Snowflake - Lyftrondata

Intended, Fabricated and plotted for Snowflake

Go beyond the limitations of data replication and democratize the data management. Add a Logical Data Warehouse across Snowflake, the target Data Warehouse and any other data sources that may be combined with Snowflake.

Lyft, shift and load any data into Snowflake instantly

Lyftrondata is a single powerful modern data solution which eliminates the traditional ETL/ELT bottlenecks with automatic data pipeline that makes data instantly accessible to BI user with the modern cloud compute of Spark & Snowflake.

The agile-based data delivery platform automatically connects with database, loads them in Snowflake and makes the data available in your favorite BI or analytics tool. All transformations are defined in standard SQL, which are pushed down to Snowflake in their native SQL for better performance.

Eliminate the complexity with Lyftrondata's data warehouse simplicity

Velocity

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Parallel Auto Data Warehouse

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Faster Results To Insights

Cost

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Time

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Faster Migration

Density

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Faster business decisions

Simplicity

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Faster learning

Why choose Lyftrondata for Snowflake

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 SQL and load it to Snowflake. Once the data is extracted, you could ingest it to Snowflake or BI tool of your choice with zero coding required. 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."

Built for the agile data culture for your data

Next, analyze massive volumes of this real-time data in visualization tools and get instant answers to your store performance. 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 Snowflake and save thousands of engineering hours and significantly reduce 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 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

Snowflake processing for faster query performance

Lyftrondata allows enterprises to easily process data and incremental changes from multiple sources to Snowflake. With the most cost-effective licensing model, it empowers data analysts with real-time insights and data security through advanced encryption.
Secured and seamless data sharing

Lyftrondata and Snowflake follows best-in-class, standards-based practices to ensure your data and data warehouse security. Lyftrondata enables data masking and encryption to handle your sensitive data.
Lower infrastructure costs

Lyftrondata’s architecture lowers infrastructure costs and reduces network load by eliminating the need for separate staging infrastructure or servers. The platform controls the existing power of DBMS hardware engines, rather than depending on external staging servers & scale with ease.

Codeless development environment and integrated metadata views

Lyftrondata is equipped with the most intuitive and user friendly interface. Within a couple of clicks, you can load, transfer and replicate data to any platforms without any hassle. Do not worry about codes or scripts.
Unlimited cloud compute

Lyftrondata and Snowflake columnar architecture automatically scale to support any amount of data, workloads and concurrent users and applications without requiring data movement, data marts or data copies.
Data integration

Connect 130+ on-premise and cloud data sources and set up continuous data synchronization of selected data to Amazon Redshift, Snowflake, Azure SQL DW or any other database.
Business intelligence at your fingertips

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

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 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.

How to get started with Lyftrondata Team?

Step 1: Assessment & advisory

Start a short Snowflake PoC to find out which workloads would benefit from migration. Our Advisory services enable smooth transition.
Step 2: Data migration & replication consultation

Consult with our experts on how to librate your data from legacy databases with our trusted cloud migration solution to Snowflake. We help you migrate from Netezza, Teradata, Redshift etc.
Step 3: Modern data architecture support

Get an endless support from our expert 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 new Snowflake 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 modern data warehouse which enables swift transition to your team.

Usecases

FAQ

How Lyftrondata Works With Snowflake Data Warehouse?

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

Lyftrondata Pipeline manages connections to data sources and load data to Snowflake. All transformations are defined in standard SQL and pushed down to data sources and Snowflake.

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

How is the data prepared for Snowflake migration?

Avoid needless delay in data preparation. Define virtual data sets on source data. Verify and load to Snowflake 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.

Any specific skillset required for Snowflake migration?

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

How is the data loaded in Snowflake?

Lyftrondata takes a unique approach to load data into Snowflake by utilizing the new data streaming API available in Snowflake. 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 Snowflake. The data is loaded without any delays and without the need to manage any space for temporary files.

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

Do I need to generate API for integration?

Not at all! Lyftrondata prebuilt connectors automatically convert JSON, XML, API to normalized structure and provides ready-to-query schemas and full search on data catalog.

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 Snowflake users. Run real-time SQL queries on any data source. Create data sets and share them between teams and analytics tools.

How much time does it take to generate the dashboards in visualization tools?

The whole process right from the integration to produce actionable insights, happens in less than 4 minutes- promising a time optimization by 75%.

How does Lyftrondata promise secure access to my data like passwords, bank details, and more?

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.

Could I expect a consolidated dashboard produced from different data points?

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

What would be the process of data search in Lyftrondata?

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 transforms messy and unstructured data to facilitate and enhance their analysis.

How does Lyftrondata integrate logical data warehouse and data virtualization?

Lyftrondata modern data hub offers logical data warehouse where data is stored once and utilize the memory compute for transformation, loading and standardization. Data virtualization offer store users a single interface — often based on SQL — 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 allow Snowflake users to integrate data on the fly.

Which all big data and cloud data warehouse could I use beside Snowflake?

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

How is the migration governed in Lyftrondata?

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.

What would be the cost?

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

Would I have to write a manual data pipeline with Lyftrondata?

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

Do I have to write a custom Rest job to connect with my API?

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.

Do we need to create our own star schema and BI dashboard?

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

Does Lyftrondata provides the pre-built pipelines from Snowflake to Stage & Stage to Data warehouse?

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

I keep on building data stores and data lakes which are resulting in data silos. How can Lyftrondata help me?

Lyftrondata will provide you with automatic data lineage and tag-based search which will populate our data catalog engine. So, anybody like business users, data analysts or engineers can search all their objects with ease.

I have some custom JSON, do I need to convert them manually?

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 [Snowflake_GeniusMinds].[Snowflake].[Orders]) as orders

I don't want to give access to my data and pipelines to other users, how would Lyftrondata help me?

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 the access on pipeline, database, table or column.

Do I need to write custom pipeline to handle my incremental data?

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

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