Apache Gobblin
Big data integration platforms
Data replication software
Backup software
Data integration tools
Cloud data integration software
Data recovery software
- Features
- Ease of use
- Ease of management
- Quality of support
- Affordability
- Market presence
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What is Apache Gobblin
Apache Gobblin is an open-source data integration framework for building batch and streaming ingestion pipelines across heterogeneous sources and sinks. Teams use it to move, transform, and manage large-scale datasets into data lakes, warehouses, and distributed storage systems, typically in Hadoop- and cloud-adjacent environments. It provides a job framework with connectors, state management, and monitoring hooks, and it can run in multiple execution modes (for example, standalone or on cluster schedulers).
Flexible ingestion framework
Gobblin supports building ingestion jobs for a variety of sources and destinations through a connector-oriented architecture. It can handle both batch and near-real-time patterns depending on how jobs are configured and scheduled. This makes it suitable for organizations that need a programmable integration layer rather than a fixed set of prebuilt workflows.
Operational state and reliability
The framework includes job state management, watermarking/checkpointing patterns, and retry semantics that help with incremental loads and failure recovery. It also supports data quality and validation hooks as part of pipeline execution. These capabilities help teams operate large numbers of ingestion jobs with repeatable behavior across runs.
Scales with distributed runtimes
Gobblin is designed for large-scale data movement and can run on distributed environments (for example, Hadoop/YARN-based deployments) as well as in standalone modes. It supports parallelism and partitioning strategies that align with big data storage formats and distributed file systems. This fits use cases where throughput and large dataset handling are primary requirements.
Engineering-heavy to adopt
Gobblin is a framework rather than a turnkey integration application, so teams typically need engineers to build, deploy, and maintain pipelines. Compared with more UI-driven integration tools, it requires more code, configuration, and operational ownership. Time-to-value can be longer for organizations without an established data platform team.
Limited out-of-box SaaS coverage
While Gobblin has connectors, it does not generally provide the breadth of prebuilt, continuously maintained SaaS application integrations found in some cloud-focused data integration products. Integrating niche or rapidly changing APIs may require custom development and ongoing maintenance. This can increase total effort for business-app-centric integration programs.
Not a backup/recovery product
Although it can replicate or ingest data into storage targets, Gobblin is not purpose-built backup or disaster recovery software with features like policy-based retention, immutable backups, point-in-time restore workflows, or compliance reporting. Organizations needing formal backup and recovery controls typically pair it with dedicated backup, storage, or governance tooling. Using Gobblin alone for backup-style requirements can leave gaps in restore and audit capabilities.
Plan & Pricing
| Plan | Price | Key features & notes |
|---|---|---|
| Apache Gobblin (open-source) | $0 — distributed under the Apache License v2.0 | Fully open-source data-integration framework. Source distributions and binaries available for download on the official site; no commercial/paid tiers or plans listed on the vendor site. |
Seller details
Apache Software Foundation
Wakefield, Massachusetts, USA
1999
Non-profit
https://www.apache.org/
https://x.com/TheASF
https://www.linkedin.com/company/the-apache-software-foundation/
