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Splunk VS Spark Streaming

Compare Splunk VS Spark Streaming and see what are their differences

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Contents:
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  2. » Videos
  3. » Reviews
  4. » Alternatives

Splunk logo Splunk

Splunk's operational intelligence platform helps unearth intelligent insights from machine data.

Spark Streaming logo Spark Streaming

Spark Streaming makes it easy to build scalable and fault-tolerant streaming applications.
  • Splunk Landing page
    Landing page //
    2023-10-20
  • Spark Streaming Landing page
    Landing page //
    2022-01-10

Splunk features and specs

  • Powerful Data Analysis
    Splunk provides robust data indexing and search capabilities, allowing users to analyze large volumes of log data with high flexibility and efficiency.
  • Real-Time Processing
    Splunk enables real-time monitoring and analysis of data, which helps in immediate detection of anomalies and operational issues.
  • Scalability
    Splunk can efficiently scale to handle large amounts of data from various sources, making it suitable for both small businesses and large enterprises.
  • Wide Range of Integrations
    Splunk offers extensive integration options with numerous third-party applications and services, enhancing its functionalities and utility.
  • User-Friendly Interface
    Splunk comes with a highly intuitive and user-friendly interface, which makes it easier for users to navigate and leverage its features without extensive training.
  • Advanced Security Features
    Splunk includes comprehensive security features such as access controls, data encryption, and auditing capabilities to ensure data protection and compliance.

Possible disadvantages of Splunk

  • High Cost
    Splunk is considered expensive compared to other data analytics tools, which can be a significant constraint for smaller organizations or those with limited budgets.
  • Complex Licensing
    The licensing model for Splunk can be complex and confusing, often leading to issues in predicting costs and understanding the full extent of required licensing.
  • Steep Learning Curve
    Despite its user-friendly interface, there is a steep learning curve associated with mastering Splunk’s advanced features and query language, which can be challenging for new users.
  • Resource Intensive
    Splunk can be resource-intensive, requiring substantial computational power and storage, which might necessitate additional hardware investments.
  • Custom App Development
    Building custom apps and dashboards in Splunk may require specialized knowledge of its proprietary language, which can limit customization for users without technical expertise.

Spark Streaming features and specs

  • Scalability
    Spark Streaming is highly scalable and can handle large volumes of data by distributing the workload across a cluster of machines. It leverages Apache Spark's capabilities to scale out easily and efficiently.
  • Integration
    It integrates seamlessly with other components of the Spark ecosystem, such as Spark SQL, MLlib, and GraphX, allowing for comprehensive data processing pipelines.
  • Fault Tolerance
    Spark Streaming provides fault tolerance by using Spark's micro-batching approach, which allows the system to recover data in case of a failure.
  • Ease of Use
    Spark Streaming provides high-level APIs in Java, Scala, and Python, making it relatively easy to develop and deploy streaming applications quickly.
  • Unified Platform
    It provides a unified platform for both batch and streaming data processing, allowing reuse of code and resources across different types of workloads.

Possible disadvantages of Spark Streaming

  • Latency
    Spark Streaming operates on a micro-batch processing model, which introduces latency compared to real-time processing. This may not be suitable for applications requiring immediate responses.
  • Complexity
    While it integrates well with other Spark components, building complex streaming applications can still be challenging and may require expertise in distributed systems and stream processing concepts.
  • Resource Management
    Efficiently managing cluster resources and tuning the system can be difficult, especially when dealing with variable workload and ensuring optimal performance.
  • Backpressure Handling
    Handling backpressure effectively can be a challenge in Spark Streaming, requiring careful management to prevent resource saturation or data loss.
  • Limited Windowing Support
    Compared to some stream processing frameworks, Spark Streaming has more limited options for complex windowing operations, which can restrict some advanced use cases.

Splunk videos

+ Add

"Splunk Product Overview"

More videos:

  • Tutorial - Splunk in 60 Minutes | Splunk Tutorial For Beginners | Splunk Training | Splunk Tutorial | Edureka
  • Demo - Splunk Incident Review Demo

Spark Streaming videos

+ Add

Spark Streaming Vs Kafka Streams || Which is The Best for Stream Processing?

More videos:

  • Tutorial - Spark Streaming Vs Structured Streaming Comparison | Big Data Hadoop Tutorial

Category Popularity

0-100% (relative to Splunk and Spark Streaming)

Splunk

Spark Streaming

Monitoring Tools
100 100%
Monitoring Tools
0% 0
Stream Processing
0 0%
Stream Processing
100% 100
Log Management
100 100%
Log Management
0% 0
Data Management
0 0%
Data Management
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 Splunk and Spark Streaming

Splunk Reviews

The 10 Best Nagios Alternatives in 2024 (Paid and Open-source)
What sets Splunk apart, likely contributing to its premium price, is its expansive network. With over 2,200 partners spanning various industries, Splunk ensures users can fully leverage the platform. Additionally, boasting a community of over 18,000 active members and 1,800 Splunk experts, users have access to support for problem-solving, architecture, deployment, and...
Source: betterstack.com
Top 10 Grafana Alternatives in 2024
Splunk’s security and data monitoring features make it a potent alternative to Grafana. The platform helps collect and store extensive data from multiple platforms like databases, messaging systems, and network devices.
Source: middleware.io
Top 11 Grafana Alternatives & Competitors [2024]
Splunk's strengths lie in its adeptness at handling large-scale data ingestion and robust analytics capabilities. This makes it invaluable for organizations with complex data monitoring needs, particularly in enterprise security and observability.
Source: signoz.io
10 Best Grafana Alternatives [2023 Comparison]
Splunk is a well-known log management solution that’s been around forever. It offers a variety of observability solutions, making it an ideal Grafana alternative in terms of functionality. Splunk offers users Log Management, Synthetic monitoring, Infrastructure Monitoring, APM, Security Monitoring, and more.
Source: sematext.com
Top 11 Best SIEM Tools in 2022 For Real-Time Incident Response and Security
Splunk provides improved security operations like customizable dashboards, asset investigator, statistical analysis, and incident review, classification, and investigation. It has features of alerts management, risk scores, etc. It provides security services to the public sectors, financial services, and healthcare.
Source: www.softwaretestinghelp.com

Spark Streaming Reviews

We have no reviews of Spark Streaming yet.
Be the first one to post

Social recommendations and mentions

Based on our record, Splunk should be more popular than Spark Streaming. It has been mentiond 19 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.

Splunk mentions (19)

  • Ask HN: Who is hiring? (April 2025)
    Splunk (A Cisco Company) [https://splunk.com] | Principal Software Engineer, Backend | Remote (Vancouver / Toronto, Canada) Splunk is here to build a safer and more resilient digital world. The world's leading enterprises use our unified security and observability platform to keep their digital systems secure and reliable. The role I'm hiring for is to lead the effort for a new API that will power Splunk's new... - Source: Hacker News / about 1 month ago
  • Can I install apps on Free 60 day Enterprise?
    I'm using the free 60day Enterprise license and tried to install different apps from the "Browse more apps" menu in Splunk Enterprise, but it doesn't accept my credentials when I try to log in. I tried my username and password from splunk.com(which I'm sure it works, because I tried it straight away on the official website). Also I tried using my username and password with which I'm accessing Splunk Enterprise,... Source: over 1 year ago
  • Can someone explain this before I go a little crazy? xD
    I'm noticing a questionable trend in Splunk question/answer structure for these free courses on splunk.com So I go to an exam dump to try and compare to something I have studied thus far. (Prepping for entry level 1002). Source: over 1 year ago
  • Where exactly can I start to learn?
    With your splunk.com username, you can login to Splunk trainings portals as well https://www.splunk.com/en_us/training.html .. There are lots of free trainings available. Enroll yourself, complete them, you will gain more confidence. Source: almost 2 years ago
  • VAST 3.0 released. Open-Source Security Data Pipelines with Kusto-like syntax
    VAST is an open-source SecDataOps project for working with data from open-source security tools. Version 3.0 adds a pipeline syntax similar to splunk, Kusto, PRQL, and Zed. Source: about 2 years ago
View more

Spark Streaming mentions (5)

  • RisingWave Turns Four: Our Journey Beyond Democratizing Stream Processing
    The last decade saw the rise of open-source frameworks like Apache Flink, Spark Streaming, and Apache Samza. These offered more flexibility but still demanded significant engineering muscle to run effectively at scale. Companies using them often needed specialized stream processing engineers just to manage internal state, tune performance, and handle the day-to-day operational challenges. The barrier to entry... - Source: dev.to / 19 days ago
  • Streaming Data Alchemy: Apache Kafka Streams Meet Spring Boot
    Apache Spark Streaming: Offers micro-batch processing, suitable for high-throughput scenarios that can tolerate slightly higher latency. https://spark.apache.org/streaming/. - Source: dev.to / 9 months ago
  • Choosing Between a Streaming Database and a Stream Processing Framework in Python
    Other stream processing engines (such as Flink and Spark Streaming) provide SQL interfaces too, but the key difference is a streaming database has its storage. Stream processing engines require a dedicated database to store input and output data. On the other hand, streaming databases utilize cloud-native storage to maintain materialized views and states, allowing data replication and independent storage scaling. - Source: dev.to / about 1 year ago
  • Machine Learning Pipelines with Spark: Introductory Guide (Part 1)
    Spark Streaming: The component for real-time data processing and analytics. - Source: dev.to / over 2 years ago
  • Spark for beginners - and you
    Is a big data framework and currently one of the most popular tools for big data analytics. It contains libraries for data analysis, machine learning, graph analysis and streaming live data. In general Spark is faster than Hadoop, as it does not write intermediate results to disk. It is not a data storage system. We can use Spark on top of HDFS or read data from other sources like Amazon S3. It is the designed... - Source: dev.to / over 3 years ago

What are some alternatives?

When comparing Splunk and Spark Streaming, you can also consider the following products

Datadog - See metrics from all of your apps, tools & services in one place with Datadog's cloud monitoring as a service solution. Try it for free.

Amazon Kinesis - Amazon Kinesis services make it easy to work with real-time streaming data in the AWS cloud.

NewRelic - New Relic is a Software Analytics company that makes sense of billions of metrics across millions of apps. We help the people who build modern software understand the stories their data is trying to tell them.

Confluent - Confluent offers a real-time data platform built around Apache Kafka.

Grafana - Data visualization & Monitoring with support for Graphite, InfluxDB, Prometheus, Elasticsearch and many more databases

Google Cloud Dataflow - Google Cloud Dataflow is a fully-managed cloud service and programming model for batch and streaming big data processing.

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