---
title: Managing Connections
description: This section describes how to connect the Java Analytics SDK to an
  Analytics cluster.
pubDate: 2026-10-03T04:27:21.374Z
meta:
  component:
    title: Java Analytics SDK
    version: "1.0"
antora:
  editUrl: https://github.com/couchbase/docs-analytics-sdk-java/edit/release/1.0/modules/howtos/pages/managing-connections.adoc
  xref: xref:1.0@java-analytics-sdk:howtos:managing-connections.adoc[]
---

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# Managing Connections

> This section describes how to connect the Java Analytics SDK to an Analytics cluster. It contains best practices as well as information on TLS/SSL and advanced connection options. 

Our [Getting Started pages](../hello-world/start-using-sdk.md) cover the basics of making a connection to an Enterprise Analytics cluster. This page is a wider look at the topic.

## [](#connecting-to-a-cluster)Connecting to a Cluster

The examples below use these imports:

```java
import com.couchbase.analytics.client.java.Cluster;
import com.couchbase.analytics.client.java.Credential;
import com.couchbase.analytics.client.java.QueryResult;
```

A connection to an Enterprise Analytics cluster is represented by a `Cluster` object. A `Cluster` provides access to databases, scopes, and collections, as well as various Analytics services and management interfaces. The simplest way to create a `Cluster` object is to call `Cluster.newInstance()` with a [connection string](#connection-strings), username, and password:

```java
public class Example {
  public static void main(String[] args) {
    var connectionString = "https://192.168.5.5:18095";
    var username = "...";
    var password = "...";

    try (Cluster cluster = Cluster.newInstance(
      connectionString,
      Credential.of(username, password)
    )) {
        // Interact with the cluster here
    }
  }
}
```

> [!WARNING]
> The above example uses a `try-with-resources` block to ensure the `Cluster` instance gets closed at the end. It's important to either use a `try-with-resources` block, or make sure to call `cluster.close()` when you're done with the cluster.

## [](#connection-strings)Connection Strings

Typically, an Enterprise Analytics cluster will be behind a load balancer, and you will be making a connection over TLS — so the port used will be `443`. This is the defaut for the SDK, so port `443` does not need to be specified: `<https://analytics.example.com>`.

You must specify the schema — either `https://` (for TLS) or `http://` (for insecure connections — perhaps on a development machine) in the connection string. The default port for insecure connections is port `80`.

If you're connecting to a cluster directly, without a load balancer, you can specify the port in the connection string: `<https://analytics.example.com:18095>`. For a standalone Analytics cluster, the port is usually `18095` (or `8095` for an insecure connection). Make sure to check with your administrator.

### [](#client-settings-parameters)Client Settings Parameters

Connection strings can also include client settings, which will override any that are also set in the code.

Connection string with two parameters

https://analytics.example.com?timeout.connect_timeout=30s&timeout.query_timeout=2m

The full list of recognized parameters is documented in the [client settings reference](../ref/client-settings.md).

Connection string with two parameters

http://localhost:8095?timeout.connect_timeout=30s&timeout.query_timeout=2m

The full list of recognized parameters is documented in the [client settings reference](../ref/client-settings.md).

## [](#local-development)Local Development

We strongly recommend that the client and server [are in the same LAN-like environment](../project-docs/compatibility.md#network-requirements) (e.g. AWS Region). As this may not always be possible during development, read the guidance on working with [constrained network environments](../ref/client-settings.md#commonly-used-options).