Difference between Insights and Velocity

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11-29-2022 08:46 AM
kapalczynski
Occasional Contributor III

What are the main differences between ArcGIS Velocity and Insights.  They both appear to work with big data, query, analyze etc.  Just trying to wrap my head around them....Any thoughts would be helpful

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LindaBeale
Esri Contributor
Mr. Kapalczynski,

What are the main differences between ArcGIS Velocity and Insights. They both appear to work with big data, query, analyze etc. Just trying to wrap my head around them....Any thoughts would be helpful
ArcGIS Insights is a user facing application that can connect to a number of data sources, external and internal to the Esri ecosystem, standardize the schema, create an analytical workflow and ultimately create a number of information products from it. Its main capabilities is the ability to execute analysis on non-spatial data such as numeric or textual data as well as analysis on spatial data and create a sharable output. Data sources supported are: Sharepoint, One Drive, PostgreSQL, SQL Server, Oracle, Snowflake, Big Query, Redshift, SAP Hana, Geopandas, Koalas, Apache Spark, any Geodatabase deployment, Map and Feature Services or any data source with a JDBC driver which a user could install into the software.
ArcGIS Velocity is a real-time (event-based) and batch processing environment that can parse spatial data from data sources external to the Esri ecosystem, provide a spark-based analytical environment and egress the result as a Feature Service which than can be used in any number of Esri user facing applications. Data sources supported are: any Esri Feature layer, S3, Azure Blob Storage, Azure CosmosDB, HTTP Poller, RSS

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LindaBeale
Esri Contributor
Mr. Kapalczynski,

What are the main differences between ArcGIS Velocity and Insights. They both appear to work with big data, query, analyze etc. Just trying to wrap my head around them....Any thoughts would be helpful
ArcGIS Insights is a user facing application that can connect to a number of data sources, external and internal to the Esri ecosystem, standardize the schema, create an analytical workflow and ultimately create a number of information products from it. Its main capabilities is the ability to execute analysis on non-spatial data such as numeric or textual data as well as analysis on spatial data and create a sharable output. Data sources supported are: Sharepoint, One Drive, PostgreSQL, SQL Server, Oracle, Snowflake, Big Query, Redshift, SAP Hana, Geopandas, Koalas, Apache Spark, any Geodatabase deployment, Map and Feature Services or any data source with a JDBC driver which a user could install into the software.
ArcGIS Velocity is a real-time (event-based) and batch processing environment that can parse spatial data from data sources external to the Esri ecosystem, provide a spark-based analytical environment and egress the result as a Feature Service which than can be used in any number of Esri user facing applications. Data sources supported are: any Esri Feature layer, S3, Azure Blob Storage, Azure CosmosDB, HTTP Poller, RSS
kapalczynski
Occasional Contributor III

Thank you @LindaBeale 

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