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Apache Spark VS Wazuh

Compare Apache Spark VS Wazuh 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.

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 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.

Wazuh features and specs

  • Open Source
    Wazuh is an open-source security monitoring platform, which means there are no licensing fees and continuous community support.
  • Comprehensive Security
    It offers a wide range of security functionalities including intrusion detection, log data analysis, and vulnerability detection.
  • Scalability
    Wazuh is built to scale, allowing it to handle extensive data from multiple sources across various environments.
  • Integrated Solution
    Wazuh provides an integrated approach to security, combining SIEM and HIDS capabilities in one platform.
  • Active Community Support
    It has an active community and a wealth of online resources, making troubleshooting and implementation easier.
  • Customizability
    Being open-source, Wazuh can be highly customized to meet the specific needs of different organizations or use cases.
  • Compliance Reporting
    The platform includes preconfigured templates for compliance reporting, aiding in regulatory compliance efforts.
  • Cloud and On-Premises
    Wazuh supports deployment both on-premises and in cloud environments, offering flexibility in how it's implemented.

Possible disadvantages of Wazuh

  • Complexity
    The platform can be complex to set up and configure, requiring a certain level of expertise in cybersecurity.
  • Resource Intensive
    Wazuh can be resource-intensive, requiring significant computational power and memory, especially when handling large volumes of data.
  • Learning Curve
    There can be a steep learning curve for new users, particularly those who are not already familiar with SIEM tools and practices.
  • Documentation
    While extensive, the documentation can sometimes be inconsistent or hard to follow, which may complicate the deployment process.
  • Alert Noise
    The system can generate a large number of alerts, some of which may be false positives, requiring additional effort for tuning and management.
  • Integration
    While Wazuh offers various integrations, getting it to work seamlessly with all third-party tools may require considerable effort.
  • Maintenance
    Running Wazuh requires ongoing maintenance and updates to ensure it remains effective against new threats.

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

Wazuh videos

+ Add

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)

Apache Spark

Wazuh

Databases
100 100%
Databases
0% 0
Monitoring Tools
0 0%
Monitoring Tools
100% 100
Big Data
100 100%
Big Data
0% 0
Security & Privacy
0 0%
Security & Privacy
100% 100

User comments

Share your experience with using Apache Spark and Wazuh. 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 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...
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

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.
Source: www.comparitech.com
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 70 links to it since March 2021 and only 51 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 (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 / 2 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

Wazuh mentions (51)

  • Google to Buy Wiz for $32B
    There's Wazuh[0][1], but it's more of an XDR (i.e. anti-virus) and SIEM solution than what Wiz is offering. [0] https://wazuh.com/ [1] https://github.com/wazuh/wazuh. - Source: Hacker News / 2 months ago
  • Secure and Resilient Design
    To manage these events, we need to have an appropriate system called SIEM (Security Information and Event Management). One of the best open-source solutions is Wazuh. - Source: dev.to / 10 months ago
  • 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: over 1 year 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: over 1 year 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 2 years 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

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.

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

rsyslog - Rsyslog is an enhanced syslogd supporting, among others, MySQL, PostgreSQL, failover log...

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