Data Sources

  • AdabasDB
  • Cache
  • Centura SqlBase
  • Composite
  • DB2
  • Derby
  • Greenplum
  • Hana
  • Informix
  • MS Access
  • MS SQL Server
  • MySQL
  • Netezza
  • Oracle
  • Pervasive PSQL
  • PostgreSQL
  • Progress
  • Redshift
  • Snowflake
  • Sybase
  • Sybase IQ
  • Teradata
  • Tibero
  • ArangoDB
  • Azure Hive
  • Cassandra
  • Cosmos DB
  • Couchbase
  • DynamoDB
  • GemFire
  • Hbase
  • Hive
  • Impala
  • MarkLogic
  • MongoDB
  • Snowflake
  • Vertica
  • Infinitegraph
  • Neo4J Graph
  • Orientgraph
  • Titan Graph
  • AWS Athena
  • Azure Hive
  • Cosmos DB
  • DynamoDB
  • Google BigQuery
  • Redshift
  • Salesforce
  • Snowflake
  • DB2 on AS400
  • DB2 on Z/OS
  • Informatica ETL
  • Talend
  • Kafka (AVRO & XML)
  • SAP
  • Salesforce
  • Amazon S3
  • Azure Blob Storage
  • Azure Data Lake Store
  • HDFS
  • Lotus Domino
  • NFS
  • NTFS
  • SharePoint
  • Access (.MDB)
  • Access 2007 Database File (.ACCDB)
  • Adobe PDF (.PDF)
  • Avro File (.AVRO)
  • C# Source Code File (.CS)
  • C/C++ Source Code File (.C)
  • C++ Source Code File (.CC)
  • C++ Source Code File (.CPP)
  • Cobol Copybook (.CBL)
  • Comma Delimited (.CSV, .TXT)
  • EBCDIC Files
  • Excel (.XLS)
  • Excel Open XML Document (.XLSX)
  • Hypertext Markup Language Files (.HTML, HTM)
  • Hypertext Preprocessor File (.PHP)
  • Java Server Page (.JSP)
  • Java Source Code File (.JAVA)
  • JSON (.JSON)
  • Lotus Domino Files
  • Outlook Files
  • Parquet File (.PARQUET)
  • Performance Log Files (.PERF)
  • Pipe Delimited (.TXT)
  • PowerPoint (.PPT)
  • PowerPoint Open XML Document (.PPTX)
  • Python Script File (.PY)
  • Rich Text Format (.RTF)
  • SAS Data File (.SAS7BDAT)
  • SOH Delimited (.DAT)
  • SQL Files
  • Tab Delimited (.TAB, TSV, TXT)
  • Tableau Workbook
  • Text File and Flat File (.TXT)
  • Tilde Delimited (.DLM)
  • VBScript File (.VB)
  • WebTrends Log (.LOG)
  • WebTrends Log (.TXT)
  • Word (.DOC)
  • Word Open XML Document (.DOCX)
  • XML (.XML)
  • XSD Files
The auto-discovery of data and its profiling is a miracle. The Machine Learning Algorithms for the data profiling are well executed. The overall workflow of the tool is exceptional and well thought out.

CDO, Manufacturing

The automation of metadata collection. It is impossible to gather this information manually, and a wide range of metadata is needed to make sense of any data environment. Global IDs delivers the complete picture that is needed.

President, Banking

The Global IDs team is willing to go the extra mile in order to ensure that their product is among the best in terms of data quality and management.

Data Governance Specialist, Banking

My favorite aspect of Global Ids is the company itself. The leadership of Global Ids has demonstrated to me that it cares greatly about my success in using the product and ensuring I am getting the right value to help my company in meetings its goals

Data Governance Lead, Finance

The support team makes all of the difference. They’re always willing to work with you to create whatever you feel like is missing or needs to be tweaked to provide a better end-user experience

Data Governance Lead, Banking

The company has a passion for adding new product features that are needed for modern metadata management, and they strive to truly understand the needs of their customers. The technical depth of the product provides confidence in its applicability and use. Overall, it is the ecosystem approach that really sets Global Ids apart from the competition.

President, Banking

Want to see exactly what Global IDs can do for your organization?