What's new
What is Datalore On-Premises
Datalore On-Premises is a self-hosted version of Datalore, tailored for teams that want to have a collaborative data science platform set up on their own infrastructure.
Watch Datalore overview or get in touch with our team to learn more about the product.
The page chronologically lists the key features and updates of all implemented Datalore On-Premises releases.
Full description of the latest release is available on the Datalore On-Premises landing page.
2024
Version | Fixes/Improvements |
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2024.5 |
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2024.4.1 | A security fix that handles XSS vulnerabilities |
2024.4 |
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2024.3 |
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2024.2.3 | SQL cell output: fixed handling of DataFrames containing long strings |
2024.2.2 |
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2024.2.1 | Home page:
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2024.2 |
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2024.1 |
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2023
Version | Fixes/Improvements |
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2023.6 |
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2023.5.1 | A security fix that handles XSS vulnerabilities |
2023.5 |
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2023.4 |
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2023.3.1 | A security fix that resolves session authentication vulnerabilities and improves session cookie management |
2023.3 |
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2023.2 |
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2023.1 |
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2022.3
Version | Fixes/Improvements | ||
---|---|---|---|
Release updates | |||
2022.3.1 |
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Major release details | |||
2022.3 |
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2022.2
- Release updates
Minor version
Fixed/Improved
2022.2.3
New licensing: free license for groups of 1-4 users (not available now)
2022.2.2
Databases: URL field input limit extended in database connection interface
Collaboration: interactive reports made available to unauthorized users
2022.2.1
Login after adding Hub enabled
One-by-one execution of multiple SQL cells on the Run all action
5-minute limit for SQL query execution removed
Ability to stop database querying by explicitly stopping SQL cell calculation
Presto database support via SSL
Default database schemas displayed in detailed view
Ability to fix database credentials inside the notebook without reattaching
Scheduled runs fixed
Improved S3 datasource interface to support custom options
- Major release details
New features
New installation option: possible to install Datalore On-Premises using easy-to-set-up Docker-based configuration
Coding and execution:
Scheduled runs for notebooks
Parameterized SQL statements
Computation tab
Collaboration: collaborative editing of attached files
Databases:
Limiting database schemas for introspection
MS SQL Server support
Improvements
Meaningful names of files downloaded from interactive reports
Database passwords no longer exposed in Test Connection pod
Collaborators allowed to change machine type in shared notebooks
More cut-off timer options for background computation
2022.1
- Release updates
Minor version
Fixed/Improved
2022.1.4
Added instance and storage gift codes
Jedi disabled by default to speed up kernel completion
Improved kernel stability following non-critical code errors
Fixed opening of notebooks with erroneous syntax info
Fixed dropdown value update in interactive reports
Improved kernel stability when using interactive controls in Reactive mode
2022.1.3
Improved overall performance, especially when working with big DataFrames and using Statistics tab or Variable viewer
Fixed analysis server
2022.1.2
Restarting kernel when detecting out of memory status to ensure uninterrupted cell execution
Faster DataFrame rendering
Data output download allowed to unauthorized users
2022.1.1
Fixed Spring Core RCE vulnerability
- Major release details
New features
Statistics tab: used to provide in-depth information on DataFrames
Table viewer: editor component for reviewing and editing CSV and TSV files from Attached data
Visibility control: cell type for collapsing other cells in interactive reports
Сut-off timer for background computation: option for setting the machine to shut down after a specific period of inactivity
User activity logging: feature used to track cell execution by a specific user
Reactive mode in interactive reports: automatic recalculation following user interaction with the report
Improvements
Enhanced reports:
Full width mode
Automatically hidden empty code cells
Checkbox control (for interactive reports only)
Variable viewer: providing information on notebook object sizes
Notebook structure: ability to use duplicated worksheets
Improved editor experience:
Viewport extended when scrolling past the notebook last cell
Better indication of cells queued for processing
2021.3
- Release updates
Minor version
Fixed/Improved
2021.3.5
Hub updated to 2021.1.14194
Database connection sharing options:
Shared workspace
Editors can create and edit database connections, and attach them to the notebooks of the shared workspace.
Editors can create and execute SQL cells for any connected database.
Viewers can view database connection lists and respective database schemas.
Home workspace notebook
Editors can create and execute SQL cells for any connected database.
2021.3.4
Hiding worksheet inputs and outputs
Improved matrix rendering for the R kernel
Latest Lets-Plot library version
Visualize tab:
Bigger charts, improved chart settings layout
One-click chart export to a chart cell
R kernel support
2021.3.3
log4j-related security issue in Hub
2021.3.2
Rendering of Pandas series with custom indexing
Reactive mode for Kotlin
2021.3.1
log4j-related security issue
- Major release details
New features
Database connection: interface for connecting to databases from the Home page and the editor
Native SQL cells: cell type used to retrieve data from connected databases without passing user's credentials to the environment
Interactive reports: feature for publishing notebooks as pages that collaborators can dynamically change using interactivity elements
Chart cells: cell type used to build customizable visualizations based on DataFrames in your notebooks
Interactive controls: dropdown, slider, and text input elements to quickly customize output without manually changing the code
Cell visibility control: interface used to select what input and output to hide from viewers
More language support: R and Scala available as notebook languages
Reactive mode: top-down evaluation with automatic recalculation of cells below the modified one
Improvements
Environment: customization via initialization scripts in the init.sh file
Expanded Python support: Python 3.6 and later versions available with respective code insight features for each
Visualize tab: more plot types added (point, bar, area, correlation)
More bucket types: Google Cloud Storage buckets attachable to notebooks
Last cell execution info: last execution time shown when hovering over a cell
Cell collapsing: ability to collapse specific cell inputs and outputs for better coding experience