Lyftrondata is HIPAA compliant, considered an industry leader, and ranked #1 in customer satisfaction
Very nice tool for data lineage and data integration projects
Lyftrondata is very good tool for ETL platform as it has got the capability to ingest both structured (flat files, tables etc) , unstructured social media data and bring it in its clusters.From there onwards we can query and validate the data using ANSI SQL queries and then distribute or load the data as per our requirement.
Ultimate platform for logical data warehousing and Teradata migration to Snowflake
I worked on various ETL tools like Informatica, ssis,Datastage and all these tools require you to code your ETL jobs manually whereas in case of Lyftrondata you can build jobs and move the data instantly in few clicks and also utilize lyftron data hub caching power to store the data on Lyftrondata so, data is available instantly without worrying about querying again from the sources.
Brand new technology! It is the next-generation Data Management Platform/Hub!
Lyftrondata is an amazing new technology and will replace traditional ETL tools as we have known them the last 10 years. We have designed and developed Lyftrondata, a brand new product that turns your Data Warehouse database into a true Data Hub. Lyftrondata is a modern data management platform that shortens the time to access data by 75%.
Creative and Innovative technology that simplifies and automates. Unique and Relevant
Lyftrondata solves the problem and streamlines modern data pipelines for Snowflake and Redshift. Easy to use, easy to implement. Enables speed and efficiency. Reliable and reduces risk for the enterprise.
Ground Breaking Stuff
It is right on spot for our data hub needs.One can connect to any data source on the planet.The solution is so comprehensive that it makes rest of integrations redundant.
S3 Data Lake for Sales & Marketing Analytics
Lyftrondata was impressively successful in auto replicating and normalizing data from API sources like Shopify, Marketo, Piwik, Retention Science, Facebook, Twitter, Google Sheet, Google Analytics and Elastic Search, Oracle into Amazon S3. It also provided our business with secure advanced encryption. Automated data type mapping.
Great platform for managing data
Through Cloud technology, we partners can have full visibility of data. This helped us to boost collaboration.
Best Tool for Hybrid Cloud Management
It helps us resolve our pain point of hybrid cloud management as we wanted to go with Snowflake but some data on premise also for some time. After opting for snowflake cloud based data warehouse with Lyftrondata. It massively helped us to resolve all the issues we facing earlier with traditional way of data management.
Best Data Hub Platform for Snowflake, Redshift & Bigquery
Legacy database migrations from Oracle, existing data lake on Hadoop to S3 and then gradually moved to Snowflake to build the data vault. We did some small POC on how to segment the tables with tags and it comes handy based on our use case as now our application developer and users can search the tables, fields and databases that they are working on in few clicks.
Lyftrondata – Takes away some of the complexities of ETL
The ability to view data from several different sources without having to worry about the complexities of knowing the correct SQL/NOSQL syntax.
Lyftrondata is a very good tool for Cloud migration
Its prebuilt connectors, the ease of creating pipeline by just few clicks. Tagging feature under business terms in very thoughtful and effective to pull the data instantly. The interface is extremely easy to use and requires no coding at all
Best tool to eliminate bottleneck of ETL/ELT
Lyftrondata has exceptionally well planned engineering. It provided us with every possible solution we could have not thought using ETL. Lyftrondata connects to data sources and imports metadata. It also provides real time data just by registering essential data sets in Catalog.
Good tool for data management
Lyftrondata is truly modern data hub as data is transformed, loaded and standardized by storing the data once and utilizing memory computation. As security of data is the top most priority, Lyftrondata makes sure by not compromising this aspect of their clients by assigning security levels to all users and allow them to access the relevant data.
Best tool for loading data to Google Bigquery Data Warehouse
Lyftrondata helped to simplify data loading to Google Bigquery data warehouse. It acts as a data layer for our Business Intelligence tool. We are able to find data sets across all data sources, Data warehouse and data lake in one place. Which made it convenient to locate desired data without any delays.
Best ELT tool for Snowflake data warehouse & data catalog
Loading and analyzing 200TB on data on each load into snowflake data warehouse was made so easy by Lyftrondata one click bulk loader. Lyftrondata ELT helped us to store and analyze data and made easy to amass all the difficulties associated with delivering analytics by building data pipeline automatically and now we can cross join many sources with simple ANSI Sql platform which was not possible with the ETL tool we were using. As we first need to unload the data into the database before doing the join.
Good tool for data management
Lyftrondata is truly modern data hub as data is transformed, loaded and standardized by storing the data once and utilizing memory computation. As security of data is the top most priority, Lyftrondata makes sure by not compromising this aspect of their clients by assigning security levels to all users and allow them to access the relevant data.
Instant logical data warehousing with collaborative data-modelling capabilities
We achieved unrestrained access to very popular data sources and never encountered data lags. Lyftrondata gave us a smart data replication experience, thus opening doors for complex analytics and advanced reports to our team.
Great Product
No ETL/ELT needed anymore. Cost is fairly easy to project and allocate. Lyftrondata enable you to connect with 100+ data sources and query them as a simple ANSI Sql.
Lyftrondata Review
Lyftrondata is a good product to build data hub in the cloud and transform data from Salesforce, Facebook, google, marketo platforms and able to analyze it instantly with sql. I loved this tool as it doesn’t require any coding and as a business analyst it helps me a lot as I can query data from api based sources without worrying about coding.
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Lights on Data Modernization Podcast
Hear from data leaders how they leverage the modern data pipeline to connect, normalize, analyze and share data to drive business growth, fuel innovation, and disrupt their enterprises.
Make better, quicker business decisions with Lyftrondata's simple, agile steps
Whether you want to build a governed delta lake, data warehouse, or simply want to migrate from your traditional database to a modern cloud data warehouse, do it all with Lyftrondata.
Simply create and manage all of your data workloads on one platform by automatically building your pipeline and warehouse. Analyze it instantly with ANSI SQL, BI/ML tools, and share it without worrying about writing any custom code. Boost the productivity of your data professionals and shorten your time to value. Lyftrondata helps to automatically normalize API/JSON/XML/S3/Blob/NoSql sources into ready-to-query relational format.
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Connect
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Data Sharing
Integrate your data from 150+ sources instantly
Register over 150+ types of data sources in one place. Choose the most valuable data source and replicate it to the cloud.
Business Analyst
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
Built for the agile data culture
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.
| User-id | Order-id | Amount | Currency | Fee |
|---|---|---|---|---|
| 1 | 187453 | $20 | $ | $123 |
Data Architect
I am able to do the architecture and requirement gathering by simply writing ANSI Sql queries for API sources, which used to be 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
Analyze your data from any BI/ML tools
Create a canonical data model that is shared between BI tools. Build a shared data catalog of valuable data sources.
BI Analyst
I have a better response from the BI reports and am able to connect with API/Json/XML based sources in just a few 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 codings and drive data-driven insights. This data sharing ability is perfect for companies that 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. 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
Integrate your data from 150+ sources instantly
Register over 150+ types of data sources in one place. Choose the most valuable data source and replicate it to the cloud.
Business Analyst
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
Built for the agile data culture
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.
| User-id | Order-id | Amount | Currency | Fee |
|---|---|---|---|---|
| 1 | 187453 | $20 | $ | $123 |
Data Architect
I am able to do the architecture and requirement gathering by simply writing ANSI Sql queries for API sources, which used to be 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
Analyze your data from any BI/ML tools
Create a canonical data model that is shared between BI tools. Build a shared data catalog of valuable data sources.
BI Analyst
I have a better response from the BI reports and am able to connect with API/Json/XML based sources in just a few clicks.
Analyze your data from any BI/ML tools
Create a canonical data model that is shared between BI tools. Build a shared data catalog of valuable data sources.
BI Analyst
I have a better response from the BI reports and am able to connect with API/Json/XML based sources in just a few clicks.
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Lyftrondata Modern Data Hub
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