
Apache Spark
The Astronaut's Review
Expert analysis by The Software Astronaut
Astronaut's Score
The Verdict
Apache Spark is a robust and flexible platform for large-scale data processing. It offers high-level APIs and an optimized engine, making it a solid choice for data-intensive workflows.
Our Take
Apache Spark provides extensive support for diverse data sources and is GDPR compliant, making it a strong choice for organizations with strict data privacy requirements. Its open-source nature and community support make it accessible to a wide range of users.
Best For
- Data analysts and engineers working on large-scale data processing workflows
- Organizations with strict data privacy requirements (GDPR compliance)
Consider Alternatives If
- Lacks native support for webhooks and Zapier integration
- No dedicated account manager for support
Rating Breakdown
In-Depth Analysis
Overview
Apache Spark is a mature and robust platform with a wide range of features, making it a solid choice for large-scale data processing workflows. Its open-source nature and community support make it accessible to a wide range of users.
Ease of Use
Apache Spark is easy to use, with high-level APIs available for various programming languages. It also offers comprehensive documentation and community support.
Key Strengths
- High-level APIs for various programming languages
- Optimized engine for general execution graphs
- Support for diverse data sources
- GDPR compliance
- Open-source and free
Limitations to Consider
- Lacks native support for webhooks and Zapier integration
- No dedicated account manager for support
Pricing Analysis
Apache Spark is free, making it an excellent choice for organizations looking for a cost-effective solution. However, commercial distribution options are available from vendors such as Databricks, Cloudera, and Hortonworks.
Final Thoughts
Apache Spark is a solid choice for large-scale data processing workflows. Its open-source nature, comprehensive feature set, and community support make it a valuable tool for data analysts and engineers.
Top-Rated Alternatives
Explore other highly-rated Analytics & BI options to find the best fit for your needs.
Popular Integrations
Apache Spark works seamlessly with these popular tools to enhance your workflow.
Note: Integration availability may vary based on your subscription plan. Visit the official Apache Spark website or check our individual product pages for the most up-to-date integration information.
About Apache Spark
Apache Spark is a unified analytics engine for large-scale data processing that provides high-level APIs in Java, Scala, Python, and R, and an optimized engine that supports general execution graphs.
Key Features
Feature Availability
| Feature | Apache Spark |
|---|---|
Cloud-Based Accessible from any device with internet | |
Mobile App Native mobile applications available | Partial |
API Access Programmatic access for integrations | Partial |
Free Trial Try before you buy | |
Free Tier Permanently free plan available | |
24/7 Support Round-the-clock customer assistance | Partial |
SSO/SAML Enterprise single sign-on | Partial |
Data Export Export your data anytime | |
Integrations Connect with other tools | |
Custom Branding White-label capabilities | Partial |
Pricing Overview
Apache Spark is open source and available for free under the Apache License 2.0. Users can download and use it without any licensing fees. However, there are commercial distribution options available from vendors such as Databricks, Cloudera, and Hortonworks.
Integration & API
- API Supported
- Yes
- API Auth Methods
- Not specified
- API Protocols
- Not specified
- Native Integrations
- HadoopKafkaHiveHBaseHudi
- Marketplace
- Not specified
- Zapier
- No
Security & Compliance
- Certifications
- Not specified
- Encryption
- Not specified
- Compliance
- GDPR
- Uptime SLA
- Not specified
User Management
- Custom Profiles
- Not specified
- SSO Providers
- SSO
- Data Encryption
- SSL/TLSAES-256 at rest
- MFA Supported
- Yes
Customization
- Custom Objects
- Not specified
- Custom Fields
- Yes
- Custom Workflows
- Yes
- Custom Reports
- Yes
- Custom Branding
- No
- Coding Capability
- Not specified
Mobile
- Mobile App
- Yes
- Platforms
- iOSAndroid
- Mobile Pricing
- Not specified
Delivery & Infrastructure
- Deployment Type
- Cloud
- Browsers
- Not specified
- Data Centers
- Not specified
- Languages
- Not specified
Pricing & Licensing
- Contract Duration
- Not specified
- License Mix
- Yes
- Trial Days
- Not specified
- Currency
- Not specified
Support
- Channels
- Community forumsJIRAStack Overflow
- Hours
- Not specified
- Dedicated Manager
- No
- Training
- Yes
Get Started
Pricing
Apache Spark is open source and available for free under the Apache License 2.0. Users can download and use it without any licensing fees. However, there are commercial distribution options available from vendors such as Databricks, Cloudera, and Hortonworks.
Vendor
Apache Software Foundation
Category
Analytics & BI
Status
Listed Software
