Built for Non-technical User
Built for Non-technical User
Designed for non-technical users at the first place. It keeps the technical barriers very low by providing a drag and drop interface to build both ETL and analysis.
Powered by SQL
Powered by SQL
Make it possible to query, transform and analyze with standard SQL for not only tranditional relational database but also other data sources, for example, file.
Offline Mode
Offline Mode
Built-in analysis execution engine makes it possible to run your analysis job on your own computer without internet connection.
Collaborate with Engineers
Collaborate with Engineers
Comes with technical tools for engineers to test, and run Ananas data projects in cloud or on premise. Share preconfigured project with non-technical users.
Scalable
Scalable
Ananas Desktop has been used on production for both small ad-hoc queries and terabyte big data analysis
Connect data from anywhere in any format
Connect data from anywhere in any format
- Connect to relational database, NoSQL, File, API, and more ...
- Support both structured and unstructured data
- Join and concatenate data from different sources
Avoid the hassle of complex SQL or Python
Avoid the hassle of complex SQL or Python
- Minimal knowledge required for Simple SQL
- User friendly desktop interface
Visualize with few clicks
Visualize with few clicks
- Explore data with built-in charts
- Easy to use chart configuration
Execute your job with your existing data platform
Execute your job with your existing data platform
- Spark
- Flink
- Google Dataflow
- Local Execution
- More coming soon
Your data is safe and secure
Your data is safe and secure
- You own your data
- Data is processed on your computer or your infrastructure
- No credential is stored
Featured Data Sources
MySQL
MySQL
Postgres
Postgres
CSV File
CSV File
JSON Log
JSON Log
Google Cloud Storage
Google Cloud Storage
Google BigQuery
Google BigQuery
Google SQL
Google SQL
