Informatica vs Lyftrondata
Legacy ETL Methods Thing of past!
The very core of data management is rapidly evolving and traditional ETL methods are not being able to support fast changing business needs along with the high on volume data. So are these methods things of the past already? Mostly.YES!
Obsolete ETL are overly complex, diﬃcult to maintain, and costly to extend. As a result, enterprises spend more time, efforts and cost managing their data and at last, end up missing their SLA’s.
To handle such shortcomings, enterprises are opting modern data platforms that are highly flexible and agile in nature.
Uses traditional data pipeline approach which is
Lyftrondata is a modern data platform that provides real-time access to any data and enable users to query them with simple ANSI SQL. With Lyftrondata, enterprises can build data pipeline in minutes and shorten the time to insights by 75% with the power of modern cloud compute of Snowflake and Spark.
The modern data platform eliminates the time spent by engineers building data pipelines manually, and makes data instantly accessible by providing real-time access with simple ANSI SQL. Lyftrondata prebuilt connectors automatically deliver data to warehouses in normalized, ready-to query schemas and provide full search on data catalog.
|Highlights||Old Way||Lyftrondata Way|
Timeframe to build Data Pipelines
Highly time-consuming, 2+Months
Quick, Few Clicks in A Couple of Days
Cost & Efforts
Expensive & high efforts
Cost-effective & minimal efforts
Modifications in Data Pipelines
Unplanned and Troublesome
Fully Automated and Speedy
Big Team of Experts (50+ Resources)
Few Resources (1-10)
Lyftrondata vs Informatica
|Unlimited cloud scalability|
|Modern cloud architecture|
|Data replication and sharing|
|Field level access control|
|Colmnar ETL pipeline|
|Analyze data with ANSI Sql|
|Sensitive data auto encryption|
|Logical data warehousing support|
|Universal data model for agile BI|
|Universal data catalog tag based search|
|Auto datatype conversion|
|Automatic data lineage|
|Auto Json, Xml, API conversion to normalized structure|
|Native Spark & Hadoop clusters integration (like Databricks, EMR, Hd Insights, Hortonworks, Google Hadoop)|
|Native BI tools integration (Like Looker, Tabelau, Power BI, Microstrategy, Domo, SAP BO, Sisense, Thoughtspot)|
|Native ML tools Integration (Like Alteryx, R, Jupyter Notebook)|
|Native Snowflake bulk loading & streaming|
|Data Vault 2.0|
More Reasons to Choose Lyftrondata
90% Faster to implement
Modern Cloud Compute
No ETL/ELT programing is required
Complex data parsing capabilities
Cost-effective data management
Prebuilt normalization templates
Experience the power of the cloud with our modern data ecosystem
Supported data sources
Supported target data warehouses
Supported BI/ML tools
Satisfy your thirst for better data outcomes.
What challenges are you trying to solve?