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  5. ChartBlocks vs Sisense

ChartBlocks vs Sisense

OverviewComparisonAlternatives

Overview

ChartBlocks
ChartBlocks
Stacks2
Followers18
Votes3
Sisense
Sisense
Stacks50
Followers66
Votes0

ChartBlocks vs Sisense: What are the differences?

ChartBlocks: Import data, design and share a chart in minutes. Or seconds via the API. No coding required. Build a chart in minutes in the easy to use chart designer, choosing from dozens of chart types and then customising it to your needs Pull in data from almost any source and even create charts that pull data from multiple sources. The data import wizard will take you through the process step by step. ; Sisense: Simple drag-and-drop and scalable end-to-end BI processes. 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.

ChartBlocks and Sisense can be primarily classified as "Business Intelligence" tools.

Some of the features offered by ChartBlocks are:

  • SVG charts
  • Image API
  • Interactive SVG chart API

On the other hand, Sisense provides the following key features:

  • Complex business queries without programming or SQL writing
  • Removes limitations to data size
  • Intuitive 'script-less' user interface

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Detailed Comparison

ChartBlocks
ChartBlocks
Sisense
Sisense

No coding required. Build a chart in minutes in the easy to use chart designer, choosing from dozens of chart types and then customising it to your needs. Pull in data from almost any source and even create charts that pull data from multiple sources. The data import wizard will take you through the process step by step.

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.

SVG charts; Image API; Interactive SVG chart API; Able to consume data feeds;
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
2
Stacks
50
Followers
18
Followers
66
Votes
3
Votes
0
Pros & Cons
Pros
  • 1
    Easy
  • 1
    Exportable Charts to PNG Images
  • 1
    Free plan
No community feedback yet
Integrations
No integrations available
AtScale
AtScale
Vertica
Vertica
Dremio
Dremio
DataRobot
DataRobot
Trifacta
Trifacta
SAP HANA
SAP HANA

What are some alternatives to ChartBlocks, 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.

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