Automate metadata harvesting and ingestion of data in motion and complex data-at-rest sources through an extensive library of data connectors to industry-standard DBMS, ETL/ELT platforms and BI/reporting applications.
Better guide decisions, impact analysis and data governance by providing the most complete, current and unified view of your data architecture – inclusive of data sources, flows, transformations and targets.
Automatically generate SQL, ETL and 4GL procedural code by forward-engineering mapping documents to eliminate time-consuming hand-coding, speed project delivery, and ensure code quality.
Increase the speed of data migration and ETL modernization projects by forward- and reverse-engineering the associated re-platforming processes.
Cut project timelines and efficiently deliver, document and operate data vaults or other traditionally complex data architectures and data warehouse methodologies.
Backed by the robust parsing, code generation and metadata activation capabilities of erwin’s proprietary automation framework, erwin Smart Data Connectors can be developed for even the most challenging environment.
Make data analysts more productive in analyzing BI reports, document dashboards and mappings by linking reporting fields to the underlying data sources.
Synchronize and harmonize data management and governance processes with third-party tools at the API level, reducing ongoing maintenance and ensuring sustainability.
Here’s the reality: there’s not enough time, people and money for true metadata management or sustainable data governance using manual processes. Without automation, business and digital transformation will be stymied, but having to outsource these efforts to professional services firms will only delay schedules and increase costs.
With erwin Smart Data Connectors, your organization can reduce errors and accelerate data preparation, deployment, literacy and governance. Only erwin unifies every piece of the data management and governance lifecycle so enterprises can understand and trust their data for faster speed to insights.
Automate data operations with software suited to your needs. Forget expensive, outsourced professional services.
Achieve productivity gains of 85%+ for coding, 70%+ for metadata discovery, up to 50% for data design, up to 70% for data conversion, and up to 80% for data mapping.
erwin data connectors are 100% developed and maintained by erwin, backed by deep metadata activation expertise that has guided hundreds of customers to success.
Rely on the broadest range of metadata connectors available to fully capture your “as-is” data architecture inclusive of data sources, dataflows, transformations and data targets.
Keep data lineage and mind map documentation current with advanced scheduling of automated metadata harvesting, with granular version control and full traceability.
Automate and activate metadata-driven processes to develop, document and operate data pipelines more efficiently for faster time to value.
Standardize approach, code, documentation and delivery to assure quality and leverage and retain tribal knowledge despite staffing changes.
Leverage erwin automation and expertise to successfully tackle sophisticated development projects, such as delivery and operation of a Data Vault.
erwin Data Modeler
Idera Embarcadero ER/Studio
OMG.CWM.XML
SAP/Sybase Power Designer
Amazon Redshift
Cloudera
Google Big Query
Greenplum
HortonWorks
HP Vertica
IBM DB2 and DB2 on mainframe
IBM Netezza
JDBC (any software using a JDBC driver)
Kafka Topics
Microsoft Access
Microsoft SQL Server
MongoDB
MySQL
Oracle and Oracle Exadata
Pervasive
Rocket UniVerse DB
SAP Sybase
Service Now CMDB
Snowflake
Teradata
Amazon S3
AVRO
Cobol Copybooks
CSV
Gzip
JSON Schema
Microsoft Azure Data Lake (Gen 1/Gen 2)
ORC
Parquet
Snappy Parquet
XSD/XMI
JD Edwards
Microsoft Dynamics AX
Microsoft Dynamics CRM
Oracle EBS
PeopleSoft
Salesforce
SAP
SAP BW
Category
Reverse-engineering
Forward-engineering
Alteryx
Amazon Aurora SQL
Amazon Kenesis
Amazon Redshift SQL
Databricks [Spark SQL]
DBT
Denodo
Google Big Query SQL
HiveQL
IBM Data Stage
Impala
Informatica ICS
Informatica PowerCenter
Matillion
Microsoft Azure Data Factory
Microsoft Azure SQL Database
Microsoft Azure Synapse SQL
Microsoft SQL Analytics Platform System
Microsoft SQL Server Integration Services (SSIS)
Microsoft SQL Server TSQL
Oracle Data Integrator
Oracle PL/SQL
Oracle Warehouse Builder
Pentaho Data Integrator
PostgresSQL
Qlik Replicate
SAS Data Integrator
SAP Data Services
Snaplogic
Snowflake SQL
Talend
Teradata SQL
WebFocus
Category
Reverse-engineering
Forward-engineering
Cognos
Information Builders Web Focus
Looker
Microsoft Power BI
Microsoft SQL Server Analytics Services(SSAS)
Microsoft SQL Server Reporting Services (SSRS)
MicroStrategy
Oracle OBIEE
Pyramid Analytics
QlikView
QlikSense
SAP Business Objects
Tableau
Category
Reverse-engineering
Forward-engineering
AWS Glue
Databricks [PySpark]
R Markdown
Category
Reverse-engineering
Forward-engineering
Apache Atlas
AWS Glue Catalog
Collibra
Databricks Unity Catalog
Elastic Search
GIT Hub
Google Big Query Catalog
IBM Information Governance Catalog
Jira
Microsoft Azure Data Catalog
Microsoft Purview
Mulesoft
Category
Reverse-engineering
Forward-engineering
Data Vault 2.0