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Sisense VS Apache Spark

Compare Sisense VS Apache Spark and see what are their differences

Qrvey
Embedded Analytics built exclusively for SaaS applications. featured
Contents:
  1. » Base Details
  2. » Videos
  3. » Reviews
  4. » Alternatives

Sisense logo Sisense

The BI & Dashboard Software to handle multiple, large data sets.

Apache Spark logo Apache Spark

Apache Spark is an engine for big data processing, with built-in modules for streaming, SQL, machine learning and graph processing.
  • Sisense Landing page
    Landing page //
    2023-10-11

Behind Sisense's drag-and-drop user interface and eye-grabbing visualization options lies a technology that forever changes the world of business analytics software. By removing limitations to data size and performance imposed by in-memory and relational databases, Sisense enables any business to deliver interactive terabyte-scale analytics to thousands of users within hours

  • Apache Spark Landing page
    Landing page //
    2021-12-31

Sisense videos

+ Add

I Evaluated 4 BI Tools: Power BI, Tableau, Google Data Studio, & Sisense. Here's What I Found.

More videos:

  • Review - Sisense Business Intelligence Software: Product Spotlight
  • Demo - Sisense Product Demo

Apache Spark videos

+ Add

Weekly Apache Spark live Code Review -- look at StringIndexer multi-col (Scala) & Python testing

More videos:

  • Review - What's New in Apache Spark 3.0.0
  • Review - Apache Spark for Data Engineering and Analysis - Overview

Category Popularity

0-100% (relative to Sisense and Apache Spark)

Sisense

Apache Spark

Data Dashboard
91 91%
Data Dashboard
9% 9
Databases
0 0%
Databases
100% 100
Business Intelligence
100 100%
Business Intelligence
0% 0
Big Data
0 0%
Big Data
100% 100

User comments

Share your experience with using Sisense and Apache Spark. For example, how are they different and which one is better?
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Reviews

These are some of the external sources and on-site user reviews we've used to compare Sisense and Apache Spark

Sisense Reviews

25 Best Reporting Tools for 2022
Sisense is an agile Business Analytics and Reporting tool that comes with MachineLearning and automation features to deliver Big Data Reporting solutions. It accelerates the data cleaning, report generation, and data ingestion process. Sisense offers an interactive GUI interface for ETL process, modeling and data relationships. Users can install Sisense in Cloud,...
Source: hevodata.com
Top 5 Embedded Analytics Tools for Amazon Redshift (Plus 1 Bonus Option)
You can integrate the embedded version straight into your software, SaaS, or cloud applications. Sisense also offers data analytics and BI features. You can fully customize features such as dashboards, widgets, and data. It provides users with the ability to integrate with other applications to enable authenticated access to Sisense without providing separate login details.
Source: yurbi.com
The Best Data Visualization Tools - Top 30 BI Software
Sisense boasts that it is the only BI reporting software that lets any user easily transform data into stunning interactive reports. Its visualization capabilities offer a simple drag and drop interface which allow charts and more complex graphics, as well as interactive visualizations, to be easily created. You can connect directly to the relevant databases or apps, mash-up...
Source: improvado.io
15 Best Business Intelligence Tools For Small And Big Business
In addition to these features, Sisense also offers intuitive data crunching for beginners, making it a good option for those who are new to using BI solutions. On the other hand, if you are looking for scalability, extensibility, and flexibility, don’t worry. It also comes with API-first approaches for developers. If you’d like to learn more about what Sisense has to offer,...
Source: financesonline.com
List of 10 Best Business Intelligence Software Tools
In addition to these features, Sisense also offers intuitive data crunching for beginners, making it a good option for those who are new to using BI solutions. On the other hand, if you are looking for scalability, extensibility, and flexibility, don’t worry. It also comes with API-first approaches for developers. If you’d like to learn more about what Sisense has to offer,...
Source: financesonline.com

Apache Spark Reviews

15 data science tools to consider using in 2021
Apache Spark is an open source data processing and analytics engine that can handle large amounts of data -- upward of several petabytes, according to proponents. Spark's ability to rapidly process data has fueled significant growth in the use of the platform since it was created in 2009, helping to make the Spark project one of the largest open source communities among big...
Source: searchbusinessanalytics.techtarget.com
Top 15 Kafka Alternatives Popular In 2021
Apache Spark is a well-known, general-purpose, open-source analytics engine for large-scale, core data processing. It is known for its high-performance quality for data processing – batch and streaming with the help of its DAG scheduler, query optimizer, and engine. Data streams are processed in real-time and hence it is quite fast and efficient. Its machine learning...
Source: www.spec-india.com
5 Best-Performing Tools that Build Real-Time Data Pipeline
Apache Spark is an open-source and flexible in-memory framework which serves as an alternative to map-reduce for handling batch, real-time analytics and data processing workloads. It provides native bindings for the Java, Scala, Python, and R programming languages, and supports SQL, streaming data, machine learning and graph processing. From its beginning in the AMPLab at...
Source: www.analyticsinsight.net

Social recommendations and mentions

Based on our record, Apache Spark seems to be more popular. It has been mentiond 56 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

Sisense mentions (0)

We have not tracked any mentions of Sisense yet. Tracking of Sisense recommendations started around Mar 2021.

Apache Spark mentions (56)

  • Groovy 🎷 Cheat Sheet - 01 Say "Hello" from Groovy
    Recently I had to revisit the "JVM languages universe" again. Yes, language(s), plural! Java isn't the only language that uses the JVM. I previously used Scala, which is a JVM language, to use Apache Spark for Data Engineering workloads, but this is for another post 😉. - Source: dev.to / 3 months ago
  • 🦿🛴Smarcity garbage reporting automation w/ ollama
    Consume data into third party software (then let Open Search or Apache Spark or Apache Pinot) for analysis/datascience, GIS systems (so you can put reports on a map) or any ticket management system. - Source: dev.to / 4 months ago
  • Go concurrency simplified. Part 4: Post office as a data pipeline
    Also, this knowledge applies to learning more about data engineering, as this field of software engineering relies heavily on the event-driven approach via tools like Spark, Flink, Kafka, etc. - Source: dev.to / 5 months ago
  • Five Apache projects you probably didn't know about
    Apache SeaTunnel is a data integration platform that offers the three pillars of data pipelines: sources, transforms, and sinks. It offers an abstract API over three possible engines: the Zeta engine from SeaTunnel or a wrapper around Apache Spark or Apache Flink. Be careful, as each engine comes with its own set of features. - Source: dev.to / 5 months ago
  • Spark – A micro framework for creating web applications in Kotlin and Java
    A JVM based framework named "Spark", when https://spark.apache.org exists? - Source: Hacker News / 11 months ago
View more

What are some alternatives?

When comparing Sisense and Apache Spark, you can also consider the following products

Looker - Looker makes it easy for analysts to create and curate custom data experiences—so everyone in the business can explore the data that matters to them, in the context that makes it truly meaningful.

Apache Flink - Flink is a streaming dataflow engine that provides data distribution, communication, and fault tolerance for distributed computations.

Domo - Domo: business intelligence, data visualization, dashboards and reporting all together. Simplify your big data and improve your business with Domo's agile and mobile-ready platform.

Apache Airflow - Airflow is a platform to programmaticaly author, schedule and monitor data pipelines.

Qlik - Qlik offers an Active Intelligence platform, delivering end-to-end, real-time data integration and analytics cloud solutions to close the gaps between data, insights, and action.

Hadoop - Open-source software for reliable, scalable, distributed computing

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