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 790 GitHub stars and 183 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 SATO Vicinity, SaaS Platform, and Business Infrastructure Systems.
Why developers like Zato?
Here’s a list of reasons why companies and developers use Zato
Be the first to leave a pro
- 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?
See all alternatives
Django is a high-level Python Web framework that encourages rapid development and clean, pragmatic design.
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 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 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.
Presto is an open source distributed SQL query engine for running interactive analytic queries against data sources of all sizes ranging from gigabytes to petabytes.