Elastic Announces First-of-its-kind Search AI Lake to Scale Low Latency Search
15 Mayo 2024 - 8:00AM
Business Wire
The pioneering architecture powers a new
Elastic Cloud Serverless offering for rapid search, observability,
and security workloads
Elastic (NYSE: ESTC), the Search AI Company, today announced
Search AI Lake, a first-of-its-kind, cloud-native architecture
optimized for real-time, low-latency applications including search,
retrieval augmented generation (RAG), observability and security.
The Search AI Lake also powers the new Elastic Cloud Serverless
offering, which removes operational overhead to automatically scale
and manage workloads.
With the expansive storage capacity of a data lake and the
powerful search and AI relevance capabilities of Elasticsearch,
Search AI Lake delivers low-latency query performance without
sacrificing scalability, relevance, or affordability.
Search AI Lake benefits include:
- Boundless scale, decoupled compute and storage: Fully
decoupling storage and compute enables effortless scalability and
reliability using object storage, dynamic caching supports high
throughput, frequent updates, and interactive querying of large
data volumes. This eliminates the need for replicating indexing
operations across multiple servers, cutting indexing costs and
reducing data duplication.
- Real-time, low latency: Multiple enhancements maintain
excellent query performance even when the data is safely persisted
on object stores. This includes the introduction of smart caching
and segment-level query parallelization to reduce latency by
enabling faster data retrieval and allowing more requests to be
processed quickly.
- Independently scale indexing and querying: By separating
indexing and search at a low level, the platform can independently
and automatically scale to meet the needs of a wide range of
workloads.
- GAI optimized native inference and vector search:
Users can leverage a native suite of powerful AI relevance,
retrieval, and reranking capabilities, including a native vector
database fully integrated into Lucene, open inference APIs,
semantic search, and first- and third-party transformer models,
which work seamlessly with the array of search
functionalities.
- Powerful query and analytics: Elasticsearch’s powerful
query language, ES|QL, is built in to transform, enrich, and
simplify investigations with fast concurrent processing
irrespective of data source and structure. Full support for precise
and efficient full-text search and time series analytics to
identify patterns in geospatial analysis are also included.
- Native machine learning: Users can build, deploy, and
optimize machine learning directly on all data for superior
predictions. For security analysts, prebuilt threat detection rules
can easily run across historical information, even years back.
Similarly, unsupervised models perform near-real-time anomaly
detections retrospectively on data spanning much longer time
periods than other SIEM platforms.
- Truly distributed - cross-region, cloud, or hybrid:
Query data in the region or data center where it was generated from
one interface. Cross-cluster search (CCS) avoids the requirement to
centralize or synchronize. It means within seconds of being
ingested, any data format is normalized, indexed, and optimized to
allow for extremely fast querying and analytics. All while reducing
data transfer and storage costs.
Search AI Lake powers a new Elastic Cloud Serverless offering
that harnesses the innovative architecture’s speed and scale to
remove operational overhead so users can quickly and seamlessly
start and scale workloads. All operations, from monitoring and
backup to configuration and sizing, are managed by Elastic – users
just bring their data and choose Elasticsearch, Elastic
Observability, or Elastic Security on Serverless.
“To meet the requirements of more AI and real-time workloads,
it’s clear a new architecture is needed that can handle compute and
storage at enterprise speed and scale – not one or the other,” said
Ken Exner, chief product officer at Elastic. “Search AI Lake
pours cold water on traditional data lakes that have tried to fill
this need but are simply incapable of handling real-time
applications. This new architecture and the serverless projects it
powers are precisely what’s needed for the search, observability,
and security workloads of tomorrow.”
Search AI Lake and Elastic Cloud Serverless are currently
available in tech preview. For more information on how to get
started, read the Elastic blog.
About Elastic
Elastic (NYSE: ESTC), the Search AI Company, enables everyone to
find the answers they need in real-time using all their data, at
scale. Elastic’s solutions for search, observability and security
are built on the Elastic Search AI Platform, the development
platform used by thousands of companies, including more than 50% of
the Fortune 500. Learn more at elastic.co.
Elastic and associated marks are trademarks or registered
trademarks of Elastic N.V. and its subsidiaries. All other company
and product names may be trademarks of their respective owners.
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