What is Elasticsearch?
Who uses Elasticsearch?
Here are some stack decisions, common use cases and reviews by companies and developers who chose Elasticsearch in their tech stack.
I would like to assess search functionality along with some analytical use cases like aggregating, faceting etc.,. I would like to know which is the best database to go with among Elasticsearch, MongoDB and FaunaDB.
Hi, I need advice on which Database tool to use in the following scenario:
I work with Cesium, and I need to save and load CZML snapshot and update objects for a recording program that saves files containing several entities (along with the time of the snapshot or update). I need to be able to easily load the files according to the corresponding timeline point (for example, if the update was recorded at 13:15, I should be able to easily load the update file when I click on the 13:15 point on the timeline). I should also be able to make geo-queries relatively easily.
I am currently thinking about Elasticsearch or PostgreSQL, but I am open to suggestions. I tried looking into Time Series Databases like TimescaleDB but found that it is unnecessarily powerful than my needs since the update time is a simple variable.
Thanks for your advice in advance!
We have a Kafka topic having events of type A and type B. We need to perform an inner join on both type of events using some common field (primary-key). The joined events to be inserted in Elasticsearch.
In usual cases, type A and type B events (with same key) observed to be close upto 15 minutes. But in some cases they may be far from each other, lets say 6 hours. Sometimes event of either of the types never come.
In all cases, we should be able to find joined events instantly after they are joined and not-joined events within 15 minutes.
Elasticsearch Used for powering full-text search applications.
Hi, We have a situation, where we are using Prometheus to get system metrics from PCF (Pivotal Cloud Foundry) platform. We send that as time-series data to Cortex via a Prometheus server and built a dashboard using Grafana. There is another pipeline where we need to read metrics from a Linux server using Metricbeat, CPU, memory, and Disk. That will be sent to Elasticsearch and Grafana will pull and show the data in a dashboard.
Is it OK to use Metricbeat for Linux server or can we use Prometheus?
What is the difference in system metrics sent by Metricbeat and Prometheus node exporters?
Hey everybody! (1) I am developing an android application. I have data of around 3 million record (less than a TB). I want to save that data in the cloud. Which company provides the best cloud database services that would suit my scenario? It should be secured, long term useable, and provide better services. I decided to use Firebase Realtime database. Should I stick with Firebase or are there any other companies that provide a better service?
(2) I have the functionality of searching data in my app. Same data (less than a TB). Which search solution should I use in this case? I found Elasticsearch and Algolia search. It should be secure and fast. If any other company provides better services than these, please feel free to suggest them.
- 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