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Average Ratings 0 Ratings

Total
ease
features
design
support

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Write a Review

Description

Agile Data Engine serves as a robust DataOps platform crafted to optimize the lifecycle of cloud-based data warehouses, encompassing their development, deployment, and management. This solution consolidates data modeling, transformation processes, continuous deployment, workflow orchestration, monitoring, and API integration into a unified SaaS offering. By leveraging a metadata-driven model, it automates the generation of SQL scripts and the workflows for data loading, significantly boosting efficiency and responsiveness in data operations. The platform accommodates a variety of cloud database systems such as Snowflake, Databricks SQL, Amazon Redshift, Microsoft Fabric (Warehouse), Azure Synapse SQL, Azure SQL Database, and Google BigQuery, thus providing considerable flexibility across different cloud infrastructures. Furthermore, its modular data product architecture and pre-built CI/CD pipelines ensure smooth integration and facilitate ongoing delivery, empowering data teams to quickly adjust to evolving business demands. Additionally, Agile Data Engine offers valuable insights and performance metrics related to the data platform, enhancing overall operational transparency and effectiveness. This capability allows organizations to make informed decisions based on real-time data analytics, further driving strategic initiatives.

Description

SAS Studio offers a programming environment accessible through web browsers, making it simpler and quicker to write and engage with SAS code from any location. This platform is designed to enhance teamwork by facilitating the creation of effective data pipelines, promoting effortless collaboration, minimizing the need for extensive coding, and allowing for open-source integration. It interfaces with prominent cloud data services like AWS Redshift and S3, Google BigQuery and Cloud Storage, and Azure Data Lake Storage, in addition to various relational and non-relational databases such as Oracle, Snowflake, Teradata, SingleStore, and MongoDB. Furthermore, SAS Studio is compatible with multiple file formats, including Excel, text, Parquet, and ORC. Users have the flexibility to work with a no-code, low-code, or traditional coding approach, enabling them to construct comprehensive data pipelines through drag-and-drop operations, create Python and SAS code within SAS Studio or other IDEs, and integrate these components into SAS Studio workflows for secure and centralized data access. Additionally, SAS Studio accommodates both ELT and ETL methodologies, ensuring versatility in data handling. This adaptability makes SAS Studio a valuable tool for data professionals aiming to streamline their analytics processes.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

Amazon Redshift
Azure Synapse Analytics
Databricks
Google Cloud BigQuery
Snowflake
Amazon EMR
Amazon S3
Apache Hive
Azure SQL Database
Cloud Dataprep
Cloudera Data Platform
Google Cloud Storage
Greenplum
Microsoft Excel
Microsoft Fabric
MongoDB Atlas
Oracle Database
Python
SingleStore
Teradata VantageCloud

Integrations

Amazon Redshift
Azure Synapse Analytics
Databricks
Google Cloud BigQuery
Snowflake
Amazon EMR
Amazon S3
Apache Hive
Azure SQL Database
Cloud Dataprep
Cloudera Data Platform
Google Cloud Storage
Greenplum
Microsoft Excel
Microsoft Fabric
MongoDB Atlas
Oracle Database
Python
SingleStore
Teradata VantageCloud

Pricing Details

No price information available.
Free Trial
Free Version

Pricing Details

No price information available.
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Vendor Details

Company Name

Agile Data Engine

Country

Finland

Website

www.agiledataengine.com

Vendor Details

Company Name

SAS

Founded

1976

Country

United States

Website

www.sas.com/en_us/software/studio.html

Product Features

Data Warehouse

Ad hoc Query
Analytics
Data Integration
Data Migration
Data Quality Control
ETL - Extract / Transfer / Load
In-Memory Processing
Match & Merge

Product Features

Alternatives

Alternatives

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Datos-Intelligence GmbH