Etlworks Integrator
ETL tools
Data integration tools
Cloud data integration software
- Features
- Ease of use
- Ease of management
- Quality of support
- Affordability
- Market presence
Take the quiz to check if Etlworks Integrator and its alternatives fit your requirements.
$300 per month
Free Trial
Free version unavailable
Small
Medium
Large
-
What is Etlworks Integrator
Etlworks Integrator is an ETL and data integration platform used to extract, transform, and load data between SaaS applications, databases, files, and cloud data warehouses. It supports building scheduled and event-driven pipelines for analytics, reporting, and operational data synchronization. The product combines prebuilt connectors with a visual pipeline designer and scripting options for transformations. It is typically used by data engineers, analysts, and integration teams that need to manage multiple data flows across cloud and on-prem environments.
Broad connector and protocol support
The platform supports integrations across common databases, cloud storage, REST/SOAP APIs, and file-based sources such as CSV/JSON. This helps teams consolidate data from multiple business systems into a warehouse or lake without building every connector from scratch. It also supports different authentication patterns used by SaaS APIs, which is important when integrating marketing, finance, and operational tools.
Flexible transformation options
Etlworks provides a visual approach for mapping and transformations while also allowing custom logic via scripting where needed. This is useful when pipelines require data cleansing, enrichment, or schema normalization before loading into analytics destinations. The combination supports both straightforward ELT-style loads and more controlled ETL transformations depending on governance requirements.
Deployment and runtime flexibility
The product supports cloud and hybrid integration patterns, which can be relevant when some sources remain on-premises. It includes scheduling and orchestration features to run recurring loads and manage dependencies between steps. This can reduce the need to stitch together separate tools for connectivity, transformation, and job execution.
Smaller ecosystem and mindshare
Compared with widely adopted data integration suites, Etlworks has a smaller third-party ecosystem for templates, community examples, and partner-built accelerators. This can increase implementation time for less common sources or specialized use cases. Teams may rely more on internal expertise and vendor support for troubleshooting and best-practice pipeline design.
Connector depth varies by source
While the platform covers many common endpoints, the completeness of individual SaaS connectors (objects covered, incremental sync patterns, and API-limit handling) can vary by system. For high-volume marketing and advertising sources, teams may need to validate coverage for specific endpoints and attribution-related fields. Some scenarios may require custom API work or intermediate staging to achieve the desired fidelity.
Governance features may be limited
Organizations with strict enterprise requirements may find gaps in areas such as centralized lineage, advanced role-based access controls, and fine-grained auditability compared with larger enterprise data platforms. Meeting internal compliance standards may require additional controls outside the tool (for example, warehouse-level governance and external monitoring). This can add operational overhead for regulated environments.
Plan & Pricing
| Plan | Price | Key features & notes |
|---|---|---|
| Starter | $300 per month (annual billing $3,600; month-to-month $330/month) | Up to 3M records/month; schedule frequency: once an hour; 5 scheduled flows; shared instance; includes unlimited connections, flows, and users; 14-day free trial. |
| Business | $600 per month (annual billing $7,200; month-to-month $660/month) | Up to 30M records/month; schedule frequency: once an hour; 20 scheduled flows; shared instance; includes unlimited connections, flows, and users; 14-day free trial. |
| Enterprise (large — 8 GB RAM / 2 CPU) | $1,000 per month (annual billing $12,000; month-to-month $1,100/month) | Dedicated instance; up to ~1 billion records/month; real-time/CDC allowed; unlimited scheduled flows; unlimited tenants; SSO available (additional $5/user/month per environment). |
| Enterprise (xlarge — 16 GB RAM / 4 CPU) | $1,200 per month (annual billing $14,400; month-to-month $1,320/month) | Dedicated instance; up to ~2 billion records/month; real-time/CDC allowed; unlimited scheduled flows; unlimited tenants. |
| Enterprise (2xlarge — 32 GB RAM / 8 CPU) | $1,500 per month (annual billing $18,000; month-to-month $1,650/month) | Dedicated instance; up to ~4 billion records/month; real-time/CDC allowed; unlimited scheduled flows; unlimited tenants. |
| Enterprise (4xlarge — 64 GB RAM / 16 CPU) | $2,000 per month (annual billing $24,000; month-to-month $2,200/month) | Dedicated instance; up to ~10 billion records/month; real-time/CDC allowed; unlimited scheduled flows; unlimited tenants. |
| Enterprise (8xlarge — 128 GB RAM / 32 CPU) | $3,000 per month (annual billing $36,000; month-to-month $3,300/month) | Dedicated instance; up to ~30 billion records/month; real-time/CDC allowed; unlimited scheduled flows; unlimited tenants. |
Additional official pricing details / add-ons (from vendor site):
- On-premise (self-hosted) pricing is available and differs from cloud; Etlworks documents on-prem pricing and offers perpetual licenses (contact sales for quotes). (See vendor docs for on-prem numbers.)
- Integration Agent (add-on): One agent $1,200/year (or $100/month); Up to 10 agents $5,000/year (or $500/month); Up to 100 agents $12,000/year (or $1,000/month); >100 agents — custom.
- Single Sign-On (SSO): $5 per user per month, per environment (optional).
- Premium connectors: priced separately (vendor lists $2,000–$4,500/year per connector).
