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FuelCloudFuelCloud is revolutionizing the fuel technology sector by developing advanced Fuel Management Systems designed for the oversight and administration of bulk fuel inventories. By leveraging four generations of expertise in the fuel industry alongside cutting-edge advancements in cloud computing and mobile technology, FuelCloud’s systems provide a level of control akin to cardlock systems but at more accessible prices. This combination results in a robust yet cost-effective solution that safeguards fuel against loss and theft, enhances reporting and management processes, and empowers users with comprehensive control over their fuel resources. Central to FuelCloud's offering is its cloud-based web portal, which enables managers to monitor transactions and tank levels, regulate fuel access permissions, and streamline the generation and distribution of reports. Additionally, this web portal seamlessly integrates bulk fuel data with existing fleet and business management platforms, facilitating a holistic view of fleet operations from the storage tank to the vehicle exhaust. This integration not only improves efficiency but also supports informed decision-making, ensuring that businesses can optimize their fuel usage effectively.
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 Kylo?
Kylo is an open-source solution tailored for the proficient management of enterprise-scale data lakes, enabling users to effortlessly ingest and prepare data while integrating strong metadata management, governance, security, and best practices informed by Think Big's vast experience from over 150 large-scale data implementations. It empowers users to handle self-service data ingestion, enhanced by functionalities for data cleansing, validation, and automatic profiling. The platform features a user-friendly visual SQL and an interactive transformation interface that simplifies data manipulation. Users can investigate and navigate both data and metadata, trace data lineage, and access profiling statistics without difficulty. Moreover, it includes tools for monitoring the vitality of data feeds and services within the data lake, which aids users in tracking service level agreements (SLAs) and resolving performance challenges efficiently. Users are also capable of creating and registering batch or streaming pipeline templates through Apache NiFi, which further supports self-service capabilities. While organizations often allocate significant engineering resources to migrate data into Hadoop, they frequently grapple with governance and data quality issues; however, Kylo streamlines the data ingestion process, allowing data owners to exert control through its intuitive guided user interface. This revolutionary approach not only boosts operational effectiveness but also cultivates a sense of data ownership among users, thereby transforming the organizational culture towards data management. Ultimately, Kylo represents a significant advancement in making data management more accessible and efficient for all stakeholders involved.
Integrations Supported
Amazon DynamoDB
Amazon Web Services (AWS)
Apache Cassandra
Apache HBase
Apache Spark
BiG EVAL
Elasticsearch
Google Analytics
Hadoop
HashiCorp Vault
Integrations Supported
Amazon DynamoDB
Amazon Web Services (AWS)
Apache Cassandra
Apache HBase
Apache Spark
BiG EVAL
Elasticsearch
Google Analytics
Hadoop
HashiCorp Vault
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
Teradata
Date Founded
1979
Company Location
United States
Company Website
kylo.io
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 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 Preparation
Collaboration Tools
Data Access
Data Blending
Data Cleansing
Data Governance
Data Mashup
Data Modeling
Data Transformation
Machine Learning
Visual User Interface