Elasticsearch Features

As reported in 88 Elasticsearch reviews. Ability to search across different data sources, such as databases, intranets, and applications.

Offers search for a variety of file types. 86 reviewers of Elasticsearch have provided feedback on this feature.

As reported in 87 Elasticsearch reviews. Ability to search in multiple languages without any additional work required.

Based on 93 Elasticsearch reviews. Ability of search to handle typos.

Allows the end user to filter and refine search results. 89 reviewers of Elasticsearch have provided feedback on this feature.

Based on 85 Elasticsearch reviews. Ability to define synonyms for search terms.

As reported in 87 Elasticsearch reviews. Allows the user to see highlighted results to see which words or phrases match the search query.

Allows the user to search in a natural, intuitive manner. This feature was mentioned in 86 Elasticsearch reviews.

Gives the user targeted, personalized results based on their activity or preferences. This feature was mentioned in 87 Elasticsearch reviews.

Allows the user to understand how other users are using the search functionality through dashboards, KPIs, etc. This feature was mentioned in 85 Elasticsearch reviews.

Based on 86 Elasticsearch reviews. Ability to plug the search capabilities into other applications or tools.

Stores and queries data as JSON-like documents. This feature was mentioned in 28 Elasticsearch reviews.

Based on 25 Elasticsearch reviews. Supports multiple data types like lists, sets, hashes (similar to map), sorted sets etc.

Based on 26 Elasticsearch reviews. Allows users to index at ingest and query endlessly across data.

Notifies specific events like document inserts, updates, replaces, deletes etc and responds in real-time. 25 reviewers of Elasticsearch have provided feedback on this feature.

Implements auto horizontal data partitioning that allows storing data on more than one node to scale out. 26 reviewers of Elasticsearch have provided feedback on this feature.

Based on 27 Elasticsearch reviews. Restores a database to a correct(consistent) state in the event of a failure.

Copy data across multiple servers through master-slave, peer-to-peer replication architecture etc. This feature was mentioned in 25 Elasticsearch reviews.

Helps interpret SQL queries and determine the fastest method of execution This feature was mentioned in 24 Elasticsearch reviews.

As reported in 26 Elasticsearch reviews. Provides predefined system roles, privileges, and user-defined roles to users.

Based on 26 Elasticsearch reviews. Allows integration with external security mechanisms like Kerberos, LDAP authentication etc.

Provides an audit log to track access and operations performed on databases for regulatory compliance. This feature was mentioned in 25 Elasticsearch reviews.

As reported in 25 Elasticsearch reviews. Provides encryption capability for all the data at rest using encryption keys.

Based on 26 Elasticsearch reviews. Provides support to handle structured, semi-structured, and unstructured data with equal effect.

As reported in 25 Elasticsearch reviews. Available on multiple operating systems like Linux, Windows, MacOS etc.

Based on 23 Elasticsearch reviews. Allows users to connect business intelligence tools to the database.

As reported in 14 Elasticsearch reviews. Allows semantic search service by organizing data.

As reported in 15 Elasticsearch reviews. Allows indexing of data for search and retrieval.

The feature aids in filtering queries by metadata thus achieving accurate search. 13 reviewers of Elasticsearch have provided feedback on this feature.

As reported in 14 Elasticsearch reviews. This feature integrates vectors and metadata indexes into a single index.

Ensures that the service is reliable and available when needed, minimizing downtime and service interruptions.

Allows the user to scale the training of models efficiently, making it easier to deal with larger datasets and more complex models.

Provides the user the ability to get quick and low-latency responses during the inference stage, which is critical for real-time applications.

Offers the user a transparent pricing model for API calls, enabling better budget planning and cost control.

Provides the user the ability to allocate computational resources based on demand, making it cost-effective.

Allows the user to minimize energy usage during both training and inference, which is becoming increasingly important for sustainable operations.

Offers the user the flexibility to deploy across multiple cloud providers, reducing the risk of vendor lock-in.

Provides the user the ability to seamlessly connect with various data sources and pipelines, simplifying data ingestion and pre-processing.

Allows the user to easily integrate the generative AI models into existing workflows and systems via APIs.

Helps the user maintain compliance with GDPR and other data protection regulations, which is crucial for businesses operating globally.

Allows the user to set up access controls based on roles within the organization, enhancing security.

Ensures that data is encrypted during transit and at rest, providing an additional layer of security.

Provides the user with comprehensive and clear documentation, aiding in quicker adoption and troubleshooting.

Allows the user to gauge the level of community support and third-party extensions available, which can be useful for problem-solving and extending functionality.

As reported in 16 Elasticsearch reviews. Recommends relevant queries as user searches.

As reported in 16 Elasticsearch reviews. Ability of search to handle typos.

Ability to define synonyms for search terms. 16 reviewers of Elasticsearch have provided feedback on this feature.

Based on 16 Elasticsearch reviews. Allows the user to search in a natural, intuitive manner.

Adjust the ranking of the search results for certain keywords. This feature was mentioned in 16 Elasticsearch reviews.

Ability to deliver tailored search experiences. 16 reviewers of Elasticsearch have provided feedback on this feature.

Allows the user to understand how other users are using the search functionality through dashboards, KPIs, etc. This feature was mentioned in 16 Elasticsearch reviews.

As reported in 16 Elasticsearch reviews. Ability to integrate across business systems and websites.

Ability to search across different data sources, such as multiple domains, brand sites, etc. This feature was mentioned in 16 Elasticsearch reviews.

As reported in 16 Elasticsearch reviews. Ability to search in multiple languages without any additional work required.

Allows users to generate text based on a text prompt. This feature was mentioned in 16 Elasticsearch reviews.

Condenses long documents or text into a brief summary. This feature was mentioned in 16 Elasticsearch reviews.

Based on 18 Elasticsearch reviews. Embed generative (RAG) capabilities for enhanced answer generation using retrieved content

Allow tuning relevance and ranking through machine-learning or Learning-to-Rank models 19 reviewers of Elasticsearch have provided feedback on this feature.

Enable the system to understand and interpret natural-language queries 20 reviewers of Elasticsearch have provided feedback on this feature.

Based on 18 Elasticsearch reviews. Offers search for a variety of file types.

Ability to search across different data sources, such as databases, intranets, and applications. 18 reviewers of Elasticsearch have provided feedback on this feature.

As reported in 18 Elasticsearch reviews. Ability to search in multiple languages without any additional work required.

Gives the user targeted, personalized results based on their activity or preferences. 18 reviewers of Elasticsearch have provided feedback on this feature.

Allows the user to understand how other users are using the search functionality through dashboards, KPIs, etc. 19 reviewers of Elasticsearch have provided feedback on this feature.

Ability to plug the search capabilities into other applications or tools. This feature was mentioned in 20 Elasticsearch reviews.

Based on 19 Elasticsearch reviews. Allows the user to see highlighted results to see which words or phrases match the search query.

Allows the end user to filter and refine search results. 19 reviewers of Elasticsearch have provided feedback on this feature.

Ability of search to handle typos. 19 reviewers of Elasticsearch have provided feedback on this feature.

Ability to define synonyms for search terms. This feature was mentioned in 18 Elasticsearch reviews.