You can inject an auto-configured RedisConnectionFactory, StringRedisTemplate or vanilla RedisTemplate instance as you would any other Spring Bean. By default the instance will attempt to connect to a Redis server using localhost:6379:

@Component
public class MyBean {

	private StringRedisTemplate template;

	@Autowired
	public MyBean(StringRedisTemplate template) {
		this.template = template;
	}

	// ...

}

	Tip
	You can also register an arbitrary number of beans implementing LettuceClientConfigurationBuilderCustomizer for more advanced customizations. If you are using Jedis, JedisClientConfigurationBuilderCustomizer is also available.

If you add a @Bean of your own of any of the auto-configured types it will replace the default (except in the case of RedisTemplate the exclusion is based on the bean name ‘redisTemplate’ not its type). If commons-pool2 is on the classpath you will get a pooled connection factory by default.

You can inject an auto-configured org.springframework.data.mongodb.MongoDbFactory to access Mongo databases. By default the instance will attempt to connect to a MongoDB server using the URL mongodb://localhost/test:

import org.springframework.data.mongodb.MongoDbFactory;
import com.mongodb.DB;

@Component
public class MyBean {

	private final MongoDbFactory mongo;

	@Autowired
	public MyBean(MongoDbFactory mongo) {
		this.mongo = mongo;
	}

	// ...

	public void example() {
		DB db = mongo.getDb();
		// ...
	}

}

You can set spring.data.mongodb.uri property to change the URL and configure additional settings such as the replica set:

spring.data.mongodb.uri=mongodb://user:[email protected]:12345,mongo2.example.com:23456/test

Alternatively, as long as you’re using Mongo 2.x, specify a host/port. For example, you might declare the following in your application.properties:

spring.data.mongodb.host=mongoserver
spring.data.mongodb.port=27017

	Note
	spring.data.mongodb.host and spring.data.mongodb.port are not supported if you’re using the Mongo 3.0 Java driver. In such cases, spring.data.mongodb.uri should be used to provide all of the configuration.

	Tip
	If spring.data.mongodb.port is not specified the default of 27017 is used. You could simply delete this line from the sample above.

	Tip
	If you aren’t using Spring Data Mongo you can inject com.mongodb.Mongo beans instead of using MongoDbFactory.

You can also declare your own MongoDbFactory or Mongo bean if you want to take complete control of establishing the MongoDB connection.

Spring Data Mongo provides a MongoTemplate class that is very similar in its design to Spring’s JdbcTemplate. As with JdbcTemplate Spring Boot auto-configures a bean for you to simply inject:

import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.data.mongodb.core.MongoTemplate;
import org.springframework.stereotype.Component;

@Component
public class MyBean {

	private final MongoTemplate mongoTemplate;

	@Autowired
	public MyBean(MongoTemplate mongoTemplate) {
		this.mongoTemplate = mongoTemplate;
	}

	// ...

}

See the MongoOperations Javadoc for complete details.

Spring Data includes repository support for MongoDB. As with the JPA repositories discussed earlier, the basic principle is that queries are constructed for you automatically based on method names.

In fact, both Spring Data JPA and Spring Data MongoDB share the same common infrastructure; so you could take the JPA example from earlier and, assuming that City is now a Mongo data class rather than a JPA @Entity, it will work in the same way.

package com.example.myapp.domain;

import org.springframework.data.domain.*;
import org.springframework.data.repository.*;

public interface CityRepository extends Repository<City, Long> {

	Page<City> findAll(Pageable pageable);

	City findByNameAndCountryAllIgnoringCase(String name, String country);

}

	Tip
	For complete details of Spring Data MongoDB, including its rich object mapping technologies, refer to their reference documentation.

Spring Boot offers auto-configuration for Embedded Mongo. To use it in your Spring Boot application add a dependency on de.flapdoodle.embed:de.flapdoodle.embed.mongo.

The port that Mongo will listen on can be configured using the spring.data.mongodb.port property. To use a randomly allocated free port use a value of zero. The MongoClient created by MongoAutoConfiguration will be automatically configured to use the randomly allocated port.

	Note
	If you do not configure a custom port, the embedded support will use a random port by default (rather than 27017).

If you have SLF4J on the classpath, output produced by Mongo will be automatically routed to a logger named org.springframework.boot.autoconfigure.mongo.embedded.EmbeddedMongo.

You can declare your own IMongodConfig and IRuntimeConfig beans to take control of the Mongo instance’s configuration and logging routing.

You can inject an auto-configured Neo4jSession, Session or Neo4jOperations instance as you would any other Spring Bean. By default the instance will attempt to connect to a Neo4j server using localhost:7474:

@Component
public class MyBean {

	private final Neo4jTemplate neo4jTemplate;

	@Autowired
	public MyBean(Neo4jTemplate neo4jTemplate) {
		this.neo4jTemplate = neo4jTemplate;
	}

	// ...

}

You can take full control of the configuration by adding a org.neo4j.ogm.config.Configuration @Bean of your own. Also, adding a @Bean of type Neo4jOperations disables the auto-configuration.

You can configure the user and credentials to use via the spring.data.neo4j.* properties:

spring.data.neo4j.uri=http://my-server:7474
spring.data.neo4j.username=neo4j
spring.data.neo4j.password=secret

If you add org.neo4j:neo4j-ogm-embedded-driver to the dependencies of your application, Spring Boot will automatically configure an in-process embedded instance of Neo4j that will not persist any data when your application shuts down. You can explicitly disable that mode using spring.data.neo4j.embedded.enabled=false. You can also enable persistence for the embedded mode:

	spring.data.neo4j.uri=file://var/tmp/graph.db

	Note
	The Neo4j OGM embedded driver does not provide the Neo4j kernel. Users are expected to provide this dependency manually, see the documentation for more details.

By default, if you are running a web application, the session is bound to the thread for the entire processing of the request (i.e. the "Open Session in View" pattern). If you don’t want this behavior add the following to your application.properties:

	spring.data.neo4j.open-in-view=false

Spring Data includes repository support for Neo4j.

In fact, both Spring Data JPA and Spring Data Neo4j share the same common infrastructure; so you could take the JPA example from earlier and, assuming that City is now a Neo4j OGM @NodeEntity rather than a JPA @Entity, it will work in the same way.

	Tip
	You can customize entity scanning locations using the @EntityScan annotation.

To enable repository support (and optionally support for @Transactional), add the following two annotations to your Spring configuration:

@EnableNeo4jRepositories(basePackages = "com.example.myapp.repository")
@EnableTransactionManagement

package com.example.myapp.domain;

import org.springframework.data.domain.*;
import org.springframework.data.repository.*;

public interface CityRepository extends GraphRepository<City> {

	Page<City> findAll(Pageable pageable);

	City findByNameAndCountry(String name, String country);

}

	Tip
	For complete details of Spring Data Neo4j, including its rich object mapping technologies, refer to their reference documentation.

You can inject an auto-configured SolrClient instance as you would any other Spring bean. By default the instance will attempt to connect to a server using localhost:8983/solr:

@Component
public class MyBean {

	private SolrClient solr;

	@Autowired
	public MyBean(SolrClient solr) {
		this.solr = solr;
	}

	// ...

}

If you add a @Bean of your own of type SolrClient it will replace the default.

Spring Data includes repository support for Apache Solr. As with the JPA repositories discussed earlier, the basic principle is that queries are constructed for you automatically based on method names.

In fact, both Spring Data JPA and Spring Data Solr share the same common infrastructure; so you could take the JPA example from earlier and, assuming that City is now a @SolrDocument class rather than a JPA @Entity, it will work in the same way.

	Tip
	For complete details of Spring Data Solr, refer to their reference documentation.

If you have Jest on the classpath, you can inject an auto-configured JestClient targeting localhost:9200 by default. You can further tune how the client is configured:

spring.elasticsearch.jest.uris=http://search.example.com:9200
spring.elasticsearch.jest.read-timeout=10000
spring.elasticsearch.jest.username=user
spring.elasticsearch.jest.password=secret

You can also register an arbitrary number of beans implementing HttpClientConfigBuilderCustomizer for more advanced customizations. The example below tunes additional HTTP settings:

static class HttpSettingsCustomizer implements HttpClientConfigBuilderCustomizer {

	@Override
	public void customize(HttpClientConfig.Builder builder) {
		builder.maxTotalConnection(100).defaultMaxTotalConnectionPerRoute(5);
	}

}

To take full control over the registration, define a JestClient bean.

To connect to Elasticsearch you must provide the address of one or more cluster nodes. The address can be specified by setting the spring.data.elasticsearch.cluster-nodes property to a comma-separated ‘host:port’ list. With this configuration in place, an ElasticsearchTemplate or TransportClient can be injected like any other Spring bean:

spring.data.elasticsearch.cluster-nodes=localhost:9300

@Component
public class MyBean {

	private final ElasticsearchTemplate template;

	public MyBean(ElasticsearchTemplate template) {
		this.template = template;
	}

	// ...

}

If you add your own ElasticsearchTemplate or TransportClient @Bean it will replace the default.

Spring Data includes repository support for Elasticsearch. As with the JPA repositories discussed earlier, the basic principle is that queries are constructed for you automatically based on method names.

In fact, both Spring Data JPA and Spring Data Elasticsearch share the same common infrastructure; so you could take the JPA example from earlier and, assuming that City is now an Elasticsearch @Document class rather than a JPA @Entity, it will work in the same way.

	Tip
	For complete details of Spring Data Elasticsearch, refer to their reference documentation.

You can inject an auto-configured CassandraTemplate or a Cassandra Session instance as you would with any other Spring Bean. The spring.data.cassandra.* properties can be used to customize the connection. Generally you will provide keyspace-name and contact-points properties:

spring.data.cassandra.keyspace-name=mykeyspace
spring.data.cassandra.contact-points=cassandrahost1,cassandrahost2

@Component
public class MyBean {

	private CassandraTemplate template;

	@Autowired
	public MyBean(CassandraTemplate template) {
		this.template = template;
	}

	// ...

}

If you add a @Bean of your own of type CassandraTemplate it will replace the default.

Spring Data includes basic repository support for Cassandra. Currently this is more limited than the JPA repositories discussed earlier, and will need to annotate finder methods with @Query.

	Tip
	For complete details of Spring Data Cassandra, refer to their reference documentation.

You can very easily get a Bucket and Cluster by adding the Couchbase SDK and some configuration. The spring.couchbase.* properties can be used to customize the connection. Generally you will provide the bootstrap hosts, bucket name and password:

spring.couchbase.bootstrap-hosts=my-host-1,192.168.1.123
spring.couchbase.bucket.name=my-bucket
spring.couchbase.bucket.password=secret

	Tip
	You need to provide at least the bootstrap host(s), in which case the bucket name is default and the password is the empty String. Alternatively, you can define your own org.springframework.data.couchbase.config.CouchbaseConfigurer @Bean to take control over the whole configuration.

It is also possible to customize some of the CouchbaseEnvironment settings. For instance the following configuration changes the timeout to use to open a new Bucket and enables SSL support:

spring.couchbase.env.timeouts.connect=3000
spring.couchbase.env.ssl.key-store=/location/of/keystore.jks
spring.couchbase.env.ssl.key-store-password=secret

Check the spring.couchbase.env.* properties for more details.

Spring Data includes repository support for Couchbase. For complete details of Spring Data Couchbase, refer to their reference documentation.

You can inject an auto-configured CouchbaseTemplate instance as you would with any other Spring Bean as long as a default CouchbaseConfigurer is available (that happens when you enable the couchbase support as explained above).

@Component
public class MyBean {

	private final CouchbaseTemplate template;

	@Autowired
	public MyBean(CouchbaseTemplate template) {
		this.template = template;
	}

	// ...

}

There are a few beans that you can define in your own configuration to override those provided by the auto-configuration:

To avoid hard-coding those names in your own config, you can reuse BeanNames provided by Spring Data Couchbase. For instance, you can customize the converters to use as follows:

@Configuration
public class SomeConfiguration {

	@Bean(BeanNames.COUCHBASE_CUSTOM_CONVERSIONS)
	public CustomConversions myCustomConversions() {
		return new CustomConversions(...);
	}

	// ...

}

	Tip
	If you want to fully bypass the auto-configuration for Spring Data Couchbase, provide your own org.springframework.data.couchbase.config.AbstractCouchbaseDataConfiguration implementation.

To connect to an LDAP server make sure you declare a dependency on the spring-boot-starter-data-ldap ‘Starter’ or spring-ldap-core then declare the URLs of your server in your application.properties:

spring.ldap.urls=ldap://myserver:1235
spring.ldap.username=admin
spring.ldap.password=secret

If you need to customize connection settings you can use the spring.ldap.base and spring.ldap.base-environment properties.

Spring Data includes repository support for LDAP. For complete details of Spring Data LDAP, refer to their reference documentation.

You can also inject an auto-configured LdapTemplate instance as you would with any other Spring Bean.

@Component
public class MyBean {

	private final LdapTemplate template;

	@Autowired
	public MyBean(LdapTemplate template) {
		this.template = template;
	}

	// ...

}

For testing purposes Spring Boot supports auto-configuration of an in-memory LDAP server from UnboundID. To configure the server add a dependency to com.unboundid:unboundid-ldapsdk and declare a base-dn property:

spring.ldap.embedded.base-dn=dc=spring,dc=io

By default the server will start on a random port and they trigger the regular LDAP support (there is no need to specify a spring.ldap.urls property).

If there is a schema.ldif file on your classpath it will be used to initialize the server. You can also use the spring.ldap.embedded.ldif property if you want to load the initialization script from a different resource.

By default, a standard schema will be used to validate LDIF files, you can turn off validation altogether using the spring.ldap.embedded.validation.enabled property. If you have custom attributes, you can use spring.ldap.embedded.validation.schema to define your custom attribute types or object classes.

Spring Boot auto-configures an InfluxDB instance as long as the influxdb-java client is on the classpath and the url of the database is set:

spring.influx.url=http://172.0.0.1:8086

If the connection to InfluxDB requires a user and password, you can set the spring.influx.user and spring.influx.password properties accordingly.

InfluxDB relies on OkHttp. If you need to tune the http client InfluxDB uses behind the scenes, you can register an OkHttpClient.Builder bean.