TIMi
4.9 out of 5 starsRatings and Reviews 68 Ratings
Ratings and Reviews 0 Ratings
What is TIMi?
High-Performance Data Engineering. 100% Sovereign.
TIMi delivers the full power of a enterprise data cloud—on-premises, fully sovereign, and blisteringly fast.
No vendor lock-in. No hidden costs. Just pure engineering excellence that gives your team total freedom to experiment, innovate, and solve your toughest AI and automation challenges in record time.
The TIMi Advantages:
No-Code Integration: Automate complex workflows and connect your entire tech stack instantly—from SAP and Salesforce to SharePoint and Google BigTable.
Radical Efficiency: Competitors such as Databricks, Dataiku, and MS Fabric relies heavily on a Spark back-end. Spark quickly burns budget because of bloated Java virtual machines. TIMi strips away the waste with pure, bare-metal, hand-optimized assembly code. The result: A single €2k TIMi server outperforms a 267-node Spark cluster, processing billions of rows in seconds and effortlessly running petabyte-scale data lakes at a fraction of the cost.
Pioneering AI: Harness advanced machine learning built on the legacy of the first Auto-ML engine (pioneered in 2007).
Available on-premises or via our EU-Hosted Sovereign Cloud. Trusted across Telecoms, Banking, Manufacturing, Retail, Defense, and Government.
What is DataMelt?
DataMelt, commonly referred to as "DMelt," is a versatile environment designed for numerical computations, data analysis, data mining, and computational statistics. It facilitates the plotting of functions and datasets in both 2D and 3D, enables statistical testing, and supports various forms of data analysis, numeric computations, and function minimization. Additionally, it is capable of solving linear and differential equations, and provides methods for symbolic, linear, and non-linear regression. The Java API included in DataMelt integrates neural network capabilities alongside various data manipulation techniques utilizing different algorithms. Furthermore, it offers support for symbolic computations through Octave/Matlab programming elements.
As a computational environment based on a Java platform, DataMelt is compatible with multiple operating systems and supports various programming languages, distinguishing it from other statistical tools that often restrict users to a single language. This software uniquely combines Java, the most prevalent enterprise language globally, with popular data science scripting languages such as Jython (Python), Groovy, and JRuby, thereby enhancing its versatility and user accessibility. Consequently, DataMelt emerges as an essential tool for researchers and analysts seeking a comprehensive solution for complex data-driven tasks.
Integrations Supported
Adobe Acrobat
Apache Kafka
Gmail
Google Cloud Storage
Google Drive
IBM Db2
IBM SPSS Statistics
Microsoft 365
Microsoft Access
API Availability
API Availability
Has API
Pricing Information
499 €/Month
499 €/Month/user (or 5000€/year/user) for a cloud solution that is fully managed for you.
5970 €/year for a self-hosted solution. You get Unlimited users, storage, cores. VM not supported.
Server edition: VM is suported: Contact us.
All our solutions are 100% sovereign.
5970 €/year for a self-hosted solution. You get Unlimited users, storage, cores. VM not supported.
Server edition: VM is suported: Contact us.
All our solutions are 100% sovereign.
Free Version
Free Trial Offered?
Pricing Information
$0
Access to full documentation (examples, Java API documentation, online manual) requires one-time membership payment (20$/user)
Free Version
Supported Platforms
SaaS
Windows
On-Prem
Linux
Supported Platforms
Android
Windows
Mac
Linux
Customer Service / Support
Standard Support
Web-Based Support
Customer Service / Support
Standard Support
Training Options
Documentation Hub
Webinars
Online Training
On-Site Training
Training Options
Documentation Hub
On-Site Training
Company Facts
Organization Name
TIMi
Date Founded
2007
Company Location
Belgium
Company Website
timi.eu/timi/
Company Facts
Organization Name
jWork.ORG
Date Founded
2005
Company Location
United States
Company Website
datamelt.org
Categories and Features
Big Data
Collaboration
Data Blends
Data Cleansing
Data Mining
Data Visualization
Data Warehousing
High Volume Processing
No-Code Sandbox
Predictive Analytics
Templates
Business Intelligence
Ad Hoc Reports
Benchmarking
Budgeting & Forecasting
Dashboard
Data Analysis
Key Performance Indicators
Performance Metrics
Predictive Analytics
Profitability Analysis
Strategic Planning
Trend / Problem Indicators
Visual Analytics
Dashboard
Data Source Integrations
Functions / Calculations
Interactive
KPIs
OLAP
Private Dashboards
Public Dashboards
Visual Analytics
Data Analysis
Data Discovery
Data Visualization
High Volume Processing
Predictive Analytics
Regression Analysis
Sentiment Analysis
Statistical Modeling
Text Analytics
Data Cleansing
Data Consolidation / ETL
Data Mapping
Multi Data Format Support
Raw Data Ingestion
Validation / Matching / Reconciliation
Data Discovery
Data Classification
Data Matching
False Positives Reduction
Self Service Data Preparation
Sensitive Data Identification
Visual Analytics
Data Management
Customer Data
Data Analysis
Data Capture
Data Integration
Data Migration
Data Quality Control
Data Security
Information Governance
Match & Merge
Data Mining
Data Extraction
Data Visualization
Fraud Detection
Linked Data Management
Machine Learning
Predictive Modeling
Statistical Analysis
Text Mining
Data Preparation
Collaboration Tools
Data Access
Data Blending
Data Cleansing
Data Mashup
Data Modeling
Data Transformation
Machine Learning
Visual User Interface
Data Visualization
Analytics
Dashboard Creation
OLAP
Visual Discovery
Database
Creation / Development
Data Migration
Data Replication
NOSQL
Queries
ETL
Data Analysis
Data Filtering
Data Quality Control
Job Scheduling
Match & Merge
Metadata Management
Non-Relational Transformations
Version Control
Financial Risk Management
Credit Risk Management
Value At Risk Calculation
Machine Learning
ML Algorithm Library
Model Training
Natural Language Processing (NLP)
Predictive Modeling
Statistical / Mathematical Tools
Templates
Visualization
Marketing Analytics
A/B Testing
Campaign Management
Predictive Analytics
NoSQL Database
Data Model Flexibility
Dynamic Schemas
Predictive Analytics
AI / Machine Learning
Benchmarking
Data Blending
Data Mining
Demand Forecasting
For Education
For Healthcare
Modeling & Simulation
Sentiment Analysis
Preventive Maintenance
Predictive Maintenance
Reporting
Customizable Dashboard
Data Source Connectors
Drag & Drop
Drill Down
Financial Reports
Forecasting
Marketing Reports
OLAP
Report Export
Sales Reports
Scheduled / Automated Reports
Robotic Process Automation (RPA)
Code-free Development
Process Builder
Third Party Application Integration
Unattended Automation
Sales Forecasting
Correlation Analysis
Dashboard
Modeling & Simulation
Sales Trend Analysis
Statistical Analysis
Statistical Analysis
Analytics
Association Discovery
File Management
File Storage
Forecasting
Multivariate Analysis
Regression Analysis
Statistical Process Control
Statistical Simulation
Time Series
Visualization
Categories and Features
Artificial Intelligence
For Healthcare
Image Recognition
Machine Learning
Natural Language Processing
Predictive Analytics
Data Analysis
Data Discovery
Data Visualization
Predictive Analytics
Regression Analysis
Statistical Modeling
Text Analytics
Data Mining
Data Extraction
Data Visualization
Machine Learning
Predictive Modeling
Statistical Analysis
Text Mining
Data Visualization
Analytics
Simulation Models
Visual Discovery
Deep Learning
Convolutional Neural Networks
Document Classification
ML Algorithm Library
Model Training
Self-Learning
Visualization
Education
Not specified
Neural Network
Not specified
Statistical Analysis
Analytics
Association Discovery
Compliance Tracking
File Management
File Storage
Forecasting
Multivariate Analysis
Regression Analysis
Statistical Simulation
Survival Analysis
Time Series
Visualization