DSE Search versus Open Source Apache Solr

By virtue of its integration into DataStax Enterprise, differences exist between DSE Search and Open Source Solr (OSS).

Major differences

Major differences
Capability DSE Search OS Solr Description

Includes a database

yes

no

For OSS, create an interface to add a database.

Indexes real-time data

yes

no

Ingests real-time data and automatically indexes the data.

Provides an intuitive way to update data

yes

no

CQL for loading and updating data.

Supports data distribution

yes

yes [1]

Transparently distributes real-time, analytics, and search data to multiple nodes in a cluster.

Balances loads on nodes/shards

yes

no

Unlike Solr and Solr Cloud, DSE Search loads can be efficiently rebalanced.

Spans indexes over multiple datacenters

yes

no

A DSE cluster can have more than one datacenter for different types of nodes.

Makes durable updates to data

yes

no

Updates are durable and written to the commit log for all updates.

Automatically reindexes search data

yes

no

OSS requires the client to reingest everything to reindex data in Solr.

Upgrades of Apache LuceneĀ® preserve data

yes

no

DataStax integrates Lucene upgrades periodically and data is preserved when you upgrade DSE.

Supports timeAllowed queries with deep paging.

yes

no

OSS Solr does not support using timeAllowed queries with deep paging.

[1] OSS requires using Zookeeper.

Feature differences

DSE Search supports limiting queries by time by using the Solr timeAllowed parameter. DSE Search differs from native Solr:

  • If the timeAllowed is exceeded, an exception is thrown.

  • If the timeAllowed is exceeded, and the additional shards.tolerant parameter is set to true, the application returns the partial results collected so far.

    When partial results are returned, the CQL custom payload contains the DSESearch.isPartialResults key.

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