Blogs

Implementing Foreign Key Tracking in Memory
An overview of how Neosync handles foreign key tracking in memory during data synchronizations
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December 3rd, 2024

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Implementing Foreign Key Tracking in Memory

Data Masking vs Data Anonymization -  What's the Difference?

Data Masking vs Data Anonymization - What's the Difference?

Reviewing the difference between data anonymization and data masking

November 21st, 2024

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Announcing EU Deployments for Neosync

Announcing EU Deployments for Neosync

Neosync now supports EU deployments to help companies comply with GDPR and data residency requirements.

November 13th, 2024

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How to Build and Test Data Pipelines with Neosync and dbt

How to Build and Test Data Pipelines with Neosync and dbt

A technical guide on using Neosync and dbt together to test data pipelines with anonymized data

November 12th, 2024

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A Data Engineer's Guide to Data Anonymization Pipelines

A Data Engineer's Guide to Data Anonymization Pipelines

An overview of how Data Engineer's can use Data Anonymization in their Pipelines

November 7th, 2024

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Announcing support for Mappings-as-code with Import/Export

Announcing support for Mappings-as-code with Import/Export

An overview of how you to import and export your job mappings for git-basesd workflows

October 30th, 2024

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Using Neosync to Anonymize and Securely Move Data Across AWS Accounts

Using Neosync to Anonymize and Securely Move Data Across AWS Accounts

A walkthrough of how you can use Neosync to anonymize and move data across AWS accounts using the Neosync CLI and AWS S3

October 17th, 2024

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How Are Named Entity Recognition Models (NER) Used in Data Anonymization for LLMs?

How Are Named Entity Recognition Models (NER) Used in Data Anonymization for LLMs?

An overview of Named Entity Recognition (NER) models and how they're used in Data anonymization

October 14th, 2024

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Consistent Data Anonymization - How to Reliably Anonymize Data

Consistent Data Anonymization - How to Reliably Anonymize Data

Consistently anonymizing data in crucial in transactional databases. In this blog, we explore how you can use Neosync to generate consistently anonymized data.

October 2nd, 2024

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Auto-generating documentation using Go templates

Auto-generating documentation using Go templates

A walkthrough tutorial on how we used go templates to auto-generate documentation

August 1st, 2024

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Solving GDPR with synthetic  data within machine learning use cases

Solving GDPR with synthetic data within machine learning use cases

In this blog, we cover how can you use synthetic data and anonymization to solve GDPR compliance within machine learning use cases

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How we replaced SWR with autogenerated Tanstack Query Hooks

How we replaced SWR with autogenerated Tanstack Query Hooks

This article shows how we switched from SWR to autogenerated Tanstack query hooks with Buf for our data layer at Neosync

July 23rd, 2024

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Exploring How Neosync Leverages Temporal

Exploring How Neosync Leverages Temporal

This article provides a high-level overview of how Neosync utilizes Temporal internally and the journey we took to get there.

July 7th, 2024

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Building a SQL Editor for our Subsetting Feature

Building a SQL Editor for our Subsetting Feature

A walkthrough how we built the sql editor in our subsetting page using Next and Monaco.

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How to sync your PlanetScale DB with anonymized production data

How to sync your PlanetScale DB with anonymized production data

A walkthrough tutorial on how to sync a Planetscale DB feature branch with anonymized data from a PlanetScale DB main branch

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How to balance data security and a great local developer experience

How to balance data security and a great local developer experience

For teams working with sensitive data, you don't need to choose between data security and developer experience. You can have both.

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Solving the data anonymization problem in Postgres

Solving the data anonymization problem in Postgres

We're partnering with Neon to help companies of all sizes easily anonymize their sensitive data in Postgres for a better developer experience

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Generating Synthetic Data with LLMs

Generating Synthetic Data with LLMs

A guide to using AI to generate synthetic data for your database and application using any LLM that is available at an endpoint.

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LLM Data Privacy - Synthetic Data vs. Tokenization?

LLM Data Privacy - Synthetic Data vs. Tokenization?

What is the best way to protect sensitive data in LLMS - synthetic data and tokenization? We take an in-depth look at the two options.

April 23rd, 2024

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How we reduced our data generation times by 50%

How we reduced our data generation times by 50%

A walkthrough of how we reduced the time it takes to generate data in Neosync by 50%. Also see our updated performance benchmarks.

April 10th, 2024

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PGDUMP vs Neosync to Migrate Data across Postgres Databases

PGDUMP vs Neosync to Migrate Data across Postgres Databases

An in-depth comparison between pg_dump and Neosync for migrating data between Postgres databases, including pros and cons.

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Using Neosync and OpenAI to generate synthetic data

Using Neosync and OpenAI to generate synthetic data

A walkthrough tutorial on how to integrate Neosync with OpenAI to generate synthetic data at the row level including code samples!

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Introducing Subsetting with Referential Integrity

Introducing Subsetting with Referential Integrity

A technical overview on how we implemented referential integrity within our subsetting features and how you can use for a better developer experience.

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How to Anonymize Sensitive Data in RDS

How to Anonymize Sensitive Data in RDS

A walkthrough tutorial on how to anonymize sensitive data in RDS for a better developer experience while working with AWS RDS.

March 21st, 2024

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How to seed your AWS RDS DB with Synthetic Data

How to seed your AWS RDS DB with Synthetic Data

A walkthrough tutorial on how to seed an RDS with Synthetic Data for a better developer experience while working with AWS RDS.

March 20th, 2024

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A technical deep dive into how PGDUMP works

A technical deep dive into how PGDUMP works

Learn how PGDUMP works under the covers and how you can use it for data migrations, backups and more.

March 11th, 2024

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How to Anonymize Sensitive Data in Supabase

How to Anonymize Sensitive Data in Supabase

A walkthrough tutorial on how to anonymize sensitive data in Supabase for a better developer experience while working with Supabase.

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How to seed your Supabase DB with Synthetic Data

How to seed your Supabase DB with Synthetic Data

A walkthrough tutorial on how to seed a Supabase DB with Synthetic Data for a better developer experience while working with Supabase.

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Five Alternatives to PGAnonymizer

Five Alternatives to PGAnonymizer

We review five alternative solutions to PG Anonymizer in-depth and help you pick which is the right one for your next project.

February 26th, 2024

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Neosync + Terraform

Neosync + Terraform

Introducing the Neosync Terraform provider for developers and teams that are following a GitOps approach to managing their infrastructure.

February 22nd, 2024

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How to seed your Neon DB with Synthetic Data

How to seed your Neon DB with Synthetic Data

A walkthrough tutorial on how to seed a Neon DB with Synthetic Data for a better developer experience while working with Neon.

February 21st, 2024

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How to Anonymize Sensitive Data in Neon

How to Anonymize Sensitive Data in Neon

A walkthrough tutorial on how to anonymize sensitive data in Neon DB for a better developer experience while working with Neon.

February 21st, 2024

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A Comprehensive Guide to PGAnonymizer

A Comprehensive Guide to PGAnonymizer

Learn what Postgres Anonymizer is and how you can use it to anonymize data in Postgres for better data security and privacy.

February 20th, 2024

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The Official Guide to Github Metrics for Open Source Projects

The Official Guide to Github Metrics for Open Source Projects

If you're building an open source project, then you need to be looking at these Github metrics. From Stars to Community insights, these are a game changer.

February 15th, 2024

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What is the difference between Synthetic Data, Encryption and Tokenization?

What is the difference between Synthetic Data, Encryption and Tokenization?

We take a deep dive and explore the difference between synthetic data, encryption and tokenization and their use cases from a data security perspective.

February 6th, 2024

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Log Me Out

Log Me Out

Details the difficulties of logging a user out of an application, and why it's harder than one might think. This include a guide and code samples.

February 3rd, 2024

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The Future is Synthetic Data Engineering

The Future is Synthetic Data Engineering

Synthetic Data Engineering is the feature and in this blog we describe how it can massively improve developer experience and privacy.

January 15th, 2024

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Introducing Custom Code Transformers

Introducing Custom Code Transformers

Use Custom Code Transformers to create your own data transformations using javascript. Implement custom logic, make API calls and more!

January 9th, 2024

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What is Referential Integrity?

What is Referential Integrity?

Discover what referential integrity is and why it's important in relational databases, data anonymization and synthetic data.

January 6th, 2024

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Set Version Information in Go Applications with ldflags

Set Version Information in Go Applications with ldflags

Use ldflags to compile version information into a Go Binary. This is useful for tracking version information across Go Binary releases.

December 23rd, 2023

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Introducing Neosync

Introducing Neosync

Open source data anonymization and synthetic data orchestration for a better developer experience and data security/privacy/compliance

December 20th, 2023

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What is Test Data?

What is Test Data?

What is test data? How do developers use it to build and test their applications? What are some ways to create test data?

December 14th, 2023

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Top 4 Use-Cases of Synthetic Data

Top 4 Use-Cases of Synthetic Data

What is synthetic data? How can engineers use synthetic data to build better applications, train their models and improve their developer experience?

December 10th, 2023

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What is Platform Engineering?

What is Platform Engineering?

As software becomes more complex, developers require added support to keep up with growing demands. Here is how Platform Engineering solves this problem.

December 3rd, 2023

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3 types of Zero-Downtime Deployments in Kubernetes

3 types of Zero-Downtime Deployments in Kubernetes

A guide to the 3 types of zero-downtime deployments in Kubernetes - Rolling Deployments, Blue-green deployments, Canary deployments.

November 29th, 2023

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Nucleus Cloud Corp. 2024