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Open-source ESB, SOA, REST and Cloud Integrations in Python
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What is Zato?

Build and orchestrate integration services, expose new or existing APIs, either cloud or on-premise, and use a wide range of connectors, data formats and protocols.
Zato is a tool in the Big Data Tools category of a tech stack.
Zato is an open source tool with 819 GitHub stars and 191 GitHub forks. Here’s a link to Zato's open source repository on GitHub

Who uses Zato?

4 companies reportedly use Zato in their tech stacks, including Business Infrastructure Systems, SaaS Platform, and SATO Vicinity.


Zato Integrations

Why developers like Zato?

Here’s a list of reasons why companies and developers use Zato
Top Reasons
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Zato's Features

  • Highly scalable enterprise integration platform and backend application server in Python
  • Browser-based GUI, CLI and API - designed by pragmatists for pragmatists
  • Protocols, industry standards and data formats - Odoo, SAP, IBM MQ, REST, Publish/Subscribe Queues, Single Sign-On, AMQP, SOAP, SQL, NoSQL, Caching, Kafka, WebSockets, LDAP, ElasticSearch, SMS, ZeroMQ, RBAC, Cassandra, S3, JMS and more
  • Commercial support available. Growing community around the project.

Zato Alternatives & Comparisons

What are some alternatives to Zato?
Django is a high-level Python Web framework that encourages rapid development and clean, pragmatic design.
Apache Spark
Spark is a fast and general processing engine compatible with Hadoop data. It can run in Hadoop clusters through YARN or Spark's standalone mode, and it can process data in HDFS, HBase, Cassandra, Hive, and any Hadoop InputFormat. It is designed to perform both batch processing (similar to MapReduce) and new workloads like streaming, interactive queries, and machine learning.
Amazon Athena
Amazon Athena is an interactive query service that makes it easy to analyze data in Amazon S3 using standard SQL. Athena is serverless, so there is no infrastructure to manage, and you pay only for the queries that you run.
Apache Flink
Apache Flink is an open source system for fast and versatile data analytics in clusters. Flink supports batch and streaming analytics, in one system. Analytical programs can be written in concise and elegant APIs in Java and Scala.
Apache Hive
Hive facilitates reading, writing, and managing large datasets residing in distributed storage using SQL. Structure can be projected onto data already in storage.
See all alternatives

Zato's Followers
5 developers follow Zato to keep up with related blogs and decisions.
Anil Kumar
hanif40x .
Raghavendar T S
Sajjad vafaie