StackShareStackShare
Follow on
StackShare

Discover and share technology stacks from companies around the world.

Follow on

© 2025 StackShare. All rights reserved.

Product

  • Stacks
  • Tools
  • Feed

Company

  • About
  • Contact

Legal

  • Privacy Policy
  • Terms of Service
  1. Stackups
  2. Application & Data
  3. Databases
  4. Big Data As A Service
  5. Matillion vs etleap

Matillion vs etleap

OverviewComparisonAlternatives

Overview

Matillion
Matillion
Stacks51
Followers71
Votes0
GitHub Stars0
Forks0
etleap
etleap
Stacks9
Followers12
Votes0

Matillion vs etleap: What are the differences?

Introduction

When comparing Matillion and etleap, it is essential to understand the key differences between these data integration tools. Both platforms offer various features for ETL (Extract, Transform, Load) processes, but there are distinct differences in their functionality and capabilities.

  1. User Interface: Matillion provides a user-friendly, drag-and-drop interface that makes it easy for users to create and manage ETL processes without writing code. In contrast, etleap offers a more code-focused approach, which may require users to have more technical knowledge to utilize the platform effectively.

  2. Integration Capabilities: Matillion excels in integrating with cloud-based data sources such as Amazon Redshift, Google BigQuery, and Snowflake. On the other hand, etleap focuses more on traditional databases like MySQL and PostgreSQL, which may limit its compatibility with certain modern data sources.

  3. Scalability: Matillion offers better scalability options, allowing users to seamlessly scale their ETL processes as their data needs grow. Meanwhile, etleap may have limitations in handling larger datasets or processing complex transformations efficiently.

  4. Workflow Automation: Matillion includes robust workflow automation features that enable users to schedule and monitor ETL jobs easily. In contrast, etleap may have more limited automation capabilities, which could impact the efficiency of managing complex data pipelines.

  5. Cost Structure: Matillion follows a subscription-based pricing model, which may be more suitable for organizations with predictable data integration needs. Etleap, on the other hand, may offer more flexible pricing options, catering to organizations with varying data requirements and budget constraints.

  6. Support and Training: Matillion provides comprehensive support resources and training materials, making it easier for users to onboard and troubleshoot any issues they encounter. Etleap may have less extensive support offerings, which could impact the overall user experience and adoption of the platform.

In Summary, Matillion and etleap differ in their user interface, integration capabilities, scalability, workflow automation, cost structure, and support and training options, making each platform more suitable for specific data integration needs and preferences.

Share your Stack

Help developers discover the tools you use. Get visibility for your team's tech choices and contribute to the community's knowledge.

View Docs
CLI (Node.js)
or
Manual

Detailed Comparison

Matillion
Matillion
etleap
etleap

It is a modern, browser-based UI, with powerful, push-down ETL/ELT functionality. With a fast setup, you are up and running in minutes.

Etleap simplifies and automates ETL on AWS. Etleap's data wrangler and modeling tools let users control how data is transformed for analysis, without writing any code, and monitors pipelines to ensure availability and completeness of data.

Edit, Transform and Load Data intuitively; Load Data from Dozens of Sources; 50% reduction in ETL development and maintenance effort ; Rich orchestration environment; Work as a team; Cheap; Billing via AWS.
ETL;modeling;SaaS;
Statistics
GitHub Stars
0
GitHub Stars
-
GitHub Forks
0
GitHub Forks
-
Stacks
51
Stacks
9
Followers
71
Followers
12
Votes
0
Votes
0
Integrations
Amazon S3
Amazon S3
Zendesk
Zendesk
MongoDB Stitch
MongoDB Stitch
Amazon Redshift
Amazon Redshift
Cassandra
Cassandra
Salesforce Sales Cloud
Salesforce Sales Cloud
Mixpanel
Mixpanel
MySQL
MySQL
Amazon Redshift
Amazon Redshift
PostgreSQL
PostgreSQL

What are some alternatives to Matillion, etleap?

Google BigQuery

Google BigQuery

Run super-fast, SQL-like queries against terabytes of data in seconds, using the processing power of Google's infrastructure. Load data with ease. Bulk load your data using Google Cloud Storage or stream it in. Easy access. Access BigQuery by using a browser tool, a command-line tool, or by making calls to the BigQuery REST API with client libraries such as Java, PHP or Python.

Amazon Redshift

Amazon Redshift

It is optimized for data sets ranging from a few hundred gigabytes to a petabyte or more and costs less than $1,000 per terabyte per year, a tenth the cost of most traditional data warehousing solutions.

Qubole

Qubole

Qubole is a cloud based service that makes big data easy for analysts and data engineers.

Amazon EMR

Amazon EMR

It is used in a variety of applications, including log analysis, data warehousing, machine learning, financial analysis, scientific simulation, and bioinformatics.

Altiscale

Altiscale

we run Apache Hadoop for you. We not only deploy Hadoop, we monitor, manage, fix, and update it for you. Then we take it a step further: We monitor your jobs, notify you when something’s wrong with them, and can help with tuning.

Snowflake

Snowflake

Snowflake eliminates the administration and management demands of traditional data warehouses and big data platforms. Snowflake is a true data warehouse as a service running on Amazon Web Services (AWS)—no infrastructure to manage and no knobs to turn.

Stitch

Stitch

Stitch is a simple, powerful ETL service built for software developers. Stitch evolved out of RJMetrics, a widely used business intelligence platform. When RJMetrics was acquired by Magento in 2016, Stitch was launched as its own company.

Azure Synapse

Azure Synapse

It is an analytics service that brings together enterprise data warehousing and Big Data analytics. It gives you the freedom to query data on your terms, using either serverless on-demand or provisioned resources—at scale. It brings these two worlds together with a unified experience to ingest, prepare, manage, and serve data for immediate BI and machine learning needs.

Dremio

Dremio

Dremio—the data lake engine, operationalizes your data lake storage and speeds your analytics processes with a high-performance and high-efficiency query engine while also democratizing data access for data scientists and analysts.

Cloudera Enterprise

Cloudera Enterprise

Cloudera Enterprise includes CDH, the world’s most popular open source Hadoop-based platform, as well as advanced system management and data management tools plus dedicated support and community advocacy from our world-class team of Hadoop developers and experts.

Related Comparisons

Bootstrap
Materialize

Bootstrap vs Materialize

Laravel
Django

Django vs Laravel vs Node.js

Bootstrap
Foundation

Bootstrap vs Foundation vs Material UI

Node.js
Spring Boot

Node.js vs Spring-Boot

Liquibase
Flyway

Flyway vs Liquibase