About
Welcome to H2, the Java SQL database. In embedded mode, an application opens a database from within the same JVM using JDBC. This is the fastest and easiest connection mode. The disadvantage is that a database may only be open in one virtual machine (and class loader) at any time. As in all modes, both persistent and in-memory databases are supported. There is no limit on the number of database open concurrently, or on the number of open connections. The mixed mode is a combination of the embedded and the server mode. The first application that connects to a database does that in embedded mode, but also starts a server so that other applications (running in different processes or virtual machines) can concurrently access the same data. The local connections are as fast as if the database is used in just the embedded mode, while the remote connections are a bit slower.
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About
Intelligence and security are built into Microsoft SQL Server 2019. You get extras without extra cost, along with best-in-class performance and flexibility for your on-premises needs. Take advantage of the efficiency and agility of the cloud by easily migrating to the cloud without changing code. Unlock insights and make predictions faster with Azure. Develop using the technology of your choice, including open source, backed by Microsoft's innovations. Easily integrate data into your apps and use a rich set of cognitive services to build human-like intelligence across any scale of data. AI is native to the data platform—you can unlock insights faster from all your data, on-premises and in the cloud. Combine your unique enterprise data and the world's data to build an intelligence-driven organization. Work with a flexible data platform that gives you a consistent experience across platforms and gets your innovations to market faster—you can build your apps and then deploy anywhere.
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About
A reactive notebook for Python — run reproducible experiments, execute as a script, deploy as an app, and version with git.
🚀 batteries-included: replaces jupyter, streamlit, jupytext, ipywidgets, papermill, and more
⚡️ reactive: run a cell, and marimo reactively runs all dependent cells or marks them as stale
🖐️ interactive: bind sliders, tables, plots, and more to Python — no callbacks required
🔬 reproducible: no hidden state, deterministic execution, built-in package management
🏃 executable: execute as a Python script, parametrized by CLI args
🛜 shareable: deploy as an interactive web app or slides, run in the browser via WASM
🛢️ designed for data: query dataframes and databases with SQL, filter and search dataframes
🐍 git-friendly: notebooks are stored as .py files
⌨️ a modern editor: GitHub Copilot, AI assistants, vim keybindings, variable explorer, and more
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About
tox aims to automate and standardize testing in Python. It is part of a larger vision of easing the packaging, testing and release process of Python software. tox is a generic virtualenv management and test command-line tool you can use for checking that your package installs correctly with different Python versions and interpreters, running your tests in each of the environments, configuring your test tool of choice, and acting as a frontend to continuous integration servers, greatly reducing boilerplate and merging CI and shell-based testing. First, install tox with pip install tox. Then put basic information about your project and the test environments you want your project to run in into a tox.ini file residing right next to your setup.py file. You can also try generating a tox.ini file automatically, by running tox-quickstart and then answering a few simple questions. Install and test your project against Python2.7 and Python3.6.
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Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
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Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
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Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
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Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
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Audience
Database management solution for businesses
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Audience
Any business and organization seeking a solution to manage their cloud operations
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Audience
ML/AI engineers, data scientists, researchers, educators
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Audience
Developers and any user in need of a tool to automate and standardize testing in Python
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Support
Phone Support
24/7 Live Support
Online
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Support
Phone Support
24/7 Live Support
Online
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Support
Phone Support
24/7 Live Support
Online
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Support
Phone Support
24/7 Live Support
Online
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API
Offers API
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API
Offers API
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API
Offers API
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API
Offers API
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Screenshots and Videos |
Screenshots and Videos |
Screenshots and VideosNo images available
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Screenshots and Videos |
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Pricing
No information available.
Free Version
Free Trial
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Pricing
Free
Free Version
Free Trial
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Pricing
$0
Free Version
Free Trial
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Pricing
Free
Free Version
Free Trial
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Reviews/
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Reviews/
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Reviews/
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Reviews/
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Training
Documentation
Webinars
Live Online
In Person
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Training
Documentation
Webinars
Live Online
In Person
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Training
Documentation
Webinars
Live Online
In Person
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Training
Documentation
Webinars
Live Online
In Person
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Company InformationH2
www.h2database.com/html/main.html
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Company InformationMicrosoft
Founded: 1975
United States
www.microsoft.com/en-us/sql-server/
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Company Informationmarimo
Founded: 2022
United States
marimo.io
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Company Informationtox
tox.wiki/en/latest/
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Alternatives |
Alternatives |
Alternatives |
Alternatives |
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Categories |
Categories |
Categories |
Categories |
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Business Intelligence Features
Ad Hoc Reports
Benchmarking
Budgeting & Forecasting
Dashboard
Data Analysis
Key Performance Indicators
Natural Language Generation (NLG)
Performance Metrics
Predictive Analytics
Profitability Analysis
Strategic Planning
Trend / Problem Indicators
Visual Analytics
Database Features
Backup and Recovery
Creation / Development
Data Migration
Data Replication
Data Search
Data Security
Database Conversion
Mobile Access
Monitoring
NOSQL
Performance Analysis
Queries
Relational Interface
Virtualization
Relational Database Features
ACID Compliance
Data Failure Recovery
Multi-Platform
Referential Integrity
SQL DDL Support
SQL DML Support
System Catalog
Unicode Support
SQL Server Features
CPU Monitoring
Credential Management
Database Servers
Deployment Testing
Docker Compatible Containers
Event Logs
History Tracking
Patch Management
Scheduling
Supports Database Clones
User Activity Monitoring
Virtual Machine Monitoring
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Integrations
ActiveBatch Workload Automation
AnalyticsCreator
Concentric
DROPS
Embeddable
Keebo
OpenAccess SDK
Peak
Peekdata
Predator PDM
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Integrations
ActiveBatch Workload Automation
AnalyticsCreator
Concentric
DROPS
Embeddable
Keebo
OpenAccess SDK
Peak
Peekdata
Predator PDM
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Integrations
ActiveBatch Workload Automation
AnalyticsCreator
Concentric
DROPS
Embeddable
Keebo
OpenAccess SDK
Peak
Peekdata
Predator PDM
|
Integrations
ActiveBatch Workload Automation
AnalyticsCreator
Concentric
DROPS
Embeddable
Keebo
OpenAccess SDK
Peak
Peekdata
Predator PDM
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