In this fifth and the final post in our guide, we will cover a sample database migration project plan and will discuss the key lessons learned based on our extensive experiences with 10GB to 100TB+ migrations. We highly recommend reading the previous posts in the series: Part 1 - Migration Readiness and Key Factors Influencing Timeline and Risk Part 2 - Downtime Strategy Options and Migration Tools Part 3 - Migration Planning and Post-Migration Validation Strategy Part 4 - Co

In the fourth part of the series, we explore factors that make migrations difficult.

In this third part of our multi-post guide we will discuss migration planning and post-migration validation strategy. It might even be the most important post in the series! If you haven't read the first two parts, read them here: Part 1 - Migration Readiness and Key Factors Influencing Timeline and Risk Part 2 - Downtime Strategy Options and Migration Tools "Plan for what is difficult while it is easy, do what is great while it is small", Sun Tzu 5. Migration Plan and Timeli

Explore strategies for minimizing downtime and how to choose the best migration tool or approach.

Learn about migration requirements and assessment, and the key factors influencing migration timeline and risk.

Vector pipeline (courtesy of Vercel ) Ever since vector stores and databases took the database market by storm in 2023-24, we ended up with a plethora of specialized vector databases such as Pinecone, Weaviate, Milvus, Qdrant. Many of OLTP databases quickly jumped on the train and added support for vector indexes - notably MongoDB and PostgreSQL - but the actual embeddings are still stored along with other operational data, competing for CPU, RAM and storage resources. Since

Announcing Azure DocumentDB support for seamless database replication and migration from MongoDB and other sources.

We're excited to announce that dsync  now supports Amazon S3 as both a source and destination. This opens up powerful new possibilities for data migration workflows. What This Means for You With S3 support, you can now export data directly from any supported connector - including DynamoDB, Azure Cosmos DB, MongoDB, and PostgreSQL - straight to S3, or import it back just as easily. The process is: Direct : No intermediate storage required Fast : Fully parallelized operations S

For users wanting to explore Cosmos DB or migrate their production workloads from DynamoDB or other databases, Dsync is a perfect solution that makes the process seamless.

We’re excited to announce the newest addition to our connector family: the “SQL batch” connector. Dsync with the SQL batch connector makes RDBMS migration to NoSQL significantly easier, while upholding Dsync’s standards of consistency and reliability at scale. By leveraging our Migration AI agent, it streamlines data transformation and the migration process. The SQL batch connector is now available in Private Preview . Contact us  to try it out. Dsync sets a new standard for

We’re thrilled to announce that Dsync  is now available in the Microsoft Azure Marketplace , making it easier than ever for Azure customers to deploy, manage, and scale their data migrations and replications. Dsync  helps enterprises eliminate the complexity and risk of database migrations, offering a secure, high-performance solution that seamlessly moves production workloads between NoSQL and SQL databases - including to Azure Cosmos DB . With built-in resiliency, resumabil

Technical foundations for large-scale online database migration from HBase to MongoDB

We recently visited Microsoft Reactor to talk about database migration paths, common pain points and best practices. Our CEO, Alex,...

This is a slightly modified version of the article on FerretDB's blog . FerretDB is an open-source alternative and a drop-in replacement...

In today's data-driven world, implementing advanced search functionality can give your business a significant competitive advantage....

In today's cloud-native world, choosing the right database infrastructure is critical for application performance, cost management, and...

We're excited to announce the public preview of DynamoDB and Cosmos DB NoSQL support in dsync , a powerful tool that revolutionizes...

Guide for choosing between online and offline database migration options.

This is a slightly modified version of the blog post that our intern, Grace, wrote recently. The original blog post can be found here ....

Introduction to MongoDB Atlas vs Cosmos DB In the realm of NoSQL databases, MongoDB and Azure Cosmos DB are two powerhouse solutions...