SaaSipedia

Apache Spark

spark.apache.org
Analytics
Weekend Project

Unified engine for large-scale data analytics

How to Replace Apache Spark
Compare:vs Mouseflowvs Statsigvs Matomo

Overview

Apache Spark is a multi-language engine for executing data engineering, data science, and machine learning on single-node machines or clusters. It provides a unified platform for batch and real-time streaming data processing, SQL analytics, and machine learning at scale. The engine is designed to be simple, fast, scalable, and unified across multiple programming languages.

Features

12 features across 10 categories

Analytics(2)

ANSI SQL Support

Use standard SQL syntax compatible with existing SQL knowledge

SQL Analytics

Execute fast, distributed ANSI SQL queries for dashboarding and ad-hoc reporting. Runs faster than most data warehouses

Also in: Hugging Face, Notion, Smartsheet

Data Processing(2)

Batch/Streaming Data Processing

Unify the processing of data in batches and real-time streaming using preferred languages: Python, SQL, Scala, Java or R

Structured and Unstructured Data Support

Spark SQL works on structured tables and unstructured data such as JSON or images

Also in: Power Automate, MuleSoft, Looker

Data Science(1)

Exploratory Data Analysis (EDA)

Perform Exploratory Data Analysis on petabyte-scale data without having to resort to downsampling

Also in: Pyramid Analytics, Coursera

Deployment(1)

Docker Support

Official Docker images available for easy deployment and setup

Also in: Kubernetes Dashboard, Hugging Face, Bitwarden

Developer Experience(1)

Multi-Language Support

Support for Python, SQL, Scala, Java and R programming languages

Also in: Zuplo, MuleSoft, Gloo Gateway

Engine(1)

Distributed SQL Engine

Built on an advanced distributed SQL engine for large-scale data processing

Also in: Directus

Infrastructure(1)

Fault-Tolerant Cluster Computing

Scale to fault-tolerant clusters of thousands of machines

Also in: Litmos, marvel-app, LiveKit

Installation(1)

PIP Installation

Easy installation via pip for Python users

Also in: Matomo, Grav, Jenkins

Machine Learning(1)

Machine LearningAI

Train machine learning algorithms on a laptop and use the same code to scale to fault-tolerant clusters of thousands of machines

Performance(1)

Adaptive Query Execution

Spark SQL adapts the execution plan at runtime, automatically setting the number of reducers and join algorithms. Accelerates queries up to 8x

Cost Calculator

Pricing data not available for Apache Spark. Check their website for current pricing.

Build vs Buy

Should you build a Apache Spark alternative or buy the subscription? Estimate based on 12 features.

Buy Apache Spark

Better Value
Monthly costContact Sales
3-year totalVaries
Time to deployDays

Build Your Own

Development cost$12,000
Maintenance$180/mo
3-year total$18,480
Dev time~1 months

Buying Apache Spark saves ~$18,480 over 3 years vs building.

Estimates based on 12 features and a BuildScore of 5/5. Actual costs vary.

Integrations

4 known integrations

Data Science FrameworksMachine Learning FrameworksSQL Analytics and BI ToolsStorage and Infrastructure