Datalytyx Palladium vs. IBM Netezza Performance Server
Datalytyx Palladium vs. IBM Netezza Performance Server
| Product | Rating | Most Used By | Product Summary | Starting Price |
|---|---|---|---|---|
Palladium | N/A | Datalytyx headquartered in London offers Palladium, which they describe as a cloud native, pre-integrated, fully managed platform for data and AI that can store and analyse enormous volumes of IoT time-series data alongside traditional structured data. The vendor aims to reduce complexity, and “just switch it on” in less than one day. | N/A | |
![]() IBM Netezza Performance Server | N/A | Netezza Performance Server (NPS) is an add-on data warehouse solution available on Cloud Pak for Data System platform, built over open source and optimized for High Performance Analytics with built-in hardware acceleration. Netezza Performance Server was previously named IBM Performance Server for PostgreSQL (IPS). | N/A |
| Datalytyx Palladium | IBM Netezza Performance Server | |||||||||||||||
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| Editions & Modules | No answers on this topic | No answers on this topic | ||||||||||||||
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| Entry-level Setup Fee | No setup fee | No setup fee | ||||||||||||||
| Additional Details | — | — | ||||||||||||||
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| Datalytyx Palladium | IBM Netezza Performance Server |
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| Datalytyx Palladium | IBM Netezza Performance Server | |
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| Small Businesses | Google BigQuery Score 8.8 out of 10 | Google BigQuery Score 8.8 out of 10 |
| Medium-sized Companies | Cloudera Enterprise Data Hub Score 9.0 out of 10 | Cloudera Enterprise Data Hub Score 9.0 out of 10 |
| Enterprises | Oracle Exadata Score 9.8 out of 10 | Oracle Exadata Score 9.8 out of 10 |
| All Alternatives | View all alternatives | View all alternatives |
| Datalytyx Palladium | IBM Netezza Performance Server | |
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| Likelihood to Recommend | - (0 ratings) | 9.3 (6 ratings) |
| Datalytyx Palladium | IBM Netezza Performance Server | |
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| Likelihood to Recommend | ![]() Datalytyx No answers on this topic | ![]() IBM
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| Pros | ![]() Datalytyx No answers on this topic | ![]() IBM
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| Cons | ![]() Datalytyx No answers on this topic | ![]() IBM
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| Alternatives Considered | ![]() Datalytyx No answers on this topic | ![]() IBM
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| Return on Investment | ![]() Datalytyx No answers on this topic | ![]() IBM
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