SkyliftAI MigDB extends real-time CDC replication beyond traditional databases — streaming change data into Kafka, object storage, data lakes, NoSQL stores, and cloud data warehouses, all from a single, unified migration platform.
SkyliftAI is a global technology company with offices in Europe, North America, and Asia, specializing in database modernization and migration. With over 25 years of experience, we have successfully helped organizations transform and optimize their data infrastructure for the cloud.
Our deep expertise spans legacy-to-modern database migrations, cloud adoption strategies, and data performance optimization. Our proprietary in-house tools with Generative AI are designed to streamline and accelerate customers' journey to the cloud — ensuring minimal disruption and maximum efficiency.
✦ 24×7 global support across all time zones for all products.
Managing AWS infrastructure shouldn't feel like a second job. From unexpected downtime and security vulnerabilities to runaway costs, the challenges are real — and costly. MigDB is an AWS Qualified Software, bringing certified expertise to plan, secure, and optimize your cloud environment around the clock. We take ownership of your infrastructure so you can focus on growing your business.
Introducing Skylift AI's MigDB: Revolutionize Your Database Migrations. Experience the future of enterprise data management with MigDB, the AI-powered solution ensuring zero data loss and seamless transitions from legacy database systems into the big data and streaming ecosystem — Kafka, object storage, data lakes, NoSQL stores, and cloud data warehouses.
One capture engine, a broad and growing catalog of downstream targets — purpose-built to bring operational data into your big data and streaming ecosystem
A single MigDB change-capture pipeline can fan out to multiple downstream targets simultaneously — no need to stand up separate extraction jobs per destination.
MigDB reads directly from source transaction logs — remote deployment means nothing needs to be installed on your on-premise database servers.
Built-in and pluggable formatters (JSON, Avro, Parquet, ORC, delimited text) let each downstream target consume change data in the shape it expects.
Auto-configuration templates wire up the full pipeline — capture, staging, and target apply — with minimal manual setup per target technology.
AES 128/192/256-bit encryption at rest and in transit, IAM role and Secrets Manager support, and SSL/TLS for every cross-region transfer.
A single console to monitor and manage every big data pipeline, regardless of how many different target technologies are in play.
One platform, a broad and growing set of destinations
Event-driven targets
Flexible-schema targets
Lake & file-based targets
Analytics-ready targets
Flexible topologies designed for streaming and analytics workloads
Best for messaging and event-driven targets (Kafka, MSK, Kinesis, JMS). MigDB captures source changes and publishes formatted events directly to the target topic or stream, with delivery-order guarantees preserved from the source transaction log.
Best for warehouse and lake targets (Redshift, Snowflake, BigQuery, Iceberg). MigDB stages formatted change files in cloud object storage first, then applies them into the target using bulk-load operations — trading a small amount of latency for significantly higher throughput at scale.
A single capture pipeline feeds several targets at once — for example, streaming live events to Kafka for application consumption while simultaneously staging the same changes into S3 and Redshift for analytics, all from one source read.
MigDB Big Data Architecture
Not every project needs every connector — MigDB is licensed to match your footprint
For teams standardizing on one or two big data or streaming targets — for example, a single Kafka pipeline feeding a downstream analytics team. License just the target technologies you need, at a lower entry cost, with full access to that connector's replication functionality.
For enterprises running multiple big data technologies across evolving, multi-cloud environments — messaging, NoSQL, object storage, and warehousing all at once. One license covers the full connector catalog, so new targets can be added as your architecture grows without renegotiating scope.
Contact our team for a tailored recommendation and quote based on your target mix, data volumes, and growth plans.
The first and most critical step — analyze your source environment and provide a detailed report before extending replication into your big data ecosystem.
Using the assessment report, teams can confidently choose the right combination of MigDB Big Data connectors, avoid over/under provisioning, and design a streaming architecture that scales with the business.
Let's discuss how MigDB can stream your operational data into Kafka, data lakes, NoSQL stores, and cloud data warehouses — with zero source impact.