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Big Data Career Notes for February 2025
It’s that time of month again–time for Big Data Career Notes, a monthly feature where we keep you up-to-date on the latest career developments for individuals in the big data community. Whether it’s a promotion, ne Read more…
Elastic Rolls Out Major Upgrades for Faster and More Efficient Search
Elastic, the company behind Elasticsearch, has introduced several key enhancements to its platform with the release of Elastic 8.17. The release focuses on performance enhancements, expanded capabilities, and greater ope Read more…
Don’t Believe the Big Database Hype, Stonebraker Warns
How we store and serve data are critical factors in what we can do with data, and today we want to do oh-so much. That big data necessity is the mother of all invention, and over the past 20 years, it has spurred an imme Read more…
Elastic Launches Search AI Lake to Scale Low Latency Search
The rapidly growing scale of data has led to the emergence of data lakes, which offer a centralized repository for the storage of structured and unstructured data at any scale. Data lakes architecture often separates com Read more…
Forrester Slices and Dices the Vector Database Market
The large language model (LLM) revolution has transformed vector databases from obscure search tech into must-have products for AI success. But which vector database features should you look for, and which vendors are in Read more…
Elastic Looks to Simplify Queries with New Piped Language
Elasticsearch Query Language (ES|QL), Elastic’s latest offering that introduces a piped query syntax and supports concurrent processing, is being touted by the company as a major leap forward in data querying technolog Read more…
Big Data Career Notes: October 2023 Edition
In this monthly feature, we’ll keep you up-to-date on the latest career developments for individuals in the big data community. Whether it’s a promotion, new company hire, or even an accolade, we’ve got the details Read more…
Big Data Career Notes: August 2023 Edition
In this monthly feature, we’ll keep you up-to-date on the latest career developments for individuals in the big data community. Whether it’s a promotion, new company hire, or even an accolade, we’ve got the details Read more…
Big Data Career Notes: July 2023 Edition
In this monthly feature, we’ll keep you up-to-date on the latest career developments for individuals in the big data community. Whether it’s a promotion, new company hire, or even an accolade, we’ve got the details Read more…
Fluentd Rides Wave of Roll-Your-Own Observability
Companies that want to collect gobs of observability data but process the data in multiple places while keeping it free from analytic tool vendor’s proprietary formats may be interested in Fluentd, an open source data Read more…
This Just In
Apr 11, 2025 |
SAN FRANCISCO, April 11, 2025 — Elastic has announced Elasticsearch runs with up to 40% higher indexing throughput on C4A VMs, powered by Google Axion, Google’s first custom Arm-based CPU, compared to previous generations of VMs on Google Cloud. Read more…
Apr 10, 2025 |
SAN FRANCISCO, April 10, 2025 — Elastic announced that the Elasticsearch vector database is now a natively supported information retrieval engine for Google Cloud’s Vertex AI platform.
“By integrating Elasticsearch as a native grounding engine in Google Cloud’s Vertex AI platform, our joint customers can seamlessly build RAG applications in a single workflow,” said Shay Banon, founder and chief technology officer at Elastic. Read more…
Apr 9, 2025 |
SAN FRANCISCO, April 9, 2025 — Elastic today announced the general availability of the Elastic Google Cloud Vertex AI platform integration in Elastic Observability.
This integration offers large language model (LLM) observability support for models hosted in Google Cloud’s Vertex AI platform, providing insights into costs, token usage, errors, prompts, responses and performance. Read more…
Feb 20, 2025 |
SAN FRANCISCO, Feb. 20, 2025 — Elastic today announced the Elasticsearch Open Inference API now supports Jina AI’s latest embedding models and reranking products. Developers building semantic search and RAG applications with the Elasticsearch vector database now benefit from Jina AI’s high-performance, cost-effective tools for GenAI information retrieval and semantic applications. Read more…
Dec 13, 2024 |
SAN FRANCISCO, Dec. 13, 2024 — Elastic today announced the general availability of Elasticsearch logsdb index mode. This latest innovation in log management reduces the storage footprint of log data by up to 65% compared to recent versions of Elasticsearch without logsdb index mode. Read more…
Dec 10, 2024 |
SAN FRANCISCO, Dec. 10, 2024 — Elastic, the Search AI Company, announced Elastic Rerank, a cross-encoder reranking model that offers powerful semantic search capabilities with no required reindexing, and high relevance, top performance, and efficiency for text search. Read more…
Dec 3, 2024 |
SAN FRANCISCO, Dec. 3, 2024 — Elastic today announced Elastic Security now offers expanded cloud detection and response (CDR) capabilities from a single SIEM to reduce tool fragmentation and streamline cloud security. Read more…
Dec 2, 2024 |
SAN FRANCISCO, Dec. 2, 2024 — Elastic today announced the general availability of its Elastic Cloud Serverless powered by a re-architectured Elasticsearch that is built on an industry-first Search AI Lake optimized for real-time applications. Read more…
Nov 25, 2024 |
SAN FRANCISCO, Nov. 25, 2024 — Elastic today announced it is strengthening its relationship with Amazon Web Services (AWS) by leveraging the latest generative artificial intelligence (AI) services from AWS. Read more…
Nov 15, 2024 |
SAN FRANCISCO, Nov. 15, 2024 — Elastic has announced its AI ecosystem to help enterprise developers accelerate building and deploying their Retrieval Augmented Generation (RAG) applications. Read more…
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