Enterprise quick start

QuestDB Enterprise offers the entire feature set of QuestDB open source, with premium additions.

This guide will walk you through a basic Enterprise setup.

Each production configuration will be unique, however these examples will help inform your own unique choices.


The following are required prior to following this guide:

Installation guide​

Changes take place in your conf/server.conf file, the QuestDB Web Console, your app code or third-party tool.

Check the code snippet's title to see where the command is to be invoked.

If you run into any trouble, please contact us by email or visit the Community Forum.

0. Secure the built in admin​

QuestDB Enterprise provides a built-in administrator account.

By default, it has the login admin and the password quest.

Before you go any further, please change the default password!

Consider changing the name, too.

To change these values, swap your own in place of myadmin and my_very_secure_pwd:

server.conf - Securing built-in admin account
# the built-in admin's user name and password

We will optionally disable this built-in administrator account later.

1. Setup TLS​

QuestDB supports TLS versions 1.2 and 1.3.

To configure TLS on all interfaces, set the following:

server.conf - Changing cert paths

To hot-reload the certificate and private key and update the files on disk, login to your QuestDB Web Console. This is accessible by default at localhost:9000. Login using the built-in administrator credential.

Then, execute:

Web Console - Reloading TLS
SELECT reload_tls();

TLS is now active.

For more details on TLS see the TLS operations documentation.

2. Setup a database administrator​

The built-in admin aids in the first mile, and as needed on a recovery basis.

A helpful practice is to have one created admin through which to setup other accounts.

Create a new database admin:

Web Console - Creating an admin; use your own, secure password!

For emphasis: Please choose a secure password!

After admin creation, we can now disable the built-in admin:

server.conf - Disabling service account

Can you keep it? If it's secured, it's up to you. Consider different roles. You may be setting up an Enterprise cluster as the infrastructure admin. In this case, the built-in admin is your tool to do infrastructure tasks. The admin we just created may be of a different persona, the one who sets up users, groups, dictates how data can enter and be queried.

However you break it down, remember that it can always be reactivated.

3. Create interactive user accounts​

Now that you have an admin account, create interactive users.

Interactive users are those who will ingest into and query your database, and manipulate its data. These are different than administrators, like you, who delegate permissions.

Create and govern users through role-based access control and the curation of your access control list.

Interactive users may utilize the Web Console and/or the Postgres querying clients. It is common practice to set them up as readonly. But how you setup these users or groups is up to you.

For ingestion, we'll cover that in the next section. Consider this first wave of users your "database consumers".

For permissions, the Web Console requires HTTP, and the PostgreSQL interface requires PGWIRE:

Web Console - Creating multiple users with differing permissions.
-- Read only user, can read all tables:

-- User with all permissions on a specific table:
GRANT ALL ON table1 TO user1;

-- User who can manage access to a specific table:

Permission grants can be specific and fine-tuned.

List the full list of applied permissions with all_permissions().

4. Ingest data, InfluxDB Line Protocol​

Perform data ingestion through a service account or an interactive user. Service accounts are recommended over users, as they apply a cleaner set of access permissions, and are less likely to be affected by day-to-day user management operations.

First, set up the service account. Then, use it to create a token which is associated with the service account. This token is then provided to your InfluxDB client to form a secure, access-controlled connection.

A service account is "an account for a service". This is in contrast to an account for a user. When service accounts are created, we assume that they belong to an organization and not an individual. Your sensors, apps or cars may use service accounts. Sam, the plucky analyst, may have an interactive user.

The recommended ingestion method is via the InfluxDB Line Protocol (ILP).

To setup a service account:

Web Console - Setup a service account
GRANT ilp, create table TO ingest;
GRANT add column, insert ON all tables TO ingest;
-- OR
GRANT add column, insert ON table1, table2 TO ingest;

This creates a service account called ingest, which:

  • Can create a table
  • Add table columns
  • Insert to all tables OR insert to specific tables

The account exists, and that means that a client of some kind can connect to QuestDB via that account. Next, create a token to create a secure link between the client and the account:

Web Console - Generate a token for ingest client

This creates a token comprised of three parts:

  • public_key_x
  • public_key_y
  • private_key

Now, this private key is then added to the client.

This provides authenticated access to QuestDB for the "ingest" user.

For example, if you are leveraging Java:

Java client example:

import io.questdb.client.Sender;
import java.time.temporal.ChronoUnit;

public class ILPMain {
public static void main(String[] args) {
try (Sender sender = Sender.builder(Sender.Transport.TCP)
.build()) {

sender.symbol("sym1", "symval1")
.doubleColumn("double1", 100.0)
.at(System.currentTimeMillis(), ChronoUnit.MILLIS);

Please note that the private key is not stored in the database.

There is no way to get your private key back at a later time!

Once generated, safely store it.

Connecting a client to ILP is a common path.

However, you may use something like Kafka.

5. Ingest data, Kafka Connect (optional)​

If you're not applying Kafka, skip to step 6.

The Kafka Connect connector can be thought of as a specialized ILP client.

Thus the steps are similar to ILP ingestion:

  1. Create a Kafka service account and assign permissions
  2. Configure the connector to use the service account
Web Console - Create a service account and grant required permissions
GRANT ilp, create table TO kafka;
GRANT add column, insert ON all tables TO kafka;
GRANT add column, insert ON table1, table2 to kafka;
Web Console - Generate a token for the service account

The token SQL returns a multi-part token, as before:


Remember, the private key cannot be retrieved.

Save the private key in a secure location!

Next, configure the username, token and TLS settings inside of Kafka:

Kafka Connect - Configuring the QuestDB Kafka connector
token=[the private key saved in the previous step]

# If QuestDB server does not use trusted certificates
# then you have to disable TLS validation
# This is recommended for testing purposes only,
# In production, use a QuestDB server certificate trusted
# by your Kafka Connect installation

# Rest of the Kafka config

Can't connect? Check within your server logs.

6. Query data, PostgreSQL query​

Now onto querying.

We will demonstrate programmatic querying via the PostgreSQL interface.

Again, in this case we recommend a unique user or a service account.

We will create a service account named "dashboard".

We'd assume that this is Grafana or a similar visual data representation application.

To setup the service account:

Web Console - Create a service account called
CREATE SERVICE ACCOUNT dashboard WITH password 'pwd';
GRANT pgwire TO dashboard;
GRANT select on all tables TO dashboard;

Applying Java & jdbc, we can setup a client to query.

We're providing a username and password instead of a token:

Java client example:

import java.sql.*;
import java.util.Properties;

public class App {
public static void main(String[] args) throws SQLException {
Properties properties = new Properties();
properties.setProperty("user", "dashboard");
properties.setProperty("password", "pwd");
properties.setProperty("sslmode", "require");

final Connection connection = DriverManager.getConnection(
"jdbc:postgresql://localhost:8812/qdb", properties);
try (PreparedStatement preparedStatement = connection.prepareStatement(
"SELECT x, timestamp_sequence('2023-07-20', 1000000) FROM long_sequence(5);")) {
try (ResultSet rs = preparedStatement.executeQuery()) {
while (rs.next()) {

This covers the very basics of user creation and service accounts.

We have an ingest service account and a dashboard service account.

For the full role-based access control docs, including group management, see the RBAC operations guide.

Next, we will enable Enterprise-specific features.

7. Setup replication​

Replication consists of:

  • a primaryΒ database instance
  • an object storage
  • any number of replica instances

The primary instance uploads its Write Ahead Log (WAL) to the object storage, and the replica instances apply the same data to their tables by downloading and processing the WAL.

Full instructions can be found within the replication page, however the key parts are:

  1. Setup the object storage: Supported options are Azure Blob Storage, Amazon S3 or Network File Storage (NFS).
  2. Set up a primary node: Alter the server.conf within the primary-to-be and create a snapshot of the database.
  3. Setting up a replica node: Alter the server.conf in the replica(s)-to-be and perform "recovery" from the snapshot of the primary database. The snapshot provides a starting point for the instance, which will soon catch up with the primary node.

8. Enable compression​

Compression requires the Zettabyte File System (ZFS).

We'll assume Ubuntu, and demonstrate the basics CLI commands which you'd apply in something like an AWS EC2 to enable ZFS:

Ubuntu - Install ZFS
sudo apt update
sudo apt install zfsutils-linux

To enable compression, create a ZPool with compression enabled:

Ubuntu - Enable compression
zpool create -m legacy -o feature@lz4_compress=enabled autoexpand=on -O compression=lz4 -t volume1 questdb-pool sdf

The exact commands depend on which version of ZFS you are running. Use the ZFS docs to customize your ZFS to meet your requirements.

If you are running QuestDB Enterprise in Kubernetes, QuestDB offers a Container Storage Interface (CSI) Driver to create ZFS volumes in your cluster.

Please contact us for more information to see if your version and distribution of Kubernetes is supported.

9. Double-check kernel limits​

QuestDB works together with your server operating system to achieve maximum performance. Prior to putting your server under heavy loads, consider checking your kernel-based limitations.

Specifically, increase the limits for how many files can be opened by your OS and its users, and the maximum amount of virtual memory allowed. This helps QuestDB operate most effectively.

Next steps​

This guide has prepared you for reliable, production-ready usage of QuestDB Enterprise.

If you're new to QuestDB, consider checking out:

Otherwise, enjoy!


General Setup and Configuration​

Q: How do I change the default administrator password?

A: To change the default administrator password, update your server.conf file with the following lines, replacing myadmin and my_very_secure_pwd with your chosen administrator username and a secure password:


Q: What should I do if I encounter errors during the TLS setup process?

A: If you encounter errors during the TLS setup, ensure that the certificate and private key paths are correctly specified in your server.conf file. Also, verify that your certificates are valid and not expired. For further troubleshooting, consult the TLS operations documentation.

Security and Access Control​

Q: Can I recover a lost private key for a service account?

A: No, once a private key for a service account is generated, it cannot be retrieved again. It is crucial to store it securely immediately upon creation. If lost, you will need to generate a new token for the service account.

Q: How do I securely manage service account tokens?

A: Securely managing service account tokens involves storing them in a safe location, such as a secure secrets management tool. Limit the distribution of these tokens and regularly rotate them to enhance security.

Ingestion and Querying​

Q: What should I do if data ingestion via Kafka Connect fails?

A: If data ingestion via Kafka Connect fails, check your service account permissions and ensure the private key used in Kafka's configuration matches the one generated for your service account. Also, verify your network settings and ensure there are no connectivity issues between Kafka and QuestDB.

Q: How can I troubleshoot issues with querying data using the PostgreSQL interface?

A: Ensure the service account or user has the correct permissions to query the tables of interest. Verify the connection string and authentication details used in your client application. For issues related to SSL, make sure the SSL mode is appropriately configured in your client connection settings.

Replication and Compression​

Q: What steps should I take if replication is not working as expected?

A: Verify that the object storage is correctly set up and accessible by the primary instance. Ensure the server.conf settings for replication are correctly configured on both the primary and replica nodes. Check the logs for any errors related to replication and ensure there's network connectivity between all involved parties.

Q: Compression is enabled, but I'm not observing reduced storage usage. What could be the issue?

A: Ensure that the ZFS filesystem is correctly configured with compression enabled. Note that the actual compression ratio achieved can vary significantly depending on the nature of your data. Some types of data may not compress well. Review the ZFS compression statistics to understand the compression level being achieved. If it seems out of expected range, please contact us.