Extreme Search is an expandable solid-state (SSD) storage appliance with indwelling search. Raw data search is accessed with two python commands. The distributed file system keeps it simple to use, and no matter how much storage you add, the content search will complete in <12 minutes. That's it! Just search when you need to, for whatever you need, and get results fast. Byte-level visibility on massive data lakes without expensive ingest or indexing.
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Offering
Real time data visibility is essential for rapid response and situational awareness but raw data search in big data can be painfully slow and time to results is unpredictable. Today's modern enterprise requires technology with optimum performance and high efficiency to support both centralized data centers and remote locations. Increases in power and footprint are unrelenting, and identification of critical information can take days, or even weeks, with current technology. Extreme search is blazingly fast search embedded in data lake storage. Fully scalable SSD storage with Lewis Rhodes Labs search technology on Intel Agilex® FPGAs, rapidly scans raw data, removing indexing burdens. On demand identification and transfer of essential files from data lake storage to CPU restores efficiency to existing software platforms. Extreme search files are easily accessed locally or remotely, data stays in storage, and searches complete in less than 12 minutes instead of hours or days. Search capacity increases with storage so time to results doesn't change with more data. System CPU and GPU can be optimized for analytics and problem-solving tasks, instead of sifting through swamps of data. Extreme search processing generates very little heat, so rapid, full bandwidth search is possible within storage, without moving data. The low power and small footprint fit within tight constraints with no performance sacrifice, downloading the search workload of hundreds of servers and restoring efficiency to existing software solutions. Distributing fast search into storage accelerates access to sparse events and allows software platforms designed for moderate data loads to more effectively leverage data. In collaborative solutions with integrated storage and analytics platforms such as Splunk and elastic, extreme search can manage overwhelming data burdens to improve timely visibility on mission critical data.