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.
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 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
Business benefits of the Lyftrondata warehouse
Zero coding
No more code or script hassles to handle. Within a few clicks, load your data into the warehouse with the most intuitive and user-friendly interface
Safe and reliable data sharing
Experience state-of-the-art data security following standards-based practices. Handling sensitive data is handled by our warehouse, enabling data masking and encryption
Infinite cloud compute
Support any amount of data, applications, and workloads without the need for data movement, data copies, or data marts with Lyftrondata’s columnar architecture
Real-time insights with ANSI SQL
Leverage SQL to query any structured or unstructured data. Analyze instantly with ANSI as our warehouse supports zero code JSON/XML/API parsing to relational format
Quicker query performance
Streamline the loading process to avoid delays and worry about data structure. Load data from a data source, apply data transformations as SQL expressions, and stream directly into the warehouse
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.
From data to analytics, in a matter of seconds
Integrate your data from 300+ other sources
Register over 300+ types of data sources in one place. Choose the most valuable data source and replicate it to the cloud.
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 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.
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.
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 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.
Lyftrondata warehouse architecture
Services
Streamline data management to federate data, handle secured transactions, and optimize the complete data transformation process. The outermost layer helps process huge amounts of data faster for unmatched performance.
Security
Handle security and encryption key management at this layer, also known as the heart of Lyftrondata. It holds the functions of encryption, masking, tagging, access rights, and role management
Metadata
Improve the overall performance capacity with Lyftron under the security cover layer. The layer encompasses functions to take care of alerts, data catalogs, schedulers, logs, workflows, monitoring, and execution plans, along with more.
Sharing
Be assured of the secured and governed data sharing functionality at this fourth layer for all the users. It ensures data sets can be shared internally, between different groups of employees, and also be exported to external commodities without the implementation of a sharing tool
Compute
Optimize processes and better load performance at this layer with a push down on inbuilt Spark, AWS EMR, Azure HD Insights, Databricks, Snowflake, and more. It is designed for processing huge amounts of data quickly and efficiently
Storage
Store data effectively and securely at the innermost layer. By integrating the most up-to-date data sets with your existing data, you can gain valuable insights into your business
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.
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.
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.
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.
FAQs
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 hello@lyftrondata.com for details related to pricing.
Solve your data crunch with Lyftrondata Warehouse
