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Learn MorePros of Amazon Elasticsearch Service
Pros of Datadog
Pros of Elasticsearch
Pros of Amazon Elasticsearch Service
- Easy setup, monitoring and scaling10
- Kibana7
- Document-oriented7
Pros of Datadog
- Monitoring for many apps (databases, web servers, etc)140
- Easy setup107
- Powerful ui87
- Powerful integrations84
- Great value70
- Great visualization54
- Events + metrics = clarity46
- Notifications41
- Custom metrics41
- Flexibility39
- Free & paid plans19
- Great customer support16
- Makes my life easier15
- Adapts automatically as i scale up10
- Easy setup and plugins9
- Super easy and powerful8
- In-context collaboration7
- AWS support7
- Rich in features6
- Docker support5
- Cute logo4
- Simple, powerful, great for infra4
- Monitor almost everything4
- Full visibility of applications4
- Easy to Analyze4
- Cost4
- Source control and bug tracking4
- Best than others4
- Automation tools4
- Best in the field3
- Expensive3
- Good for Startups3
- Free setup3
- APM2
Pros of Elasticsearch
- Powerful api329
- Great search engine315
- Open source231
- Restful214
- Near real-time search200
- Free98
- Search everything85
- Easy to get started54
- Analytics45
- Distributed26
- Fast search6
- More than a search engine5
- Awesome, great tool4
- Great docs4
- Highly Available3
- Easy to scale3
- Nosql DB2
- Document Store2
- Great customer support2
- Intuitive API2
- Reliable2
- Potato2
- Fast2
- Easy setup2
- Great piece of software2
- Open1
- Scalability1
- Not stable1
- Easy to get hot data1
- Github1
- Elaticsearch1
- Actively developing1
- Responsive maintainers on GitHub1
- Ecosystem1
- Community0
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Cons of Amazon Elasticsearch Service
Cons of Datadog
Cons of Elasticsearch
Cons of Amazon Elasticsearch Service
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Cons of Datadog
- Expensive20
- No errors exception tracking4
- External Network Goes Down You Wont Be Logging2
- Complicated1
Cons of Elasticsearch
- Resource hungry7
- Diffecult to get started6
- Expensive5
- Hard to keep stable at large scale4
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What is Amazon Elasticsearch Service?
Amazon Elasticsearch Service is a fully managed service that makes it easy for you to deploy, secure, and operate Elasticsearch at scale with zero down time.
What is Datadog?
Datadog is the leading service for cloud-scale monitoring. It is used by IT, operations, and development teams who build and operate applications that run on dynamic or hybrid cloud infrastructure. Start monitoring in minutes with Datadog!
What is Elasticsearch?
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).
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Jobs that mention Amazon Elasticsearch Service, Datadog, and Elasticsearch as a desired skillset
What companies use Amazon Elasticsearch Service?
What companies use Datadog?
What companies use Elasticsearch?
What companies use Amazon Elasticsearch Service?
What companies use Elasticsearch?
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What tools integrate with Amazon Elasticsearch Service?
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What tools integrate with Amazon Elasticsearch Service?
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What are some alternatives to Amazon Elasticsearch Service, Datadog, and Elasticsearch?
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.
Elastic Cloud
A growing family of Elastic SaaS offerings that make it easy to deploy, operate, and scale Elastic products and solutions in the cloud. From an easy-to-use hosted and managed Elasticsearch experience to powerful, out-of-the-box search solutions.
ELK
It is the acronym for three open source projects: Elasticsearch, Logstash, and Kibana. Elasticsearch is a search and analytics engine. Logstash is a server‑side data processing pipeline that ingests data from multiple sources simultaneously, transforms it, and then sends it to a "stash" like Elasticsearch. Kibana lets users visualize data with charts and graphs in Elasticsearch.
Postman
It is the only complete API development environment, used by nearly five million developers and more than 100,000 companies worldwide.
Postman
It is the only complete API development environment, used by nearly five million developers and more than 100,000 companies worldwide.