Data Virtualization with Lyftron A Game Changer and Revenue Generator

Data Virtualization with Lyftron empowers users to integrate data from disparate sources, provides greater flexibility in data access, limit data silos, and automate query execution for faster time-to-insight. Leverage data virtualization to complement processes like data warehousing, data preparation, data quality management, and data integration.

The modern data virtualization for greater speed, agility and response time

Through 2022, 60% of all organizations will implement data virtualization as one key delivery style in their data integration architecture.” Gartner Market Guide for Data Virtualization, 16 November 2018. With Lyftron’s ultimate data virtualization architecture in place, uses could perform data replication and federation in a real-time format, allowing for greater speed and agility and response time. It enables effective data mining, predictive analytics, machine learning, and artificial intelligence.

The Data Virtualization Market size is forecast to reach $ 8.39 billion by 2025 growing at a CAGR of 20.6% during the forecast period 2020-2025

Eliminate the complexity with Lyftron's data virtualization simplicity

Productivity

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Improvement in Business Productivity

Speed

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Faster results to insights

Cost

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Reduction in cost

Time

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Faster ETL Development

Density

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Faster business decisions

Simplicity

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Faster learning

How it 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 Lyftron allows a new approach and new flexibility when it comes to managing data lake. 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?

Lyftron integrates data virtualization, manages the unified data for centralized security, and delivers real-time data for best class performance. Lyftron 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.

Get started in minutes, not months with zero code & zero setup with these agile steps

  • Extract your data
  • Auto normalize your data
  • Analyse your data
  • Virtualize
  • Visualize your data with BI tools
  • Share your data

Integrate your data with Lyftron instantly and blend with 150+ other sources

Data extraction with Lyftron is easy. Be up and moving in minutes. Without any help from developers, Lyftron enables you to choose your most valuable data and pulls it from all your connected data sources in just one click.

Business Analyst

I feel more aligned with the agile process as now I can analyze any data without worrying about any technical know how.

Empower your analytics with out of the box relational data model

Once the data is extracted, you could ingest it to the data warehouse or BI tool of your choice with zero coding required. Lyftron connectors automatically convert any source data into normalized structure of ANSI Sql and push down the data pipeline processing as an ELT to the native cloud data warehouse.

Data Analyst

I have a better control on the data analysis process as now I can run rapid fast queries against the API’s which I never thought possible.

Built for the agile data culture for your data

Next, analyze massive volumes of this real-time data in visualization tools and get instant answers to your store performance. Over 100 integrations empower you to use your favorite tools to map data, build and visualize custom reports and more.

Data Architect

I am able to do the architecture and requirement gathering by simply writing ANSI Sql queries for the API sources which use to be the taboos for me.

Run SQL queries and virtualize your data instantly.

Transform your growth metrics by combining your sales and marketing data. Joining tables, renaming metrics and mathematical calculations result in a deeper and more complex data structure than the raw data.

ETL Developer

I am able to build my data pipeline in few clicks and load billions of records to my warehouse and also able to do cross platform joins on the API sources with ease.

Analyze your data from any BI/ML tools

Visualize and explore your data metrics in beautifully designed dashboards or any BI tool such as Tableau, Looker, Google Data Studio, Excel, Google spreadsheet. Get insights across products, channels, customers, and more.

BI Analyst

I have a better response from the BI reports and able to connect with API/Json/XML based sources in just fewer clicks.

Data sharing is data caring

Define, categorize and find all data sets in one place. Share these data sets with other experts with zero code and drive better insights and user experience. This data sharing ability is perfect for companies who want to store their data once, share it with other experts and use it multiple times, now and in the future. We build the best data sharing process around your data stack. So say goodbye to the complex API, FTP and Email manual data sharing processes and simple on board your consumers to the Lyftron platform in just few minutes mins.

Our Agile Team

We are in full control of our data exchange process and easily able to share the data instantly and collaborate with teams with ease without worrying about writing complex API, FTP, Email for data sharing.

Let’s get personal: See Lyftron on your data in a live Demo

Schedule a free, no-strings-attached demo to discover how Lyftron can radically simplify data lake ETL in your organization.

Know the heart and soul of data virtualization with Lyftron

  • Source

    There is nothing easier than connecting your data from different sources to one source and avoid complicated tasks of preparing data and setting up complex ETL processes. This layer ensures a hassle free process of connecting with source connectors.

  • Virtualization

    This layer lies just below “Source” and manages the unified data for centralized security. It provides a common abstraction over any data source type, shielding users from its complexity and back-end technologies it operates on.

  • Caching

    This third layer is used to cache data used by SQL queries. Whenever data is needed for a given query it's retrieved from here, and cached in SSD and memory.

  • Metadata

    Under the covers of the caching layer, Lyftron possesses metadata which works to improve the overall performance capacity. This layer takes care of scheduler, alerts, workflow, data catalog, logs, monitoring, execution plan and more

  • Security

    Considered as the heart of Lyftron, this layer handles one of the most crucials functions of enforcing security and encrypts key management. This functions for encryption, tagging, masking, access rights and role management.

  • Visualization

    This innermost layer allows to analyze, visualize and explore the massive volume of data from disparate data sources, empowering users to drive real-time insights for business decisions.

What you get

Query API data with SQL familiar syntax

With Lyftron, avoid creating time-consuming code and use your very own SQL to query any data, both structured and semi-structured. Its modern data architecture supports automatic zero code Json/XML/API parsing to relational format. Analyze instantly with ANSI and make your data lake work for you.

Lyftron’s emulation of Microsoft SQL Server allows any client supporting connectivity to SQL Server to connect to Lyftron.

Emulation delivers compatibility with the following SQL Server features:

  • Metadata model exposed by SQL Server, including metadata catalog, system views, stored procedures, and functions
  • SQL dialect supported by SQL Server
  • Tabular Data Stream network protocol as described in Microsoft TDS documentation
  • Data types and conversions, where all data types are normalized automatically into equivalent SQL Server data types
  • Procedural programming constructs: IF, WHILE, DECLARE
  • Temporary tables (stored in-memory)
  • Selected SQL session environment variables
  • Security model supported by SQL Server
  • Authentication using Windows Integrated Authentication and SQL Server Standard Authentication (Mixed Mode)
  • Job scheduling model and accompanying stored procedures

Lyftron Easy-to-Implement Transformation Functions Supported For

  • Aggregate

  • Analytical

  • Azure Cognitive AI

  • Date & Time

  • Expression

  • Math

  • Metadata

  • Ranking

  • String

  • System

  • Data Parsing

  • Tabular

  • Data Encryption

Secure your sensitive data with our encryption functions

Lyftron comes with a built-in enterprise data governance framework complying with all of the necessary rules and tools that your team needs to successfully operationalize your program. Amplify your information governance with a robust data lineage model that follows high-quality controls and governance mechanisms.

Perform complex transformations

Skip writing long complex APIs, and transform instantly with SQL. Define data transformations as a standard SQL. Lyftron pushes down SQL to data sources and the cloud, making it easy for all users to access the information they need in a timely fashion

Quickly apply complex joins

Apply high cardinality joins between API sources, S3, Blobs and database, without heavily relying on the BI and data engineering teams to set up complex and time-consuming ETLs.

Easily query data from S3, Blob, Json, Xml like a table

Eliminate traditional ETL/EDW bottlenecks by auto- normalizing API/Json/XML/S3/Blob/NoSql sources into ready-to-query relational format. Focus on boosting the productivity of your data professionals and shorten your time to value.

Federate data sources like actual database

Take a leap from data federation technology and focus on performance optimization as well as self-service search and discovery. Spend more time analyzing data than searching for it.

State-of-the-art facial recognition API

Perform Azure cognitive AI access with our face recognition API function. Be on the top of technology, and use cognitive services that bring AI within reach of every developer—without requiring machine-learning expertise.

Easily auto extract Json, XML schemas into relational format

Now no need to write any complex API, rest services, JSON and XML parsing jobs. Lyftron takes care of all these it converts any data into relational format and allow you to query it with simple ANSI SQL.

Business benefits of data virtualization

  • Data Abstraction

    This encapsulates critical information from the outside world and ensures users can’t change the data intentionally.

  • Information Faster and Cheaper

    It’s faster and cheaper to maintain data than it is to replicate and spend resources transforming it into different formats and locations.

  • “Zero Replication" Approach

    Replication requires some serious energy and costs. With Lyftron"zero replication" approach, avoid investing in additional storage and resources.

  • Increment Business User Productivity

    By delivering data in real time, Lyftron empowers business clients to get to the most present information during standard business operations.

  • Authorize Centralized Data Governance And Security

    With Lyftron single virtual data texture, data virtualization enables architects to enforce centralized data administration and security.

  • Data Collaboration

    Lyftron acts as a data layer for analytics that combines traditional data loading with logical data warehousing to improve collaboration and deliver data-driven results needed to handle today's data volumes.

  • Data Federation

    Take a leap from data federation technology and focus on performance optimization as well as self-service search and discovery. Spend more time analyzing data than searching for it.

  • Real-time Actionable Insights

    Data consumers access real-time information of a huge volume of data coming from any source, at any time, and get a holistic view of their enterprise for critical decision making.

  • Bridging Structured and Unstructured

    Connect the semantic contrasts of unstructured and organized data with modern data architecture, and develop immediate access to all the data required for actionable insights.

An inside look of Lyftron data virtualization

Real-time Sync
Advanced security
Built-in Apache Spark
Simple Interface - no coding needed
Cost-effective licensing model
High performance, cloud friendly
Lower infrastructure costs
Codeless development
High-speed performance
Prebuilt transformation templates
Complex data parsing capabilities
Cost-effective data management

Data virtualization for all

  • Enterprises

    Focus on delivering results at minimal risk rather than managing your data. Gain real-time data access to make timely decisions, and improve campaign performance, all while saving money.

  • SMEs

    With Lyftron Data Virtualizations, SMEs could save 50-80% cost, time and efforts over traditional integration methods. It is more agile and focuses on nothing but ROI.

  • Architects

    Use the modern data architectures to abstract the complexity of accessing data from disparate data sources. Have a strict control of who accesses your data, at what time.

  • Developers

    Focus only on building the application with a zero coding platform at a negligible risk. Save heaps of cost and time and deliver at scale and velocity.

  • Marketing and Sales Teams

    Deliver sales reports and improve campaign performance with real-time data access. Predict customers behaviour and make timely decisions to achieve phenomenal retention and growth.

  • BI Developers

    Empower BI Analysts to integrate data from disparate sources of their choice and drive actionable insights from fresh, real-time information, all of this without relying on technical team

  • Finance Analysts

    Based solely on principles of security management, data governance and performance optimization, Lyftron Data Virtualization ensures every data flowing is under secured and safe ecosystem

FAQ

Lyftron is a high performance data virtualization solution for immediate data access, quick data centralization and data governance. Its next-gen architecture complements processes like data warehousing, data preparation, data quality management, and data integration for highest possible performance.

It empowers enterprises to build a single source of data truth by using a virtual layer on their data environment, thereby providing real-time data access for faster decision making.

Architects could use this to abstract the complexity of accessing data and developers , to build applications quickly and easily, with zero coding environment.

Data virtualization with Lyftron makes the data available in minutes and automates data workflows using SQL, thereby cutting down the development, cost, time and efforts by 80%.

Focused on improved transparency and accountability, the modern architecture encapsulates critical information from the outside world and ensures users can’t change the data intentionally.

The modern data platform eliminates the time spent by engineers building data pipelines manually, and makes data instantly accessible by providing real-time access with simple ANSI SQL. Lyftron prebuilt connectors automatically deliver data to warehouses in normalized, ready-to-query schemas and provide full search on data catalog.

Please write to us at [email protected] for details related to pricing.

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