Software Alternatives, Accelerators & Startups

Aerospike VS AWS IoT Analytics

Compare Aerospike VS AWS IoT Analytics 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.

Aerospike logo Aerospike

Aerospike is a high-performing NoSQL database supporting high transaction volumes with low latency.

AWS IoT Analytics logo AWS IoT Analytics

IoT Management
  • Aerospike Landing page
    Landing page //
    2023-09-16
  • AWS IoT Analytics Landing page
    Landing page //
    2022-02-05

Aerospike features and specs

  • High Performance
    Aerospike is designed to provide low-latency data access even at high throughput levels, making it suitable for real-time applications.
  • Scalability
    The database scales efficiently across multiple nodes, allowing it to handle large data volumes while maintaining performance.
  • ACID Compliance
    Aerospike provides ACID properties at the record level, ensuring data consistency and reliability in transactions.
  • Hybrid Storage
    Supports both in-memory and persistent storage, enabling efficient use of resources based on application needs.
  • Strong Consistency
    Offers strong consistency models that ensure operations are viewed consistently, which is critical for certain applications.

Possible disadvantages of Aerospike

  • Complexity
    Setting up and configuring Aerospike can be complex, requiring specialized knowledge, especially for optimization.
  • Cost
    While Aerospike offers a community edition, the enterprise version can be costly, potentially impacting decisions for small organizations.
  • Limited Query Capabilities
    Compared to some NoSQL databases, Aerospike has more limited querying features, focusing on key-value and secondary index lookups.
  • Community Support
    Although the community around Aerospike is growing, it may not be as large or active as those of some other database systems.
  • Complex Data Modeling
    The key-value data model can require significant adaptation for complex data that might be more naturally represented in relational databases.

AWS IoT Analytics features and specs

  • Scalable
    AWS IoT Analytics automatically scales to support large volumes of IoT data, accommodating billions of messages from millions of devices without the need for extensive infrastructure management.
  • Integration
    Seamlessly integrates with other AWS services like AWS Lambda, Amazon S3, and Amazon QuickSight for extended functionality and complete data processing and visualization workflows.
  • Time-series analysis
    Designed specifically to handle time-series data, providing tools and pre-built functions to analyze and visualize trends over time, which is crucial for monitoring IoT devices.
  • Data Enrichment
    Enables the enrichment of IoT data by integrating external data sources and using metadata, allowing for more contextual and meaningful data insights.
  • Machine Learning Support
    Supports integration with AWS's machine learning services, allowing users to build, train, and deploy models for predictive analysis directly on their IoT data.

Possible disadvantages of AWS IoT Analytics

  • Complexity
    The broad feature set and integration options can lead to a steep learning curve for users unfamiliar with AWS services and IoT analytics workflows.
  • Cost
    While offering extensive capabilities, the cost of using AWS IoT Analytics can become significant, especially as data volumes and processing needs increase.
  • Dependency on AWS Ecosystem
    Requires reliance on the AWS ecosystem, which can be a limitation for organizations using multi-cloud strategies or those wanting to maintain vendor neutrality.
  • Latency
    Although designed for handling IoT data, there can be latency issues in data processing and analysis, especially with high-frequency data ingestion.
  • Security Complexity
    Managing security and ensuring compliance can be complex due to the sensitive nature of IoT data and the need to configure various AWS security settings properly.

Aerospike videos

Aerospike Demo of Aggregation Querying

AWS IoT Analytics videos

AWS IoT Analytics - How It Works

More videos:

  • Review - Learn Step by Step How iDevices Uses AWS IoT Analytics - AWS Online Tech Talks

Category Popularity

0-100% (relative to Aerospike and AWS IoT Analytics)
Databases
100 100%
0% 0
Analytics
0 0%
100% 100
NoSQL Databases
100 100%
0% 0
Data Dashboard
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 Aerospike and AWS IoT Analytics

Aerospike Reviews

7 Best NoSQL APIs
The last piece of the puzzle when it comes to the attraction of Aerospike is its hybrid memory architecture. Aerospike takes an approach to storing data uniquely. It stores the index only in memory while the data persists in a solid state drive (SSD). While the magic in output lies deeper in the architecture, clients receive sub-millisecond latency read times at a throughput...
When to use Aerospike vs Redis | Aerospike
Need for strong data consistency If companies are building mission-critical applications where data consistency is a must, then Redis is not likely the right choice. Redis has not passed the Jepsen test for strong consistency (whereas Aerospike has). Redis supports eventual consistency, which can result in stale reads and even data loss under certain circumstances. Redis has...

AWS IoT Analytics Reviews

We have no reviews of AWS IoT Analytics yet.
Be the first one to post

Social recommendations and mentions

Based on our record, Aerospike seems to be more popular. It has been mentiond 8 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.

Aerospike mentions (8)

  • Aerospike Driver for LINQPad
    Aerospike for LINQPad 7 is a data context dynamic driver for interactively querying and updating an Aerospike database using “LINQPad”. The driver is free. For more information go to this blog post. You can directly download the driver from the LINQPad NuGet manager. Source: about 2 years ago
  • Using In-Memory Databases in Data Science
    Aerospike is a real-time cloud structured platform with good performance capabilities. This IMDB platform allows enterprises to perform their operations in real time through the hybrid memory and parallelism model. - Source: dev.to / over 2 years ago
  • Block and Filesystem side-by-side with K8s and Aerospike
    Block storage stores a sequence of bytes in a fixed size block (page) on a storage device. Each block has a unique hash that references the address location of the specified block. Unlike a filesystem, block storage doesn't have the associated metadata such as format-type, owner, date, etc. Also, block storage doesn’t use the conventional storage paths to access data like a filesystem file. This reduction in... - Source: dev.to / over 2 years ago
  • Aerospike & IoT using MQTT
    This example shows how the Aerospike database can be easily and scalably used to store industrial time series data made available by the MQTT ecosystem. Aerospike plus its Community Time Series Client streamlines the storage and retrieval of the data, supporting the ability to both write and read millions of data points per second if required. - Source: dev.to / over 2 years ago
  • Building Large-Scale Real-Time JSON Applications
    Real-time large-scale JSON applications need reliably fast access to data, high ingest rates, powerful queries, rich document functionality, scalability with no practical limit, always-on operation, and integration with streaming and analytical platforms. They need all this at low cost. The Aerospike Real-time Data Platform provides all this functionality, making it a good choice for building such applications.... - Source: dev.to / almost 3 years ago
View more

AWS IoT Analytics mentions (0)

We have not tracked any mentions of AWS IoT Analytics yet. Tracking of AWS IoT Analytics recommendations started around Mar 2021.

What are some alternatives?

When comparing Aerospike and AWS IoT Analytics, 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.

ThingSpeak - Open source data platform for the Internet of Things. ThingSpeak Features

memcached - High-performance, distributed memory object caching system

AWS IoT - Easily and securely connect devices to the cloud.

MongoDB - MongoDB (from "humongous") is a scalable, high-performance NoSQL database.

Countly - Product Analytics and Innovation. Build better customer journeys.