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  1. Stackups
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  3. Search
  4. Search As A Service
  5. Elasticsearch vs Sematext

Elasticsearch vs Sematext

OverviewComparisonAlternatives

Overview

Elasticsearch
Elasticsearch
Stacks35.5K
Followers27.1K
Votes1.6K
Sematext
Sematext
Stacks18
Followers31
Votes44

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Detailed Comparison

Elasticsearch
Elasticsearch
Sematext
Sematext

Elasticsearch is a distributed, RESTful search and analytics engine capable of storing data and searching it in near real time. Elasticsearch, Kibana, Beats and Logstash are the Elastic Stack (sometimes called the ELK Stack).

Sematext pulls together performance monitoring, logs, user experience and synthetic monitoring that tools organizations need to troubleshoot performance issues faster.

Distributed and Highly Available Search Engine;Multi Tenant with Multi Types;Various set of APIs including RESTful;Clients available in many languages including Java, Python, .NET, C#, Groovy, and more;Document oriented;Reliable, Asynchronous Write Behind for long term persistency;(Near) Real Time Search;Built on top of Apache Lucene;Per operation consistency;Inverted indices with finite state transducers for full-text querying;BKD trees for storing numeric and geo data;Column store for analytics;Compatible with Hadoop using the ES-Hadoop connector;Open Source under Apache 2 and Elastic License
Available in the Cloud and On Premises; Infrastructure Monitoring; Application Performance Monitoring; Log Management; Real User Monitoring; Synthetic Monitoring; Container/Docker/Kubernetes Monitoring; Server/VM Monitoring; Process Monitoring; Inventory Monitoring; Exposes Elasticsearch API; Includes Kibana; Can be used with Grafana; Ability to correlate logs, metrics, and events; Alerting, Anomaly Detection; Integrations with numerous ChatOps services; Ship data with Logstash, Syslog, Fluentd, Beats, Logagent, etc.; Multi-user and RBAC support; Powerful search and filter functionality; Custom tags
Statistics
Stacks
35.5K
Stacks
18
Followers
27.1K
Followers
31
Votes
1.6K
Votes
44
Pros & Cons
Pros
  • 329
    Powerful api
  • 315
    Great search engine
  • 231
    Open source
  • 214
    Restful
  • 200
    Near real-time search
Cons
  • 7
    Resource hungry
  • 6
    Diffecult to get started
  • 5
    Expensive
  • 4
    Hard to keep stable at large scale
Pros
  • 5
    Easy to set up
  • 5
    Great filtering and grouping
  • 5
    ECS integration
  • 5
    Vercel integration
  • 5
    Centralized log management
Integrations
Kibana
Kibana
Beats
Beats
Logstash
Logstash
Fluentd
Fluentd
Cloud Foundry
Cloud Foundry
Cassandra
Cassandra
PagerDuty
PagerDuty
Solr
Solr
Apache Spark
Apache Spark
Azure Kubernetes Service
Azure Kubernetes Service
Ruby
Ruby
GitHub
GitHub
NGINX
NGINX

What are some alternatives to Elasticsearch, Sematext?

Algolia

Algolia

Our mission is to make you a search expert. Push data to our API to make it searchable in real time. Build your dream front end with one of our web or mobile UI libraries. Tune relevance and get analytics right from your dashboard.

Papertrail

Papertrail

Papertrail helps detect, resolve, and avoid infrastructure problems using log messages. Papertrail's practicality comes from our own experience as sysadmins, developers, and entrepreneurs.

Logmatic

Logmatic

Get a clear overview of what is happening across your distributed environments, and spot the needle in the haystack in no time. Build dynamic analyses and identify improvements for your software, your user experience and your business.

Loggly

Loggly

It is a SaaS solution to manage your log data. There is nothing to install and updates are automatically applied to your Loggly subdomain.

Logentries

Logentries

Logentries makes machine-generated log data easily accessible to IT operations, development, and business analysis teams of all sizes. With the broadest platform support and an open API, Logentries brings the value of log-level data to any system, to any team member, and to a community of more than 25,000 worldwide users.

Logstash

Logstash

Logstash is a tool for managing events and logs. You can use it to collect logs, parse them, and store them for later use (like, for searching). If you store them in Elasticsearch, you can view and analyze them with Kibana.

Graylog

Graylog

Centralize and aggregate all your log files for 100% visibility. Use our powerful query language to search through terabytes of log data to discover and analyze important information.

Fluentd

Fluentd

Fluentd collects events from various data sources and writes them to files, RDBMS, NoSQL, IaaS, SaaS, Hadoop and so on. Fluentd helps you unify your logging infrastructure.

Typesense

Typesense

It is an open source, typo tolerant search engine that delivers fast and relevant results out-of-the-box. has been built from scratch to offer a delightful, out-of-the-box search experience. From instant search to autosuggest, to faceted search, it has got you covered.

Amazon CloudSearch

Amazon CloudSearch

Amazon CloudSearch enables you to search large collections of data such as web pages, document files, forum posts, or product information. With a few clicks in the AWS Management Console, you can create a search domain, upload the data you want to make searchable to Amazon CloudSearch, and the search service automatically provisions the required technology resources and deploys a highly tuned search index.

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