Druid聽vs聽Elasticsearch

Druid
Druid

208
391
+ 1
20
Elasticsearch
Elasticsearch

16.8K
12.5K
+ 1
1.6K
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Druid vs Elasticsearch: What are the differences?

What is Druid? Fast column-oriented distributed data store. Druid is a distributed, column-oriented, real-time analytics data store that is commonly used to power exploratory dashboards in multi-tenant environments. Druid excels as a data warehousing solution for fast aggregate queries on petabyte sized data sets. Druid supports a variety of flexible filters, exact calculations, approximate algorithms, and other useful calculations.

What is Elasticsearch? Open Source, Distributed, RESTful Search Engine. 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).

Druid can be classified as a tool in the "Big Data Tools" category, while Elasticsearch is grouped under "Search as a Service".

"Real Time Aggregations" is the primary reason why developers consider Druid over the competitors, whereas "Powerful api" was stated as the key factor in picking Elasticsearch.

Druid and Elasticsearch are both open source tools. It seems that Elasticsearch with 42.4K GitHub stars and 14.2K forks on GitHub has more adoption than Druid with 8.32K GitHub stars and 2.08K GitHub forks.

According to the StackShare community, Elasticsearch has a broader approval, being mentioned in 2003 company stacks & 979 developers stacks; compared to Druid, which is listed in 24 company stacks and 12 developer stacks.

Advice on Druid and Elasticsearch
Rana Usman Shahid
Rana Usman Shahid
Chief Technology Officer at TechAvanza | 4 upvotes 5K views

Hey everybody! (1) I am developing an android application. I have data of around 3 million (Less than a TB). I want to save that data in a 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. Also please guide me with reasons whether I choose Firebase or not. Also, please guide if any other company provides better services than Firebase. (2) I have the functionality of searching data in my app. Data is around 3 million (Less than a TB). Which search engine should I use in this case? I searched for Elasticsearch and Algolia search. Kindly suggest the best options for me as to which service I should use. It should be secure and fast. If any other company provides better services than these, please tell me. Thank you!

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What is Druid?

Druid is a distributed, column-oriented, real-time analytics data store that is commonly used to power exploratory dashboards in multi-tenant environments. Druid excels as a data warehousing solution for fast aggregate queries on petabyte sized data sets. Druid supports a variety of flexible filters, exact calculations, approximate algorithms, and other useful calculations.

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).
What companies use Druid?
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What are some alternatives to Druid and Elasticsearch?
HBase
Apache HBase is an open-source, distributed, versioned, column-oriented store modeled after Google' Bigtable: A Distributed Storage System for Structured Data by Chang et al. Just as Bigtable leverages the distributed data storage provided by the Google File System, HBase provides Bigtable-like capabilities on top of Apache Hadoop.
Cassandra
Partitioning means that Cassandra can distribute your data across multiple machines in an application-transparent matter. Cassandra will automatically repartition as machines are added and removed from the cluster. Row store means that like relational databases, Cassandra organizes data by rows and columns. The Cassandra Query Language (CQL) is a close relative of SQL.
MongoDB
MongoDB stores data in JSON-like documents that can vary in structure, offering a dynamic, flexible schema. MongoDB was also designed for high availability and scalability, with built-in replication and auto-sharding.
Prometheus
Prometheus is a systems and service monitoring system. It collects metrics from configured targets at given intervals, evaluates rule expressions, displays the results, and can trigger alerts if some condition is observed to be true.
Clickhouse
It allows analysis of data that is updated in real time. It offers instant results in most cases: the data is processed faster than it takes to create a query.
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