Audience
Companies looking for a next-gen Data Management and analysis platform
About Splashback
Spreadsheets, internal databases, PDFs and text files are so last decade. A cloud-first data solution like Splashback gives you the edge in a rapidly changing ecosystem. Trusted by industry, Splashback builds data assets, to help you avoid data nightmares. Splashback exists to help bridge the gap between data and people by democratizing data. When people can both access and understand data, this paves the way for positive, informed change to take place. Splashback is a managed, highly secure, cloud data platform that integrates a suite of easy-to-use analysis, management and storage tools. With functional data sharing capabilities and integrations using open APIs, Splashback is the tech and user-friendly data solution businesses have been looking for. It allows managers to share data with internal and external teams using a unified interface.
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Integrations
API:
Yes, Splashback offers API access
No integrations listed.
Company Information
Splashback
Founded: 2019
Australia
splashback.io
Videos and Screen Captures
Other Useful Business Software
Create and run cloud-based virtual machines.
Computing infrastructure in predefined or custom machine sizes to accelerate your cloud transformation. General purpose (E2, N1, N2, N2D) machines provide a good balance of price and performance. Compute optimized (C2) machines offer high-end vCPU performance for compute-intensive workloads. Memory optimized (M2) machines offer the highest memory and are great for in-memory databases. Accelerator optimized (A2) machines are based on the A100 GPU, for very demanding applications.
Product Details
Platforms Supported
Cloud
Android
Training
Live Online
Support
Phone Support
Online
Splashback Frequently Asked Questions
Splashback Product Features
Dashboard
Functions / Calculations
Annotations
Data Source Integrations
Interactive
KPIs
OLAP
Private Dashboards
Public Dashboards
Scorecards
Themes
Visual Analytics
Widgets
Data Analysis
Data Visualization
Data Discovery
High Volume Processing
Predictive Analytics
Regression Analysis
Sentiment Analysis
Statistical Modeling
Text Analytics
