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Average Ratings 46 Ratings

Average Ratings 1 Rating

Total
ease
features
design
support

Description

Accelerate your data journey with AnalyticsCreator—a metadata-driven data warehouse automation solution purpose-built for the Microsoft data ecosystem. AnalyticsCreator simplifies the design, development, and deployment of modern data architectures, including dimensional models, data marts, data vaults, or blended modeling approaches tailored to your business needs. Seamlessly integrate with Microsoft SQL Server, Azure Synapse Analytics, Microsoft Fabric (including OneLake and SQL Endpoint Lakehouse environments), and Power BI. AnalyticsCreator automates ELT pipeline creation, data modeling, historization, and semantic layer generation—helping reduce tool sprawl and minimizing manual SQL coding. Designed to support CI/CD pipelines, AnalyticsCreator connects easily with Azure DevOps and GitHub for version-controlled deployments across development, test, and production environments. This ensures faster, error-free releases while maintaining governance and control across your entire data engineering workflow. Key features include automated documentation, end-to-end data lineage tracking, and adaptive schema evolution—enabling teams to manage change, reduce risk, and maintain auditability at scale. AnalyticsCreator empowers agile data engineering by enabling rapid prototyping and production-grade deployments for Microsoft-centric data initiatives. By eliminating repetitive manual tasks and deployment risks, AnalyticsCreator allows your team to focus on delivering actionable business insights—accelerating time-to-value for your data products and analytics initiatives.

Description

Azure Synapse represents the advanced evolution of Azure SQL Data Warehouse. It is a comprehensive analytics service that integrates enterprise data warehousing with Big Data analytics capabilities. Users can query data flexibly, choosing between serverless or provisioned resources, and can do so at scale. By merging these two domains, Azure Synapse offers a cohesive experience for ingesting, preparing, managing, and delivering data, catering to the immediate requirements of business intelligence and machine learning applications. This integration enhances the efficiency and effectiveness of data-driven decision-making processes.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

Microsoft Fabric
Azure Blob Storage
Azure Data Lake
Azure Marketplace
Azure SQL Database
Azure Synapse Analytics
Catalog
Dasera
ID Privacy AI
PopSQL
Qlik Sense
Rational BI
SAP Business One
SQL Server on Azure Virtual Machines
Skypoint AI Platform
Slingshot
Tableau
Telmai
Validio
Vanta

Integrations

Microsoft Fabric
Azure Blob Storage
Azure Data Lake
Azure Marketplace
Azure SQL Database
Azure Synapse Analytics
Catalog
Dasera
ID Privacy AI
PopSQL
Qlik Sense
Rational BI
SAP Business One
SQL Server on Azure Virtual Machines
Skypoint AI Platform
Slingshot
Tableau
Telmai
Validio
Vanta

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

AnalyticsCreator

Country

Germany

Website

www.analyticscreator.com

Vendor Details

Company Name

Microsoft

Founded

1975

Country

United States

Website

azure.microsoft.com/en-us/services/synapse-analytics/

Product Features

Data Engineering

Optimize your data engineering processes with AnalyticsCreator by automating the creation and implementation of resilient data pipelines tailored for databases, data warehouses, data lakes, and cloud platforms. Swift deployment of these pipelines guarantees smooth integration throughout your ecosystem, fostering innovation through contemporary engineering approaches. Easily connect a diverse array of data sources and destinations, ensuring fluid connectivity within your environment. Enhance your development cycles with features like automated documentation, lineage tracking, and schema evolution. Embrace modern engineering practices, including CI/CD and agile methodologies, to boost collaboration and drive innovation among teams.

Data Integration

Streamline intricate data integration processes using AnalyticsCreator's all-encompassing suite of tools. Automate the creation of pipelines to modify and purify data, guaranteeing smooth integration among APIs, databases, and cloud services. This straightforward approach to integration fosters better collaboration and scalability for expanding environments. Boost team collaboration through version management and live visibility into data movements and interdependencies. Construct scalable pipelines tailored for contemporary data ecosystems, ensuring effective and dependable integration.

Data Lake

Streamline your management of contemporary data lakes with the advanced automation capabilities of AnalyticsCreator. This solution allows for quicker processing of a variety of data types, including structured, semi-structured, and unstructured formats, enhancing data uniformity across different systems and providing deeper insights into data movement. Create SQL code tailored for platforms such as MS Fabric, AWS S3, Azure Data Lake Storage, and Google Cloud Storage to accelerate your development timelines. Benefit from automated lineage tracking and visualization that offers clarity on data flow and dependencies, leading to improved oversight of your data ecosystem.

Data Lineage

Elevate your data governance strategy by incorporating robust lineage tracking features that provide a thorough understanding of your data's origins and its transformations. This enhanced visibility not only supports compliance by maintaining verifiable lineage records but also accelerates root cause analysis for any data quality concerns. Rapidly pinpoint and address data quality challenges through actionable insights. With AnalyticsCreator, boost transparency, ensure compliance, and enhance data reliability by offering an in-depth lineage overview of your entire data landscape. Equip your teams to conduct impact assessments and make well-informed decisions quickly, all while enjoying a visual representation of data relationships and movement.

Database Change Impact Analysis
Filter Lineage Links
Implicit Connection Discovery
Lineage Object Filtering
Object Lineage Tracing
Point-in-Time Visibility
User/Client/Target Connection Visibility
Visual & Text Lineage View

Data Management

Enhance your data warehouse (DWH) development process by leveraging automation to design and produce intricate data models, such as dimensional, data mart, and data vault frameworks. This automated approach significantly shortens the time to realize value by optimizing workflows, which leads to greater accuracy and consistency in your data. With AnalyticsCreator, you can easily connect your data to various platforms including MS Fabric, Power BI, Snowflake, Tableau, and Azure Synapse, among others. The tool features built-in transformations and historization functions that allow for effective management of historical data, including support for Slowly Changing Dimensions (SCD) types, thereby improving data governance and operational performance. Facilitate collaboration and streamline your team's efforts with advanced version control capabilities and automated documentation processes, which help minimize development time. This enables quicker prototyping, schema evolution, and effective metadata management, fostering a more responsive approach to data management.

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

Data Modeling

Accelerate the development and implementation of advanced data models using AnalyticsCreator’s automated solutions. Our optimized workflows enhance communication among stakeholders and guarantee compliance with industry best practices. Utilize a range of modeling methodologies such as medallion, dimensional, data mart, data vault, and hybrid strategies, allowing for adaptability across diverse projects. Produce precise, top-notch code compatible with platforms like Azure Synapse, Power BI, and Tableau. Involve stakeholders through intuitive visual modeling tools and thorough documentation, promoting improved collaboration and informed decision-making during the entire data modeling process.

Data Warehouse

Streamline the creation of your data warehouses by leveraging automation for intricate model designs, including dimensional, data mart, and data vault frameworks. AnalyticsCreator boosts scalability in extensive data ecosystems and enhances governance through its automated capabilities. Produce optimized code for top platforms like Snowflake, Azure Synapse, and MS Fabric. Elevate data quality, consistency, and governance throughout the entire data warehouse lifecycle with automated solutions for schema evolution and management of historical data. Foster collaboration with version control and automated documentation, facilitating smooth teamwork and quick iterations. Utilize AnalyticsCreator to address the challenges of contemporary data warehouse development, incorporating CI/CD and agile methodologies to significantly shorten development timelines.

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

ETL

Enhance the process of building ETL pipelines with AnalyticsCreator’s automation features, boosting both efficiency and effectiveness in pipeline development and oversight. Produce dependable, high-quality code for systems like SSIS and Azure Data Factory, facilitating seamless data movement throughout your environment. Accommodate a variety of data transformations, such as cleansing, enrichment, and aggregation, for both structured and unstructured data types. Oversee connections to numerous data sources and destinations, including databases, data lakes, and cloud services, while improving transparency through automated lineage tracking. Equip your team with version control and agile practices, fostering improved adaptability and collaboration within workflows. Streamline your ETL operations with CI/CD support for enhanced flexibility.

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

Product Features

Big Data

Collaboration
Data Blends
Data Cleansing
Data Mining
Data Visualization
Data Warehousing
High Volume Processing
No-Code Sandbox
Predictive Analytics
Templates

Data Analysis

Data Discovery
Data Visualization
High Volume Processing
Predictive Analytics
Regression Analysis
Sentiment Analysis
Statistical Modeling
Text Analytics

Data Management

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

Data Preparation

Collaboration Tools
Data Access
Data Blending
Data Cleansing
Data Governance
Data Mashup
Data Modeling
Data Transformation
Machine Learning
Visual User Interface

Data Science

Access Control
Advanced Modeling
Audit Logs
Data Discovery
Data Ingestion
Data Preparation
Data Visualization
Model Deployment
Reports

Data Warehouse

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

Database

Backup and Recovery
Creation / Development
Data Migration
Data Replication
Data Search
Data Security
Database Conversion
Mobile Access
Monitoring
NOSQL
Performance Analysis
Queries
Relational Interface
Virtualization

ETL

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

Predictive Analytics

AI / Machine Learning
Benchmarking
Data Blending
Data Mining
Demand Forecasting
For Education
For Healthcare
Modeling & Simulation
Sentiment Analysis

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