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What is TextQL?

The platform effectively consolidates business intelligence tools and semantic layers, documents data using dbt, and integrates OpenAI and language models to enhance self-service advanced analytics capabilities. With TextQL, individuals lacking technical expertise can easily engage with data by asking questions in their preferred communication platforms like Slack, Teams, or email, receiving swift and secure automated replies. Moreover, the platform utilizes natural language processing and semantic layers, such as the dbt Labs semantic layer, to provide coherent and insightful solutions. TextQL improves the workflow from inquiry to answer by smoothly transitioning to human analysts when needed, considerably optimizing the entire procedure with AI support. Our mission at TextQL revolves around empowering business teams to access the data they require in less than a minute. To fulfill this objective, we aid data teams in identifying and documenting their datasets, ensuring business teams can trust the accuracy and relevance of their reports. Ultimately, our dedication to simplifying data accessibility revolutionizes how organizations leverage their information assets, fostering a more informed decision-making process across the board. By prioritizing user experience, we aim to bridge the gap between complex data and actionable insights.

What is SAP Datasphere?

SAP Datasphere acts as a unified data experience platform within the SAP Business Data Cloud, designed to provide seamless and scalable access to vital business information. It effectively merges data from both SAP and non-SAP sources, promoting a cohesive data environment that enhances the speed and accuracy of decision-making. The platform includes features like data federation, cataloging, semantic modeling, and real-time data integration, which help organizations sustain consistent and contextualized data in both hybrid and cloud environments. Additionally, SAP Datasphere simplifies data management by preserving business context and logic, thereby delivering a comprehensive view of data that fosters innovation and improves business workflows. This integration not only enables businesses to utilize their data more efficiently but also positions them to thrive in a competitive market. As a result, organizations can make informed strategic choices that drive growth and success.

Media

Media

Integrations Supported

Amazon Redshift
Databricks
Google Cloud BigQuery
Microsoft Teams
Monda
Plaid
SAP BRIM
SAP BW/4HANA
SAP Business Data Cloud
SAP Business Technology Platform
SAP Store
Salesforce
Slack
Snowflake
Starburst Enterprise

Integrations Supported

Amazon Redshift
Databricks
Google Cloud BigQuery
Microsoft Teams
Monda
Plaid
SAP BRIM
SAP BW/4HANA
SAP Business Data Cloud
SAP Business Technology Platform
SAP Store
Salesforce
Slack
Snowflake
Starburst Enterprise

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

TextQL

Company Location

United States

Company Website

www.textql.com

Company Facts

Organization Name

SAP

Date Founded

1972

Company Location

Germany

Company Website

www.sap.com/products/data-cloud/datasphere.html

Categories and Features

Categories and Features

Data Fabric

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

Data Warehouse

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

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