Elasticsearch Reviews & Product Details

Build next generation search experiences for your customers and employees that support your organization’s technology objectives. Elasticsearch gives developers a flexible toolkit to build AI-powered search applications with an extensible platform that also provides out of the box capabilities Save development cycles and get upgraded search to market faster. Elasticsearch is the world’s most popular search engine, backed by a robust developer community. Elastic’s platform lets you ingest any data source, build modern search experiences that integrate with large language models and generative AI, and visualize analytics for data-driven decision-making and insights. Our consistent investments in machine learning help developers stay ahead of the curve with the fast, highly relevant search, at scale. -- Flexible platform and toolkit to deliver powerful search functionality regardless of development resources and technology objectives. Our open platform delivers consistent functionality for cloud, hybrid, or on-prem deployments with exceptional performance, reliability, and scalability. -- Built-in search analytics and visualization tools give teams access to search data and real-time dashboards for optimizing search results and operations. Non-tech teams can tune search experiences too–no development team needed. -- Next level search relevance using textual search, vector search, hybrid, and semantic search and machine learning model flexibility. Powerful capabilities like a vector database provide the foundation for creating, storing, and searching embeddings to capture the context of your unstructured data. Use machine-learning enabled inference at data ingestion, and bring your own model - open or proprietary - to deliver the best, industry-specific results.

Product Website

Seller

Elastic

Discussions

Elasticsearch Community

Languages Supported

English

Product Description

Create and manage a search experience tailored to your specific needs in no time, thanks to seamless indexing, best-in-class relevance and intuitive customization features.

Overview by

Mishi Schueller

Pricing

Pricing provided by Elasticsearch.

Standard

$79

per month

View More Pricing Information

Elasticsearch Integrations

(18)

Verified by Elasticsearch

Elasticsearch Media

Official Downloads

(3)

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Aman K.

Cloud Data Engineer

Enterprise (> 1000 emp.)

5/11/2025

"A nosql fast, scalable and realiable big data tool"

5/5

What do you like best about Elasticsearch?

its very fast, easy implementation and scalable, offer end to end solution from data ingestion using huge numbers of integrations with other tools and platforms, with its agents and open source supported data ingestion and communication protocols, Elasticsearch as NOsql data base and kibana as their analytics tool, with many options for dashboards reporting and visualization, like lens, tsvb, vega visualization and many more Review collected by and hosted on G2.com.

What do you dislike about Elasticsearch?

migration from tradition databases which holds many to many relationships in their table schemas are hard to migrate to elastic as their are some other tricks and techniques to do this but I think it can be improved Review collected by and hosted on G2.com.

Sridharreddy A.

DevOps

Enterprise (> 1000 emp.)

10/7/2025

"Elasticsearch for Search and Match"

4.5/5

What do you like best about Elasticsearch?

Combining traditional keyword search (BM25) with semantic vector search, enabling powerful hybrid retrieval. This makes it ideal for modern search experiences that require both precision and contextual understanding Review collected by and hosted on G2.com.

What do you dislike about Elasticsearch?

Complex Configuration

The configuration process—especially for Elastic Enterprise Search—is often described as difficult and time-consuming. Users find that even basic setup tasks can be challenging without deep technical kno Review collected by and hosted on G2.com.

Rupam C.

Senior vice president

Enterprise (> 1000 emp.)

10/8/2025

"Elk usage on elastic using kibana dashboards"

5/5

What do you like best about Elasticsearch?

Log monitoring and it's feature to identify anomalies using enterprise elk license version and creating the dashboards on elastic are so easy Review collected by and hosted on G2.com.

What do you dislike about Elasticsearch?

Nothing all features including th exam agents features are very good for elastic Review collected by and hosted on G2.com.

Muhammad A.

Security Engineer

Mid-Market (51-1000 emp.)

10/10/2025

"Very high, if they need to build a search feature or analyze time-series data like logs or metrics."

5/5

What do you like best about Elasticsearch?

The most compelling feature of Elasticsearch is its scalability and performance in handling high-volume, high-velocity data Review collected by and hosted on G2.com.

What do you dislike about Elasticsearch?

The primary critique of Elasticsearch centers on its operational complexity and resource intensity at scale. While it offers immense power, it is not a tool you can simply 'set and forget. Review collected by and hosted on G2.com.

Rajnikant c.

Dvp

Enterprise (> 1000 emp.)

10/7/2025

"Very good experience"

5/5

What do you like best about Elasticsearch?

The platform offers both hot and cold storage options, which is useful for managing data efficiently. I also appreciate the log monitoring capabilities provided through ELK, as well as the ability to create dashboards in Kibana. Review collected by and hosted on G2.com.

What do you dislike about Elasticsearch?

Everything about elk is great; there’s really nothing I dislike about it. Review collected by and hosted on G2.com.

Verified User in Newspapers

Mid-Market (51-1000 emp.)

9/23/2025

"Elasticsearch Review"

4.5/5

What do you like best about Elasticsearch?

- Reliable at scale: sharding and replication deliver solid HA; rolling restarts and node recovery are predictable when procedures are followed.

- Great for observability: fast searches/aggregations and the Elastic stack make log/metrics/APM pipelines effective for troubleshooting.

- Good ops surface: rich APIs and CAT endpoints make it scriptable, monitorable, and easy to automate runbooks. Review collected by and hosted on G2.com.

What do you dislike about Elasticsearch?

- Finicky to run well: JVM/heap sizing, shard counts, and segment merges need care—or they bite during peak.

- Changes can be risky: upgrades, reindexing, and rebalances can cause latency spikes without tight change control.

- Costly footprint: hot nodes are CPU/IO heavy; replicas and long retention drive storage costs; licensing/features add complexity. Review collected by and hosted on G2.com.

What problems is Elasticsearch solving and how is that benefiting you?

Elasticsearch lets us deliver fast, relevant search and discovery across our articles. New articles become searchable within seconds, and aggregations power features like “most read,” topic pages, and related-article widgets. Flexible analyzers handle titles, body text, tags, and authors without rigid schemas, while replicas keep article search available during node failures. Net result: lower query latency, higher reader engagement, and a simpler path from article publish to discovery. Review collected by and hosted on G2.com.

Aris Lawrence S.

Tools Engineer

Mid-Market (51-1000 emp.)

9/23/2025

"Simple but does the job well."

5/5

What do you like best about Elasticsearch?

- Data enrichment

- Logs, Metrics and APM monitoring

- It has a built in Dashboards

- Plug and Play, deploy and start using with minimal configuration

- It has fleet management system for easy configuration. Review collected by and hosted on G2.com.

What do you dislike about Elasticsearch?

- Not cheap compared to Coralogix.

- Elastic Agents needs re-enrollment to connect to the other Elastic Instance. Review collected by and hosted on G2.com.

Verified User in Computer Software

Enterprise (> 1000 emp.)

9/24/2025

"Elasticsearch for Observability"

3.5/5

What do you like best about Elasticsearch?

We run Elastic on Kubernetes and have run up to 20 separate elastic clusters throughout the world. Three years ago we invested in the ECK operator and consolidated 9 of those elastic clusters down to 3. ECK has increased our confidence to run fewer, larger environments with multiple node pools and greater flexibility. Review collected by and hosted on G2.com.

What do you dislike about Elasticsearch?

Elasticsearch can be a bear to tune for performance, at scale, on a budget. Like any database, it's resource hungry. Additionally, the company has work to do to keep up with modern-day vulnerability management practices and remediation schedules. Review collected by and hosted on G2.com.

David W.

Chief Consultant

Enterprise (> 1000 emp.)

10/8/2025

"Powerful and Flexible"

4.5/5

What do you like best about Elasticsearch?

The flexibility to solve many problems, the expansive feature set allows us to use Elasticsearch in a variety of ways. Review collected by and hosted on G2.com.

What do you dislike about Elasticsearch?

Slight learning curve, as it can do many things, you need to be aware of the use case you are solving for or it can get overwhelming without proper planning. Review collected by and hosted on G2.com.

Verified User in Information Technology and Services

Small-Business (50 or fewer emp.)

9/23/2025

"Elastic is Just Superb."

5/5

What do you like best about Elasticsearch?

I like it's performance, it's very good at faster response when compared with other monitoring tools. the API response was too faster.

there are lot many connectors available to get the data from different systems like kafka, database, mongodb etc. Review collected by and hosted on G2.com.

What do you dislike about Elasticsearch?

I doesn't see elastic making as user friendly from Kibana while running the searches. Splunk gives good in that. i really wanted to improve in that area. Review collected by and hosted on G2.com.