How does Snowflake ETL & Data Integration perform on different criteria?
In our survey, we also inspected the various tools of Snowflake software. More than 290 evaluation criteria were examined. The figure below gives good insight into the strengths and weaknesses of Snowflake Data Cloud, compared to other ETL & Data Integration tools. Please note that Passionned Group is 100% independent of the suppliers in our guide. We do not sell software licenses, we do not make deals or have any legal ties to the vendor. Among other things, we help and advise organizations in selecting the right ETL & Data Integration platform.
Figure 1: Strength-weakness analysis of the supplier Snowflake ETL & Data Integration. A top supplier can get a maximum of 100%. Reference: The ETL & Data Integration Guide 2024. Do you want to know more about our research? Check out our buyers guide for ETL & Data Integration.
The Snowflake analysis was conducted by collecting a lot of public big data and from there extensively analyzed to pick up every tiny detail. More than 499 documents have been reviewed from Snowflake in recent years. In this process, both AI models and the critical eye of a senior Data Integration expert played a distinguished role in validating the results.Snowflake in our ETL & Data Integration Guide 2024 In our 100% vendor-neutral ETL & Data Integration Guide we have researched all the ins and outs of Snowflake for you. You will get access to many (short) courses, tutorials, tech talks, lectures, demos, and always have the latest ETL & Data Integration news at your fingertips. In addition, this guide will help you strengthen your expertise in ETL & Data Integration.
Snowflake and their complete ETL & Data Integration product portfolio
Snowflake carries (a minimum of) 5 products in the field of ETL & Data Integration. Below, we list Snowflake’s products in order of relevance:
What is Snowflake Data Cloud?
Under this heading, we portray Snowflake Data Cloud, including some of its features and any related products. This product group consists of Snowflake Data Warehouse, Snowflake Marketplace, Snowflake Cloud Data Platform, and Snowflake Data Platform. Snowflake Data Cloud can be best characterized by the following properties:
- AWS
- big data
- cloud platforms
- data governance
- data lakes
- data management
- data warehouse
- ETL
- OLAP
- SQL
Are you curious about all characteristics (100+) of Snowflake Data Cloud? In that case, open the ETL & Data Integration Guide™ 2024 here.
Do you want to hire an experienced Snowflake Data Cloud specialist?
Do you want to hire an interim Snowflake Data Cloud consultant who can do a mountain of work for you, and can help you to implement a beautiful Snowflake Data Cloud application? Our interim specialists are happy to help. Indeed, hiring Snowflake Data Cloud developers is not always expedient. Drop a message here and we’ll get back to you quickly.
What is Snowflake Data Warehouse?
Under this heading, we provide a description of Snowflake Data Warehouse, including some of its features and any related products. This product/group of products can be defined by the following features:
- apache
- AWS
- data lakes
- data management
- data sources
- data warehouse
- ETL
- JSON
- location data
- SQL
Do you want to know the intricacies of all the functions (100+) of Snowflake Data Warehouse? Then download our ETL & Data Integration Guide™ 2024 here.
What is Snowflake Marketplace?
In this paragraph, we provide a description of Snowflake Marketplace, including some of its features and any related products. The product Snowflake Marketplace can be best characterized by the following features:
- data lakes
- metadata
- security
Do you want to know the intricacies of all elements (100+) of Snowflake Marketplace? Download directly our ETL & Data Integration Guide™ 2024 here.
What is Snowflake Cloud Data Platform?
In this paragraph, we portray Snowflake Cloud Data Platform, including some of its features and any related products. The product Snowflake Cloud Data Platform can be best defined by the following functionalities:
- authentication
- AWS
- cloud platforms
- data lakes
- data warehouse
- JSON
- real time
- security
- SQL
Are you curious about all the functionalities (100+) of Snowflake Cloud Data Platform? Download the ETL & Data Integration Guide™ 2024 here.
What is Snowflake Data Platform?
Under this heading, we provide a description of Snowflake Data Platform, including some of its features and any related products. This product can be defined by the following properties:
- authentication
- AWS
- big data
- cloud platforms
- data infrastructure
- data ingestion
- data lakes
- data management
- data warehouse
- SQL
Are you curious about all characteristics (100+) of Snowflake Data Platform? Download the ETL & Data Integration Guide™ 2024 here.
The latest innovations of Snowflake Data Cloud tools and the version history
Recently, we see a stable development in terms of ETL & Data Integration functionality and support for operating systems and connectivity. The latest innovations are in the areas of data infrastructure > operating system > red hat, data infrastructure > operating system, and data management > data extraction.
We investigated Snowflake’s most recent releases of its complete ETL & Data Integration proposition. Below you can see the progression of the versions of all the known versions of the ETL & Data Integration products of Snowflake:
- Snowflake Data Warehouse: 101
Behind each product are the version numbers, the most recent versions are mentioned first.
Can you easily determine the licensing costs of Snowflake Data Warehouse, Snowflake Marketplace, and Snowflake Cloud Data Platform?
It is difficult to determine exactly how much a license of Snowflake Data Warehouse, Snowflake Marketplace, and Snowflake Cloud Data Platform costs because it depends on the country, the number of users (or the number of CPUs in the case of server software), the connectors to data sources, and at what point in the year you request a quote. And before the end of a fiscal quarter of Snowflake, you may be able to look forward to a decent discount. As part of a cloud-first strategy, it makes sense to run the software in the cloud. Often you only pay for what you consume in resources. The purchase cost of Snowflake Data Warehouse, Snowflake Marketplace, and Snowflake Cloud Data Platform may not be the largest cost item, but maintenance and support do show up in your budget every year.
What makes Snowflake ETL & Data Integration unique?
In our study, we see that Snowflake in the field of ETL & Data Integration software has a number of specific features which may be the deciding factor in purchasing. This makes Snowflake Data Cloud more or less unique: data type mappings, self-service data warehouse, security, interoperability, and real-time data ingestion.
The advantages and disadvantages of Snowflake Data Cloud
Figure 17: Tag cloud with the strength-weakness analysis of Snowflake ETL & Data Integration
Below we listed all the pros and cons of Snowflake ETL & Data Integration, Snowflake Data Warehouse, Snowflake Marketplace, and Snowflake Cloud Data Platform, et cetera. These are not necessarily definitive because: Snowflake can currently work on creating new capabilities (such as support for SOAP, WSDL, solaris, amazon redshift, star schema, GIT, impact analysis, SOA, google bigquery, and microservice).
Share your opinion about Snowflake here
Leave a review about Snowflake ETL & Data Integration here. Your observations may then possibly be taken into consideration in an even more objective assessment of the scores of Snowflake Data Cloud.
1. Snowflake Data Governance
The vendor Snowflake has a good score in our objective ETL & Data Integration survey on the subject ‘Data Governance’ with a score of 64%, compared to other vendors. The following criteria were used: data protection and data privacy. In total, we examined 15 aspects in this category. Would you like to go into more depth with the subject ‘Data Governance’? Then download here our ETL & Data Integration Study.
2. Snowflake Data Integration
The company has a good score in our study on the subject ‘Data Integration’. The score amounts to 60%, relative to other vendors. The following criteria were used: cloud data integration, data integration projects, and customer data integration. In total, we examined 167 features within this discipline. Are you planning to specialize further in the subject ‘Data Integration’? Then download here our ETL & Data Integration Guide. Or learn more about the following topics:
3. Snowflake Data Management
The company has a good score in our 100% vendor-independent ETL & Data Integration survey on the section ‘Data Management’. The score amounts to 59%, compared to other vendors. The following criteria were used: data sources, scheduling, real time, and data pipelines. In total, we examined 71 aspects in this category. Are you excited about the subject ‘Data Management’? Then download here our ETL & Data Integration Guide.
4. Snowflake Data Infrastructure
Snowflake has a good rating in our current ETL & Data Integration survey on the subject ‘Data Infrastructure’. The score amounts to 55%, compared to other vendors. We considered the following factors: security, rest API, open source, operating system, interoperability, data transfer, and microservice. In total, we examined 87 criteria within this section. Are you excited about the subject ‘Data Infrastructure’? Then download here our ETL & Data Integration Guide. Or learn more about the following topics:
5. Snowflake Metadata Management
Snowflake has a good rating in our study on the subject ‘Metadata Management’, given that they score 53% on this, compared to other vendors. We used the following selection criteria: data catalog and enterprise data catalog. In total, we examined 7 criteria within this section. Are you planning to specialize further in the subject ‘Metadata Management’? Then download here our ETL & Data Integration Guide 2024.
6. Snowflake Data Connectivity
Snowflake has a moderate score in our 100% vendor-independent ETL & Data Integration survey on the subject ‘Data Connectivity’. The company scores 49% on this topic, relative to other vendors. We considered the following factors: sql server, salesforce, apache, microsoft sql server, teradata, and amazon redshift. In total, we examined 50 aspects in this category. Would you like to learn more about the subject ‘Data Connectivity’? Then download here our ETL & Data Integration Study 2024.
7. Snowflake Data Quality Management
Snowflake has a moderate rating in our study on the subject ‘Data Quality Management’, given that they score 37% on this, relative to other vendors. We considered the following factors: business rules, data cleansing, data quality rules, address verification, and data quality issues. In total, we examined 28 criteria in this category. Would you like to go into more depth with the subject ‘Data Quality Management’? Then download here our ETL & Data Integration Study 2024.
8. Snowflake Self-service Integration
The company has a moderate rating in our 100% vendor-independent ETL & Data Integration survey on the subject ‘Self-service Integration’, given that they score 35% on this, relative to other vendors. We used the following selection criteria: self-service data preparation, self-service data integration, self-service data warehouse, self-service data management, and self-service data quality. In total, we examined 8 features within this discipline. Would you like to go into more depth with the subject ‘Self-service Integration’? Then download here our ETL & Data Integration Guide.
9. Snowflake Data Replication
The company has a poor rating in our study on the section ‘Data Replication’. The company scores 28% on this topic, relative to other vendors. We looked at the following criteria, among others: database replication, sql replication, transactional replication, data replication framework, replication model, file replication, and salesforce data replication. In total, we examined 32 features within this discipline. Are you planning to specialize further in the subject ‘Data Replication’? Then download here our ETL & Data Integration Study 2024.
10. Snowflake Master Data Management
Snowflake has a poor score in our current ETL & Data Integration survey on the section ‘Master Data Management’ with a score of 25%, relative to other vendors. We considered the following factors: location data, master data replication, and customer master data. In total, we examined 16 criteria within this section. Would you like to go into more depth with the subject ‘Master Data Management’? Then download here our ETL & Data Integration Study 2024. Or learn more about the following topics:
Want to know more? Then take a look at our ETL & Data Integration Guide™ 2024 here
The footprint of Snowflake ETL & Data Integration in different sectors
In our vendor-neutral ETL study, we also found out which industries a supplier is doing business in. These are the industries where Snowflake is frequently used: agriculture, banking, energy, financial services, governments, health care, insurance, logistics, public sector, real estate, retail, and telecom.
Snowflake software is most used by…
The ETL & Data Integration software from Snowflake is most often mentioned in combination with the following function: data engineers.
Hire a qualified Snowflake developer
Training and courses Snowflake ETL & Data Integration
We facilitate various training courses in the area of ETL & Data Integration but can also provide specific Snowflake training, for instance as in-company. For example, you can think about the following software: Snowflake Data Warehouse, Snowflake Marketplace, and Snowflake Cloud Data Platform. Of course, we frame the training with the ideas of the intelligent, data-driven organization.
In conclusion: Snowflake Data Cloud scores reasonably well
Snowflake has a minimal product portfolio with which it scores reasonably well in our ETL & Data Integration survey. Snowflake ETL & Data Integration innovates (approximately) at an average rate of more than 15 features per year, is active (for now) in lots of different sectors, and growing high in the field of data governance.