SnapLogic and Matillion Data Productivity Cloud compete in the data integration tools category. SnapLogic has an advantage for its low-code development and variety of supported languages and connectors, making it versatile. However, for AWS users, Matillion's seamless integration with AWS services gives it an edge.
Features: SnapLogic offers a low-code environment with comprehensive Snaps, allowing for straightforward complex data workflows. It stands out with rapid deployment and flexible system connections, aiding easy automation and real-time data transfer. Matillion focuses on ETL capabilities, particularly its integration with AWS Redshift, and offers unique mid-pipeline sampling, beneficial for agile project management. Its scalable pricing model based on team size fits well for larger teams.
Room for Improvement: SnapLogic could add more pre-built integrations, enhance API monitoring, and improve data flow transparency. It needs to address latency issues and make cost-effective improvements. Matillion should increase real-time data handling capabilities, offer more frequent feature updates, and expand user-friendly documentation and database integrations.
Ease of Deployment and Customer Service: SnapLogic supports Hybrid Cloud, Public and Private Clouds, offering user flexibility. Their customer service feedback is mixed, with responsiveness praised but communication needing improvement. Matillion primarily connects with Public Cloud environments, especially AWS, and receives commendations for its customer support, particularly from customer success managers, enhancing deployment processes.
Pricing and ROI: SnapLogic's pricing is based on usage tiers, providing moderate costs for complex integrations without code, resulting in positive ROI through automation savings and reduced development time. Matillion's pricing via AWS Marketplace depends on team size and usage; though costs can be high, it offers competitive rates for large-scale operations, delivering good ROI even in high-volume scenarios.
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.
The reports and pipelines run, leading to cost savings that reduce manual effort and save 50,000 to 150,000 USD annually.
It is not that fewer employees were needed, but time was definitely saved, and our process was optimized with the help of SnapLogic.
They communicate effectively and respond quickly to all inquiries.
The responsiveness, technical expertise, knowledge base and documentation, support channels, and continuous improvement were impeccable.
The technical support from SnapLogic is excellent, and I would give it a complete ten.
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.
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.
After implementing SnapLogic, pipelines that processed one to two million records per week can now handle five to 10 million records without additional infrastructure.
SnapLogic is very scalable, and it can be adjusted based on our requirements, considering the organization type and the data it produces.
I rate the scalability of SnapLogic as eight out of ten.
I would rate the stability of SnapLogic as nearly ten out of ten.
But recently, in a year, I haven't found many performance issues in SnapLogic.
Connections to BigQuery for extracting information are complex.
The main areas for improvement are AI features and scalability.
We require a data pipeline that can be read without latency and without any delay.
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.
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.
SnapLogic provides inbuilt Snaplets, such as creating and closing an audit ID, removing duplicates, joining tables, writing to Oracle, files, XML, SF, SMTP connections, and more.
SnapLogic excels in data transformations, monitoring, and observability, providing scalability controls for the pipelines.
| Product | Mindshare (%) |
|---|---|
| Matillion Data Productivity Cloud | 5.7% |
| SnapLogic | 3.2% |
| Other | 91.1% |
| Company Size | Count |
|---|---|
| Small Business | 6 |
| Midsize Enterprise | 10 |
| Large Enterprise | 11 |
| Company Size | Count |
|---|---|
| Small Business | 11 |
| Midsize Enterprise | 7 |
| Large Enterprise | 13 |
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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