Software Alternatives, Accelerators & Startups

Apache Spark VS Hive

Compare Apache Spark VS Hive and see what are their differences

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.

Hive logo Hive

Seamless project management and collaboration for your team.
Visit Website
  • Apache Spark Landing page
    Landing page //
    2021-12-31
  • Hive Landing page
    Landing page //
    2021-03-01

Hive is the powerful project management tool built to help teams move faster. Used by teams at Starbucks, Comcast and Toyota, Hive gives teams the ability to manage projects, communicate effectively, and analyze team productivity stats.

The basis of Hive is action cards, which can be organized into projects and collaborated on by several team members. Cards are assigned due dates and subtasks, and can be viewed flexibly in Gantt, Kanban, calendar or table view. Hive also has native chat and a first-of-its-kind email integration, which enables the tool to act as an all-in-one hub for businesses of all sizes, empowering efficiency and innovation.

Apache Spark

Pricing URL
-
$ Details
Platforms
-
Release Date
-

Hive

Website
hive.com
$ Details
$12.0 / Monthly (Per user)
Platforms
iOS Android Windows Mac OSX Browser
Release Date
2016 January
Startup details
Country
United States
State
New York
City
New York
Founder(s)
Brett Knutson
Employees
50 - 99

Apache Spark features and specs

  • Speed
    Apache Spark processes data in-memory, significantly increasing the processing speed of data tasks compared to traditional disk-based engines.
  • Ease of Use
    Spark offers high-level APIs in Java, Scala, Python, and R, making it accessible to a broad range of developers and data scientists.
  • Advanced Analytics
    Spark supports advanced analytics, including machine learning, graph processing, and real-time streaming, which can be executed in the same application.
  • Scalability
    Spark can handle both small- and large-scale data processing tasks, scaling seamlessly from a single machine to thousands of servers.
  • Support for Various Data Sources
    Spark can integrate with a wide variety of data sources, including HDFS, Apache HBase, Apache Hive, Cassandra, and many others.
  • Active Community
    Spark has a vibrant and active community, providing a wealth of extensions, tools, and support options.

Possible disadvantages of Apache Spark

  • Memory Consumption
    Spark's in-memory processing can be resource-intensive, requiring substantial amounts of RAM, which can drive up costs for large-scale deployments.
  • Complexity in Configuration
    To optimize performance, Spark requires careful configuration and tuning, which can be complex and time-consuming.
  • Learning Curve
    Despite its ease of use, mastering the full range of Spark's features and best practices can take considerable time and effort.
  • Latency for Small Data
    For smaller datasets or low-latency requirements, Spark might not be the most efficient choice, as other technologies could offer better performance.
  • Integration Overhead
    Though Spark integrates with many systems, incorporating it into an existing data infrastructure can introduce additional overhead and complexity.
  • Community Support Variability
    While the community is active, the support and quality of third-party libraries and tools can be inconsistent, leading to potential challenges in implementation.

Hive features and specs

  • Free Trial
    14 day free trial
  • Integrations
    Integrates with email, Slack, Dropbox, and more
  • File sharing
    Ability to share files in Hive
  • Easy to Set-up and use
    Simple workspace set up
  • Analytics and Reporting
    Personalized analytics

Apache Spark videos

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

Hive videos

Using Hive As A Leader, Manager, or User

More videos:

  • Review - Hive Review – Compact Project Management Software for Teamwork Optimization

Category Popularity

0-100% (relative to Apache Spark and Hive)
Databases
51 51%
49% 49
Productivity
0 0%
100% 100
Big Data
100 100%
0% 0
Project Management
0 0%
100% 100

User comments

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Reviews

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

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...
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...
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...

Hive Reviews

Top 12 Online Collaboration Tools for Smart Working
Hive ranks among the top online collaboration platforms by consolidating all work-related activities into a unified dashboard. The versatility and accessibility of various project management systems, emphasizing their ease of use and capabilities for organizing tasks and tracking assignments, make Hive a standout choice. Teams can handle tasks, engage in live discussions,...
Source: niftypm.com
25 Best Asana Alternatives & Competitors for Project Management in 2024
Hive provides task management, project planning templates, and time tracking to reflect how you work on a day-to-day basis. Choose from Hive’s thousands of integrations to get the information you need from multiple sources into one centralized location. Users can also create personalized to-do lists and automate their workflow for greater efficiency.
Source: clickup.com
20 Obsidian Alternatives: Top Note-Taking Tools to Consider
Hive comes with multiple ways to view your notes, including Kanban, table, calendar, and portfolio. This project management app also features time-tracking capabilities and collaborative note-taking.
Source: clickup.com
16 Best Asana Alternatives of 2024 (Free + Paid)
Hive is a relatively new Asana alternative that serves businesses of all sizes. It has features that help manage teams, foster collaboration and automate workflows. It’s one of the easier-to-use apps on this list, with accessible and responsible customer service. There’s a template library to help get you started, too. Advanced analytics help with budgeting and users can...
A Jack of All Trades vs Dedicated Workflow Management
It’s a very solid all-rounder, but there is a reason they say a Jack of all trades is a master of none. Hive excels in terms of how much stuff it offers. You really can do all your work from Hive. The biggest selling point is you don’t need to have multiple tabs open in your browser, you can work within the same tab where Hive is loaded in, switching between the menu options...

Social recommendations and mentions

Based on our record, Apache Spark should be more popular than Hive. It has been mentiond 70 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.

Apache Spark mentions (70)

  • Every Database Will Support Iceberg — Here's Why
    Apache Iceberg defines a table format that separates how data is stored from how data is queried. Any engine that implements the Iceberg integration — Spark, Flink, Trino, DuckDB, Snowflake, RisingWave — can read and/or write Iceberg data directly. - Source: dev.to / 15 days ago
  • How to Reduce Big Data Analytics Costs by 90% with Karpenter and Spark
    Apache Spark powers large-scale data analytics and machine learning, but as workloads grow exponentially, traditional static resource allocation leads to 30–50% resource waste due to idle Executors and suboptimal instance selection. - Source: dev.to / 17 days ago
  • Unveiling the Apache License 2.0: A Deep Dive into Open Source Freedom
    One of the key attributes of Apache License 2.0 is its flexible nature. Permitting use in both proprietary and open source environments, it has become the go-to choice for innovative projects ranging from the Apache HTTP Server to large-scale initiatives like Apache Spark and Hadoop. This flexibility is not solely legal; it is also philosophical. The license is designed to encourage transparency and maintain a... - Source: dev.to / about 2 months ago
  • The Application of Java Programming In Data Analysis and Artificial Intelligence
    [1] S. Russell and P. Norvig, Artificial Intelligence: A Modern Approach. Pearson, 2020. [2] F. Chollet, Deep Learning with Python. Manning Publications, 2018. [3] C. C. Aggarwal, Data Mining: The Textbook. Springer, 2015. [4] J. Dean and S. Ghemawat, "MapReduce: Simplified Data Processing on Large Clusters," Communications of the ACM, vol. 51, no. 1, pp. 107-113, 2008. [5] Apache Software Foundation, "Apache... - Source: dev.to / about 2 months ago
  • Automating Enhanced Due Diligence in Regulated Applications
    If you're designing an event-based pipeline, you can use a data streaming tool like Kafka to process data as it's collected by the pipeline. For a setup that already has data stored, you can use tools like Apache Spark to batch process and clean it before moving ahead with the pipeline. - Source: dev.to / 3 months ago
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Hive mentions (9)

  • Best app for a calendar/time block to do list
    I use Hive hive.com , which is also a project management tool. I sync it with my google calendar for work-related things and with my calendar app on iPhone for home/family-related things. Guess I could use just one calendar and use tags, but this system works best for me. What I like about Hive is that I can create a time block right from my task dashboard, the app also let me start notes from a meeting straight... Source: almost 2 years ago
  • ClickUp Release Notes 2.174
    You could check out hive.com. Quite OK, though not as good as ClickUp. But free as a single user. Source: about 2 years ago
  • Project Management Software Recommendation for Creative Agency
    Try out https://hive.com/. We tried it out and it wasn't quite what we needed it for, but it seems great for project management. They even had a desktop app and it was free! Oh an internal chat and email integration too. Source: about 2 years ago
  • Breaking Into Legal Tech
    Make • Build and automate workflows InvoiceBerry • Online invoicing for small businesses Gusto • Payroll, benefits and HR management Hive • Manage tasks, workflows and team’s work Lanva • Social video editing app. ClickUp • Manage tasks, docs, chat, goals and more Plausible • Open-source privacy-friendly web analytics Podcast Hawk • Podcast guest booking software. Writesonic • AI-driven content... Source: over 2 years ago
  • PM tool suggestions for personal use and transferrable skills
    Another pjm-tool for personal use which is worth checking out is Hive. Loads of features for free, even Gantt-charts. And it is possible to export data in xml (in gantt-view). Source: over 2 years ago
View more

What are some alternatives?

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

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

Wrike - Wrike is a flexible, scalable, and easy-to-use collaborative work management software that helps high-performance teams organize and accomplish their work. Try it now.

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

Basecamp - A simple and elegant project management system.

Apache Hive - Apache Hive data warehouse software facilitates querying and managing large datasets residing in distributed storage.

Asana - Asana project management is an effort to re-imagine how we work together, through modern productivity software. Fast and versatile, Asana helps individuals and groups get more done.