SnapLogic and Matillion Data Productivity Cloud compete in the data integration sector. SnapLogic seems to have an edge due to its flexibility and strong data integration capabilities, while Matillion offers a feature-rich platform ideal for cloud-centric environments.
Features: SnapLogic offers elastic integration, real-time data processing, and adaptability across diverse environments. Matillion shines with built-in data transformation tools, seamless cloud platform integration, and user-friendly simplicity for easy data workflow building.
Room for Improvement: SnapLogic could improve in user interface design, onboarding tutorials, and configuration complexity. Matillion might benefit from faster deployment times, a more diverse set of integrations, and enhanced data sampling features for real-time applications.
Ease of Deployment and Customer Service: SnapLogic provides scalable deployment with swift IT integration and responsive customer support. Matillion offers straightforward cloud platform deployment, though initial setup may require more time. Both receive positive feedback for customer service, with SnapLogic noted for rapid operationalization.
Pricing and ROI: SnapLogic may entail higher setup costs but offers rapid ROI, making its investment compelling. Matillion is cost-effective for small-to-medium enterprises, especially those prioritizing cloud integration, providing substantial ROI with its pricing structures. Budget constraints and goals can guide the choice between them.
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.
SnapLogic has helped automate manual data transfers significantly and improved our workflow efficiency, reducing integration development timelines considerably, which reflects a good ROI.
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.
Customer support scales well; as pipeline volume grows, we have been able to add more integrations and users without performance degradation.
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.
If the AI capabilities and integrations were more intuitive and easy to learn for new users, it would be greatly beneficial.
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.
Some advanced features lack detailed documentation, and debugging complex pipelines could be more intuitive.
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.
I would say the pricing is on the higher side, but it aligns with the capabilities offered for mid- to large integrations.
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.
The drag-and-drop builder and pre-built snaps have helped our team through a very low-code approach, making it easier for us to develop fast pipelines and be more agile compared to the heavier integration platforms we used before.
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.
| Product | Market Share (%) |
|---|---|
| Matillion Data Productivity Cloud | 4.9% |
| SnapLogic | 3.2% |
| Other | 91.9% |
| Company Size | Count |
|---|---|
| Small Business | 6 |
| Midsize Enterprise | 10 |
| Large Enterprise | 11 |
| Company Size | Count |
|---|---|
| Small Business | 11 |
| Midsize Enterprise | 5 |
| Large Enterprise | 11 |
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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