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What is Toad Intelligence Central?

In the modern, interconnected economy, the amount of data being produced is increasing exponentially. Embracing a data-centric strategy is essential for facilitating quick reactions and fostering innovation to maintain a competitive edge. Envision a scenario where you can simplify the tasks associated with data preparation and provisioning. Think about the advantages of effortlessly conducting database analysis and sharing insightful data findings among analysts from different teams. What if this capability could result in a time reduction of as much as 40%? By utilizing Toad® Data Point, combined with Toad Intelligence Central, your organization can access a cost-effective, server-based solution that boosts collaboration among users. It offers secure and regulated access to SQL scripts, project artifacts, provisioned data, and automated workflows, which enhances teamwork significantly. Additionally, the platform enables easy abstraction of both structured and unstructured data sources through sophisticated connectivity, allowing the development of easily refreshable datasets that any Toad user can access. This integration not only improves overall efficiency but also cultivates a robust environment for data-driven decision-making throughout the organization, leading to more informed strategies and outcomes.

What is IBM Databand?

Monitor the health of your data and the efficiency of your pipelines diligently. Gain thorough visibility into your data flows by leveraging cloud-native tools like Apache Airflow, Apache Spark, Snowflake, BigQuery, and Kubernetes. This observability solution is tailored specifically for Data Engineers. As data engineering challenges grow due to heightened expectations from business stakeholders, Databand provides a valuable resource to help you manage these demands effectively. With the surge in the number of pipelines, the complexity of data infrastructure has also risen significantly. Data engineers are now faced with navigating more sophisticated systems than ever while striving for faster deployment cycles. This landscape makes it increasingly challenging to identify the root causes of process failures, delays, and the effects of changes on data quality. As a result, data consumers frequently encounter frustrations stemming from inconsistent outputs, inadequate model performance, and sluggish data delivery. The absence of transparency regarding the provided data and the sources of errors perpetuates a cycle of mistrust. Moreover, pipeline logs, error messages, and data quality indicators are frequently collected and stored in distinct silos, which further complicates troubleshooting efforts. To effectively tackle these challenges, adopting a cohesive observability strategy is crucial for building trust and enhancing the overall performance of data operations, ultimately leading to better outcomes for all stakeholders involved.

Media

Media

Integrations Supported

Amazon DynamoDB
Amazon EMR
Amazon S3
Apache Airflow
Azkaban
Azure Data Factory
Databricks Data Intelligence Platform
Docker
Google Cloud BigQuery
Google Cloud Composer
Google Cloud Dataproc
Google Cloud Storage
Hive Data
MLflow
Microsoft Access
Microsoft SharePoint
MongoDB
MySQL
Power365
Salesforce

Integrations Supported

Amazon DynamoDB
Amazon EMR
Amazon S3
Apache Airflow
Azkaban
Azure Data Factory
Databricks Data Intelligence Platform
Docker
Google Cloud BigQuery
Google Cloud Composer
Google Cloud Dataproc
Google Cloud Storage
Hive Data
MLflow
Microsoft Access
Microsoft SharePoint
MongoDB
MySQL
Power365
Salesforce

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

Quest

Date Founded

1987

Company Location

United States

Company Website

www.quest.com/products/toad-intelligence-central/

Company Facts

Organization Name

IBM

Date Founded

1911

Company Location

United States

Company Website

www.ibm.com/products/databand

Categories and Features

Data Preparation

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

Categories and Features

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 Preparation

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

Data Quality

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

Data Visualization

Analytics
Content Management
Dashboard Creation
Filtered Views
OLAP
Relational Display
Simulation Models
Visual Discovery

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