data to prevent data loss or breaches

Dashboard to view the status of ongoing processes, identify current incidents and track past activities

Track the management and flow of data throughout the organization

Run stored procedures and queries in multiple programming languages, such as JSON, Java, Python, Ruby, Perl, and SQL

Import, collect, and capture data from multiple sources

Manage user accounts, profiles, roles, permissions, and other details across applications, devices or networks

Database management based on customization, fluidity, and document relations

Define levels of authorization for access to specific files or systems

Track and manage schedules and meetings via an integrated calendar

Active monitoring of systems, applications, or networks

Store and organize documents in a centralized system

Plan, schedule, and execute organization's accounts and assets to ensure compliance with policies and laws

Manage patient documentation describing all clinical interactions, diagnoses, procedures, medications, etc.