Matillion vs Lyftrondata
The very core of data management is rapidly evolving and traditional ELT 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 ELT, 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.
Matillion leverages the power of the cloud data warehouse to consolidate large data sets and quickly perform the necessary data transformations that make your data analytics ready.
Matillion Pain Points
Matillion leverages traditional data pipeline approach which are
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|
|Team size||Big Team of experts (50+ resources)||Few resources (1-10)|
Lyftrondata vs Matillion
|Unlimited cloud scalability|
|Modern cloud architecture|
|Unlimited cloud concurrency|
|Robust cloud security|
|Data hub support|
|Field level access control|
|Pipeline execution plan|
|One click database clone|
|ANSI SQL database simulation|
|Colmnar data pipeline|
|Analyze data with ANSI Sql|
|Semantic layer rotating tables|
|Logical data warehousing support|
|Universal data model for agile BI|
|Universal data catalog tag based search|
|Auto datatype conversion|
|Automatic data lineage|
|Dynamic data pipeline|
|Automatic data pipeline|
|Auto Json, Xml, API conversion to normalized structure|
|Source layer data model|
|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|
|One click migration to Snowflake|
|Self service data pipeline|
|Source change notification|
|Full ANSI Sql database query support|
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 BI/ML tools
Scalability and reliability are the key diﬀerentiators for business intelligence applications and traditional solutions fail to oﬀer the.