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What is SAP IQ?

Enhance your ability to make real-time decisions with SAP IQ, our sophisticated columnar relational database management system (RDBMS) tailored for Big Data analytics. Enjoy unmatched performance, formidable strength, and improved security, while addressing the extensive demands of enterprise data warehousing and analytics; this efficient and cost-effective RDBMS is seamlessly integrated into the SAP Business Technology Platform. You can implement it as a fully managed cloud service on a leading hyperscale platform, which facilitates the easy ingestion, storage, and querying of large data volumes via a relational data lake that natively supports a variety of file types. Furthermore, it provides a fully managed cloud option for SAP IQ users aiming to capitalize on their existing Sybase investments, simplifying the migration of current SAP IQ databases to the cloud. By guaranteeing quicker access to Big Data for both applications and users, organizations can make rapid, informed decisions in real time, significantly boosting operational agility. This blend of capabilities empowers businesses to stay ahead in the fast-changing data environment, ensuring they are well-equipped to handle future challenges. Ultimately, SAP IQ positions companies to thrive in an increasingly data-driven world.

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

Amazon Redshift
Arcion
Azure Synapse Analytics
DB PowerStudio
Datagaps DataOps Suite
DbVisualizer
Dell EMC NetWorker
Delphix
ER/Studio Enterprise Edition
Huawei FusionCube
Microsoft Power BI
Rapid SQL
RazorSQL
SAP Joule
SOLIXCloud
SOLIXCloud CDP
Salesforce Data 360
Semarchy xDI
Snowflake
Tableau

Integrations Supported

Amazon Redshift
Arcion
Azure Synapse Analytics
DB PowerStudio
Datagaps DataOps Suite
DbVisualizer
Dell EMC NetWorker
Delphix
ER/Studio Enterprise Edition
Huawei FusionCube
Microsoft Power BI
Rapid SQL
RazorSQL
SAP Joule
SOLIXCloud
SOLIXCloud CDP
Salesforce Data 360
Semarchy xDI
Snowflake
Tableau

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

SAP

Date Founded

1972

Company Location

Germany

Company Website

www.sap.com/products/sybase-iq-big-data-management.html

Company Facts

Organization Name

Datagaps

Date Founded

2010

Company Location

United States

Company Website

www.datagaps.com/dataops-dataflow/

Categories and Features

Relational Database

ACID Compliance
Data Failure Recovery
Multi-Platform
Referential Integrity
SQL DDL Support
SQL DML Support
System Catalog
Unicode Support

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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