lyftrondata Features

Supports for managing different types of databases and integration methods.

Gives admistrators control over data-related privilages and accessability

Allows users to secure access to data. Provides additional support for security practices like IP whitelisting, attack mitigation, and data encryption.

Access work applications remotely, for when working away from the office and/or traveling

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

Remotely monitor and manage client networks, endpoints, systems, and devices via locally installed applications

Monitor service demand and performance to plan for adequate resources that meet business needs

Identify component attributes like servers, hardware, software, and manage relationships across all services

Create, save, and store files

Track and manage adherence to policies for any service, product, process, or supplier

Set and monitor service level agreements to ensure timely response and resolution

Prevent naming collisions across files, folders and systems

Define levels of authorization for access to specific files or systems

Creates integrations and allows management of connected contains.

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

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

Application Programming Interface Specification for how the application communicates with other software. APIs typically enable integration of data, logic, objects, etc. with other software applications.

Create new VMs on physical host servers and allocate resources

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

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

Processes data and represents interpretations in a variety of graphic formats.

Functions when integrated with multiple forms of external applications.

Tools to (re)structure data in a manner that allows extracting insights quickly and accurately.

View ETL process data via reports and visualizations like charts and graphs.

Record ETL historical data for auditing and potential data correction needs.

Offer backup and/or recovery options for data being migrated to the cloud.

Integrates with a variety of sources and/or migration targets.

Maintain user access and security features associated with pre-migrated data in the post-migration environment.

Real-time view and status of every component in the cloud environment.

Track data and system backups, replication, and failover events.

Integrate with other management, resilience, or backup solutions

Be compatible with a variety of cloud and/or virtual infrastructure.

Monitor replication environment via GUI

Extract data from the designated source(s) like relational databases, JSON files, and XML files.

Cleanse and re-format extracted data to the needed target format.

Load reformatted data into target database, data warehouse, or other storage location.

Arrange ETL processes to occur automatically on needed time schedule (e.g., daily, weekly, monthly).

Capable of scaling processing power up or down based on ETL volume.

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

Migrate data from on-premises or cloud solutions to a separate cloud environment or solution.

Be compatible with a variety of data types for migration.

Send alerts for migration failures, and log migration processes to show possible root causes for failures.

Copy and store the same data in multiple locations.

Provide as-before failover capabilities for cloud environments.

Services are offered under a pay-as-you-go or utilization-based purchase model.

Offer disaster recovery capabilities as a third-party provider.

Transform or encode data before being moved to the cloud.

Policies, procedures and standards to manage and access data.

Restricts data access at a cell level, mask or hide parts of cells, and encrypt data at rest and in motion

Consolidates, Cleanses and Normalizes data from multiple disparate sources.

Helps save storage capacity and improves query performance.

Eliminates data inconsistency and duplications ensuring data integrity.

SQL based analytics functions like Time series, pattern matching, geospatial analytics etc.

Provides built in capabilities like machine learning algorithms, data preparation functions, model evaluation and management etc.

Allows data querying across data formats like parquet, ORC, JSON etc and analyze complex data types on HDFS

Process of extracting and moving data from multiple sources to a single and unified database

Import, collect, and capture data from multiple sources

Analyze and gain insights into data in real-time

View and track pertinent metrics to find patterns and gain insights from data

Integrates with data science workflows, Machine Learning and artificial intelligence (AI) capabilities.

Integrates with BI Tools to transform data into Actionable Insights.

Provides speed in data processing and capturing unstructured, semi-structured and streaming data.

Provides On-Premise deployment options.

Provides Cloud deployment options (private or public cloud, hybrid cloud).

Manages huge volumes of data, upscale or downscale as per demand.

Allows users to generate text based on a text prompt.

Condenses long documents or text into a brief summary.

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

Capability to perform complex tasks without constant human input

Ability to break down and plan multi-step processes

Makes informed choices based on available data and objectives

Running multiple processors to handle separate parts of an overall task and manage complex tasks/computations.

Allows users to manage data from a number of sources

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

Blending and analysis of large data sets without moving data out of a database.

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

Active reporting of data and metrics

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

Active monitoring of systems, applications, or networks

Connect to big data sources

A set of indicators that tracks the performance of networks, applications, systems, teams, etc.

Generate one-off reports that meet information requirements

Alerts or notifications of various types such as pop-up messages, sounds, banners, or badges

Define levels of authorization for access to specific files or systems

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

Graphical representation of data

Import and export data to and from software applications

Looking at data from different sources and finding possible duplicates, or identical matches

Translate EDI formats into data suitable for use with company applications.

Securely stores data to prevent data loss or breaches

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

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

Alter the layout and content of reports

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

Move from one database to another, or upgrade the version of database software being used

Track the management and flow of data throughout the organization

Active reporting of data and metrics

Active monitoring of systems, applications, or networks

Extra layer of security that requires not only a password and username but also something specific to that user

Encrypts all information within a virtual machine including data, files, OS and software programs.

Create backups and provide methods to recover deleted/lost data

Move files across different systems or networks

Continuously scan servers on a designated network to monitor health and search for any irregularities or failures

Securely stores data to prevent data loss or breaches

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

Move from one database to another, or upgrade the version of database software being used

Track and manage virtual machines (VMs) running on physical host machines

Process of distributing a set of tasks over a set of resources, with the aim of making their overall processing more efficient

Deploy updates or install new software remotely

Moving and separately storing data that is not actively used or continuous storage of data for compliance purposes

Interact with data visualization elements, such as charts and graphs, to drill down into data

Create images of a virtual machine at a specific point in time as a state to revert to if needed

Set & manage permission levels based on user roles and restrict access to only authorized individuals

Compliant with HIPAA, which sets standards for sensitive patient data protection

Monitoring and measurement of relevant metrics to assess the performance of IT resources

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

Platform to achieve application and desktop virtualization

A chronological record of actions or occurrences within a network, software, or process

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

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

Plan and implement business continuity measures in case of unforeseen events

System alerts about the need to escalate an issue or request

Data is backed up automatically to prevent data loss

View and track pertinent metrics to find patterns and gain insights from data

Track the management and flow of data throughout the organization

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

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

Identify which applications need to exchange data and enable these data connections

View and track pertinent metrics to find patterns and gain insights from data

Define levels of authorization for access to specific files or systems

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

Looking at data from different sources and finding possible duplicates, or identical matches

Active monitoring of systems, applications, or networks

Collect and maintain structured information that describes data or content

Track the progress of long term goals, campaigns, and opportunities, for sales, projects, business ventures etc.

Planning and managing the execution of tasks or jobs within a computer system, network, or other automated environments

Creation and customization of dashboards

Manage and store data in a database

Allows users to manage data from a number of sources

Import and export data to and from software applications

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

Establish guidelines about how much and what kind of data can be stored in the repository

Connect to big data sources

Alter the layout and content of reports

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

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

Interact with data visualization elements, such as charts and graphs, to drill down into data

Integrate with a third-party accounting system

Receive data and information in real time

Has a built-in eCommerce system or integrates with third-party systems to manage online sale of products

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

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

Graphical representation of data

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

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

Analyze and gain insights into data in real-time

Import, collect, and capture data from multiple sources

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

Organize and manage the accomplishments and development of employees or performance of applications or systems

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

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

Process of copying and storing data in more than one site or node

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

Supports common databases such as MySQL and Oracle

Create, design and manage workflows for repetitive tasks

Alerts or notifications of various types such as pop-up messages, sounds, banners, or badges

Predict future data based on historical data sets

Move from one database to another, or upgrade the version of database software being used

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

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

Analyze survey results via statistical testing or crosstabs directly within the software