Software Alternatives, Accelerators & Startups

Apache Spark VS Wazuh

Compare Apache Spark VS Wazuh and see what are their differences

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.

Wazuh logo Wazuh

Open Source Host and Endpoint Security
  • Apache Spark Landing page
    Landing page //
    2021-12-31
  • Wazuh Landing page
    Landing page //
    2023-09-18

Apache Spark videos

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

Wazuh videos

Wazuh Open Source SIEM Overview

More videos:

  • Review - Wazuh - Automatic log data analysis for intrusion detection
  • Review - Tutorial: Wazuh SIEM - Installation and Configuration (Complete Steps)

Category Popularity

0-100% (relative to Apache Spark and Wazuh)
Databases
100 100%
0% 0
Monitoring Tools
0 0%
100% 100
Big Data
100 100%
0% 0
Security & Privacy
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 Spark and Wazuh

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...
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...
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...

Wazuh Reviews

7 Best Free Open Source SIEM Tools
A cloud-based premium version known as Wazuh Cloud is also available. Wazuh Cloud centralizes threat detection, incident response, and compliance management across your cloud and on-premises environments. Wazuh Cloud uses lightweight agents that run on monitored systems to collect and forward events to the Wazuh cloud infrastructure, where data is stored, indexed, and analyzed.
8 Best Open Source SIEM Tools
Wazuh is an open-source SIEM system born from the OSSEC project that you can use for threat detection, prevention, and response. You can also use Wazuh to comply with industry standards and regulations such as PCI DSS, GPG 13, and GDPR. Wazuh ships with an integration with Kibana that makes for an excellent UI for data visualization and analytics. It also ships with an agent...
Source: www.logiq.ai
The Top 14 Free and Open Source SIEM Tools For 2022
Wazuh is a common choice among enterprises because it is fully equipped with capabilities in threat detection, integrity monitoring, compliance and as an incident management tool. Wazuh collects, aggregates, indexes and analyzes security data making it possible for organizations to detect intrusions, identify threats and any behavioural anomalies that may arise. It boasts...
Source: logit.io

Social recommendations and mentions

Apache Spark might be a bit more popular than Wazuh. We know about 56 links to it since March 2021 and only 49 links to Wazuh. 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 (56)

  • Groovy 🎷 Cheat Sheet - 01 Say "Hello" from Groovy
    Recently I had to revisit the "JVM languages universe" again. Yes, language(s), plural! Java isn't the only language that uses the JVM. I previously used Scala, which is a JVM language, to use Apache Spark for Data Engineering workloads, but this is for another post 😉. - Source: dev.to / 3 months ago
  • 🦿🛴Smarcity garbage reporting automation w/ ollama
    Consume data into third party software (then let Open Search or Apache Spark or Apache Pinot) for analysis/datascience, GIS systems (so you can put reports on a map) or any ticket management system. - Source: dev.to / 4 months ago
  • Go concurrency simplified. Part 4: Post office as a data pipeline
    Also, this knowledge applies to learning more about data engineering, as this field of software engineering relies heavily on the event-driven approach via tools like Spark, Flink, Kafka, etc. - Source: dev.to / 5 months ago
  • Five Apache projects you probably didn't know about
    Apache SeaTunnel is a data integration platform that offers the three pillars of data pipelines: sources, transforms, and sinks. It offers an abstract API over three possible engines: the Zeta engine from SeaTunnel or a wrapper around Apache Spark or Apache Flink. Be careful, as each engine comes with its own set of features. - Source: dev.to / 6 months ago
  • Spark – A micro framework for creating web applications in Kotlin and Java
    A JVM based framework named "Spark", when https://spark.apache.org exists? - Source: Hacker News / 12 months ago
View more

Wazuh mentions (49)

  • Greenbone
    I use Wazuh instead. Greenbone CE is severely limited and requires payment for anything beyond the very basic. Super simple installation more features. Source: 6 months ago
  • Risks of hosting a website out of my house
    Monitoring & Active Measures - Exporting firewall events to an external time-series database like I describe above is good to see who is touching your firewall or accessing your web site. Using an Intrusion Detection System / Intrusion Prevention System (IDS/IPS) such as open-source Suricata, which is a free package on pfSense, and deploying file system integrity monitoring, such as the open-source Wazuh on the... Source: 7 months ago
  • DevOps and Security: DevSecOps
    Wazuh: An open source security monitoring platform that integrates with popular tools like Elasticsearch and Kibana to provide comprehensive security event analysis and response capabilities. - Source: dev.to / about 1 year ago
  • Vulnerability overview
    On another note, as mentioned in my response to the question of this post, we are working on a complete rework of the Vulnerability Detection engine. This rework will provide a sanitized CVEs feed from wazuh.com and a completely new scanner engine. It will also include a new UI for global queries. Source: about 1 year ago
  • Homelab security advice
    Nessus essentials (https://www.tenable.com/products/nessus/nessus-essentials) might do the trick. It can help to check what kind of services you are running are vulnerable to exploits. Also, the general recommendation here would be not to use default ports for all the services you are exposing. Also, you can check something like Wazuh - https://wazuh.com/. Source: about 1 year ago
View more

What are some alternatives?

When comparing Apache Spark and Wazuh, 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.

Zabbix - Track, record, alert and visualize performance and availability of IT resources

Apache Airflow - Airflow is a platform to programmaticaly author, schedule and monitor data pipelines.

Fortinet FortiAnalyzer - Fortinet FortiAnalyzer is a powerful product for Security Fabric Analytics and Automation.

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

Beats - Beats is the platform for single-purpose data shippers that is installed as lightweight agents and send data to machines to Logstash or Elasticsearch.