Find out in this report how the two Cloud Data Warehouse solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI.
It's not structured support, which is why we don't use purely open-source projects without additional structured support.
Recently we had a two-day session where the Snowflake Analytics team provided a demo on Cortex AI and its features.
The Snowflake Analytics documentation is excellent.
The technical support for Snowflake Analytics is excellent based on what I have heard from others.
It is a distributed file system and scales reasonably well as long as it is given sufficient resources.
It supports both horizontal and vertical scaling effectively.
Storage is unlimited because they use S3 if it is AWS, so storage has no limit.
Maintaining security and data governance becomes easier with an entire data lake in place, and the scalability improves performance.
Continuous management in the way of upgrades and technical management is necessary to ensure that it remains effective.
Snowflake Analytics has been stable and reliable in my experience.
The Power BI team raised tickets for both Power BI and Snowflake Analytics, and their responses were very good.
Snowflake Analytics is stable, scoring around eight point five to nine out of ten.
The problem with Apache Hadoop arose when the guys that originally set it up left the firm, and the group that later owned it didn't have enough technical resources to properly maintain it.
Most companies are using these cloud technologies, so additional features and some transformation capabilities while exporting to different data buckets would be very helpful.
I would prefer Snowflake Analytics to improve their support response times, as sometimes the responses we receive are not very prompt and ticket assignments may not be timely.
If it offered flexibility similar to Oracle and supported more heterogeneous data sources and database connectivity, it would be even better.
Snowflake is better and cheaper than Redshift and other cloud warehousing systems.
Snowflake Analytics is quite economical.
Snowflake charges per query, which amounts to a very minor cost, such as $0.015 per query.
Hadoop is a distributed file system, and it scales reasonably well provided you give it sufficient resources.
I assess Apache Hadoop's fault tolerance during hardware failures positively since we have hardware failover, which works without problems.
Snowflake Analytics supports data security with a single sign-on feature and complies with framework regulations, which is highly beneficial.
Running a considerable query on Microsoft SQL Server may take up to thirty minutes or an hour, while Snowflake executes the same query in less than three minutes.
Snowflake Analytics offers multiple new connectors, allowing me to connect it with Kafka, and with Snowpark, I can work with any programming language such as Python, Java, or Scala for data processing and analysis.
| Company Size | Count |
|---|---|
| Small Business | 14 |
| Midsize Enterprise | 8 |
| Large Enterprise | 21 |
| Company Size | Count |
|---|---|
| Small Business | 11 |
| Midsize Enterprise | 12 |
| Large Enterprise | 21 |
Conventional data platforms and big data solutions struggle to deliver on their fundamental purpose: to enable any user to work with any data, without limits on scale, performance or flexibility. Whether you’re a data analyst, data scientist, data engineer, or any other business or technology professional, you’ll get more from your data with Snowflake.
To achieve this, we built a new data platform from the ground up for the cloud. It’s designed with a patented new architecture to be the centerpiece for data pipelines, data warehousing, data lakes, data application development, and for building data exchanges to easily and securely share governed data. The result, A platform delivered as a service that’s powerful but simple to use.
Snowflake’s cloud data platform supports a multi-cloud strategy, including a cross-cloud approach to mix and match clouds as you see fit. Snowflake delivers advantages such as global data replication, which means you can move your data to any cloud in any region, without having to re-code your applications or learn new skills.
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