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Ananas Analytics Desktop
Build analytics in minutes·ananasanalytics.com
Ananas Analytics Desktop is a drag-and-drop desktop tool for building ETL pipelines and analytics without heavy technical skills. It lets users query, transform, and analyze data using standard SQL across relational databases, NoSQL, files, and APIs. It includes an offline execution engine so jobs can run locally without an internet connection, and it can also execute jobs on external platforms like Spark, Flink, or Google Dataflow. Built-in charting lets users visualize data directly within the app.
What it's for
Build ETL pipelines with drag and dropQuery and transform data using standard SQLConnect to relational databases, NoSQL, files, and APIsJoin and concatenate data from different sourcesRun analysis jobs offline on a local computerVisualize data with built-in chartsShare preconfigured projects with non-technical usersRun large-scale (terabyte) data analysis in production
Features 12
- Built-in chart visualization
- Connects to relational databases, NoSQL, files, and APIs
- Data processed on local computer or own infrastructure (no credentials stored centrally)
- Drag and drop interface for building ETL and analysis
- Easy chart configuration
- Execution on Spark, Flink, Google Dataflow, or local engine
- Join and concatenate data from different sources
- Offline/local analysis execution engine
- Scalable from small ad-hoc queries to terabyte-scale analysis
- Standard SQL querying across multiple data source types
- Supports structured and unstructured data
- Tools for engineers to test and run Ananas data projects in cloud or on premise
At a glance
TypeDesktop app
DeploymentInstalled (local)
PlatformsWindows, macOS, Linux
Fornon-technical users, engineers
CompanyAnanas Analytics
Integrations
PostgresGoogle SQLSparkCSV FileFlinkGoogle DataflowPlain Text LogMySQLGoogle Cloud StorageGoogle BigQueryJSON Log
Resources