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titleINFO

Datameer X supports the following types of structured, semi-structured, and unstructured data types and sources when importing and exporting.

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Database NameDescription
Amazon Athena
  • a query service to run Sql queries against their data
Amazon Redshift
  • a quick, scalable data warehouse as a service from the cloud
Azure Cosmos DB
  • a fully managed NoSQL database service
Azure Databricks
  • an Apache Spark based analytics service with an interactive workspace
Azure Synapse
  • an unlimited analytics service which enables flexible data queries as you see fit, using on-demand server less resources or provisioned resources at scale
DB2
  • IBM's relational database management system
Greenplum
  • an open-source massively parallel processing (MPP) database
HSQL_file
  • a lightweight, 100% Java SQL Database Engine.
MSSQL
  • a relational database based on structured query language
MySQL
  • a relational database based on structured query language
Netezza
  • a column-oriented database management system
Oracle
  • a relational database management system designed for grid computing inclusive CLOB support for importing data
PostgreSQL
  • an object-relational database management system (ORDBMS)
Sybase IQ
  • a column-based, relational database software
Teradata Aster
  • a relational database based on structured query language
Vertica 5.1+
  • a grid-based and column-oriented analytic database software

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Info

Datameer X is able to split large files across multiple mappers enabling parallel data ingestion. Two requirements must be fulfilled for this to be possible.

  1. Splitting of the file protocol must be supported. Currently splitting all of the above protocols is supported.
  2. Splitting of the compression type must be supported. Currently LZO and Gzip are splittable, zip and Bz2 aren't supported.

See Importing Data for more information.

Supported Other External Connectors 

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