Lyftron Nex-Gen Data Warehouse Platform

The Ultimate Warehouse for Unbeatable Security, Insights and Confidence!

The new Lyftron Warehouse brings the full power and confidence of next-gen warehouse to the fast-growing enterprises and enables them to perform with no limitations. With the agile-based infrastructure, you could build huge applications easily and go from raw data to powerful insights in a fraction of minutes.

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Integration Architecture

Next-generation data warehouse built for performance and advanced analytics

Lyftron Warehouse handles today’s data challenges and enables enterprises to stay on the top of an avalanche of data. The modern architecture and enterprise-class integration is powered by AI-driven automation, which allows users to bring together all data at any scale and get advanced analytics in a fraction of minutes.

The large scale, high performance and cost-effective warehouse is designed to collect the data from more than 100 sources, transform with familiar SQL and collect in favorite BI tools for instant insights, all of this with zero coding absolutely.

With Lyftron Warehouse agile-based infrastructure, you could build huge applications easily and ensure end-to-end meta-data management for data warehousing initiatives. Lyftron is a data layer for Analytics that combines traditional data loading with Logical Data Warehousing to improve collaboration and simplify data management.

Eliminate the complexity with Lyftron's data warehouse simplicity

Velocity

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Data Warehouse Parallel queries

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Faster results to insights

Cost

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Faster Implementation

Density

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Faster Migration

Simplicity

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Faster learning

How it works

Get started with bulk data loading of selected data from the source of your choice to the Lyftron Warehouse. The Logical Data Warehouse layer of Lyftron provides parallel access to both -Lyftron Warehouses and all data sources in one place. The self-service data management portal empowers data savvy users in their routine tasks.

Features

ZERO DevOps Headache

Do not worry about codes or scripts. With the most intuitive interface, within a couple of clicks, you can load your data to the warehouse without any hassle.
Secured Data Sharing

Get the best-in-class, standards-based practices to ensure your data security. Our Warehouse enables data masking and encryption to handle your sensitive data.
Unlimited Cloud Compute

Lyftron’s columnar architecture automatically scale to support any amount of data, workloads and applications without requiring data movement, data marts or data copies.

Instant Insights with ANSI SQL

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.
Faster Query Performance

Load the data without any delays and without worrying about structure or schema. Data is loaded from the data source, data transformations are applied on the fly as SQL expressions and the transformed data is streamed directly to the warehouse

From data to analytics, in a matter of seconds

Integrate your data from 150+ sources instantly

Register over 100+ types of data sources in one place. Choose the most valuable data sources and replicate them to the cloud.

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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 simple, codeless, automated API relational data models

We build the best data models around various source API’s, to ensure you will get all of your data and can query the non relational source like API/Json/XML with ANSI Sql.

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

We enables any non technical person to analyze the data from API without worrying about any coding. Simple connect your source and run ANSI sql queries.

SELECT o.userid, o.order_id, o.amount, case when p.status=“Active” then 1 Else 0 end as status, p.currency, pay.fee FROM [ order ] o INNER JOIN [ payouttransactions ] pay ON o.id = pay.id INNER JOIN [ payouts ] p ON p . id = pay.id

User-id	Order-id	Amount	Currency	Fee
1	187453	$20	$	$123

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.

Load your data into Lyftron warehouse or lake instantly or connect with your data warehouse.

Define dataset, apply SQL transformations or simply migrate your SQL data processing logic to any cloud data warehouse.

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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

Create a canonical data model that is shared between BI tools. Build a shared data catalog of valuable data sources.

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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.

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Warehouse Architecture
Lyftron - Warehouse Integration Architecture

Warehouse architecture

Services

The outermost layer functions to federate the data by streamlining data management, handling secured transactions, and optimizing the whole data transformation process. It is meant to process voluminous data at high speed for unbeatable performance.
Security

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

Under the covers of the security 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
Sharing

This fourth layer promises secured and governed data sharing to all the users. It functions to ensure a data set could be shared internally, between different operating groups and could also be easily transported to the external commodities, eliminating the use to implement a sharing tool.
Compute

This functions for optimized process and better load performance with push down on inbuilt Spark, AWS EMR, Azure HD Insights, Databricks, Snowflake, and more. It is meant to process voluminous data effectively and efficiently at lightning speed.
Storage

Innermost layer is responsible for storing the data securely and effectively. It delivers the most updated data sets and empower users to combine it with their existing data for deepest insights.

Lyftron - warehouse integration architecture

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. The outermost layer ensures a hassle-free process of connecting with source connectors like S3, Blob, Salesforce, Marketo, Shopify, Oracle, and more.
Warehouse

The Logical Data Warehouse layer of Lyftron provides parallel access to both Data Warehouses and all data sources in one place. This supports petabytes of storage and more optimized techniques to run complex analytic queries.
Storage

This layer is responsible for storing the data securely and effectively. It delivers the most updated data sets and empowers users to combine it with their existing data for deepest insights.
Compute

This functions for optimized process and better load performance with push down on inbuilt Spark, AWS EMR, Azure HD Insights, Databricks, Snowflake, and more. It is meant to process voluminous data effectively and efficiently at lightning speed.
Metadata

Under the covers of the security 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 crucial functions of enforcing security and encrypts key management. This functions for encryption, tagging, masking, access rights, and role management.
Visualize

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.

Technical benefits

Query Push down

Execute filtering, grouping and joining directly on data source
Automatic Transformation

Ingest and parse JSON, and server log files into easy-to-access tables
Query with SQL

Query any data using Transact-SQL and standard SQL Server drivers
Risk-free Ride

Most cost-effective and fast migration with zero coding

Data Federation

Create a single view of all data sources and data warehouses.
Query Pre-aggregation

Accelerate queries to data cubes stored in relational databases
Get Started in Minutes

Easy and fast setup to go from raw data to actionable insights.

Lyftron warehouse for everyone

Enterprises

Avoid spending time on data operations and focus more on driving revenue from the best of your data. Lyftron warehouse takes care of everything from data integration to management to query optimisation to BI acceleration. Without engineering experience, analysts could gather any data and examine it in different BI tools of their choice.
Startups

Use the most cost-effective modern data model to automate your data performance and drive critical insights from real-time data. Built for everyone, Lyftron Warehouse ensures, it could be used by everyone in the team from engineers to analysts It abstracts the complexity of accessing data from disparate data sources. Have a strict control of who accesses your data, at what time.
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

Why should I choose Lyftron Warehouse?

With Lyftron Warehouse agile-based infrastructure, you could build huge applications easily and go from raw data to powerful insights in a fraction of minutes. Lyftron is a data layer for Analytics that combines traditional data loading with Logical Data Warehousing to improve collaboration and simplify data management.

How does Lyftron integrate logical data warehouse and data virtualization?

Lyftron modern data hub offers a logical data warehouse where software data is stored once and utilizes the memory compute for transformation, loading, and standardization. Data virtualization offers users a single interface — often based on SQL — to access data in multiple places or formats.

Lyftron integrates data virtualization, manages the unified accounting 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 finance users to integrate data on the fly.

How is data prepared and served through the Lyftron model?

Lyftron speeds up the data preparation process so that the focus is less on cleaning the data and more on gaining insights in the shortest time possible. Such self-service data preparation systems, collaborative data modeling, and instant logical data warehousing allow different live of functions to work together and deliver fast.

Any specific size of data and BI tools supported in Lyftron?

Analyze any data size in more than 35 visualization tools! The agile-data delivery model could process trillions of rows, tables and delivers unmatched BI performance and limitless scalability for HR. Run real-time SQL queries on any data source. Create data sets and share them between teams and analytics tools.

What would be the cost?

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

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