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  5. Matillion vs SnapLogic

Matillion vs SnapLogic

OverviewComparisonAlternatives

Overview

SnapLogic
SnapLogic
Stacks11
Followers18
Votes0
Matillion
Matillion
Stacks51
Followers71
Votes0
GitHub Stars0
Forks0

Matillion vs SnapLogic: What are the differences?

# Matillion vs SnapLogic

Matillion and SnapLogic are two popular cloud data integration platforms used by organizations to streamline their data workflows. Here are some key differences between the two:

1. **Architecture**: Matillion is an ETL (Extract, Transform, Load) tool designed specifically for cloud data warehouses like Amazon Redshift, Snowflake, and Google BigQuery. On the other hand, SnapLogic is an integration platform as a service (iPaaS) that offers a wide range of integration capabilities beyond just ETL, including application and API integrations.

2. **User Interface**: Matillion offers a user-friendly, drag-and-drop interface that is more intuitive for users with limited coding experience. SnapLogic, on the other hand, provides a visual interface with a larger variety of pre-built connectors for different systems, making it easier to integrate with various data sources and applications.

3. **Scalability**: Matillion is known for its scalability when it comes to processing large volumes of data in a cloud data warehouse environment. SnapLogic also offers scalability but may require additional configurations to handle complex data integration tasks efficiently.

4. **Cost**: Matillion's pricing is based on the number of users and data volumes, making it more cost-effective for smaller teams or organizations. SnapLogic's pricing model is based on the number of pipelines and connectors used, which can become costly for organizations with a large number of integrations.

5. **Deployment Options**: Matillion offers cloud-native deployments on AWS, Azure, and Google Cloud Platform, providing easy integration with these cloud services. SnapLogic supports both cloud and on-premises deployments, giving organizations more flexibility in choosing where to run their integration workflows.

6. **Community Support**: Matillion has a growing community of users and resources available online, including forums and documentation to help users troubleshoot issues and share best practices. SnapLogic also has a strong community but may rely more on professional support services for complex integration projects.

In Summary, Matillion is more focused on ETL processes in cloud data warehouse environments with a user-friendly interface, while SnapLogic offers a broader range of integration capabilities with a visual interface and more deployment options.

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Detailed Comparison

SnapLogic
SnapLogic
Matillion
Matillion

It provides data and application integration tools for connecting Cloud data sources, SaaS applications and on-premise business applications.

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.

Customer Experience/CRM; Cloud Data Warehousing; Finance & Accounting; Human Capital Management; Big 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.
Statistics
GitHub Stars
-
GitHub Stars
0
GitHub Forks
-
GitHub Forks
0
Stacks
11
Stacks
51
Followers
18
Followers
71
Votes
0
Votes
0
Integrations
Microsoft Dynamics 365
Microsoft Dynamics 365
Eloqua
Eloqua
Oracle
Oracle
Tableau
Tableau
Snowflake
Snowflake
Amazon Redshift
Amazon Redshift
Amazon S3
Amazon S3
Zendesk
Zendesk
MongoDB Stitch
MongoDB Stitch
Amazon Redshift
Amazon Redshift
Cassandra
Cassandra
Salesforce Sales Cloud
Salesforce Sales Cloud
Mixpanel
Mixpanel

What are some alternatives to SnapLogic, Matillion?

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.

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