Apache Storm

Apache Storm

Apache Software Foundation
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About

Apache Storm is a free and open source distributed realtime computation system. Apache Storm makes it easy to reliably process unbounded streams of data, doing for realtime processing what Hadoop did for batch processing. Apache Storm is simple, can be used with any programming language, and is a lot of fun to use! Apache Storm has many use cases: realtime analytics, online machine learning, continuous computation, distributed RPC, ETL, and more. Apache Storm is fast: a benchmark clocked it at over a million tuples processed per second per node. It is scalable, fault-tolerant, guarantees your data will be processed, and is easy to set up and operate. Apache Storm integrates with the queueing and database technologies you already use. An Apache Storm topology consumes streams of data and processes those streams in arbitrarily complex ways, repartitioning the streams between each stage of the computation however needed. Read more in the tutorial.

About

Unified stream and batch data processing that's serverless, fast, and cost-effective. Fully managed data processing service. Automated provisioning and management of processing resources. Horizontal autoscaling of worker resources to maximize resource utilization. OSS community-driven innovation with Apache Beam SDK. Reliable and consistent exactly-once processing. Streaming data analytics with speed. Dataflow enables fast, simplified streaming data pipeline development with lower data latency. Allow teams to focus on programming instead of managing server clusters as Dataflow’s serverless approach removes operational overhead from data engineering workloads. Allow teams to focus on programming instead of managing server clusters as Dataflow’s serverless approach removes operational overhead from data engineering workloads. Dataflow automates provisioning and management of processing resources to minimize latency and maximize utilization.

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Audience

Developers and companies in search of a big data software solution that integrates with any queueing system and any database system

Audience

Teams that want unified stream and batch data processing that's serverless, fast, and cost-effective

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

Pricing

No information available.
Free Version
Free Trial

Pricing

No information available.
Free Version
Free Trial

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

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Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

Apache Software Foundation
Founded: 1999
United States
storm.apache.org

Company Information

Google
Founded: 1998
United States
cloud.google.com/dataflow

Alternatives

Apache Gobblin

Apache Gobblin

Apache Software Foundation

Alternatives

Apache Beam

Apache Beam

Apache Software Foundation
Apache Heron

Apache Heron

Apache Software Foundation
Apache Spark

Apache Spark

Apache Software Foundation
E-MapReduce

E-MapReduce

Alibaba
Apache Flink

Apache Flink

Apache Software Foundation

Categories

Categories

Streaming Analytics Features

Data Enrichment
Data Wrangling / Data Prep
Multiple Data Source Support
Process Automation
Real-time Analysis / Reporting
Visualization Dashboards

Integrations

Akira AI
Amazon Kinesis
Apache Knox
Azure HDInsight
CData Connect
DataBuck
Google Cloud Bigtable
Google Cloud IoT Core
Google Cloud Knowledge Catalog
Google Cloud Managed Service for Apache Airflow
Google Cloud Platform
New Relic
Orchestra
Protegrity
RabbitMQ
Sedai
Sematext Cloud
Ternary

Integrations

Akira AI
Amazon Kinesis
Apache Knox
Azure HDInsight
CData Connect
DataBuck
Google Cloud Bigtable
Google Cloud IoT Core
Google Cloud Knowledge Catalog
Google Cloud Managed Service for Apache Airflow
Google Cloud Platform
New Relic
Orchestra
Protegrity
RabbitMQ
Sedai
Sematext Cloud
Ternary
Claim Apache Storm and update features and information
Claim Apache Storm and update features and information
Claim Google Cloud Dataflow and update features and information
Claim Google Cloud Dataflow and update features and information