Hibernating Rhinos Overview
Hibernating Rhinos is the developer of the RavenDB database system and a suite of profilers to monitor, inspect, analyze, and suggest improvements to database access patterns in users' applications. Its distributed replicated file system, RavenFS, manages distribution of very large files. RavenDB is a non-relational solution that is fully transactional across the entire database. Its latest release, RavenDB 4.2, capitalizes on NoSQL by ramping up performance by 10 times over the last release. It also features a high-availability data cluster along with a user interface, easy-to-install setup wizard, and security to protect users' private information.
Latest News
growth-positive
/PRNewswire/ -- RavenDB, a high-performance NoSQL document database trusted by developers and enterprises worldwide, today announced the launch of its new...
RavenDB, a high-performance NoSQL document database, has launched a new feature that integrates Generative AI (GenAI) capabilities directly into its core database engine. This innovation allows developers to generate, enrich, classify, and automate content and decisions within the database using any large language model (LLM). By embedding AI at the data layer, RavenDB eliminates the need for middleware or third-party services, enhancing real-time execution and reducing complexity. The feature supports any LLM, offering developers control over cost, performance, and compliance. This development marks a strategic evolution in application development, enabling seamless transitions from prototype to production.
Product Stage
growth-positive
RavenDB 5 Improves Distributed Time-Series, Document Compression, and Indexing
RavenDB releases version 5 of its NoSQL document database, introducing features such as distributed time-series support, enhanced indexing, and document compression. The new version addresses challenges related to compressing values inside RavenDB and provides efficient compression using the Zstd algorithm. It also adds support for handling time-series data-points with values ordered by time, improves indexing for time-series and distributed counters, and enhances the client API with refinements for various functionalities. RavenDB offers on-premise or cloud services options and provides open-source clients for different environments. Contributions to RavenDB are welcome.
Expand
Interview with Oren Eini of RavenDB on database management & security
| Sector | Business Software |
Funding
| Total funding | Undisclosed |
| Last funding | Undisclosed |
| Stage | Mature |
| Rounds | 0 |
| Investors | 0 |
Team Members
2
Employees: 51-200
Web & Social Links
| Website | hibernatingrhinos.com/ |
Locations
Ahad Ha'Am St 9, Hadera, Israel
Photos & Videos
2 item(s)
Hibernating Rhinos Business
Business models
B2B
Product stage
Released
Employees
51-200
Sector
Business SoftwareIT, R&D & Data SolutionsData ArchitectureTarget Customer
Enterprise & Professional ServicesSoftware DevelopmentCore Technology
Platforms & InterfacesSoftwareData StorageCloudTags (5)
software-developmentmanagement-solutionsbusiness-intelligencedevelopersmicroservicesGeographic Markets
GlobalHibernating Rhinos Financials
Undisclosed
Total funding
—
Capital raised
Undisclosed
Last funding
Mature
Funding stage
0
Total rounds
0
Investors
Hibernating Rhinos Lifecycle
Hibernating Rhinos News
3 articles
growth-positive
/PRNewswire/ -- RavenDB, a high-performance NoSQL document database trusted by developers and enterprises worldwide, today announced the launch of its new...
RavenDB, a high-performance NoSQL document database, has launched a new feature that integrates Generative AI (GenAI) capabilities directly into its core database engine. This innovation allows developers to generate, enrich, classify, and automate content and decisions within the database using any large language model (LLM). By embedding AI at the data layer, RavenDB eliminates the need for middleware or third-party services, enhancing real-time execution and reducing complexity. The feature supports any LLM, offering developers control over cost, performance, and compliance. This development marks a strategic evolution in application development, enabling seamless transitions from prototype to production.
Product Stage
growth-positive
RavenDB 5 Improves Distributed Time-Series, Document Compression, and Indexing
RavenDB releases version 5 of its NoSQL document database, introducing features such as distributed time-series support, enhanced indexing, and document compression. The new version addresses challenges related to compressing values inside RavenDB and provides efficient compression using the Zstd algorithm. It also adds support for handling time-series data-points with values ordered by time, improves indexing for time-series and distributed counters, and enhances the client API with refinements for various functionalities. RavenDB offers on-premise or cloud services options and provides open-source clients for different environments. Contributions to RavenDB are welcome.
Expand
Interview with Oren Eini of RavenDB on database management & security
Hibernating Rhinos Team
Employee Info
| Employees (range) | 51-200 |
| Exact count | 61 |
| Team members | 2 |
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Hibernating Rhinos Internal
Recent Updates
No update log entries.
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Admin Info
| Confidence | 96/100 |
| Missing | funding rounds |
| Registrar ID | 513553743 |
| Crunchbase | hibernating-rhinos |
| Phone | +97246227811 |
| Last updater | Paul Weisko |
| Updater email | pweisko@gmail.com |
| Last update | 2021-02-18T00:00:00.000Z |
| Created | 2015-07-20T00:00:00.000Z |
| Claimed | Yes |