Secured data sharing and
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.

Do more with your data, collaborate
across your business

Organizations are actively exploring new options to share their data securely and effectively with different users, internal teams and different organizations, if needed. Enable governance for customers, suppliers, partners and employees to improve collaboration with secure and governed access to all your available data. Lyftrondata Sharing enables you to securely share data without having to copy or move data.

Lyftrondata’s data sharing framework is built on top of the secured data governance technology, so the data doesn’t move, which eliminates the cost, headache, and delays associated with legacy data sharing methods that deliver only slices of stale data. With Lyftrondata, create immediate insights and additional business value, while improving your data governance.

Lyftrondata modern architecture provides row and column level access security to the users making it easier, and more secure than ever before, to share your data without writing any single piece of code. With Lyftrondata’s robust and secure framework, 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.

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

Turn your data into the
fuel of success

Query API data with SQL familiar syntax
An instant and secured access

Lyftrondata ensures secured and governed data sharing to all the consumers in minutes. Data enthusiasts can share live data instantly without delays and much effort.

Emulation compatibility with SQL Server
Internal and external sharing

A data set could be shared internally, between different operating groups, and could also be easily transported to the external commodities, thus eliminating the need to implement a sharing tool.

Secure your sensitive data with our encryption functions
Monetize your real-time data

Lyftrondata empowers users to view live data instantly with the consumers to ensure they remain up-to-date and combine it with their existing data to get the deepest insights possible.

Easily auto-extract JSON, XML schemas into relational format
Improve agility

Enable faster insights and better collaboration across the departments and partner organizations by empowering your customers, employees, consumers, and suppliers with secured data sharing.

Perform complex transformations
Better security & governance

Control the security and access of your data at the column and row level. Lyftrondata enables robust security for data sharing by enabling access control at the pipeline, database, table, column and schema levels.

Quickly apply complex joins
Faster go-to market

Lyftrondata empowers enterprises to share the data without writing any code or setting any infrastructure. Eliminate traditional data sharing method's complexity with Lyftrondata's simplicity.

Business benefits of Lyftrondata hub

Real-time analytics
Real-time analytics

Query all data sources with simulated Transact-SQL. Get real-time data from data warehouses or source systems during prototyping and data modeling.

>Global data catalog
Global data catalog

Describe all essential data sources and data sets in the data catalog. Use the self-service interface to find the right data.

Smart data pre-aggregation
Smart data pre-aggregation

Accelerate slow queries by materializing their results. Define pre-aggregates with joins, groupings and filtering that are 1000x smaller than original data. Turn any data warehouse into a virtual OLAP cube.

Instant in-memory analytics
Instant in-memory analytics

Create a virtual data warehouse without even setting up a target data warehouse. Start with a single node build-in Apache Spark and scale it up to a whole Data Lake after measuring a required cluster size.

Data security
Data security

Transparently apply row-access security and dynamic data masking to any data source. Authenticate with Windows Integrated Security (Kerberos) from SQL Server when using any data source.

Data lineage tracking
Data lineage tracking

Track down all data sets that will be affected by a change to a table or a column. Find out which source tables and columns are used in any data set, even if it is based on multiple other data sets.

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