SnapLogic and Matillion Data Productivity Cloud compete in data integration and analytics. SnapLogic holds an edge in pricing and customer support, while Matillion’s feature set is robust.
Features: SnapLogic offers strong integration capabilities and flexibility across multiple data types. It provides easy-to-use low-code features with a user-friendly interface for quick pipeline development. SnapLogic also supports custom scripting in JavaScript or Python when needed. Matillion boasts efficient data transformations and integrates well with major cloud platforms, making it fast for cloud-based processing. It provides a detailed graphical user interface for ETL processes and excels in setup and data mapping with comprehensive cloud capabilities.
Room for Improvement: SnapLogic could enhance its real-time integrations and provide more robust error tracking tools. It might also benefit from expanding its documentation and training resources for faster onboarding. Matillion could improve its deployment speed on more complex transformations and reduce the learning curve for new users by offering more intuitive navigation. Additionally, extending its support for more diverse data sources would be advantageous.
Ease of Deployment and Customer Service: SnapLogic offers hybrid deployment supporting both cloud and on-premise, with responsive customer service that aids rapid problem resolution. In contrast, Matillion is cloud-native, providing streamlined deployment suited for cloud-focused organizations and attentive customer service. The deployment choice depends on the organization's infrastructure and support needs.
Pricing and ROI: SnapLogic features a competitive pricing model with lower setup costs, resulting in quicker ROI, which appeals to budget-conscious users. Matillion, due to its robust features, commands a higher cost but promises significant long-term value with comprehensive analytics capabilities. Organizations should balance the immediate cost savings of SnapLogic against the expansive functionality offered by Matillion.
Consequently, we adjusted our processes to use Matillion Data Productivity Cloud only for extraction and ingestion, while Snowflake handled all transformations and jobs.
SnapLogic is really helpful and processes in very little time, so it doesn't take much time compared to any legacy tool.
They communicate effectively and respond quickly to all inquiries.
Some SMEs are allotted for the organization, so in case of any issue, we have their email IDs to contact them for support, including SMEs and community.
The technical support from SnapLogic is excellent, and I would give it a complete ten.
Depending on the nature of data sets, volume, and mixture of different data, the scalability could be improved as manual code writing is still required.
The autoscale process works well, allowing the system to start another node automatically if the first machine reaches 80% capacity.
I rate the scalability of SnapLogic as eight out of ten.
But recently, in a year, I haven't found many performance issues in SnapLogic.
I would rate the stability of SnapLogic as nearly ten out of ten.
The main areas for improvement are AI features and scalability.
Connections to BigQuery for extracting information are complex.
They can improve more visuals, with graphical representations, such as how many things can be added, how many users can be added or dropped, and how the back-end nodes can be graphically shown in a better way.
If the AI capabilities and integrations were more intuitive and easy to learn for new users, it would be greatly beneficial.
I tend to frequently communicate with SnapLogic to ask for additional features, and they have been responsive.
Matillion Data Productivity Cloud offers discounts and special deals, especially when dealing with high-volume clients or fewer existing clients in specific regions, like Spain.
The pricing is moderate, neither expensive nor cheap.
There would be only one point of improvement if the price could be lower.
SnapLogic is positioned at around seven or eight out of ten in terms of pricing.
The predefined connectors eliminate the need to write code for connectivity.
Matillion Data Productivity Cloud is effective for ingest functions, particularly when moving information to Snowflake and performing many transformations.
I also like the whole child-parent pipeline feature; it allows me to break up a process into smaller pieces and then have one big pipeline that controls these smaller pipelines.
It's moving into AI, so we can create AI agents with LLM models. We can use most of the LLM such as Amazon Bedrock, OpenAI, Azure AI.
I find SnapLogic to be user-friendly, especially for beginners with limited experience in data engineering or ETL.
| Product | Market Share (%) |
|---|---|
| Matillion Data Productivity Cloud | 5.0% |
| SnapLogic | 3.8% |
| Other | 91.2% |
| Company Size | Count |
|---|---|
| Small Business | 6 |
| Midsize Enterprise | 10 |
| Large Enterprise | 11 |
| Company Size | Count |
|---|---|
| Small Business | 11 |
| Midsize Enterprise | 5 |
| Large Enterprise | 10 |
Matillion Data Productivity Cloud features an intuitive graphical interface, seamless AWS integration, and efficient data management. Its tools streamline complex tasks for SFDC, RDS, Marketo, Facebook, and Google AdWords.
Matillion Data Productivity Cloud provides fast transformations with built-in verification, easy scheduling, and sampling. With automatic scalability and diverse data source support, it simplifies complex data tasks. Users benefit from cloud data warehousing and integrating data into Snowflake while appreciating its ease of use by non-technical teams. Enhancements can focus on frequent API adjustments, improved documentation, faster performance with less latency, and better error handling.
What are the key features of Matillion Data Productivity Cloud?
What benefits and ROI should users seek in reviews?
In industries such as technology, finance, and healthcare, Matillion Data Productivity Cloud is implemented to streamline ETL processes, optimize data pipeline construction, and enhance data migration efforts. It supports efficient data loading and integration between cloud and on-premises databases, aiding industries in managing data-driven projects.
The SnapLogic Intelligent Integration Platform uses AI-powered workflows to automate all stages of IT integration projects – design, development, deployment, and maintenance – whether on-premises, in the cloud, or in hybrid environments. The platform’s easy-to-use, self-service interface enables both expert and citizen integrators to manage all application integration, data integration, API management, B2B integration, and data engineering projects on a single, scalable platform. With SnapLogic, organizations can connect all of their enterprise systems quickly and easily to automate business processes, accelerate analytics, and drive transformation.
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