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What is Starcounter?

With our advanced in-memory technology combined with the application server, you can create high-performance enterprise software effortlessly, eliminating the need for custom tools or complex syntax. Starcounter applications can enhance performance by an astounding 50 to 1000 times while ensuring user-friendliness and simplicity. Development is streamlined using standard C#, LINQ, and SQL, with ACID transactions seamlessly integrated into familiar C# code. The platform fully supports Visual Studio, boasting features like IntelliSense, a robust debugger, and a performance profiler, ensuring a smooth development experience without unnecessary hurdles. By leveraging standard C# syntax and the MVVM design pattern, developers can tap into our ACID in-memory technology along with a lightweight client UI to achieve exceptional performance levels. Starcounter's technology begins providing business benefits right from the start, utilizing tried-and-true solutions that manage millions of transactions for demanding clients. This unique combination of an ACID in-memory database and an application server into one cohesive platform delivers unmatched performance, ease of use, and cost-efficiency. In essence, Starcounter equips developers with the tools necessary to create powerful applications that not only fulfill but surpass the evolving needs of modern businesses, ensuring a competitive edge in the market.

What is Exasol?

A database designed with an in-memory, columnar structure and a Massively Parallel Processing (MPP) framework allows for the swift execution of queries on billions of records in just seconds. By distributing query loads across all nodes within a cluster, it provides linear scalability, which supports an increasing number of users while enabling advanced analytics capabilities. The combination of MPP architecture, in-memory processing, and columnar storage results in a system that is finely tuned for outstanding performance in data analytics. With various deployment models such as SaaS, cloud, on-premises, and hybrid, organizations can perform data analysis in a range of environments that suit their needs. The automatic query tuning feature not only lessens the required maintenance but also diminishes operational costs. Furthermore, the integration and performance efficiency of this database present enhanced capabilities at a cost significantly lower than traditional setups. Remarkably, innovative in-memory query processing has allowed a social networking firm to improve its performance, processing an astounding 10 billion data sets each year. This unified data repository, coupled with a high-speed processing engine, accelerates vital analytics, ultimately contributing to better patient outcomes and enhanced financial performance for the organization. Thus, organizations can harness this technology for more timely, data-driven decision-making, leading to greater success and a competitive edge in the market. Moreover, such advancements in technology are setting new benchmarks for efficiency and effectiveness in various industries.

Media

Media

Integrations Supported

.NET
Docker
JSON
Kestrel
SQL
Visual Studio

Integrations Supported

Apache Superset
Azure Marketplace
CONVAYR
Data Virtuality
DataClarity Unlimited Analytics
DataGrip
DbVisualizer
Emgage
Gravity Data
Microsoft Power Query
Preset
Pyramid Analytics
Sqitch
TIMi

API Availability

API Availability

Pricing Information

Free
Free Version

Pricing Information

Pricing not provided

Supported Platforms

SaaS
Windows

Supported Platforms

SaaS
Mac

Customer Service / Support

Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub
On-Site Training

Training Options

Documentation Hub

Company Facts

Organization Name

Starcounter

Company Location

Sweden

Company Website

starcounter.io

Company Facts

Organization Name

Exasol

Company Location

Germany

Company Website

www.exasol.com

Categories and Features

Application Server

Not specified

Caching

Not specified

In-Memory Databases

Not specified

Categories and Features

Big Data

Data Cleansing
Data Visualization
Data Warehousing
High Volume Processing
No-Code Sandbox
Templates

In-Memory Databases

Not specified

OLAP Databases

Not specified

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