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Benthos

Benthos

#70in Background Jobs
Discussions0
Followers8
OverviewDiscussionsAdoptionAlternativesIntegrations
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What is Benthos?

It is a high performance and resilient stream processor, able to connect various sources and sinks in a range of brokering patterns and perform hydration, enrichments, transformations and filters on payloads.

Benthos is a tool in the Background Jobs category of a tech stack.

Key Features

Easy to useWell connectedCreate, edit and test configs visuallyReliable and operationally simple

Benthos Pros & Cons

Pros of Benthos

No pros listed yet.

Cons of Benthos

No cons listed yet.

Benthos Alternatives & Comparisons

What are some alternatives to Benthos?

Kafka Streams

Kafka Streams

It is a client library for building applications and microservices, where the input and output data are stored in Kafka clusters. It combines the simplicity of writing and deploying standard Java and Scala applications on the client side with the benefits of Kafka's server-side cluster technology.

Apache NiFi

Apache NiFi

An easy to use, powerful, and reliable system to process and distribute data. It supports powerful and scalable directed graphs of data routing, transformation, and system mediation logic.

Confluent

Confluent

It is a data streaming platform based on Apache Kafka: a full-scale streaming platform, capable of not only publish-and-subscribe, but also the storage and processing of data within the stream

Apache Storm

Apache Storm

Apache Storm is a free and open source distributed realtime computation system. Storm makes it easy to reliably process unbounded streams of data, doing for realtime processing what Hadoop did for batch processing. Storm has many use cases: realtime analytics, online machine learning, continuous computation, distributed RPC, ETL, and more. 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.

KSQL

KSQL

KSQL is an open source streaming SQL engine for Apache Kafka. It provides a simple and completely interactive SQL interface for stream processing on Kafka; no need to write code in a programming language such as Java or Python. KSQL is open-source (Apache 2.0 licensed), distributed, scalable, reliable, and real-time.

Kapacitor

Kapacitor

It is a native data processing engine for InfluxDB 1.x and is an integrated component in the InfluxDB 2.0 platform. It can process both stream and batch data from InfluxDB, acting on this data in real-time via its programming language TICKscript.

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Benthos Integrations

Elasticsearch, PostgreSQL, Redis, MySQL, Amazon S3 and 7 more are some of the popular tools that integrate with Benthos. Here's a list of all 12 tools that integrate with Benthos.

Elasticsearch
Elasticsearch
PostgreSQL
PostgreSQL
Redis
Redis
MySQL
MySQL
Amazon S3
Amazon S3
RabbitMQ
RabbitMQ
Azure Blob Storage
Azure Blob Storage
Amazon DynamoDB
Amazon DynamoDB
NSQ
NSQ
Google Cloud Pub/Sub
Google Cloud Pub/Sub
MQTT
MQTT
Google BigQuery
Google BigQuery
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