What is Sisense Fusion Analytics?

Sisense Fusion Analytics is a self-service analytics tool designed for cloud data teams. It emphasizes a code-first approach, allowing for the integration of customized analytics into applications and products. This tool aims to facilitate confident, data-informed decisions by users and enhance product engagement and adoption.

As an AI-driven, low/no code application, Sisense Fusion Analytics supports the creation of embedded analytics. It is tailored to boost customer acquisition and retention, accelerate time to market, and provide a cloud-native and cloud-agnostic environment. Its architecture allows for unlimited scalability and composable analytics, ensuring flexibility and ease of maintenance.

What is Sisense Fusion Analytics?

Sisense Fusion Analytics is an AI-driven analytics platform that enables customization and embedding of analytics into applications and products. It is designed to facilitate the sharing of intuitive insights and support data-informed decision-making. The platform aids in boosting product engagement and adoption, while also contributing to customer acquisition and retention. Sisense Fusion Analytics is recognized for its capability to build scalable native applications and enhance analytics experiences in a modular way.

Modular Embedding and Development Efficiency

Sisense Fusion Analytics provides a modular approach to embedding analytics with its Sisense Fusion Compose SDK. This code-first SDK is scalable and can be integrated with a variety of tech stacks, tools, and frameworks. It is built specifically for analytics, which helps save development time and reduce the maintenance burden.

Cloud-Native and Cloud-Agnostic Features

As a cloud-native and cloud-agnostic solution, Sisense Fusion Analytics offers flexibility in deployment and operation across different cloud environments. This feature, combined with the platform's ability to build analytics and insight-driven experiences faster, positions it as a versatile tool for businesses aiming to leverage big data and analytics.

Sisense Fusion Analytics vs Progress DataRPM

Customization and Embedding Capabilities

Sisense Fusion Analytics provides extensive customization and embedding features for analytics. It allows users to integrate customized analytics into their applications and products, facilitating data-informed decision-making and enhancing user engagement. In contrast, Progress DataRPM offers cognitive predictive maintenance for industrial IoT, with a focus on machine learning models for asset failure prediction, rather than customizable embedded analytics.

Modularity and Development Efficiency

The Sisense Fusion Compose SDK offers a modular and code-first approach to embedding analytics, which aligns with existing tech stacks, tools, and frameworks. This SDK is designed to save development time. On the other hand, Progress DataRPM's emphasis is on automating model building and operationalizing machine learning at scale, potentially speeding up the deployment of predictive analytics but not specifically addressing modularity in embedding analytics.

Scalability and Cloud Capabilities

Sisense Fusion Analytics is cloud-native and cloud-agnostic, supporting scalable native application development and reducing the maintenance burden. This AI-driven platform is tailored to build faster insight-driven experiences. Progress DataRPM, while also scalable, mainly provides asset failure prediction and does not emphasize cloud-native or agnostic traits, focusing instead on its core industrial IoT predictive maintenance capabilities.

AI-Driven Analytics

Both Sisense Fusion Analytics and Progress DataRPM harness AI to boost their analytics capabilities. Sisense Fusion employs AI to enhance data-driven decisions and user engagement, while Progress DataRPM uses AI to predict asset failure and improve maintenance strategies in the industrial sector. Sisense Fusion's AI-driven approach is broad, catering to various business needs, whereas Progress DataRPM's AI application is specialized in predictive maintenance.

Why Choose Sourcetable Over Sisense Fusion Analytics and Progress DataRPM

Sourcetable stands out as a versatile data analysis tool capable of handling over a million rows of CSV data, making it a robust alternative to Sisense Fusion Analytics and Progress DataRPM. Its ability to execute Excel-like formulas for querying data positions it as a powerful business intelligence platform.

With its no-code approach, Sourcetable empowers teams to create dynamic dashboards and publish interactive visualizations directly into web pages, an edge over traditional analytics software. Its centralized data warehouse and over 100 connectors simplify data integration from various sources.

Unlike Sisense Fusion Analytics and Progress DataRPM, Sourcetable offers a spreadsheet interface for data access and manipulation, catering to users familiar with spreadsheet software. This enhances real-time data analysis without the need for complex database querying languages.

Automation capabilities in Sourcetable allow for efficient report generation and dashboard creation, ensuring timely insights. End-to-end encryption and secure backups provide a reliable infrastructure for data collaboration and storage without the risk of data overwriting.