Software Alternatives, Accelerators & Startups

Apache Arrow VS Amazon AWS

Compare Apache Arrow VS Amazon AWS and see what are their differences

Note: These products don't have any matching categories. If you think this is a mistake, please edit the details of one of the products and suggest appropriate categories.

Apache Arrow logo Apache Arrow

Apache Arrow is a cross-language development platform for in-memory data.

Amazon AWS logo Amazon AWS

Amazon Web Services offers reliable, scalable, and inexpensive cloud computing services. Free to join, pay only for what you use.
  • Apache Arrow Landing page
    Landing page //
    2021-10-03
  • Amazon AWS Landing page
    Landing page //
    2022-01-29

Apache Arrow features and specs

  • In-Memory Columnar Format
    Apache Arrow stores data in a columnar format in memory which allows for efficient data processing and analytics by enabling operations on entire columns at a time.
  • Language Agnostic
    Arrow provides libraries in multiple languages such as C++, Java, Python, R, and more, facilitating cross-language development and enabling data interchange between ecosystems.
  • Interoperability
    Arrow's ability to act as a data transfer protocol allows easy interoperability between different systems or applications without the need for serialization or deserialization.
  • Performance
    Designed for high performance, Arrow can handle large data volumes efficiently due to its zero-copy reads and SIMD (Single Instruction, Multiple Data) operations.
  • Ecosystem Integration
    Arrow integrates well with various data processing systems like Apache Spark, Pandas, and more, making it a versatile choice for data applications.

Possible disadvantages of Apache Arrow

  • Complexity
    The use of Apache Arrow can introduce additional complexity, especially for smaller projects or those which do not require high-performance data interchange.
  • Learning Curve
    Getting accustomed to Apache Arrow can take time due to its unique in-memory format and APIs, especially for developers who are new to columnar data processing.
  • Memory Usage
    While Arrow excels in speed and performance, the memory consumption can be higher compared to row-based storage formats, potentially becoming a bottleneck.
  • Maturity
    Although rapidly evolving, some Arrow components or language implementations may not be as mature or feature-complete, potentially leading to limitations in certain use cases.
  • Integration Challenges
    While Arrow aims for broad compatibility, integrating it into existing systems may require substantial effort, affecting development timelines.

Amazon AWS features and specs

  • Scalability
    AWS offers highly scalable services, allowing businesses to easily adjust resources based on demand without significant upfront investment.
  • Comprehensive Service Offering
    AWS provides a wide range of services, from compute and storage to machine learning and analytics, catering to diverse business needs.
  • Global Reach
    With data centers located worldwide, AWS enables low-latency access and redundancy, supporting global operations.
  • Strong Security
    AWS has robust security measures, including compliance certifications, encryption, and physical security, ensuring data and infrastructure protection.
  • Pay-as-You-Go Pricing
    AWS offers a flexible pricing model, where users only pay for what they use, helping manage costs effectively.
  • Extensive Integration Options
    AWS integrates with a wide variety of third-party services and APIs, providing seamless integration capabilities for various applications.
  • Innovation
    AWS frequently releases new services and features, staying at the forefront of technology and providing users with cutting-edge tools.

Possible disadvantages of Amazon AWS

  • Cost Management Complexity
    While the pay-as-you-go model offers flexibility, it can be challenging to track and predict costs, especially for large-scale operations.
  • Learning Curve
    AWS has a comprehensive set of services and features, which can be overwhelming for new users to learn and manage effectively.
  • Potential Vendor Lock-In
    Relying heavily on AWS services may result in vendor lock-in, making it difficult to switch providers or migrate workloads in the future.
  • Service Limitations
    Certain AWS services might have limitations or restrictions, which could hinder specific use cases or require workarounds.
  • Support Costs
    AWS offers different support tiers, and premium support options can be expensive for businesses needing immediate and advanced technical assistance.
  • Performance Variability
    Performance can vary based on server load and geographic location, which may affect the consistency and reliability of certain services.
  • Complex Pricing Structure
    AWS's pricing structure can be complicated, with various pricing models and options making it hard to determine the most cost-efficient choice.

Apache Arrow videos

Wes McKinney - Apache Arrow: Leveling Up the Data Science Stack

More videos:

  • Review - "Apache Arrow and the Future of Data Frames" with Wes McKinney
  • Review - Apache Arrow Flight: Accelerating Columnar Dataset Transport (Wes McKinney, Ursa Labs)

Amazon AWS videos

Announcing AWS DeepComposer with Dr. Matt Wood, feat. Jonathan Coulton

More videos:

  • Review - Amazon Web Services vs Google Cloud Platform - AWS vs GCP | Difference Between GCP and AWS
  • Demo - AWS DeepComposer Demo
  • Review - Are AWS Certifications worth it?
  • Review - AWS Certified Solutions Architect Associate Certification Will Get You Paid!
  • Review - MACHINE LEARNING GENERATED MUSIC - Introduction to AWS DeepComposer

Category Popularity

0-100% (relative to Apache Arrow and Amazon AWS)
Databases
100 100%
0% 0
Cloud Computing
0 0%
100% 100
Big Data
100 100%
0% 0
Cloud Infrastructure
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 Arrow and Amazon AWS

Apache Arrow Reviews

We have no reviews of Apache Arrow yet.
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Amazon AWS Reviews

  1. macloughlin
    ยท AV engineer ยท
    The best cloud platform out there

    You could say a lot of things about AWS, but among the cloud platforms (and I've used quite a few) AWS takes the cake. It is logically structured, you can get through its documentation relatively easily, you have a great variety of tools and services to choose from [from AWS itself and from third-party developers in their marketplace]. There is a learning curve, there is quite a lot of it, but it is still way easier than some other platforms. I've used and abused AWS and EC2 specifically and for me it is the best.

    ๐Ÿ‘ Pros:    Great documentation|Website structure visualization|You have control over everything|Flexibility
    ๐Ÿ‘Ž Cons:    Learning curve|A lot of dashboards for different things

Top 15 MuleSoft Competitors and Alternatives
API Gateway private endpoints allow AWS customers to use API endpoints inside their VPC. They can leverage Route 53 resolver endpoints and hybrid connectivity to access APIs and integrated backend services from on-premises clients.
Best Dedicated Server Providers in India: A Comparative Analysis
Dedicated hosts on Amazon EC2 are physical servers that are completely dedicated to meeting corporate compliance standards. With AWS, you can create EC2 instances on a dedicated server. The flexibility offered by Amazon EC2 is definitely one of its biggest advantages, along with high scalability. Apart from that, it isnโ€™t much better than dedicated servers.
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Best Dedicated Server Providers for E-commerce Businesses in India
The dedicated server options from Amazon Web Services (AWS), a well-known brand in the tech industry, are equally excellent. AWSโ€™s elastic infrastructure can smoothly adjust to your demands whether your e-commerce business encounters variable traffic or you expect quick development. AWS guarantees that the speed and performance of your website will always be unmatched thanks...
The Best Dedicated Server Operating System for UK-Based Business
Cloud computing behemoth AWS is renowned for its extensive infrastructure and scalability choices. You can make use of AWSโ€™s numerous data centers, which are positioned strategically to offer low-latency services all across the UK.
Source: featurestic.com
The Best Dedicated Servers for Enterprise Businesses in India: Scalable and Reliable
The extensive selection of cloud-based solutions offered by AWS is one of its main advantages. AWS provides a wide range of cloud services, including computing power, storage choices, databases, machine learning, analytics tools, and dedicated servers. This adaptability enables businesses to create scalable, flexible, and affordable solutions customized to their needs.
Source: india07.in

Social recommendations and mentions

Based on our record, Amazon AWS seems to be a lot more popular than Apache Arrow. While we know about 463 links to Amazon AWS, we've tracked only 40 mentions of Apache Arrow. 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 Arrow mentions (40)

  • Show HN: Typed-arrow โ€“ compileโ€‘time Arrow schemas for Rust
    I had no idea what Arrow is: https://arrow.apache.org or arrow-rs: https://github.com/apache/arrow-rs. - Source: Hacker News / about 2 months ago
  • Show HN: Pontoon, an open-source data export platform
    - Open source: Pontoon is free to use by anyone Under the hood, we use Apache Arrow (https://arrow.apache.org/) to move data between sources and destinations. Arrow is very performant - we wanted to use a library that could handle the scale of moving millions of records per minute. In the shorter-term, there are several improvements we want to make, like:. - Source: Hacker News / 2 months ago
  • Unlocking DuckDB from Anywhere - A Guide to Remote Access with Apache Arrow and Flight RPC (gRPC)
    Apache Arrow : It contains a set of technologies that enable big data systems to process and move data fast. - Source: dev.to / 10 months ago
  • Using Polars in Rust for high-performance data analysis
    One of the main selling points of Polars over similar solutions such as Pandas is performance. Polars is written in highly optimized Rust and uses the Apache Arrow container format. - Source: dev.to / 11 months ago
  • Kotlin DataFrame โค๏ธ Arrow
    Kotlin DataFrame v0.14 comes with improvements for reading Apache Arrow format, especially loading a DataFrame from any ArrowReader. This improvement can be used to easily load results from analytical databases (such as DuckDB, ClickHouse) directly into Kotlin DataFrame. - Source: dev.to / over 1 year ago
View more

Amazon AWS mentions (463)

  • Deployments in the Agenticย Era
    Today, we are entering the Agentic Era. Agentic apps promise to deliver an unprecedented productivity boost, but to do so, they need access to the most sensitive business data: conversations, documents, decisions. Customers do not want to transfer such data to an unknown and untrusted external provider's environment. Instead, they expect these products to run inside their cloud accounts (whether it be AWS, GCP, or... - Source: dev.to / 18 days ago
  • Guide to Testing SQS-Based Microservices with Signadot Sandboxes
    Create AWS account and activate account with card and mobile verification. - Source: dev.to / 25 days ago
  • What is the Most Effective AI Tool for App Development Today?
    Anthropic's Claude models, accessible via platforms like AWS Bedrock, complement these by handling long-context tasks effectively. Rajesh Pandey, Principal Engineer at Amazon Web Services, highlights the importance of such foundation models: "OpenAI (via API) and Anthropic Claude (via AWS Bedrock) offer strong general-purpose LLMs with reliable inference." These models are lightweight yet powerful, suitable for... - Source: dev.to / about 2 months ago
  • Your Server Just Caught Fire โ€“ But Your Appโ€™s Still Running: The EC2 Superpower
    Introduction Imagine this: You run a small e-commerce site. Itโ€™s Black Friday, traffic is flooding inโ€ฆ and your main server suddenly crashes. Normally, this means lost sales, angry customers, and a long night for your IT team. But with Amazon EC2 (Elastic Compute Cloud), your app keeps running because your servers arenโ€™t tied to a single machine โ€” they live in the AWS cloud, spread across multiple data... - Source: dev.to / about 2 months ago
  • AWS SES with a NestJS Backend to Send Email Verifications
    If you don't have one yet, sign up at AWS. - Source: dev.to / about 2 months ago
View more

What are some alternatives?

When comparing Apache Arrow and Amazon AWS, you can also consider the following products

Redis - Redis is an open source in-memory data structure project implementing a distributed, in-memory key-value database with optional durability.

DigitalOcean - Simplifying cloud hosting. Deploy an SSD cloud server in 55 seconds.

Apache Parquet - Apache Parquet is a columnar storage format available to any project in the Hadoop ecosystem.

Microsoft Azure - Windows Azure and SQL Azure enable you to build, host and scale applications in Microsoft datacenters.

DuckDB - DuckDB is an in-process SQL OLAP database management system

Linode - We make it simple to develop, deploy, and scale cloud infrastructure at the best price-to-performance ratio in the market.