About Keboola
Keboola is a data integration platform from Keboola that helps organizations manage their data workflows. It combines data extraction, change, and loading capabilities, along with a collaborative workspace, and integrates with various data sources, so users can efficiently handle large volumes of data. With Keboola, users can automate data processes, visualize data in real time, and collaborate across teams easily. The platform supports SQL-based changes and offers a marketplace for pre-built data connectors. Key capabilities: data ingestion data change collaboration tools real-time data visualization marketplace for connectors Best for: data analysts and engineers that need to integrate and analyze data from multiple sources.
Keboola is a cloud-based data operations platform designed to streamline data integration, transformation, and orchestration across modern analytics workflows. Developed by Keboola, the platform enables organizations to connect disparate data sources, automate pipelines, and deliver insights faster with minimal engineering overhead. Keboola supports a wide range of connectors, allowing users to ingest data from databases, APIs, cloud apps, and flat files. Its visual interface and modular architecture make it easy to build ETL/ELT pipelines, manage metadata, and monitor data lineage. The platform also includes built-in transformation layers using SQL, Python, and R, giving data teams flexibility in how they process and enrich data. One of its standout features is its Data Catalog, which helps users discover, document, and reuse datasets across teams. Keboola also emphasizes transparency and observability, with detailed logs, versioning, and audit trails for every data operation. It is used by startups and enterprises alike, Keboola is praised for its scalability, ease of use, and ability to unify data workflows.
Pros & Cons
- +Ability to automate data preparation, transformation, and analysis
- +Cloud-based platform for easy collaboration and accessibility
- +Wide range of data connectors for seamless integration with various sources
- +Customizable data pipelines for specific business needs and requirements
- +Scalable infrastructure to handle large volumes of data efficiently
- +Data quality monitoring and error detection features for improved accuracy
- +Cost-effective solution compared to building and maintaining in-house data pipelines
- −Custom component development needs technical expertise.
- −Limited customization options for more advanced users
- −Occasional bugs or glitches that can disrupt operations
- −Initial onboarding can be steep for non-technical users.
- −Reporting engine may lack flexibility for non-standard metrics.
Features
Key features
- ETL/ELT Pipeline Builder – Design and automate data workflows with drag-and-drop tools.
- Data Catalog – Discover, document, and reuse datasets across teams.
- SQL, Python, R Transformations – Apply custom logic using multiple programming languages.
- Connector Library – Access hundreds of pre-built integrations for databases, APIs, and cloud apps.
- Version Control – Track changes and roll back to previous pipeline configurations.
- Audit Logging – Monitor user actions and system events for compliance.
- Metadata Management – Document schema, lineage, and ownership of datasets.
- Job Scheduler – Automate pipeline execution with flexible scheduling options.
- Error Handling & Alerts – Receive notifications for failed jobs or anomalies.
- Role-Based Access Control – Manage permissions across users and workspaces.
Additional features
- Data Ingestion Engine – Pull data from structured and unstructured sources.
- Transformation Templates – Use reusable scripts and logic blocks for common tasks.
- Sandbox Environments – Test transformations and workflows safely before deployment.
- Data Export Options – Push data to warehouses, lakes, or BI platforms.
- Monitoring Dashboard – View pipeline health, job status, and resource usage.
- Custom Component Development – Build proprietary connectors and processors.
- Data Sharing Hub – Publish datasets internally or externally with access controls.
- Usage Analytics – Track platform activity and performance metrics.
- Multi-Tenant Support – Manage multiple clients or departments in one instance.
- Security & Encryption – Protect data with enterprise-grade security protocols.
- Training & Documentation – Access tutorials, guides, and community resources.
- Customer Support Portal – Contact Keboola for help and updates.
- Data Governance Tools – Enforce policies and standards across data assets.
Pricing
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About Keboola
Keboola is a data integration platform from Keboola that helps organizations manage their data workflows. It combines data extraction, change, and loading capabilities, along with a collaborative workspace, and integrates with various data sources, so users can efficiently handle large volumes of data. With Keboola, users can automate data processes, visualize data in real time, and collaborate across teams easily. The platform supports SQL-based changes and offers a marketplace for pre-built data connectors. Key capabilities: data ingestion data change collaboration tools real-time data visualization marketplace for connectors Best for: data analysts and engineers that need to integrate and analyze data from multiple sources.
Keboola Details
Keboola 's In-App Market Place
Does Keboola have an in-app market place?
Yes
How many Mini-Apps in the marketplace?
1
Mini Apps
N/A
Pricing Options
Accepted Payment Currencies
Usd ($), Eur (€), Gbp (£), Aud ($), Cad ($), Jpy (¥), Chf (Fr), Cny (¥), Ils (₪), Rub (₽), Thb (฿), Try (₺), Inr (₹), Sgd ($), Zar (R), Brl (R$), Sar (ر.س), Aed (د.إ), Sek (kr), Nok (kr), Dkk (kr), Hkd ($), Mxn ($), Pln (zł), Myr (RM), Idr (Rp), Krw (₩), Twd (NT$), Huf (Ft), Czk (Kč), Clp ($), Idr (Rp), Php (₱), Pen (S/), Afn (؋), Bam (КМ), Ghs (₵), Kwd (د.ك), Ltl (Lt), Mad (د.م.), Mmk (K), Ngn (₦), Qar (ر.ق), Srd ($), Uah (₴), Vef (Bs F), Xof (CFA), Zmw (K)
Pros & Cons
- Ability to automate data preparation, transformation, and analysis
- Cloud-based platform for easy collaboration and accessibility
- Wide range of data connectors for seamless integration with various sources
- Customizable data pipelines for specific business needs and requirements
- Scalable infrastructure to handle large volumes of data efficiently
- Data quality monitoring and error detection features for improved accuracy
- Cost-effective solution compared to building and maintaining in-house data pipelines
- Custom component development needs technical expertise.
- Limited customization options for more advanced users
- Occasional bugs or glitches that can disrupt operations
- Initial onboarding can be steep for non-technical users.
- Reporting engine may lack flexibility for non-standard metrics.
Keboola 's Support Options
Email Address
support@keboola.comKeboola 's Alternatives
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