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What is Atlan?

Welcome to the modern data workspace, where discovering all your data assets, from tables to business intelligence reports, is made incredibly easy. Our sophisticated search technology, combined with an intuitive browsing interface, guarantees that finding the correct asset is straightforward. Atlan enhances the process of identifying low-quality data by automatically creating data quality profiles, which help users quickly recognize any existing issues. With capabilities such as automatic detection of variable types, analysis of frequency distributions, identification of missing values, and detection of outliers, Atlan addresses every facet of data quality management comprehensively. This platform streamlines the complexities associated with effectively governing and managing your data ecosystem. Furthermore, Atlan’s smart bots scrutinize SQL query histories to create data lineage maps and pinpoint personally identifiable information (PII), facilitating the development of dynamic access policies and ensuring robust governance. In addition, those who lack a technical background can easily conduct queries across multiple data lakes, warehouses, and databases thanks to our user-friendly, Excel-like query builder. Not only that, but seamless integrations with popular tools like Tableau and Jupyter also enhance collaboration around data, significantly changing the way teams collaborate and share insights. This comprehensive strategy not only empowers users but also cultivates a more data-driven culture across organizations, encouraging informed decision-making at every level. Ultimately, Atlan revolutionizes the way organizations interact with their data, paving the way for greater innovation and efficiency.

What is AnalyticsCreator?

Accelerate your data initiatives 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, and blended modeling strategies that combine best practices from across methodologies. Seamlessly integrate with key Microsoft technologies such as SQL Server, Azure Synapse Analytics, Microsoft Fabric (including OneLake and SQL Endpoint Lakehouse environments), and Power BI. AnalyticsCreator automates ELT pipeline generation, data modeling, historization, and semantic model creation—reducing tool sprawl and minimizing the need for manual SQL coding across your data engineering lifecycle. Designed for CI/CD-driven data engineering workflows, AnalyticsCreator connects easily with Azure DevOps and GitHub for version control, automated builds, and environment-specific deployments. Whether working across development, test, and production environments, teams can ensure faster, error-free releases while maintaining full governance and audit trails. Additional productivity features include automated documentation generation, end-to-end data lineage tracking, and adaptive schema evolution to handle change management with ease. AnalyticsCreator also offers integrated deployment governance, allowing teams to streamline promotion processes while reducing deployment risks. By eliminating repetitive tasks and enabling agile delivery, AnalyticsCreator helps data engineers, architects, and BI teams focus on delivering business-ready insights faster. Empower your organization to accelerate time-to-value for data products and analytical models—while ensuring governance, scalability, and Microsoft platform alignment every step of the way.

Media

Media

Integrations Supported

Anomalo
Azure Analysis Services
Azure Blob Storage
Azure Databricks
Azure SQL Database
Azure Service Fabric
DuckDB
Google Cloud BigQuery
Hadoop
MCPTotal
Microsoft Fabric
Oracle Big Data SQL Cloud Service
PostgreSQL
Qlik Sense
SAP Business One
SAP ERP
SQL
SQL Server
SQL Server on Azure Virtual Machines
SSAS

Integrations Supported

Anomalo
Azure Analysis Services
Azure Blob Storage
Azure Databricks
Azure SQL Database
Azure Service Fabric
DuckDB
Google Cloud BigQuery
Hadoop
MCPTotal
Microsoft Fabric
Oracle Big Data SQL Cloud Service
PostgreSQL
Qlik Sense
SAP Business One
SAP ERP
SQL
SQL Server
SQL Server on Azure Virtual Machines
SSAS

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
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

Atlan

Date Founded

2018

Company Location

India

Company Website

atlan.com

Company Facts

Organization Name

AnalyticsCreator

Company Location

Germany

Company Website

www.analyticscreator.com

Categories and Features

Big Data

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

Data Discovery

Contextual Search
Data Classification
Data Matching
False Positives Reduction
Self Service Data Preparation
Sensitive Data Identification
Visual Analytics

Data Fabric

Data Access Management
Data Analytics
Data Collaboration
Data Lineage Tools
Data Networking / Connecting
Metadata Functionality
No Data Redundancy
Persistent Data Management

Data Governance

Access Control
Data Discovery
Data Mapping
Data Profiling
Deletion Management
Email Management
Policy Management
Process Management
Roles Management
Storage Management

Data Lineage

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

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

Data Quality

Address Validation
Data Deduplication
Data Discovery
Data Profililng
Master Data Management
Match & Merge
Metadata Management

ETL

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

Master Data Management

Data Governance
Data Masking
Data Source Integrations
Hierarchy Management
Match & Merge
Metadata Management
Multi-Domain
Process Management
Relationship Mapping
Visualization

PIM

Content Syndication
Data Modeling
Data Quality Control
Digital Asset Management
Documentation Management
Master Record Management
Version Control

Categories and Features

Data Engineering

Optimize your data engineering processes with AnalyticsCreator, which automates the creation and implementation of powerful data pipelines for various databases, data warehouses, lakes, and cloud platforms. This accelerated deployment of pipelines guarantees smooth integration throughout your ecosystem, fostering innovation through contemporary engineering techniques. Easily connect a diverse array of data sources and destinations, maintaining fluid connectivity within your ecosystem. Enhance development cycles with features like automated documentation, lineage tracking, and schema evolution. Embrace modern engineering practices, including CI/CD and agile methodologies, to enhance collaboration and drive innovation among teams.

Data Integration

Streamline intricate data integration processes with AnalyticsCreator's all-encompassing suite of tools. Automate the design of pipelines to effectively transform and purify data, facilitating smooth integration between APIs, databases, and cloud services. This easy-to-use integration fosters enhanced collaboration and scalability for expanding systems. Boost collaboration with features like version control and live visibility into data movement and interdependencies. Create scalable pipelines that are fine-tuned for contemporary data environments, ensuring efficient and dependable integration.

Data Lake

Streamline the management of contemporary data lakes using AnalyticsCreator’s suite of automation tools, which facilitate the rapid processing of various data types, including structured, semi-structured, and unstructured data. This strategy enhances data uniformity across different platforms, leading to improved insights regarding data movement. Automate the generation of SQL code compatible with platforms such as MS Fabric, AWS S3, Azure Data Lake Storage, and Google Cloud Storage, accelerating development timelines. Benefit from automated lineage tracking and visualization to gain clarity on data flow and interdependencies, thereby enhancing overall ecosystem management.

Data Lineage

Strengthen your data governance framework by incorporating robust lineage tracking features that provide in-depth insights into the source and changes of your data. This enhanced visibility guarantees adherence to regulatory standards through verifiable lineage paths and streamlines the process of identifying the root causes of data quality challenges. Swiftly detect and address data quality concerns using practical insights. With AnalyticsCreator, enhance transparency, ensure compliance, and build trust in your data by delivering a comprehensive lineage trail across your entire data infrastructure. Enable teams to conduct impact assessments and make quicker, well-informed decisions with 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 the development of your Data Warehouse (DWH) by leveraging automation to design and create intricate data models, such as dimensional, data mart, and data vault structures. This automation accelerates value delivery through optimized workflows, leading to greater data accuracy and uniformity. With AnalyticsCreator, you can effortlessly connect your data to platforms like MS Fabric, Power BI, Snowflake, Tableau, Azure Synapse, and others. Its integrated transformation and historization features allow effective management of historical data, with support for various types of Slowly Changing Dimensions (SCD), thereby improving governance and operational efficiency. Improve collaboration within your team through powerful version control and automated documentation capabilities, minimizing development cycles. This enables quicker prototyping, the evolution of schemas, and efficient metadata management, fostering a more agile data management strategy.

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 design and deployment of advanced data models using the automated functionalities of AnalyticsCreator. Our efficient workflows enhance communication among stakeholders and guarantee compliance with industry standards. Our platform accommodates a wide range of modeling methodologies, such as medallion, dimensional, data mart, data vault, and hybrid strategies, providing the versatility needed for any initiative. Produce precise, top-notch code compatible with platforms such as Azure Synapse, Power BI, and Tableau. Utilize intuitive visual modeling tools and thorough documentation to engage stakeholders, promoting enhanced collaboration and informed decision-making during the entire data modeling process.

Data Warehouse

Speed up the creation of your data warehouses by streamlining intricate model designs, such as dimensional, data mart, and data vault structures. AnalyticsCreator boosts scalability for extensive data environments while enhancing governance through its automation capabilities. Produce optimized code for top platforms like Snowflake, Azure Synapse, and MS Fabric. Elevate the quality, consistency, and governance of your data warehouse throughout its lifecycle using automated tools for schema evolution and the 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 through CI/CD and agile methodologies, significantly shortening development timeframes.

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 the automation features offered by AnalyticsCreator, which boosts both the efficiency of pipeline development and oversight. Produce consistent, high-quality code compatible with platforms such as SSIS and Azure Data Factory, facilitating seamless data transfers throughout your ecosystem. Accommodate a variety of data transformations, which encompass cleansing, enrichment, and aggregation for both structured and unstructured data types. Oversee connections to an array of data sources and destinations, such as databases, data lakes, and cloud services, while benefiting from automated lineage tracking for improved visibility. Equip your team with version control and agile practices to foster greater adaptability and collaboration in workflows. Enhance your ETL operations with CI/CD integration for optimal flexibility.

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

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