Existing shards can be split in Solr, but rebalancing is difficult. Solr uses ZooKeeper to coordinate clusters Elasticsearch is inherently designed for horizontal scaling, making scaling easier. Shards can also be split in an existing index via the Split Index API or the Reindex API.
1. Elasticsearch : It is a full text search and open-source motor. It is stage free and can be run on any stage since it is based on java programming language. It permits client to get to extremely huge measure of information at exceptionally rapid.
Highlights
It is versatile.
It is open-source.
It report situated.
Great execution
2. Solr : Building search applications and an open-source platform is utilized. The applications that are assembled utilizing Solr give extremely elite execution. Solr is utilized with Hadoop as Hadoop handles enormous measure of information, Solr helps us in figure out the necessary data from such a huge source.
Observing is simple.
It is exceptionally versatile.
Continuous ordering
Information can be gotten from both neighborhood and web sources.
Difference between Elasticsearch and Solr :
| Solr |
Elasticsearch |
| 1. |
In solr push questions are not upheld. |
Push queries are supported. |
| 2. |
It is an open tool. |
It is managed by the development community. |
| 3. |
It is not supported to search across multiple indexes. |
It supports search across multiple indexes. |
| 4. |
Queries return in JSON, XML and CSV format. |
Queries return JSON documents format. |
| 5. |
It is scalable but only with the help of SolrCloud and zookeeper. |
It is scalable by default. |
| 6. |
Grouping of result is possible. |
Grouping of result is not possible. |
| 7. |
It supports spellcheck. |
It doesn’t support spellcheck. |
| 8. |
Query elevation is possible. |
Query elevation is not possible. |
| 9. |
It built for Web Search. |
It built for scalable search. |
| 10. |
It Supports Deduplication. |
It doesn’t Support Deduplication. |
| 11. |
It is focused mainly on text-based searching. |
It is focused on text-based searching and in log analytics. |
| 12. |
It supports document structure. |
It supports nested object. |
| 13. |
JIRA reports issue. |
Support of JIRA is not available. |
| 14. |
In solr update requires configuration change. |
In Elasticsearch update requires custom change. |
| 15. |
Analyzers are predefined. |
Analyzers are set during query. |
Must Read: Can I major in computer science if I know nothing?
Answered 12 months ago
Matti Karttunen
Existing shards can be split in Solr, but rebalancing is difficult. Solr uses ZooKeeper to coordinate clusters Elasticsearch is inherently designed for horizontal scaling, making scaling easier. Shards can also be split in an existing index via the Split Index API or the Reindex API.
1. Elasticsearch : It is a full text search and open-source motor. It is stage free and can be run on any stage since it is based on java programming language. It permits client to get to extremely huge measure of information at exceptionally rapid.
Highlights
It is versatile.
It is open-source.
It report situated.
Great execution
2. Solr : Building search applications and an open-source platform is utilized. The applications that are assembled utilizing Solr give extremely elite execution. Solr is utilized with Hadoop as Hadoop handles enormous measure of information, Solr helps us in figure out the necessary data from such a huge source.
Observing is simple.
It is exceptionally versatile.
Continuous ordering
Information can be gotten from both neighborhood and web sources.
Difference between Elasticsearch and Solr :
Must Read: Can I major in computer science if I know nothing?