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CloverDX
What it is
CloverDX is a self-hosted platform for building, automating and monitoring production data pipelines. Teams can develop visually and add code where they need more flexibility. Workflows support dependencies, error handling and manual checkpoints, and can start on schedules or in response to message queues, APIs or detected files. Wrangler provides self-service data preparation; Data Manager supports stewardship, master data management and manual review of data in progress. The platform includes connectors, allows custom connectors, and supports protocols including REST, SOAP and GraphQL. Salesforce transfers can use Bulk API connectors, while lower-volume queries can use Salesforce SOAP API. CloverDX can run on-premises, in cloud environments, in Docker or Kubernetes containers, or in hybrid setups. Its AI Assistant can plan, build, test and document pipelines; AI features can use a customer-provided provider key or local models. CloverDX says locally hosted models keep data within its Server, while external models may transmit data to a third party. A 45-day full-feature trial runs on the customer's infrastructure, includes support access and has no data-volume restrictions. Pricing is on request.
For and against
For
- Visual development can be combined with code.
- Workflows include error handling and manual checkpoints.
- Supports custom connectors and REST, SOAP and GraphQL.
- Can run on-premises, in cloud or hybrid environments.
- 45-day trial has no data-volume restrictions.
Against
- CloverDX is self-hosted rather than SaaS.
- Pricing is available on request.
- External AI models may receive data from use.
The verdict
CloverDX offers pipeline development and orchestration with several deployment choices, plus data preparation and stewardship tools. Teams should note its self-hosted model and consider the data-handling distinction between local and external AI models.
Who it suits
CloverDX is aimed at ETL developers, data engineers, data architects, IT leaders and business analysts. It may also suit organizations handling legacy integration, migration or regulatory requirements.
Plans and prices
Enhanced
Plus features · 24/7 support · extensive Professional Services · unlimited non-production servers
Read 15 Oct 2026 · cloverdx.com
Plus
Standard features · recurring instructor-led training · additional Professional Services · extra non-production licenses
Read 15 Oct 2026 · cloverdx.com
Standard
shadow non-production server · US/EU support · self-paced Academy · base Professional Services
Read 15 Oct 2026 · cloverdx.com
Standard, Plus, Enhanced
DX Units allocate to Designer seats or production server cores · separate Business Tools seats · Standard includes one complimentary Business Tools seat
Read 4 Oct 2026 · cloverdx.com
On the record
- AI
- The AI Assistant can plan, build, test, and document pipelines, and AI features can use a customer-provided provider key or local models.cloverdx.com · read 4 Oct 2026
- AI capabilities
- AI features support local or third-party models, and the Assistant can help design, build, test and document pipelines; users supply their own model access.cloverdx.com · read 15 Oct 2026
- AI privacy
- CloverDX says locally hosted models keep data within the CloverDX Server, while external model use may send data to a third party.cloverdx.com · read 4 Oct 2026
- Authentication security
- Supported controls include HTTPS, LDAP, SAML and single sign-on, with encrypted secrets and hashed user passwords described in the security material.cloverdx.com · read 15 Oct 2026
- AWS integration
- AWS deployment and integration options include S3, Redshift, Snowflake, Secrets Manager, Aurora, API Gateway, EC2, Fargate and EKS.cloverdx.com · read 15 Oct 2026
- Business Tools
- Wrangler, Data Manager, Data Catalog and Data Apps provide self-service preparation, master-data work, review and simplified interfaces.cloverdx.com · read 15 Oct 2026
- Company profile
- LinkedIn lists CloverDX as a privately held software company founded in 2002 with headquarters in Prague and 51–200 employees.linkedin.com · read 15 Oct 2026
- Connectivity
- CloverDX supports built-in and custom connectors for varied systems, formats and legacy data sources.cloverdx.com · read 15 Oct 2026
- Deployment
- The platform is self-hosted and can run on customer infrastructure, private cloud or hybrid environments; CloverDX does not offer a SaaS plan.cloverdx.com · read 15 Oct 2026
- Designer requirements
- Current Designer guidance calls for 4 GB RAM, dual-core CPU, 2 GB installation space plus data space, and supports 64-bit Windows, Apple Silicon macOS and 64-bit Linux with JDK 21.doc.cloverdx.com · read 15 Oct 2026
- Developer API
- Public Java APIs marked with CloverPublicAPI support custom transformations, metadata, dictionaries, lookups and graph parameters.doc.cloverdx.com · read 15 Oct 2026
- Documentation and support
- The documentation hub includes versioned manuals, release notes, Academy, knowledge base, security announcements, forum and customer support portal.doc.cloverdx.com · read 15 Oct 2026
- Integrations
- The platform is source- and format-agnostic, includes connectors, and lets users build custom connectors; listed protocols include REST, SOAP, and GraphQL.cloverdx.com · read 4 Oct 2026
- Intended users
- CloverDX identifies ETL developers, data engineers, data architects, IT leaders, business analysts, and organizations handling legacy integration, migration, or regulatory requirements as intended users.cloverdx.com · read 4 Oct 2026
- Legal ownership
- CloverDX Labs s.r.o. develops the product and CloverDX a.s. owns it; related legal entities are listed in the Czech Republic, United States and United Kingdom.cloverdx.com · read 15 Oct 2026
- Licence
- CloverDX is proprietary commercial software under a commercial EULA; only selected third-party components are open source.cloverdx.com · read 15 Oct 2026
- Limit: Capterra connectors
- Capterra reviews mention missing TCP-socket support, limited Word/PDF input and server-only access to some capabilities.capterra.com · read 15 Oct 2026
- Limit: G2 learning and metadata
- Reviewers report a steep learning curve, uneven documentation, no real-time data support in some workflows and manual rebuilding when metadata changes.g2.com · read 15 Oct 2026
