Modern businesses are leveraging cloud and AI to draw deeper insights out of a wide range of data types – both structured and unstructured, real-time and historical. With this, choosing the right data warehouse appliance is crucial to an organization’s success.
When comparing the IBM Integrated Analytics System (IAS) and Teradata IntelliFlex, research firm Quark + Lepton found that:
- The five-year TCO for IAS is 45% less than Teradata IntelliFlex.
- IAS has Massively Parallel Processing, built-in ML and data science capabilities, and Spark integration. Teradata has limited interoperability with data science and big data platforms.
- IAS’s common SQL engine (CSE) provides workload portability across multiple IBM and non-IBM data sources. Teradata encourages migrating large amounts of data, adding latency and cost.
- IAS uses in memory columnar processing, data skipping, SIMD processing, and actionable compression to reduce storage needs and costs with a smaller data center footprint.
For in-depth details on all of these findings, read the full TCO report today.