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About

Data Flow Manager is an Agentic AI Control Plane for Apache NiFi Operations, built for enterprises running NiFi at real scale. Run, manage, and fix NiFi challenges across all clusters, environments, and flows using simple natural-language prompts. One platform. One control plane. Zero firefighting. DFM replaces fragmented UIs, brittle scripts, and reactive operations with centralized, AI-driven control, enabling NiFi teams to transition from manual operations to governed, autonomous execution. What DFM delivers: • Centralized control across all NiFi clusters and environments • Prompt-driven flow deployment and promotion • Pre-deploy flow validation & sanity checks • Scheduled and controlled flow deployments • Centralized controller service management • Built-in approval workflows and RBAC • Immutable, detailed audit logs • Unified visibility into flow health and runtime state

About

SAS Studio provides a web browser-based programming environment, so writing and interacting with SAS code is easier and faster, wherever you are. It helps teams build efficient data pipelines with a data engineering experience designed for seamless collaboration, low-code work, and open source integration. SAS Studio connects to leading cloud data platforms such as AWS Redshift and S3, Google BigQuery and Cloud Storage, and Azure Data Lake Storage, as well as relational and nonrelational databases, including Oracle, Snowflake, Teradata, SingleStore, MongoDB, and other sources. It also works with file formats such as Excel, text, Parquet, and ORC. Users can choose no code, low code, or code by creating end-to-end data pipelines with drag-and-drop steps, developing Python and SAS code assets in SAS Studio or another IDE, and embedding them into SAS Studio flows for secure, centralized access to data sources and governed execution. SAS Studio supports ELT and ETL approaches.

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Audience

IT, Data Teams, Healthcare Professionals, E-Commerce and Retail Businesses, Streaming Platform Managers, Financial Institutions, Telecommunications and Network Providers, Smart Factories and Manufacturing

Audience

Data engineering teams that need a governed, browser-based environment to build, collaborate on, and orchestrate SAS, Python, ETL, and ELT data pipelines

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

Pricing

No information available.
Free Version
Free Trial

Pricing

No information available.
Free Version
Free Trial

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

Ksolves
Founded: 2012
India
www.dfmanager.com

Company Information

SAS
Founded: 1976
United States
www.sas.com/en_us/software/studio.html

Alternatives

Apache NiFi

Apache NiFi

Apache Software Foundation

Alternatives

Kylo

Kylo

Teradata
CAPE

CAPE

Biqmind
Dataform

Dataform

Google

Categories

Categories

Integrations

Amazon Redshift
Amazon S3
Apache Hive
Apache NiFi
Apache Parquet
Azure Data Lake
Azure HDInsight
Azure Synapse Analytics
Cloud Dataprep
Cloudera Data Platform
Google Cloud BigQuery
Google Cloud Storage
IBM Db2
Microsoft Excel
MongoDB
MongoDB Atlas
Oracle Database
Python
SingleStore
Teradata VantageCloud

Integrations

Amazon Redshift
Amazon S3
Apache Hive
Apache NiFi
Apache Parquet
Azure Data Lake
Azure HDInsight
Azure Synapse Analytics
Cloud Dataprep
Cloudera Data Platform
Google Cloud BigQuery
Google Cloud Storage
IBM Db2
Microsoft Excel
MongoDB
MongoDB Atlas
Oracle Database
Python
SingleStore
Teradata VantageCloud
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