Search within Market Perspectives blog:
We are happy to share some insights about Teradata drawn from our latest Value Index research, which assesses how well vendors’ offerings meet buyers’ requirements.
Read MoreTopics: Cloud Computing, Data, Digital Technology, analytic data platforms, Operational Data Platforms, Analytics and Data
We are happy to share some insights about Microsoft drawn from our latest Value Index research, which assesses how well vendors’ offerings meet buyers’ requirements.
Read MoreTopics: Cloud Computing, Data, Digital Technology, analytic data platforms, Operational Data Platforms, Analytics and Data
We are happy to share some insights about InterSystems drawn from our latest Value Index research, which assesses how well vendors’ offerings meet buyers’ requirements.
Read MoreTopics: Cloud Computing, Data, Digital Technology, analytic data platforms, Operational Data Platforms, Analytics and Data
We are happy to share some insights about Oracle drawn from our latest Value Index research, which assesses how well vendors’ offerings meet buyers’ requirements.
Read MoreTopics: Cloud Computing, Data, Digital Technology, analytic data platforms, Operational Data Platforms, Analytics and Data
We are happy to share some insights about IBM drawn from our latest Value Index research, which assesses how well vendors’ offerings meet buyers’ requirements.
Read MoreTopics: Cloud Computing, Data, Digital Technology, analytic data platforms, Operational Data Platforms, Analytics and Data
Data lakes began to emerge 10 years ago in response to the desire for analytic data platforms that could economically store and process large volumes of raw data. These platforms access data from multiple operational applications in a variety of formats to be queried by multiple business departments for a variety of analytic workloads.
Read MoreTopics: business intelligence, Cloud Computing, Data Governance, Data Management, analytic data platforms, Analytics and Data, AI and Machine Learning
Organizations face a variety of data and analytics challenges resulting from growth and increased scale. Multiple tools and techniques are needed to derive value from various databases. But, adding more systems means adding more complexities, which can slow operations and add costs for maintaining additional systems. SQL databases have been very popular among organizations for storing and...
Read MoreTopics: business intelligence, Data Management, analytic data platforms, AI and Machine Learning
