Software Alternatives & Reviews

Aerospike VS Apache Storm

Compare Aerospike VS Apache Storm and see what are their differences

Aerospike logo Aerospike

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

Apache Storm logo Apache Storm

Apache Storm is a free and open source distributed realtime computation system.
  • Aerospike Landing page
    Landing page //
    2023-09-16
  • Apache Storm Landing page
    Landing page //
    2019-03-11

Aerospike videos

Aerospike Demo of Aggregation Querying

Apache Storm videos

Apache Storm Tutorial For Beginners | Apache Storm Training | Apache Storm Example | Edureka

More videos:

  • Review - Developing Java Streaming Applications with Apache Storm
  • Review - Atom Text Editor Option - Real-Time Analytics with Apache Storm

Category Popularity

0-100% (relative to Aerospike and Apache Storm)
Databases
72 72%
28% 28
Big Data
0 0%
100% 100
NoSQL Databases
100 100%
0% 0
Key-Value Database
100 100%
0% 0

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 Apache Storm

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...

Apache Storm Reviews

Top 15 Kafka Alternatives Popular In 2021
Apache Storm is a recognized, distributed, open-source real-time computational system. It is free, simple to use, and helps in easily and accurately processing multiple data streams in real-time. Because of its simplicity, it can be utilized with any programming language and that is one reason it is a developer’s preferred choice. It is fast, scalable, and integrates well...
5 Best-Performing Tools that Build Real-Time Data Pipeline
Apache Storm is an open-source distributed real-time computational system for processing data streams. Similar to what Hadoop does for batch processing, Apache Storm does for unbounded streams of data in a reliable manner. Built by Twitter, Apache Storm specifically aims at the transformation of data streams. Storm has many use cases like real-time analytics, online machine...

Social recommendations and mentions

Apache Storm might be a bit more popular than Aerospike. We know about 11 links to it since March 2021 and only 8 links to Aerospike. 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 1 year 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 1 year 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 1 year 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 1 year 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 / over 1 year ago
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Apache Storm mentions (11)

  • Data Engineering and DataOps: A Beginner's Guide to Building Data Solutions and Solving Real-World Challenges
    There are several frameworks available for batch processing, such as Hadoop, Apache Storm, and DataTorrent RTS. - Source: dev.to / over 1 year ago
  • Real Time Data Infra Stack
    Although this article lists a lot of targets for technical selection, there are definitely others that I haven't listed, which may be either outdated, less-used options such as Apache Storm or out of my radar from the beginning, like JAVA ecosystem. - Source: dev.to / over 1 year ago
  • In One Minute : Hadoop
    Storm, a system for real-time and stream processing. - Source: dev.to / over 1 year ago
  • Elon Musk reportedly wants to fire 75% of Twitter’s employees
    Google has scaled well and has helped others scale, Twitter has always been behind by years. I think the only thing they did well was Twitter Storm, now taken up by Apache Foundation. Source: over 1 year ago
  • Spark for beginners - and you
    Streaming: Sparks Streamings's latency is at least 500ms, since it operates on micro-batches of records, instead of processing one record at a time. Native streaming tools like Storm, Apex or Flink might be better for low-latency applications. - Source: dev.to / over 2 years ago
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What are some alternatives?

When comparing Aerospike and Apache Storm, 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.

Apache Spark - Apache Spark is an engine for big data processing, with built-in modules for streaming, SQL, machine learning and graph processing.

memcached - High-performance, distributed memory object caching system

Apache Flink - Flink is a streaming dataflow engine that provides data distribution, communication, and fault tolerance for distributed computations.

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

Qubole - Qubole delivers a self-service platform for big aata analytics built on Amazon, Microsoft and Google Clouds.