The ultimate warehouse for unbeatable security, insights, and confidence

The new Lyftrondata Warehouse brings the full power and confidence of next-gen warehouse to 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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Overview How it Works Features Process Architecture Integration Architecture What You Get Benefits FAQ Other Products

Next-generation data warehouse built for performance and advanced analytics

Lyftrondata Warehouse handles today’s data challenges and enables enterprises to stay on 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 it with familiar SQL and collect it in favorite BI tools for instant insights, all of this with zero coding absolutely.

With Lyftrondata Warehouse’s agile-based infrastructure, you could build huge applications easily and ensure end-to-end meta-data management for data warehousing initiatives. Lyftrondata 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 Lyftrondata's simplicity

Velocity

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Data Warehouse Parallel Queries

Speed

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Faster Results to Insights

Cost

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Reduction in cost

Time

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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 Lyftrondata Warehouse. The Logical Data Warehouse layer of Lyftrondata provides parallel access to both Lyftrondata Warehouses and all data sources in one place. The self-service data management portal empowers data-savvy users in their routine tasks.

Migrate in few click

Use bulk loading and migrate either as a single Lift-Shift-Modernize operation or as a staged approach.

Access all data instantly

Create a Virtual Data Warehouse and query all data in one place, in real-time or using cached data.

Empower data users

Let data analysts and data scientists find and manage their data sets. Create a global data catalog of all valuable data sources.

Business benefits of Lyftrondata warehouse

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

Lyftrondata’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 150+ types of data sources in one place. Choose the most valuable data source and replicate it to the cloud.

Slack

Shopify

Slaesforce

Quickbook

Hubspot

REST

Youtube

Service Now

Google Analytics

Paypal

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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 get the best from your data and can query the non-relational sources like API/JSON/XML with simple 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 enable any non-technical person to analyze the data from API, without worrying about coding. Simply 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 API sources, which used to be taboos for me.

Load your data into Lyftrondata warehouse or lake. Else, connect with your data warehouse

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

Lyftrondata

Snowflake

Lyftrondata

SQL Synapse

Lyftrondata

DataBricks

Oracle

Teradata

Postgres SQL

MYSQL Server

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ETL Developer

I am able to build my data pipeline in a 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.

Looker

Thoughtspot

Tableau

Google Data Studio

PowerBi

Periscope Data

AWA Quicksight

SSRS

Charito

MS-Excel

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BI Analyst

I have a better response from the BI reports and am able to connect with API/Json/XML based sources in just a few 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 codings and drive data-driven insights. This data sharing ability is perfect for companies that 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. Say goodbye to the complex API, FTP, and Email manual data sharing processes and simply onboard your consumers to the Lyftrondata platform in just a few minutes.

Finance

Marketing

Health Care

Advertising

Media

Insurance

Telecom

Pharma

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 Lyftrondata on your data in a live Demo

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

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Warehouse Architecture
Lyftrondata - 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 Lyftrondata, 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, Lyftrondata possesses metadata that works to improve the overall performance capacity. This layer takes care of scheduler, alerts, workflow, data catalog, logs, monitoring, execution plan's and more.
Sharing

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

The innermost 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 the deepest insights.

Lyftrondata - 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 Lyftrondata provides parallel access to both Data Warehouses and all data sources in one place. This supports the 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 the 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, Lyftrondata possesses metadata that 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 Lyftrondata, 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 analyzing, 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 Lyftrondata, 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. Lyftrondata's emulation of Microsoft SQL Server allows any client supporting connectivity to SQL Server to connect to Lyftrondata.

Easily auto-extract JSON, XML schemas into relational format

No need to write any complex API, rest services, JSON, and XML parsing jobs. Lyftrondata takes care of all these, it converts any data into a relational format and 'allows' you to query it with simple ANSI SQL.

Emulation compatibility with SQL Server

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

Secure your sensitive data with our encryption functions

Lyftrondata 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. Lyftrondata 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, Blob 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.

Emulation delivers compatibility with the following SQL Server features:

Lyftrondata 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

Technical benefits

Query Pushdown

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.

Lyftrondata warehouse for everyone

Enterprises

Avoid spending time on data operations and focus more on driving revenue from the best of your data. Lyftrondata 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, Lyftrondata 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. You now have strict control of who accesses your data and at what time.
Architects

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

Developers

Focus only on building the application with a zero coding platform at 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 customer's 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 the technical team.
Finance Analysts

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

FAQ

Why should I choose Lyftrondata Warehouse?

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

How does Lyftrondata integrate logical data warehouse and data virtualization?

Lyftrondata 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.

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

How is data prepared and served through the Lyftrondata model?

Lyftrondata 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 Lyftrondata?

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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