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What is Precisely Connect?

Seamlessly combine data from legacy systems into contemporary cloud and data platforms with a unified solution. Connect allows you to oversee the transition of your data from mainframes to cloud infrastructures. It supports data integration through both batch processing and real-time ingestion, which enhances advanced analytics, broad machine learning applications, and smooth data migration efforts. With a wealth of experience, Connect capitalizes on Precisely's expertise in mainframe sorting and IBM i data security to thrive in the intricate world of data access and integration. The platform ensures that all vital enterprise information is accessible for important business objectives by offering extensive support for diverse data sources and targets, tailored to fulfill all your ELT and CDC needs. This capability empowers organizations to adapt and refine their data strategies in an ever-evolving digital environment. Furthermore, Connect not only simplifies data management but also enhances operational efficiency, making it an indispensable asset for any organization striving for digital transformation.

What is DataOps DataFlow?

Apache Spark offers a comprehensive component-driven platform that streamlines the automation of Data Reconciliation testing for contemporary Data Lake and Cloud Data Migration initiatives. DataOps DataFlow serves as an innovative web-based tool designed to facilitate the automation of testing for ETL projects, Data Warehouses, and Data Migrations. You can utilize DataFlow to efficiently load data from diverse sources, perform comparisons, and transfer discrepancies either into S3 or a Database. This enables users to create and execute data flows with remarkable ease. It stands out as a premier testing solution specifically tailored for Big Data Testing. Moreover, DataOps DataFlow seamlessly integrates with a wide array of both traditional and cutting-edge data sources, encompassing RDBMS, NoSQL databases, as well as cloud-based and file-based systems, ensuring versatility in data handling.

Media

Media

Integrations Supported

Azure Synapse Analytics
Snowflake
Amazon Redshift
Amazon Web Services (AWS)
Apache Hive
Apache Kafka
Apache Spark
BMC Compuware Hiperstation
Cloudera
Databricks Data Intelligence Platform
Google Cloud Platform
Hadoop
IBM Db2
IBM i
Microsoft Azure
Microsoft Power BI
Oracle Database
Teradata VantageCloud
Trillium Geolocation
VMware Tanzu Greenplum

Integrations Supported

Azure Synapse Analytics
Snowflake
Amazon Redshift
Amazon Web Services (AWS)
Apache Hive
Apache Kafka
Apache Spark
BMC Compuware Hiperstation
Cloudera
Databricks Data Intelligence Platform
Google Cloud Platform
Hadoop
IBM Db2
IBM i
Microsoft Azure
Microsoft Power BI
Oracle Database
Teradata VantageCloud
Trillium Geolocation
VMware Tanzu Greenplum

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Contact us
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Precisely

Date Founded

1968

Company Location

United States

Company Website

www.precisely.com/product/precisely-connect/connect

Company Facts

Organization Name

Datagaps

Date Founded

2010

Company Location

United States

Company Website

www.datagaps.com/dataops-dataflow/

Categories and Features

ETL

Data Analysis
Data Filtering
Data Quality Control
Job Scheduling
Match & Merge
Metadata Management
Non-Relational Transformations
Version Control

Integration

Dashboard
ETL - Extract / Transform / Load
Metadata Management
Multiple Data Sources
Web Services

Categories and Features

Data Management

Customer Data
Data Analysis
Data Capture
Data Integration
Data Migration
Data Quality Control
Data Security
Information Governance
Master Data Management
Match & Merge

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