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Description

Megaladata is a high-speed low-code platform that empowers business users to develop sophisticated analytics workflows without requiring coding expertise or IT assistance. Featuring a user-friendly visual interface, it supports seamless integration with a wide range of data sources, making data consolidation straightforward. Its powerful in-memory computing and parallelism capabilities enable rapid processing of large and complex datasets, ensuring timely insights. The platform promotes scalability and knowledge retention through reusable components that capture business expertise for future use. With interactive visualizations like OLAP cubes, tables, and charts, users can quickly translate analytical ideas into real-world business processes. Megaladata streamlines advanced analytics, removing common technical obstacles for non-developers. It helps organizations improve agility and efficiency in handling data. Ultimately, Megaladata facilitates faster, more effective data-driven decision-making across teams.

Description

Zerve is the agentic data workspace designed for anyone who works with data, from solo analysts, data scientists and business users alike. Zerve brings together exploration, advanced analysis, collaboration, and production deployment into a single AI-native environment, so that important data work doesn’t stall, break, or disappear. Zerve is used by data professionals in companies such as BBC, QVC, Dun & Bradstreet, Airbus, and many others. Zerve makes advanced data work accessible, durable, and deployable from day one, starting with the messy, real-world data most projects begin with. At the heart of Zerve is a new way for humans and AI agents to work together. Zerve’s AI agents understand the full context of a project and actively help plan, build, debug, and iterate across multi-step analyses. Agents can assist with tasks like cleaning and transforming data, identifying issues, and testing approaches, reducing the manual effort that slows teams down. This means working at a higher level of abstraction without being slowed by setup or syntax. With Zerve, you always have an expert data scientist at your side, guiding decisions, suggesting next steps, and taking action. Unlike traditional data notebooks, workflows in Zerve are reproducible and stable. Users can work across Python, SQL, and R in a single workspace, connect directly to databases, data lakes, and warehouses, and integrate with Git for version control. The built-in distributed computing engine powers massively parallel execution for large-scale analysis, simulations, and AI workloads, with multi-agent orchestration coordinating complex pipelines behind the scenes. Zerve can be used as SaaS, self-hosted, or even on-premise for regulated environments.

API Access

Has API Yes 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

MySQL Yes 
PostgreSQL Yes 
Python Yes 
Amazon API Gateway No 
Amazon Web Services (AWS) No 
ClickHouse Yes 
Docker No 
Firebird Yes 
GitHub No 
Google Cloud BigQuery Yes 
InterBase Yes 
MariaDB No 
Microsoft Access Yes 
Microsoft Excel Yes 
Oracle API Catalog Yes 
Oracle Access Management Yes 
R No 
SQL No 
Snowflake No 
WordPad Yes 

Integrations

MySQL Yes 
PostgreSQL Yes 
Python Yes 
Amazon API Gateway Yes 
Amazon Web Services (AWS) Yes 
ClickHouse No 
Docker Yes 
Firebird No 
GitHub Yes 
Google Cloud BigQuery No 
InterBase No 
MariaDB Yes 
Microsoft Access No 
Microsoft Excel No 
Oracle API Catalog No 
Oracle Access Management No 
R Yes 
SQL Yes 
Snowflake Yes 
WordPad No 

Pricing Details

Free, Community Edition
-Community Edition (Desktop, non-commercial use): Free
-Personal (Desktop): $399/year
-Team (Server): $21900/year
-Standard (Server): $33300/year
-Enterprise (Server): $78000/year
Free Trial Yes 
Free Version Yes 

Pricing Details

$0
Pro $20/mo, Team $40/mo, Enterprise custom pricing.
Free Trial No 
Free Version Yes 

Deployment

Web-Based Yes 
On-Premises Yes 
iPhone App No 
iPad App No 
Android App No 
Windows Yes 
Mac Yes 
Linux Yes 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises Yes 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs No 
Webinars Yes 
Live Training (Online) Yes 
In Person No 

Types of Training

Training Docs Yes 
Webinars Yes 
Live Training (Online) Yes 
In Person Yes 

Vendor Details

Company Name

Megaladata

Founded

2017

Country

Armenia

Website

megaladata.com

Vendor Details

Company Name

Zerve AI

Founded

2023

Country

Ireland

Website

www.zerve.ai/

Product Features

Data Analysis

Data Discovery Yes 
Data Visualization Yes 
High Volume Processing Yes 
Predictive Analytics Yes 
Regression Analysis Yes 
Sentiment Analysis No 
Statistical Modeling Yes 
Text Analytics No 

Product Features

Data Analysis

Data Discovery No 
Data Visualization No 
High Volume Processing No 
Predictive Analytics No 
Regression Analysis No 
Sentiment Analysis No 
Statistical Modeling No 
Text Analytics No 

Data Science

Access Control Yes 
Advanced Modeling Yes 
Audit Logs Yes 
Data Discovery Yes 
Data Ingestion Yes 
Data Preparation Yes 
Data Visualization Yes 
Model Deployment Yes 
Reports Yes 

Data Visualization

Analytics No 
Content Management No 
Dashboard Creation No 
Filtered Views No 
OLAP No 
Relational Display No 
Simulation Models No 
Visual Discovery No 

Machine Learning

Deep Learning Yes 
ML Algorithm Library Yes 
Model Training Yes 
Natural Language Processing (NLP) Yes 
Predictive Modeling Yes 
Statistical / Mathematical Tools Yes 
Templates Yes 
Visualization Yes 

Alternatives

Alternatives