BUILD AZURE SYNAPSE DATA WAREHOUSE SECURELY AND SWIFTLY
Leverage the full potential of the next-gen cloud data warehouse, Azure Synapse, with the industry’s leading data solution Lyftrondata. Get a managed and cost-effective solution with columnar data storage, massively parallel processing (MPP), efficient integration, and actionable insights.

Load your data into Azure Synapse instantly

Lyftrondata Pipeline manages connections to data sources and loads data to Azure Synapse Data Warehouse. All transformations are defined in standard Synapse and pushed down to data sources and Azure Synapse Data Warehouse. Lyftrondata eliminates traditional ETL/ELT bottlenecks with automatic data pipeline and make data instantly accessible to BI user with the modern cloud compute of Spark & Snowflake.

Lyftrondata connectors automatically convert any source into normalized, ready-to-query relational format and provide search capability on your enterprise data catalog. Lyftrondata shortens data preparation activities by letting data teams create logical data sets first, evaluate the data and delay the data loading until the data sets are verified or data loading is required.

Eliminate the complexity with Lyftrondata's data warehouse simplicity

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Why to choose Lyftrondata for Azure Synapse

  • Data Extraction
  • API Normalization
  • Data Analysis
  • Data Replicate
  • Delta Lake
  • Data Sharing

Integrate your data with Lyftrondata instantly and blend with 150+ other sources

Data extraction with Lyftrondata is easy. 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. "

Empower your analytics with out-of-the-box relational data model

Connect any API, Json, XML and automatically analyze it with ANSI Synapse and load it to Azure Synapse. Once the data is extracted, you could ingest it to the Azure Synapse or BI tool of your choice with zero coding required.
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

Next, analyze massive volumes of this real-time data and get instant answers to your questions. Over 100 integrations empower you to use your favorite tools to map data, build and visualize custom reports and more.
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 your warehouse or lake instantly

Transform your growth metrics by combining your data and your delta automatically. Joining tables, renaming metrics and mathematical calculations result in a deeper and more complex data structure than the raw data.
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."

Load your data into your warehouse or lake instantly

Build delta lake on the Azure Synapse and save thousands of engineering hours and significantly reduce the total cost of ownership. The platform handles all the infrastructure development, empowering users to skip engineering work and go straight to analysis.
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 through APIs 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.
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. "

Features‌

Complex data parsing capabilities

Complex Data Parsing capabilities are built into the tool – Access and parse complex data types including Web logs, JSON and XML files.

Codeless development

Allows users to Integrate all types of data without writing any code through a codeless development environment increasing developer productivity.

High-speed performance

High speed performance – the technology does not work on data row by row like traditional ETL products, but does so in set and bulk operations.

Lower infrastructure costs

Control the existing power of DBMS hardware engines, rather than depending on external staging servers & scale with ease.

Prebuilt transformation templates

Use default templates for common transformations like Star Schema and integration techniques eliminating time spent on tedious tasks.

Comprehensive analytics

Access advanced reports for better insights on your Azure Synapse Database Warehouse data. Get insights across products, channels, customer lifetime value, and more.

Business intelligence at your fingertips

Connect any BI tool using build-in Synapse Server drivers through a fully simulated Synapse Server protocol. Bridge a connection from SaaS BI tools to on-premise data and the on-premise Enterprise Data Warehouse.

Performance and effectiveness

Experience high-speed performance, as Lyftrondata architecture does not process the data row by row, like traditional ETL products, but performs set and bulk operations in a single go.

Secured access

Maintain protected and resiliency against constant cyber threats through our secured Lyftrondata architecture.

Architecture

  • Source

    There is nothing easier than connecting your data from different sources to one source and avoiding complicated tasks of preparing data and setting up complex ETL processes.

  • Warehouse

    The Logical Data Warehouse layer of Lyftrondata 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, Lyftrondata 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 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 to analyze, visualize, and explore the massive volume of data from disparate data sources, empowering users to drive real-time insights for business decisions.

Usecases

How to get started with Lyftrondata team?

  • Step 1: Assessment & advisory

    Start a short Azure Synapse PoC to find out which workloads would benefit from migration. Our Advisory services enable a smooth transition.

  • Step 2: Data migration & replication consultation

    Consult with our experts on how to liberate your data from legacy databases with our trusted cloud migration solution to Azure Synapse. We help you migrate from Netezza, Teradata, etc to Redshift.

  • Step 3: Modern data architecture support

    Get endless support from our experts and modernize data pipelines for real-time data synchronization, using Data Vault 2.0, CDC, ELT to power your next-generation Data Lake.

  • Step 4: Data governance & data quality

    Our solution and experts help accelerate data governance modernization and eliminate data silos that enable true reporting and proper data traceability.

  • Step 5: Analytics acceleration

    Our solution empowers you to adapt the latest Azure Synapse trends which accelerate time to reporting and business application go-to-market.

  • Step 6: Round-the-clock training & support

    Have your staff trained in the new tools and architecture of a modern data warehouse which enables the swift transition to your team.

FAQ

Lyftrondata supports Lyft, Shift and Phase migration approach which enables enterprises to migrate from legacy platforms to Azure Synapse with ease and allows point existing database connection to Lyftrondata. Thereby, Lyftrondata act as an intermediate layer until the migration is fully complete.

Lyftrondata Pipeline manages connections to data sources and loads data toAzure Synapse. All transformations are defined in standard Synapse and pushed down to Azure Synapse.

Lyftrondata connectors automatically convert any source into the normalized, ready-to-query relational format and provide search capability on your enterprise data catalog.

Avoid needless delays in data preparation. Define virtual data sets on source data. Verify and load to Azure Synapse when required. Lyftrondata shortens data preparation activities by letting data teams create logical data sets first, evaluate the data, and delay the data loading until the data sets are verified or data loading is required.

No drivers or new skills are needed to run queries on any data. Fully simulated Transact-Synapse interface (wire compatible with Synapse Server) enables bridged queries to Azure Synapse.

Lyftrondata takes a unique approach to load data into Azure Synapse by utilizing the new data streaming API available in Azure Synapse. Data is loaded from the data source, data transformations are applied on the fly as Synapse expressions and the transformed data is streamed directly to Azure Synapse. The data is loaded without any delays and without the need to manage any space for temporary files.

Additionally, Lyftrondata may push down selected Synapse transformation directly to data sources to reduce the amount of data that must be transferred.

Not at all? Lyftrondata pre-built connectors automatically convert JSON and XML API to normalized structure and provide ready-to-query schemas and full search on data catalog.

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 Azure Synapse users. Run real-time Synapse queries on any data source. Create data sets and share them between teams and analytics tools.
The whole process right from the integration to produce actionable insights happens in less than 4 minutes- promising a time optimization by 75%.

Lyftrondata enables enterprise-level security with a built-in security model and support for standard security frameworks and protocols. Its embedded security system allows data masking, field-level restrictions and architecture that automatically scales up and down.

Yes, absolutely! With Lyftrondata modern data pipeline, you could have an access to all your data points, make analysis simple for all stakeholders, and gain a holistic view of your Ecommerce store without any technical limitations.

Through a governed embeddable data discovery model, users could search, tag, alias, and enrich your data with ease. The powerful agile-based platform enables enterprises to transform messy and unstructured data to facilitate and enhance their analysis.

Lyftrondata modern data hub offers a logical data warehouse where data is stored once and utilizes the memory compute for transformation, loading, and standardization.

Data virtualization offers store users a single interface — often based on Synapse — to access data in multiple places or formats.

Lyftrondata integrates data virtualization, manages the unified 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 allowAzure Synapse users to integrate data on the fly.

Lyftrondata supports all the high performing big data warehouses like Hadoop, Spark, EMR, Azure, HDInsights, Databricks, etc, and next-gen cloud data warehouses like Redshift, Google Big Query and Azure Synapse DW.

Lyftrondata supports Lyft, Shift and Phase migration approach which enables users to rapidly modernize applications, migrate the right workloads, and securely manage their hybrid environment.

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

No, Lyftrondata will help you create Data Pipeline automatically and let you analyze the data instantly with ANSI Synapse and BI tools.

No, Lyftrondata will help you connect with your API and normalize your API JSON output automatically so you can focus on your business and Lyftrondata will take care of the data pipeline.

Lyftrondata is providing out of the box data warehouse star schema design, and BI dashboard for the consumers. So, you can just use our Azure Synapse express solution to build your new analytics platform in no time.

Yes, Lyftrondata will provide pre-built pipelines for Stage as well as Data Warehouse.

Lyftrondata will provide you with automatic data lineage and tags-based search which will populate our data catalog engine. So, anyone like business users, data analysts, or engineers can search all their objects with ease.
No, Lyftrondata allows JSON parsing function so, you can directly use simple select syntax and have your JSON data extracted quickly as shown on
this query here

select JSON_PATH(LineAggregate, ‘$.[0].id’) ,JSON_PATH(LineAggregate, ‘$.[0].variant_id’),
LineAggregate from
(select top 1 * from [Azure Synapse_GeniusMinds].[Azure Synapse].[Orders]) as orders

Lyftrondata will help you ​to automatically create the schema​. It will do the auto​-​merging, auto-sync for your files, and auto​-​ingest into your target data warehouse. There​ i​s​ ​no need for any manual looping process, Lyftrondata​ will read the files from​ ​subdirectories automatically.
Lyftrondata has robust column-level security which will help you choose the access based on roles and user. Only the users you choose will get access to the pipeline, database, table, or column.

No, you are fully covered with the Lyftrondata auto-sync feature which help you choose the delta field, select the frequency and Lyftrondata will take care of the rest.

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