Apache Spark is an engine for big data processing, with built-in modules for streaming, SQL, machine learning and graph processing.
There are no reported issues during the last 24h.
Use the 'Report an Issue' button to report any issues you may have with the service.
Check out our list of Apache Spark alternatives.
Community feedback on Apache Spark's status
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Apache Spark Alternatives
When Apache Spark is down, try these alternatives
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Try for free
A simple way to keep all your data under control. Build your own business applications in just 4 minutes.
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/apache-flink-alternatives
Flink is a streaming dataflow engine that provides data distribution, communication, and fault tolerance for distributed computations.
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/hadoop-alternatives
Open-source software for reliable, scalable, distributed computing.
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/apache-kafka-alternatives
Apache Kafka is an open-source message broker project developed by the Apache Software Foundation written in Scala.
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/apache-hive-alternatives
Apache Hive data warehouse software facilitates querying and managing large datasets residing in distributed storage.
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/apache-storm-alternatives
Apache Storm is a free and open source distributed realtime computation system.
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/splunk-alternatives
Splunk's operational intelligence platform helps unearth intelligent insights from machine data.
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/airflow-alternatives
Airflow is a platform to programmaticaly author, schedule and monitor data pipelines.
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Try for free
A simple way to keep all your data under control. Build your own business applications in just 4 minutes.
Related status pages
Tabidoo status · Apache Flink status · Hadoop status · Apache Kafka status · Apache Hive status · Apache Storm status · Splunk status · Apache Airflow status · Tabidoo status ·Status Check FAQ
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Why our public status pages are better than others?
We rely on the combination of both automated checks and user reported issues. Quite often, purely automated uptime monitoring cannot provide the full picture.
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How often do you check if a service is down?
If there are reported issues or interest in a specific service, we might check as frequently as every minute. However, we may check less frequently for services with less interest or fewer reported issues. For example, once every hour.
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What is the best way to report an issue?
The easiest way to report an issue is to use the single-click light-yellow buttons at the top of this page. They represent the most common issues and are the fastest way to report an issue. Nevertheless, you can also use the 'Report an Issue' button or link at the top to report any issue you may have with the service. Also, you are more than welcome to use the comments box and discuss any tips, solutions or resolutions with the community.
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What is "Uptime Monitoring" and do you track it?
Service Uptime Monitoring is a service that checks the availability of a website or service. It can be used to monitor the uptime and downtime of a website or service. Yes, we do track it, but we also rely on user reported issues to provide the most accurate status. Some of the benefits are: Early detection of service disruptions; Better communication with users; Increased reliability.
SaaSHub's Down Detector checks the status of services automatically and regularly. However, we cannot promise 100% accuracy. That is why we depend on user reported issues as well. The Apache Spark status here can help you determine if there is a global outage and Apache Spark is down for everyone or if it is just you who is experiencing problems. Please report any issues to help others know the current status.







