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Apache Spark VS Wasabi Cloud Object Storage

Compare Apache Spark VS Wasabi Cloud Object Storage and see what are their differences

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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.

Wasabi Cloud Object Storage logo Wasabi Cloud Object Storage

Storage made simple. Faster than Amazon's S3. Less expensive than Glacier.
  • Apache Spark Landing page
    Landing page //
    2021-12-31
  • Wasabi Cloud Object Storage Landing page
    Landing page //
    2025-04-16

Wasabi Hot Cloud Storage is a scalable, cloud-based object storage service for various applications. It allows storing any type of data in any format, offering high-performance, reliability, and security at a minimal cost. Ideal for individuals and organizations seeking affordable, dependable data storage, Wasabi provides a highly durable and fault-tolerant infrastructure, ensuring data is always accessible and protected. With features like immutable buckets, versioning, and encryption, Wasabi ensures data integrity and security, making it a trusted choice for businesses and individuals alike.

Apache Spark

Website
spark.apache.org
Pricing URL
-
$ Details
Release Date
-
Edit details

Wasabi Cloud Object Storage

Website
wasabi.com
Pricing URL
Official Wasabi Cloud Object Storage Pricing
$ Details
-
Release Date
2015 January
Startup details
Country
United States
State
Massachusetts
City
Boston
Founder(s)
David Friend
Employees
100 - 249
Edit details

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.

Wasabi Cloud Object Storage features and specs

  • Cost-Effective
    Wasabi offers competitive pricing for cloud storage without any hidden fees, making it a cost-effective option for businesses of all sizes.
  • High Performance
    Wasabi provides high-speed data retrieval and upload, which is ideal for applications requiring fast access to stored data.
  • Simple Pricing Model
    There are no fees for egress or API requests, which simplifies budgeting and cost management.
  • Scalability
    Wasabi's storage solutions can scale to meet the needs of growing businesses, providing flexibility as data storage requirements increase.
  • Security
    Wasabi offers strong security features, including data encryption both in transit and at rest, ensuring the safety of stored data.
  • S3 Compatibility
    Wasabi's storage service is compatible with the Amazon S3 API, making it easier for users to integrate with existing tools and workflows.

Possible disadvantages of Wasabi Cloud Object Storage

  • Limited Services
    Compared to larger cloud providers like AWS or Google Cloud, Wasabi focuses primarily on storage and offers fewer ancillary services and features.
  • Geographical Availability
    Wasabi has fewer data center locations worldwide compared to major competitors, which might impact performance for users in certain regions.
  • Customer Support
    While Wasabi offers customer support, it may not be as comprehensive or as responsive as the support provided by larger cloud service providers.
  • Ecosystem Integration
    Although it supports S3 compatibility, Wasabi might not integrate as seamlessly with other cloud ecosystem services beyond storage.
  • No Free Tier
    Unlike some competitors, Wasabi does not offer a free tier for basic storage needs, which could be a drawback for small businesses or startups.

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

Wasabi Cloud Object Storage videos

+ Add

Introduction to Wasabi Hot Cloud Storage

More videos:

  • Review - Introduction to Wasabi Hot Cloud Storage (August 2021) | Wasabi

Category Popularity

0-100% (relative to Apache Spark and Wasabi Cloud Object Storage)

Apache Spark

Wasabi Cloud Object Storage

Databases
100 100%
Databases
0% 0
Cloud Storage
0 0%
Cloud Storage
100% 100
Big Data
100 100%
Big Data
0% 0
Cloud Computing
0 0%
Cloud Computing
100% 100

User comments

Share your experience with using Apache Spark and Wasabi Cloud Object Storage. 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 Apache Spark and Wasabi Cloud Object Storage

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

Wasabi Cloud Object Storage Reviews

7 Best Amazon S3 Alternatives & Competitors in 2024
Wasabi hot storage differentiates itself against industry giants like Amazon S3 by offering storage that’s six times faster and up to 80% cheaper.
Source: diggitymarketing.com
Wasabi, Storj, Backblaze et al, are promising 80%+ savings compared to Amazon S3... What's the catch?
On the surface, Wasabi looks appealing with a simple pricing structure ($5.99/TB/mo) that comes with free egress and free operations. How can Wasabi afford this, you ask? Well, their business model relies on their user-base keeping their data stored (and unchanged) for some time and not consuming more than their fair share of resources, which they regulate via a handful of...
Source: dev.to

Social recommendations and mentions

Wasabi Cloud Object Storage might be a bit more popular than Apache Spark. We know about 70 links to it since March 2021 and only 70 links to Apache Spark. 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 / about 1 month 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 / about 1 month 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 / 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 / 3 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
View more

Wasabi Cloud Object Storage mentions (70)

  • Using ColdFusion to Generate Pre-Signed Wasabi Download URL
    There was an internal decision to use Wasabi Cloud Storage instead of Amazon S3 and I needed to use ColdFusion to generate a pre-signed URL to allow access to AI-generated content for a limited time. I had used the Sv4Util.cfc and aws-cfml libraries before with Amazon and thought it was just as simple, but I got confused somewhere along the way and it just wasn't working. - Source: dev.to / 2 months ago
  • How much 1 TB of egress costs by cloud provider
    This table is missing Wasabi [0], which has free egress. [0]: https://wasabi.com. - Source: Hacker News / over 1 year ago
  • What makes backblaze better than some of the other options out there?
    Backblaze is great because it's a set price, unlimited, and I don't have to think twice about it. I use Arq to backup my machine + external drives (several drives with lots of photos) to my local NAS. Was sending data to Wasabi, but the costs got out of control. I can purchase a year's worth of Backblaze + the 1 year revision upgrade for much, much less of what I was paying at Wasabi. Source: almost 2 years ago
  • The NixOS Foundation’s Call to Action: S3 Costs Require Community Support
    What about looking at Wasabi? It’s $5.99 per TB per month https://wasabi.com. - Source: Hacker News / almost 2 years ago
  • A web application that will need to store lots of image files. The company wants to use Dropbox for image storage. Is this okay?
    No, use AWS S3 or https://wasabi.com/ if you are worried about cost. Source: almost 2 years ago
View more

What are some alternatives?

When comparing Apache Spark and Wasabi Cloud Object Storage, 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.

Amazon S3 - Amazon S3 is an object storage where users can store data from their business on a safe, cloud-based platform. Amazon S3 operates in 54 availability zones within 18 graphic regions and 1 local region.

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

Contabo Object Storage - S3-compatible cloud object storage with unlimited, free transfer at a fraction of what others charge. Easy migration & predictable billing. Sign up now & save.

Apache Storm - Apache Storm is a free and open source distributed realtime computation system.

Hetzner Object Storage - Scalable object storage, S3-compatible and ideal for growing data volumes. Secure and flexible for efficient data storage.

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