Benchmarking Performance & Cost: GCP vs. AWS. vs. Azure
WEBFeb 12, 2021 · About the Report: The annual Cockroach Labs Cloud Report benchmarks AWS, Azure, and Google against each other, compiling results from over 1,000 microbenchmark tests. The big three are benchmarked on: CPU performance, network throughput and latency, storage read/write performance, and the TPC-C database benchmark. Download this whitepaper.
Domino Data Lab Named a Leader in 2 Independent AI-Focused
WEBSAN FRANCISCO, Oct. 5, 2023 — Domino Data Lab, provider of the leading Enterprise AI platform trusted by over 20% of the Fortune 100, has announced it has been recognized as a leader and top performer by Dresner Advisory Services in its 2023 Wisdom of Crowds market studies on both AI, Data Science and Machine Learning (AI/DS/ML) as well as ...
NeuroBlade Tackles Memory, Bandwidth Bottlenecks with XRAM
WEBOct 11, 2021 · Neuroblade tackles the I/O bottleneck by placing RISC processing power right on the DRAM. Companies that are frustrated by the performance of memory- or network-bound analytics workloads may be interested in learning about NeuroBlade, a hardware startup developing a new processing-in-memory (PIM) architecture called XRAM that features a RISC ...
Data Mesh Vs. Data Fabric: Understanding the Differences
WEBOct 25, 2021 · Data Mesh. While a data mesh aims to solve many of the same problems as a data fabric–namely, the difficulty of managing data in a heterogenous data environment–it tackles the problem in a fundamentally different manner. In short, while the data fabric seeks to build a single, virtual management layer atop distributed data, the data mesh ...
KX Unveils New Enhancements to kdb+, Advancing Data
WEBNEW YORK, Feb. 28, 2024 — KX, a global leader in high performance analytical databases and vector-based data management, has announced substantial improvements to kdb+, the foundation of the company’s ability to bring time-oriented data insights and generative AI capabilities to the world’s leading enterprises. Recognized as the fastest in-memory, columnar analytics database, kdb+ has ...
Who’s Winning In the $17B AIOps and Observability Market
WEBMar 4, 2021 · Here’s a rundown of the major players in the space: Splunk (NASDAQ: SPLK), which was founded in 2003, was among the first vendor to gain a foothold in the modern AIOps/log monitoring/cloud observability stack and remains the giant in the field, with more than 15,000 paying customers for its proprietary offering. The company enjoyed $2.4 billion in revenue in 2020 and currently has a $23 ...
What’s Driving Python’s Massive Popularity? - Datanami
WEBOct 20, 2021 · The flexibility of Python is front and center for Prefect, a Washington, D.C.-based company that develops a data pipeline tool based on Python. According to Prefect CTO Chris White, Python is the perfect tool for the job. Prefect CTO Chris White appreciates the flexibility of Python. “At a high level, our design sensibility is sensible ...
Make it Automatic: Tuning SQL with AI - Datanami
WEBAug 20, 2020 · Utilizing Artificial Intelligence (AI) for SQL tuning can help DBAs and developers reap the benefits of a true automated process. SQL performance tuning, which 78% of database developers say they do manually, can take up large amounts of time; 73% cited it as their biggest time commitment. Automating SQL performance tuning with AI, …
Databricks: We’re a Data Intelligence Platform Now - Datanami
WEBNov 16, 2023 · Thanks to the rise of AI, the nature of data platforms is changing, which necessitates a new name: the Data Intelligence Platform. “At Databricks, we believe that soon, AI will eat all software,” Databricks co-founders wrote in a November 15 blog post. “That is, the software built over the past decades will be intelligent, leveraging data ...
To Centralize or Not to Centralize Your Data--That Is the Question
WEBJul 14, 2020 · But the track record in building modern centralized data systems is mixed. “The data lakes of the bygone big data era, if you will, have become data swamps, because people have not been able to use that effectively,” he says. For many of today’s AI use cases, companies just won’t get a good return on their centralization investment, he ...
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