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features
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support

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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

Dremio provides lightning-fast queries as well as a self-service semantic layer directly to your data lake storage. No data moving to proprietary data warehouses, and no cubes, aggregation tables, or extracts. Data architects have flexibility and control, while data consumers have self-service. Apache Arrow and Dremio technologies such as Data Reflections, Columnar Cloud Cache(C3), and Predictive Pipelining combine to make it easy to query your data lake storage. An abstraction layer allows IT to apply security and business meaning while allowing analysts and data scientists access data to explore it and create new virtual datasets. Dremio's semantic layers is an integrated searchable catalog that indexes all your metadata so business users can make sense of your data. The semantic layer is made up of virtual datasets and spaces, which are all searchable and indexed.

Description

Transform the way you view time in data analytics. With the ability to access your business data almost instantly, you can operate directly from your dashboard without the need to consult the IT team repeatedly. Introducing Indexima DataHub, a revolutionary environment that empowers both operational and functional users to obtain immediate access to their data. Through an innovative fusion of a specialized indexing engine and machine learning capabilities, Indexima enables organizations to streamline and accelerate their analytics processes. Designed for robustness and scalability, this solution allows companies to execute queries on vast amounts of data—potentially up to tens of billions of rows—in mere milliseconds. The Indexima platform facilitates instant analytics on all your data with just a single click. Additionally, thanks to Indexima's new ROI and TCO calculator, you can discover the return on investment for your data platform in just 30 seconds, taking into account infrastructure costs, project deployment duration, and data engineering expenses while enhancing your analytical capabilities. Experience the future of data analytics and unlock unprecedented efficiency in your operations.

API Access

Has API

API Access

Has API

API Access

Has API

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Screenshots View All

Screenshots View All

Integrations

Microsoft Power BI
Tableau
Azure Analysis Services
Azure SQL Database
Azure Service Fabric
Cloudera
Emgage
HPE Ezmeral
Jaspersoft
Microsoft Dynamics 365 Business Central
Microsoft Excel
Microsoft Power Query
NoSQL
Preset
SAP ERP
Snowflake
Strategy ONE
Teradata VantageCloud
Toucan
data.world

Integrations

Microsoft Power BI
Tableau
Azure Analysis Services
Azure SQL Database
Azure Service Fabric
Cloudera
Emgage
HPE Ezmeral
Jaspersoft
Microsoft Dynamics 365 Business Central
Microsoft Excel
Microsoft Power Query
NoSQL
Preset
SAP ERP
Snowflake
Strategy ONE
Teradata VantageCloud
Toucan
data.world

Integrations

Microsoft Power BI
Tableau
Azure Analysis Services
Azure SQL Database
Azure Service Fabric
Cloudera
Emgage
HPE Ezmeral
Jaspersoft
Microsoft Dynamics 365 Business Central
Microsoft Excel
Microsoft Power Query
NoSQL
Preset
SAP ERP
Snowflake
Strategy ONE
Teradata VantageCloud
Toucan
data.world

Pricing Details

No price information available.
Free Trial
Free Version

Pricing Details

No price information available.
Free Trial
Free Version

Pricing Details

$3,290 per month
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

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

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

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

Dremio

Founded

2015

Country

United States

Website

www.dremio.com

Vendor Details

Company Name

Indexima

Country

United States

Website

indexima.com/en/home/

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 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 Warehouse

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

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 Management

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

Machine Learning

Deep Learning
ML Algorithm Library
Model Training
Natural Language Processing (NLP)
Predictive Modeling
Statistical / Mathematical Tools
Templates
Visualization

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