Migrate from Turso to Lakebase Postgres
Summary: Migration guide for moving a Turso (libSQL/SQLite) database to Lakebase Postgres using pgloader. Dumps the Turso database to a local SQLite file with the Turso CLI, then loads it into Neon where pgloader converts SQLite type affinities to Postgres types. Use this guide when the source is Turso or SQLite; it also covers swapping Turso drivers for the Neon serverless driver, translating
?placeholders to$1parameters, adapting dialect differences like LIKE vs ILIKE, and verifying sequences after migration. Neon's Free plan supports up to 0.5 GB; larger Turso databases require a paid Neon plan.
Migrate from Turso to Lakebase Postgres
Section titled “Migrate from Turso to Lakebase Postgres”This guide describes how to migrate your Turso database to Lakebase Postgres using pgloader.
pgloader is an open-source data loading and migration tool that efficiently transfers data from various sources (like CSV, MySQL, SQLite, MS SQL, etc.) into Postgres, handling schema and data transformations on the fly. Since Turso databases are SQLite-compatible, you can dump them to a local SQLite file and then use pgloader to migrate that file to Lakebase Postgres.
Prerequisites
Section titled “Prerequisites”Before you begin, ensure you have the following:
- A Neon account and a project. If you don't have one, see Sign up.
- A database created in your Neon project. For instructions, see Create a database.
- The Turso CLI installed. You'll use it to export your database.
- The
sqlite3command-line tool, typically pre-installed on macOS and Linux. - Neon's Free plan supports 0.5 GB of data. If your data size is more than 0.5 GB, you'll need to upgrade to one of Neon's paid plans. See Neon plans for more information.
A review of the pgloader SQLite to Postgres Guide is also recommended. It provides a comprehensive overview of pgloader's capabilities and type mappings, which will be helpful for understanding the migration process.
Understanding SQLite and Postgres data types
Section titled “Understanding SQLite and Postgres data types”Before migrating from Turso to Postgres, it's helpful to understand a key difference in how they handle data types. Turso, built on SQLite, uses a flexible typing system called "type affinity". You can store any type of data in any column, regardless of its declared type. Postgres uses a strict, static typing system. Data inserted into a column must precisely match the column's declared data type.
When converting a database, SQLite's type affinities are mapped to appropriate Postgres types. Here is a summary of the common mappings:
| Data Type Category | SQLite | PostgreSQL | Key Differences & Notes |
|---|---|---|---|
| Integer | INTEGER |
SMALLINT (2 bytes)INTEGER (4 bytes)BIGINT (8 bytes) |
SQLite's INTEGER is a flexible-size signed integer, storing values in 1, 2, 3, 4, 6, or 8 bytes depending on the magnitude of the value. PostgreSQL offers fixed-size integers for more granular control over storage and performance. |
| Auto-incrementing Integer | INTEGER PRIMARY KEY |
SMALLSERIAL (2 bytes)SERIAL (4 bytes)BIGSERIAL (8 bytes) |
In SQLite, declaring a column as INTEGER PRIMARY KEY automatically makes it an alias for the rowid and thus auto-incrementing. PostgreSQL provides the SERIAL pseudo-types, which create a sequence object to generate unique identifiers. |
| Floating-Point | REAL |
REAL (4 bytes)DOUBLE PRECISION (8 bytes) |
SQLite's REAL is an 8-byte IEEE floating-point number. PostgreSQL offers both single-precision (REAL) and double-precision (DOUBLE PRECISION) floating-point numbers. |
| Arbitrary Precision Numeric | NUMERIC |
NUMERIC(precision, scale)DECIMAL(precision, scale) |
SQLite's NUMERIC affinity will attempt to store data as INTEGER or REAL, or as TEXT if it cannot be losslessly converted. PostgreSQL's NUMERIC and DECIMAL types are for exact decimal arithmetic, crucial for financial and scientific applications, allowing for user-defined precision and scale. |
| String | TEXTVARCHAR(n)CHAR(n) |
TEXTVARCHAR(n)CHAR(n) |
While both databases accept these type names, in SQLite, they all have a TEXT affinity. The length (n) is not enforced in SQLite. In PostgreSQL, VARCHAR(n) enforces a maximum length, and CHAR(n) is a fixed-length, blank-padded string. TEXT in PostgreSQL has no predefined length limit. |
| Binary Data | BLOB |
BYTEA |
Both are used for storing raw binary data. |
| Date & Time | TEXTREALINTEGER |
DATETIMETIMESTAMPTIMESTAMPTZ (with time zone)INTERVAL |
SQLite has no dedicated date/time storage class; they are typically stored as TEXT (ISO-8601 strings), REAL (Julian day numbers), or INTEGER (Unix timestamps). PostgreSQL provides a rich set of specific date and time types with built-in functions for complex date and time arithmetic and time zone handling. |
| Boolean | INTEGER (0 for false, 1 for true) |
BOOLEAN |
SQLite does not have a native boolean type and commonly uses INTEGER with values 0 and 1. PostgreSQL has a dedicated BOOLEAN type that stores true or false. |
| JSON | TEXT |
JSONJSONB |
In SQLite, JSON data is stored as TEXT. PostgreSQL offers two dedicated JSON types: JSON for storing the raw JSON text and JSONB for a decomposed binary format that is more efficient for indexing and querying. |
| Unique Identifier | - | UUID |
PostgreSQL has a dedicated UUID data type for storing Universally Unique Identifiers, which is not present in SQLite. |
| Array | - | data_type[] |
PostgreSQL supports arrays of any built-in or user-defined data type, a powerful feature for storing lists of values in a single column. SQLite does not have a native array type. |
Authenticate Turso CLI
Section titled “Authenticate Turso CLI”If you haven't authenticated the Turso CLI yet, run:
turso auth loginFollow the prompts to log in with your Turso account credentials. This will allow you to access your Turso databases and export them for migration.
Export your Turso database
Section titled “Export your Turso database”Dump your Turso database to a local sql file using the turso db shell command with the .dump option:
turso db shell <database-name> .dump > dump.sqlReplace <database-name> with the name of your Turso database. This command connects to your Turso database and runs the .dump command, which outputs the full schema and data as SQL statements.
Next, generate a local SQLite database file from the dump:
sqlite3 turso_export.db < dump.sqlYou now have a turso_export.db file containing your data, ready for migration.
Retrieve your Neon database connection string
Section titled “Retrieve your Neon database connection string”Log in to the Neon Console. Find the connection string for your database by clicking the Connect button in the Console nav. Make sure the Connection pooling toggle is disabled:
Your connection string should look similar to this:
postgresql://alex:AbC123dEf@ep-cool-darkness-123456.us-east-2.aws.neon.tech/dbname?sslmode=requireImportant: You will need to remove &channel_binding=require from the connection string, as pgloader does not support channel binding and throws an error when it is present.
Now, modify this connection string to pass your endpoint ID (ep-cool-darkness-123456 in this example) to Neon with your password using the endpoint keyword, as shown here:
postgresql://alex:endpoint=ep-cool-darkness-123456;AbC123dEf@ep-cool-darkness-123456.us-east-2.aws.neon.tech/dbname?sslmode=requireNote: Passing the endpoint ID with your password is a required workaround for some Postgres drivers, including the one used by pgloader. For more information, see Connect with an endpoint ID.
Keep your modified Neon connection string handy.
Install pgloader
Section titled “Install pgloader”Install the pgloader utility using your preferred method:
- For macOS with Homebrew:
brew install pgloader - For Debian/Ubuntu:
sudo apt-get install pgloader - For Docker: Pull the latest image with
docker pull dimitri/pgloader:latest
For other systems, see Installing pgloader.
Run a basic migration
Section titled “Run a basic migration”For a straightforward migration, run pgloader directly from the command line:
pgloader sqlite://turso_export.db "postgresql://alex:endpoint=ep-cool-darkness-123456;AbC123dEf@ep-cool-darkness-123456.us-east-2.aws.neon.tech/dbname?sslmode=require"Make sure to enclose the Postgres connection string in quotes to prevent shell interpretation issues.
The command output will look similar to this:
2025-06-27T08:26:19.941000Z LOG report summary reset
table name errors rows bytes total time
----------------------- --------- --------- --------- --------------
fetch 0 0 0.000s
fetch meta data 0 5 0.204s
Create Schemas 0 0 0.108s
Create SQL Types 0 0 0.222s
Create tables 0 4 1.307s
Set Table OIDs 0 2 0.121s
----------------------- --------- --------- --------- --------------
authors 0 3 0.1 kB 1.082s
books 0 5 0.2 kB 0.993s
----------------------- --------- --------- --------- --------------
COPY Threads Completion 0 4 1.080s
Index Build Completion 0 2 2.342s
Create Indexes 0 2 0.662s
Reset Sequences 0 0 1.297s
Primary Keys 0 2 0.650s
Create Foreign Keys 0 1 0.339s
Create Triggers 0 0 0.211s
Install Comments 0 0 0.000s
----------------------- --------- --------- --------- --------------
Total import time ✓ 8 0.3 kB 6.581spgloader will automatically create the necessary tables and indexes in your Lakebase Postgres database, and transfer all data from the turso_export.db file. The summary report at the end confirms that the migration completed successfully without errors.
Advanced migration with custom casting
Section titled “Advanced migration with custom casting”For better control over the destination schema, create a pgloader load file. This lets you cast columns to specific Postgres types.
For example, if you have an authors table with an id column that is an INTEGER PRIMARY KEY in Turso (SQLite), you can cast it to SERIAL in Postgres. Similarly, if you have a published_date column stored as TEXT, you can cast it to DATE
Create a file named turso.load with the following content, replacing the connection strings as needed:
LOAD DATABASE
FROM sqlite://turso_export.db
INTO postgresql://alex:endpoint=ep-cool-darkness-123456;AbC123dEf@ep-cool-darkness-123456.us-east-2.aws.neon.tech/dbname?sslmode=require
WITH
include drop,
create tables,
create indexes,
reset sequences,
downcase identifiers
CAST
-- Cast integer primary keys to SERIAL
column authors.id to serial,
column books.id to serial,
-- Cast text date columns to Postgres DATE
column books.published_date to date;Run the migration using the load file:
pgloader turso.loadThe migration will produce a cleaner Postgres schema with SERIAL primary keys and proper Postgres date types.
Post-migration verification
Section titled “Post-migration verification”After migrating, always verify your data.
Verify sequences
Section titled “Verify sequences”The reset sequences option in the load file ensures that auto-incrementing columns start from the correct value. Connect to your Neon database using psql or the Neon SQL Editor and check the next value for a table's sequence:
SELECT nextval(pg_get_serial_sequence('books', 'id'));This should return a value one higher than the max id in the books table. If it doesn't, you can reset it manually:
SELECT setval(
pg_get_serial_sequence('books', 'id'),
(SELECT MAX(id) FROM books) + 1
);Verify row counts
Section titled “Verify row counts”Compare row counts between your Turso source and Neon destination:
SELECT count(*) FROM books;
SELECT count(*) FROM authors;Update your application
Section titled “Update your application”After migrating your database schema and data to Neon, you must update your application code to connect to Neon and execute queries using a Postgres driver instead of the Turso SQLite client.
Connection changes
Section titled “Connection changes”First, replace your Turso database client (such as @tursodatabase/serverless or @libsql/client) with a Postgres-compatible driver. For serverless or edge environments, Neon's serverless driver is a great choice.
@tursodatabase/serverless
npm uninstall @tursodatabase/serverless
npm install @neondatabase/serverless # or npm install pg@libsql/client
npm uninstall @libsql/client
npm install @neondatabase/serverless # or npm install pgNext, update your environment variables with your Neon connection string retrieved from the Neon Console:
DATABASE_URL="postgresql://alex:AbC123dEf@ep-cool-darkness-123456.us-east-2.aws.neon.tech/dbname?sslmode=require"Then, update your database connection initialization.
Before (Turso):
@tursodatabase/serverless
import { connect } from "@tursodatabase/serverless";
const db = connect({
url: process.env.TURSO_DATABASE_URL,
authToken: process.env.TURSO_AUTH_TOKEN,
});@libsql/client
import { createClient } from "@libsql/client";
const db = createClient({...config});After (Neon):
Neon serverless driver
import { neon } from '@neondatabase/serverless';
const sql = neon(process.env.DATABASE_URL);node-postgres
import { Pool } from 'pg';
const pool = new Pool({
connectionString: process.env.DATABASE_URL,
ssl: true,
});Query translation
Section titled “Query translation”When converting your Turso queries to run against Postgres, you must adapt how statements are prepared and executed.
You need to transition from SQLite's parameter binding (often using ? placeholders) and driver-specific methods (.run(), .all(), .get()) to standard Postgres driver syntax. For example, with the Neon serverless driver, you can use tagged template literals for queries, while with node-postgres, you use parameterized queries with $1, $2, etc.
Before (Turso):
@tursodatabase/serverless
// Inserting data
const insertUser = db.prepare("INSERT INTO users (username) VALUES (?)");
await insertUser.run("alice");
// Querying data
const stmt = db.prepare("SELECT * FROM users");
const users = await stmt.all();@libsql/client
// Inserting data
await db.execute({
sql: "INSERT INTO users (username) VALUES (?)",
args: ["alice"],
});
// Querying data
const rs = await db.execute("SELECT * FROM users");
const users = rs.rows;After (Neon):
Neon serverless driver
// Inserting data
await sql`INSERT INTO users (username) VALUES (${'alice'})`;
// Querying data
const users = await sql`SELECT * FROM users`;node-postgres
// Inserting data
await pool.query('INSERT INTO users (username) VALUES ($1)', ['alice']);
// Querying data
const { rows: users } = await pool.query('SELECT * FROM users');SQL dialect differences
Section titled “SQL dialect differences”Turso (SQLite) and Postgres use different SQL dialects. Here are the key differences you'll need to address when converting your application queries.
Boolean handling
Section titled “Boolean handling”SQLite has no native boolean type -- it stores true/false as integers 1/0. Postgres has a dedicated BOOLEAN type with true/false values.
Before (Turso/SQLite):
SELECT * FROM users WHERE active = 1;
INSERT INTO users (username, active) VALUES ('alice', 1);After (Neon/Postgres):
SELECT * FROM users WHERE active = true;
INSERT INTO users (username, active) VALUES ('alice', true);Case-insensitive string matching
Section titled “Case-insensitive string matching”SQLite's LIKE operator is case-insensitive for ASCII characters by default. Postgres's LIKE is case-sensitive; use ILIKE for case-insensitive matching, or LOWER() for comparisons.
Before (Turso/SQLite):
SELECT * FROM users WHERE username LIKE '%alice%';After (Neon/Postgres):
SELECT * FROM users WHERE username ILIKE '%alice%';Alternatively, normalize both sides:
SELECT * FROM users WHERE LOWER(username) LIKE LOWER('%alice%');Date and time functions
Section titled “Date and time functions”SQLite and Postgres use different built-in functions for date and time operations.
Before (Turso/SQLite):
-- Current timestamp
INSERT INTO logs (message, created_at) VALUES ('startup', datetime('now'));
-- Formatting a timestamp
SELECT strftime('%Y-%m-%d', created_at) FROM logs;After (Neon/Postgres):
-- Current timestamp
INSERT INTO logs (message, created_at) VALUES ('startup', NOW());
-- Formatting a timestamp
SELECT to_char(created_at, 'YYYY-MM-DD') FROM logs;| Operation | SQLite | Postgres |
|---|---|---|
| Current timestamp | datetime('now') |
NOW() or CURRENT_TIMESTAMP |
| Current date | date('now') |
CURRENT_DATE |
| Format timestamp | strftime(format, ts) |
to_char(ts, format) |
| Date arithmetic (add 7 days) | datetime(ts, '+7 days') |
ts + INTERVAL '7 days' |
| Extract part of a date (year) | strftime('%Y', ts) |
EXTRACT(YEAR FROM ts) |
Troubleshooting
Section titled “Troubleshooting”SSL verify error with Docker
Section titled “SSL verify error with Docker”If you run pgloader from a Docker container and encounter an SSL verify error: 20 X509_V_ERR_UNABLE_TO_GET_ISSUER_CERT_LOCALLY, you may need to disable SSL certificate verification.
Modify your load file to set sslmode=allow in the Postgres connection string.
LOAD DATABASE
FROM sqlite:///data/turso_export.db
INTO postgresql://.../dbname?sslmode=allow;
...Then, run the Docker command with the --no-ssl-cert-verification flag. Mount your database and load files into the container's /data directory.
docker run --rm -v /path/to/your/files:/data \
dimitri/pgloader:latest \
pgloader --no-ssl-cert-verification /data/turso.loadReferences
Section titled “References”Related docs (Migrate from)
Section titled “Related docs (Migrate from)”- RDS
- AlloyDB
- Azure
- Cloud SQL
- Digital Ocean
- Firebase
- Heroku
- MSSQL
- SQLite
- MySQL
- PlanetScale
- Railway
- Render
- Supabase
- Neon to Neon
- Schema-only
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