Zato vs s3-lambda | What are the differences? | StackShare

Zato vs s3-lambda

Overview

Zato

Stacks12

Followers24

Votes0

GitHub Stars988

Forks246

s3-lambda

Stacks4

Followers64

Votes0

GitHub Stars1.1K

Forks47

s3-lambda vs Zato: What are the differences?

What is s3-lambda? Lambda functions over S3 objects: each, map, reduce, filter. s3-lambda enables you to run lambda functions over a context of S3 objects. It has a stateless architecture with concurrency control, allowing you to process a large number of files very quickly. This is useful for quickly prototyping complex data jobs without an infrastructure like Hadoop or Spark.

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

s3-lambda and Zato can be categorized as "Big Data" tools.

s3-lambda and Zato are both open source tools. It seems that s3-lambda with 1.05K GitHub stars and 41 forks on GitHub has more adoption than Zato with 783 GitHub stars and 185 GitHub forks.

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Detailed Comparison

Zato	s3-lambda
Connect, integrate and automate all of your systems, APIs and apps, including cloud and legacy ones, using an open-source integration platform in Python. ESB, SOA, REST, API and Cloud Integrations in Python.	s3-lambda enables you to run lambda functions over a context of S3 objects. It has a stateless architecture with concurrency control, allowing you to process a large number of files very quickly. This is useful for quickly prototyping complex data jobs without an infrastructure like Hadoop or Spark.
Integrate everything. In Python.; Connect, integrate and automate all of your systems, APIs and apps, including cloud and legacy ones, using an open-source integration platform in Python.;Say goodbye to integration challenges and hello to peace of mind.	-
Statistics
GitHub Stars 988	GitHub Stars 1.1K
GitHub Forks 246	GitHub Forks 47
Stacks 12	Stacks 4
Followers 24	Followers 64
Votes 0	Votes 0
Integrations
Docker MySQL Linux MSSQL Microsoft Azure Amazon S3 PostgreSQL Odoo Ubuntu SQL	Amazon S3 AWS Lambda

What are some alternatives to Zato, s3-lambda?

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.

Presto

Distributed SQL Query Engine for Big Data

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.

lakeFS

It is an open-source data version control system for data lakes. It provides a “Git for data” platform enabling you to implement best practices from software engineering on your data lake, including branching and merging, CI/CD, and production-like dev/test environments.

Druid

Druid is a distributed, column-oriented, real-time analytics data store that is commonly used to power exploratory dashboards in multi-tenant environments. Druid excels as a data warehousing solution for fast aggregate queries on petabyte sized data sets. Druid supports a variety of flexible filters, exact calculations, approximate algorithms, and other useful calculations.

Apache Kylin

Apache Kylin™ is an open source Distributed Analytics Engine designed to provide SQL interface and multi-dimensional analysis (OLAP) on Hadoop/Spark supporting extremely large datasets, originally contributed from eBay Inc.

Splunk

It provides the leading platform for Operational Intelligence. Customers use it to search, monitor, analyze and visualize machine data.

Apache Impala

Impala is a modern, open source, MPP SQL query engine for Apache Hadoop. Impala is shipped by Cloudera, MapR, and Amazon. With Impala, you can query data, whether stored in HDFS or Apache HBase – including SELECT, JOIN, and aggregate functions – in real time.