Oracle Exadata to Snowflake Migration video

Oracle is among the leading database management systems for running online transaction processing and data warehousing systems. However, with increasing volume, velocity, and variety of data that is at our disposal for modern analytics, Oracle offers limited scalability to support increasing workloads.

Snowflake Cloud Data Platform on the other hand scales in a way that’s simply not possible to do with Oracle. By separating compute from storage, Snowflake automatically and instantly scales with its multi-cluster, shared architecture. It provides access to a virtually unlimited number of concurrent users and applications while ensuring that performance is not diminished. As compared to traditional solutions such as Oracle, Snowflake enables data to be stored in a common location at a fraction of the cost.

Despite the widespread use of Oracle and the availability of Oracle talent, many business applications are moving away from Oracle and onto Snowflake not only for the superior scalability but also for other benefits that distinguish Snowflake from traditional Oracle environments.

About In516ht: Your analytical partner and trusted advisor. Rich technical expertise and deep industry experience are allowing us to merge the best of both worlds into our best trait. A trait, that empowers us to help our customers win their digital battles.

We work across a full data stack and take our clients end-to-end, from the early business case definition to the working analytics solution that brings value.

[montyconstantine]

The comments in the description are plain false. Exadata can scale out as large as you need . Actually, it scales better than Snowflake, since it has more performance tuning options to squeeze every drop of performance from critical jobs. If you want another nudge of performance, you can also license the database in-memory option. It also supports a mixed workload, which most systesm are. I support a mixed DW OLTP workload with over 11k users and millions of queries every day, and tons of adhocs, and it performs just fine. It's got 25 years of data growth in it, with most fact tables in the billions. i've seen tables that are 140 billion rows.

[jelenadenic]

Hello! Could you put back the whole video on the channel, it was very useful?