Build delta lake on S3, Blob, Google Storage and get
continuous intelligence

Adopt a sophisticated way for building your delta lake on S3, Blob and Google Storage, and optimize for cost and performance while running big data analytics, artificial intelligence (AI) and machine learning (ML). Automatically sync your data inside delta Lake where you further transform it with SQL.

Eliminate the complexity with Lyftrondata's simplicity

Velocity 2000+

Data Warehouse Parallel Queries

Speed
75%

Faster Results To Insights

Cost
60%

Reduction In Cost

Time
200X

Faster Implementation

Density
100X

Faster
Migration

Simplicity
1500X

Faster
Learning

What you get

Query with familiar ANSI SQL

Avoid writing lengthy codes, use simple SQL to query any data. Lyftrondata architecture supports automatic zero code JSON/XML/API parsing to relational format and allows users to analyze instantly with ANSI.

Simplify data ingestion on S3

Ensure secured streaming of data from varied sources on S3, ensuring your delta lake is always optimized and irrigated with the most recent data sets.

Data storage on S3 for lifelong

Forget all the traditional storage hassles, and think only about storing your data, both raw or Parquet/ORC files, on S3 and make it consumption-ready by applying industry best practices.

Quickly apply complex joins

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

Faster query performance

Load the data in S3 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.

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.

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

Ingest your data on S3 in a fraction of minutes

Simply ingest all your data on S3 and be up and moving in minutes. Without any help from developers, Lyftrondata 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.

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Empower your analytics with simple, codeless, automated API relational data models

Once the data is ingested, you could easily normalize it from any non relational format to relational format. Lyftrondata 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.

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Built for the agile data culture for your data

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.

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.

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Analyze your data from any Else, connect with your data warehouse

Transform or filter the data using SQL that is pushed down to target. Enable a true Extract-Load- Transform to avoid extra data copies.

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.

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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.

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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 simply onboard your consumers to the Lyftrondata platform in just a few minutes.

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.

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Lyftrondata - warehouse integration architecture

Ingest

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 like S3, Blob, Salesforce, Marketo, Shopify, Oracle, and more.

Delta Lake

The layer of Lyftrondata automates labor-intensive data engineering work. Users could effortlessly build data pipelines in a fraction of minutes by using a visual interface and SQL.

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 EMRand Azure HD Insights. It is meant to process voluminous data effectively and efficiently at lightning speed.

Metadata

Under the covers of the compute 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.

Business benefits of Lyftrondata's delta lake

Ensure Ddata accuracy

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.

Advanced Collaboration

Rapid changes to data sets are always welcome and easy to manage in Lyftrondata. Designed for full content reuse and sharing, Lyftrondata allows for easy propagation of changes that take place among different users and systems.

Secure your sensitive data with our encryption functions

Self-service data sharing

This allows different users to access data from different regions in a data hub. With Lyftrondata’s robust and secure data sharing 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.

Easily auto-extract JSON, XML schemas into relational format

Data protection

The governance framework of Lyftrondata validates and enhances the quality of data and is designed to protect the data from misuse. These capabilities ensure data is up to date, accessible, and eventually removed at appropriate points in its lifecycle.

Data accessibility and rights

With a centralized data governance model, control who can access what data. Secure your data to prevent users from seeing forbidden information. Lyftrondata gives analysts all the data discovery functionality they want, and IT administrators the governance they need.

An inside look of Lyftrondata columnar pipeline

Real Time
Sync

Advanced
Security

Built-In Apache
Spark

Simple Interface-No Code 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

Lyftrondata easy-to-implement transformation functions supported for

Aggregate

Analytical

Azure Cognitive AI

Date & Time

Expression

Math

Metadata

Ranking

String

System

Data Parsing

Tabular

Emulation delivers compatibility with the following SQL Server features:

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.

Easily build end-to-end data pipelines for breakthrough results

Book a Meeting Request Free Trial

Build delta lake on S3, Blob, Google Storage and get continuous intelligence

Build high performing delta lake on S3, Blob and Google Storage

Eliminate the complexity with Lyftrondata's simplicity

Velocity 2000+

Speed 75%

Cost 60%

Time 200X

Density 100X

Simplicity 1500X

What you get

Query with familiar ANSI SQL

Simplify data ingestion on S3

Data storage on S3 for lifelong

Quickly apply complex joins

Faster query performance

Unlimited cloud compute

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

Connect

Normalize

Analyze

Warehouse

Visualize

Data sharing

Ingest your data on S3 in a fraction of minutes

Business Analyst

Empower your analytics with simple, codeless, automated API relational data models

Data Analyst

Built for the agile data culture for your data

Data Architect

Analyze your data from any Else, connect with your data warehouse

ETL Developer

Analyze your data from any BI/ML tools

BI Analyst

Data sharing is data caring

Our agile team

Lyftrondata - warehouse integration architecture

Ingest

Delta Lake

Storage

Compute

Metadata

Security

Visualize

Business benefits of Lyftrondata's delta lake

Ensure Ddata accuracy

Advanced Collaboration

Self-service data sharing

Data protection

Data accessibility and rights

An inside look of Lyftrondata columnar pipeline

Lyftrondata easy-to-implement transformation functions supported for

Emulation delivers compatibility with the following SQL Server features:

Easily build end-to-end data pipelines for breakthrough results

Build delta lake on S3, Blob, Google Storage and get
continuous intelligence

Build high performing delta lake on
S3, Blob and Google Storage

Speed
75%

Cost
60%

Time
200X

Density
100X

Simplicity
1500X