StackShareStackShare
Follow on
StackShare

Discover and share technology stacks from companies around the world.

Follow on

© 2025 StackShare. All rights reserved.

Product

  • Stacks
  • Tools
  • Feed

Company

  • About
  • Contact

Legal

  • Privacy Policy
  • Terms of Service
  1. Stackups
  2. Utilities
  3. Business Intelligence
  4. Business Intelligence
  5. Jaime vs Sisense

Jaime vs Sisense

OverviewComparisonAlternatives

Overview

Jaime
Jaime
Stacks0
Followers9
Votes0
Sisense
Sisense
Stacks50
Followers66
Votes0

Jaime vs Sisense: What are the differences?

Introduction

Key differences between Jaime and Sisense are outlined below.

  1. Deployment: Jaime is a cloud-based platform, whereas Sisense offers on-premises as well as cloud deployment options, allowing for greater customization and control over data management and security.
  2. User Interface: Jaime provides a more intuitive and user-friendly interface, making it easier for non-technical users to create and analyze data visualizations, while Sisense offers more advanced features and customization options for data professionals.
  3. Integration Capabilities: Sisense has robust integration capabilities with a wide range of data sources and applications, allowing for seamless data connectivity and workflow automation, whereas Jaime may have limitations in certain integration options.
  4. Scalability: Sisense is known for its scalability and ability to handle large volumes of data without compromising performance, making it suitable for enterprise-level usage, while Jaime may be more suitable for small to medium-sized businesses with less intensive data needs.
  5. Cost: Jaime is generally more cost-effective for smaller businesses with limited budgets, offering subscription-based pricing models, while Sisense may involve higher upfront costs but provides more extensive features and capabilities for larger organizations.
  6. Customization: Sisense offers more extensive customization options for users to tailor their dashboards and reports to specific business requirements, allowing for greater flexibility in data visualization and analysis compared to Jaime's more standardized templates and layouts.

In Summary, the key differences between Jaime and Sisense lie in their deployment options, user interfaces, integration capabilities, scalability, cost, and customization features.

Share your Stack

Help developers discover the tools you use. Get visibility for your team's tech choices and contribute to the community's knowledge.

View Docs
CLI (Node.js)
or
Manual

Detailed Comparison

Jaime
Jaime
Sisense
Sisense

Easily and quickly create shareable reports with charts and tables by running SQL queries directly to your database.

It is making business intelligence (BI) analytics easy with its simple drag-and-drop and scalable end-to-end BI processes that help to prepare, analyze, and visualize multiple complex datasets quickly.

Get started fast - Just connect to your database and start querying, set up everything in 1 minute.; Protect your data - Jaime works on your computer and all conections to the database are made locally, our servers never hit your database; Share with your team - Get a shareable link for a dashboard and let your team see all the insights.
Complex business queries without programming or SQL writing; Removes limitations to data size; Intuitive 'script-less' user interface; Consolidates, stores and accumulates data; Data mash-ups; Can be set up and used entirely in-house; Handles data at scale on a single commodity server.
Statistics
Stacks
0
Stacks
50
Followers
9
Followers
66
Votes
0
Votes
0
Integrations
MySQL
MySQL
PostgreSQL
PostgreSQL
SQLite
SQLite
Google BigQuery
Google BigQuery
AtScale
AtScale
Vertica
Vertica
Dremio
Dremio
DataRobot
DataRobot
Trifacta
Trifacta
SAP HANA
SAP HANA

What are some alternatives to Jaime, Sisense?

Metabase

Metabase

It is an easy way to generate charts and dashboards, ask simple ad hoc queries without using SQL, and see detailed information about rows in your Database. You can set it up in under 5 minutes, and then give yourself and others a place to ask simple questions and understand the data your application is generating.

Superset

Superset

Superset's main goal is to make it easy to slice, dice and visualize data. It empowers users to perform analytics at the speed of thought.

Cube

Cube

Cube: the universal semantic layer that makes it easy to connect BI silos, embed analytics, and power your data apps and AI with context.

Power BI

Power BI

It aims to provide interactive visualizations and business intelligence capabilities with an interface simple enough for end users to create their own reports and dashboards.

Mode

Mode

Created by analysts, for analysts, Mode is a SQL-based analytics tool that connects directly to your database. Mode is designed to alleviate the bottlenecks in today's analytical workflow and drive collaboration around data projects.

Google Datastudio

Google Datastudio

It lets you create reports and data visualizations. Data Sources are reusable components that connect a report to your data, such as Google Analytics, Google Sheets, Google AdWords and so forth. You can unlock the power of your data with interactive dashboards and engaging reports that inspire smarter business decisions.

AskNed

AskNed

AskNed is an analytics platform where enterprise users can get answers from their data by simply typing questions in plain English.

Shiny

Shiny

It is an open source R package that provides an elegant and powerful web framework for building web applications using R. It helps you turn your analyses into interactive web applications without requiring HTML, CSS, or JavaScript knowledge.

Redash

Redash

Redash helps you make sense of your data. Connect and query your data sources, build dashboards to visualize data and share them with your company.

Azure Synapse

Azure Synapse

It is an analytics service that brings together enterprise data warehousing and Big Data analytics. It gives you the freedom to query data on your terms, using either serverless on-demand or provisioned resources—at scale. It brings these two worlds together with a unified experience to ingest, prepare, manage, and serve data for immediate BI and machine learning needs.

Related Comparisons

Postman
Swagger UI

Postman vs Swagger UI

Mapbox
Google Maps

Google Maps vs Mapbox

Mapbox
Leaflet

Leaflet vs Mapbox vs OpenLayers

Twilio SendGrid
Mailgun

Mailgun vs Mandrill vs SendGrid

Runscope
Postman

Paw vs Postman vs Runscope