Lyftrondata vs Data Virtuality

Challenge The Traditional Method: Overcome The Bottlenecks Of ETL/ELT Process

Data has always been a vital part of all businesses. Data virtualization, hence, stands as a very valuable functionality that allows businesses to integrate, manage, access, and aggregate data from various sources irrespective of their physical location or real-time format.

The best value implementation of data virtualization may be a high-speed, virtualized information layer. Such a layer permits strong management and governance while delivering self-service access to crucial information and organizing it for scale in an exceedingly cost-efficient manner. However, most data virtualization implementations begin at a small level and then expand gradually. To make the search easy for data enthusiasts, below is the list of top data virtualization platforms. Take a look.

What’s Lyftrondata
Lyftrondata is a modern data fabric solution that provides real-time access to any data and enables users to query them with simple ANSI SQL. With Lyftrondata, enterprises can build data pipelines in minutes and shorten the time to insights by 75%, with the power of modern cloud computing of Snowflake and Spark.
Lyftrondata eliminates the time spent by engineers building data pipelines manually and makes data instantly accessible to analysts with simple and standard ANSI SQL. Its prebuilt connectors automatically deliver data to warehouses in normalized, ready-to-query schemas and provide full search on the data catalog.

Why Lyftrondata, a comprehensive  ANSI SQL Platform  is the best

  • Speed

    Fastest response to your queries at a massive scale

  • Density

    Migrates any amount of data from any source of your choice

  • Velocity

    Data transformation possible in a fraction of minutes

  • Simplicity

    Effortless modern data hub for workload migration

  • Time

    Shortest time-to-value and actionable insights

  • Cost

    Huge cost savior for all kinds of migration projects.

Comparative rating index

Not available Available with limited functionalities Available with industry's best functionalities
Highlights Lyftrondata Data Virtuality
Cost
G2 Rating
5 stars 76 reviews
4.6 star 14 reviews
Number of Connectors
300+ connectors
200+ connectors
Learning Curve and Time to Build Data Pipeline
1-5 days
-
Team Size
1-10 resources
20-30 resources
Security Protocol
GDPR and HIPPA
SSL/TLS, HTTPS
Deployment
SAAS
On-Premise
PAAS
Core Competencies
Data Pipeline
Automatic ANSI SQL Pipeline. Lyftrondata eliminates the time spent building data pipelines manually and makes data instantly accessible with simple ANSI SQL.
Data Catalog
With Lyftrondata, users can access an enterprise-wide data catalog and data lineage to quickly discover, understand, and manage all their data and keep it up-to-date.
Delta Lake
Lyftrondata arguably shares a better framework to build a sophisticated delta lake on Amazon S3, Blob, and Google Storage.
Data Virtualization
Lyftrondata provides a common abstraction over any data source type, shielding users from its complexity and back-end technologies it operates on. It relies on views that allow users to integrate data on the fly.
Data Replication
Faster and smoother with Lyftrondata, as it quickly replicates all business data to the data warehouse, without the need for maintenance or configuration.
Managed Warehouse
Lyftrondata's large-scale, high-performance, and cost-effective warehouse is designed to collect the data from more than 150 sources, transform it with familiar SQL, and analyze it in BI tools for instant insights, all with zero coding absolutely.
Data Sharing
With Lyftrondata's robust and secured sharing framework, you can enable governance on your data hub and easily maintain one-to-one, one-to-many, and many-to-many relationships with your customers & partners.
API Data Models
Lyftrondata empowers users to avoid creating time-consuming code and use SQL to query any data, both structured and semi-structured.
Data Preparation
Data preparation with Lyftrondata enables cleaning, structuring, and enriching raw data into the desired output for analysis. This functions to clean and transform data from one or more sources to improve its quality prior to its use in business data analysis.
SQL Workbench
Use SQL to query any data, both structured and semi-structured. Our Warehouse supports automatic zero code JSON/XML/API parsing to relational format. Analyze instantly with ANSI.
Data Governance
Lyftrondata comes with a built-in enterprise data governance framework complying with all of the necessary rules and a robust data lineage model that follows high-quality controls and governance mechanisms.
Highlights Lyftrondata Data Virtuality
Cost
G2 Rating
5 stars 76 reviews
4.6 star 14 reviews
Number of Connectors
300+ connectors
200+ connectors
Learning Curve and Time to Build Data Pipeline
1-5 days
-
Team Size
1-10 resources
20-30 resources
Security Protocol
GDPR and HIPPA
SSL/TLS, HTTPS
Deployment
SAAS
On-Premise
PAAS
Core Competencies
Data Pipeline
Automatic ANSI SQL Pipeline. Lyftrondata eliminates the time spent building data pipelines manually and makes data instantly accessible with simple ANSI SQL.
Data Catalog
With Lyftrondata, users can access an enterprise-wide data catalog and data lineage to quickly discover, understand, and manage all their data and keep it up-to-date.
Delta Lake
Lyftrondata arguably shares a better framework to build a sophisticated delta lake on Amazon S3, Blob, and Google Storage.
Data Virtualization
Lyftrondata provides a common abstraction over any data source type, shielding users from its complexity and back-end technologies it operates on. It relies on views that allow users to integrate data on the fly.
Data Replication
Faster and smoother with Lyftrondata, as it quickly replicates all business data to the data warehouse, without the need for maintenance or configuration.
Managed Warehouse
Lyftrondata's large-scale, high-performance, and cost-effective warehouse is designed to collect the data from more than 150 sources, transform it with familiar SQL, and analyze it in BI tools for instant insights, all with zero coding absolutely.
Data Sharing
With Lyftrondata's robust and secured sharing framework, you can enable governance on your data hub and easily maintain one-to-one, one-to-many, and many-to-many relationships with your customers & partners.
API Data Models
Lyftrondata empowers users to avoid creating time-consuming code and use SQL to query any data, both structured and semi-structured.
Data Preparation
Data preparation with Lyftrondata enables cleaning, structuring, and enriching raw data into the desired output for analysis. This functions to clean and transform data from one or more sources to improve its quality prior to its use in business data analysis.
SQL Workbench
Use SQL to query any data, both structured and semi-structured. Our Warehouse supports automatic zero code JSON/XML/API parsing to relational format. Analyze instantly with ANSI.
Data Governance
Lyftrondata comes with a built-in enterprise data governance framework complying with all of the necessary rules and a robust data lineage model that follows high-quality controls and governance mechanisms.

Highlights Lyftrondata Data Virtuality
Ease of Use
Easy to use click-based user interface delivers a codeless development environment.
Access Rights
With Lyftrondata, users can easily manage access rights and roles on various levels of granularity.
User Management
Lyftrondata uses users and roles for access management. Permissions can be assigned on a per-user or per-role basis.
Role Management
Lyftrondata comes with several predefined roles which define the actual permissions for the given users.
Auto Data Type Conversion
Automated data type mapping keeps detecting and loading incremental data to the target.
Scheduler
Lyftrondata supports a user-defined recurrent task called a job which is used along with a scheduler.
Tagging
Universal data catalog tag-based search of Lyftrondata enables users to have full control of their data catalog and do the search with ease.
Workflow
Lyftrondata makes the data available in minutes and automates data workflows using SQL, thereby cutting down the development, cost, time, and efforts by 80%.
Execution History
With Lyftrondata, users can get a list of recently executed statements under the execution history.
Broken Pipeline Alerts
Get alerts and notifications on broken pipelines.
Row Level Security
Lyftrondata's modern architecture provides row-level access security to the users and makes it easy to share data without writing any single piece of code.
Column Level Security
Lyftrondata's modern architecture provides column-level access security to the users and makes it easy to share data without writing any single piece of code.
Notification and Alerts
Lyftrondata comes with a build-in notification system to alert users when the source is changed.
User Activity History
Lyftrondata uses the industry-leading log-based change data capture technology to continuously detect and load incremental changes with minimal impact on the source systems.

Highlights Lyftrondata Data Virtuality
API Normalization
Lyftrondata connectors automatically normalize the data from API, JSON, and XML formats.
SQL Support
Use SQL to query any data, both structured and semi-structured.
Data Hub
With Lyftrondata's data virtualization capabilities, link cross-platform sources easily and quickly, without moving the data.
Support, Documentation and Training
Get the round-the-clock training & support with Lyftrondata.
Transformation
Have your staff trained in the new tools and architecture of Lyftrondata which enables the swift transition to your team.
Real-time Integration
All transformations are defined in standard SQL, which are pushed down to the data warehouse in their native SQL for better performance. Use default templates for common transformations like Star Schema and integration techniques, eliminating time spent on tedious tasks.
Built-in Spark Parallel Processing
Continuously load your real-time data to destination with minimal impact on source systems. Get instant insights in BI tools with the latest data sets.
Data Profiling
The robust architecture of Lyftrondata allows parallel processing of 2000+ data warehouse queries.
Auto Data Masking
Lyftrondata empowers enterprises to do data masking and encryption at the field level. Users can control the security thoroughly.
Proactive Monitoring
Monitors data quality and send alerts based on changes made in data sources.

HighlightsLyftrondataData Virtuality
Ease of Admininstration
Ease of Building Pipeline Automatically
Ease of Writing SQL to Query API
Quality of Support
Ease of Setup and Configuration

HighlightsLyftrondataData Virtuality
Ease of Use

Easy to use click-based user interface delivers a codeless development environment.
Access Rights

With Lyftrondata, users can easily manage access rights and roles on various levels of granularity.
User Management

Lyftrondata uses users and roles for access management. Permissions can be assigned on a per-user or per-role basis.
Role Management

Lyftrondata comes with several predefined roles which define the actual permissions for the given users.
Auto Data Type Conversion

Automated data type mapping keeps detecting and loading incremental data to the target.
Scheduler

Lyftrondata supports a user-defined recurrent task called a job which is used along with a scheduler.
Tagging

Universal data catalog tag-based search of Lyftrondata enables users to have full control of their data catalog and do the search with ease.
Workflow

Lyftrondata makes the data available in minutes and automates data workflows using SQL, thereby cutting down the development, cost, time, and efforts by 80%.
Execution History

With Lyftrondata, users can get a list of recently executed statements under the execution history.
Broken Pipeline Alerts

Get alerts and notifications on broken pipelines.
Row Level Security

Lyftrondata's modern architecture provides row-level access security to the users and makes it easy to share data without writing any single piece of code.
Column Level Security

Lyftrondata's modern architecture provides column-level access security to the users and makes it easy to share data without writing any single piece of code.
Notification and Alerts

Lyftrondata comes with a build-in notification system to alert users when the source is changed.
User Activity History

Lyftrondata uses the industry-leading log-based change data capture technology to continuously detect and load incremental changes with minimal impact on the source systems.

Highlights Lyftrondata Data Virtuality
API Normalization
Lyftrondata connectors automatically normalize the data from API, JSON, and XML formats.
SQL Support
Use SQL to query any data, both structured and semi-structured.
Data Hub
With Lyftrondata's data virtualization capabilities, link cross-platform sources easily and quickly, without moving the data.
Support, Documentation and Training
Get the round-the-clock training & support with Lyftrondata.
Transformation
Have your staff trained in the new tools and architecture of Lyftrondata which enables the swift transition to your team.
Real-time Integration
All transformations are defined in standard SQL, which are pushed down to the data warehouse in their native SQL for better performance. Use default templates for common transformations like Star Schema and integration techniques, eliminating time spent on tedious tasks.
Built-in Spark Parallel Processing
Continuously load your real-time data to destination with minimal impact on source systems. Get instant insights in BI tools with the latest data sets.
Data Profiling
The robust architecture of Lyftrondata allows parallel processing of 2000+ data warehouse queries.
Auto Data Masking
Lyftrondata empowers enterprises to do data masking and encryption at the field level. Users can control the security thoroughly.
Proactive Monitoring
Monitors data quality and send alerts based on changes made in data sources.

HighlightsLyftrondataData Virtuality
Ease of Administration
Ease of Building Pipeline Automatically
Ease of Writing SQL to Query API
Quality of Support
Ease of Setup and Configuration

Lyftrondata's value propositions that set it apart from traditional data pipeline tools for modern data warehouse, modernization & migration

Read our latest blog to learn what is Modern-Day Data Virtualization and how Lyftrondata enables Data Virtualization on Snowflake.

Explore how Data Virtualization with Lyftrondata and Snowflake could be a game changer and revenue generator.

Data Virtualization with Lyftrondata a game-changer and revenue generator

Data Virtualization with Lyftrondata empowers users to integrate data from disparate sources, provides greater flexibility in data access, limit data silos, and automates query execution for faster time-to-insight. With Lyftrondata’s ultimate data virtualization architecture in place, users could perform data replication and federation in a real-time format, allowing for greater speed, agility, and response time. It enables effective data mining, predictive analytics, machine learning, and artificial intelligence.

Leverage data virtualization to complement processes like data warehousing, data preparation, data quality management, and data integration.

How Data Virtualization with Lyftrondata works

Data Virtualization (DV) enables Logical Data Warehouses(LDW). Data virtualization tools offer users a single interface — often based on SQL — to access data in multiple places or formats.

The LDW technology that resides in Lyftrondata allows a new approach and flexibility when it comes to managing data lakes. It is even possible to dispense with them due to the capacity of an LDW to contact the source directly in real-time and without any intermediaries. Why build a data lake if we can develop and model directly using data sources?

Lyftrondata integrates data virtualization, manages the unified data for centralized security, and delivers real-time data for best class performance. Lyftrondata provides a common abstraction over any data source type, shielding users from its complexity and back-end technologies it operates on. It relies on views that allow users to integrate data on the fly.

START PLANNING YOUR MODERNIZATION

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