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RavenDB

RavenDB

Overview

What is RavenDB?

RavenDB is a NoSQL Document Database that is fully transactional (ACID) across the database and throughout clusters. It is presented as an easy to use all-in-one database that minimizes the need for third party addons, tools, or support to boost…

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Pricing

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What is RavenDB?

RavenDB is a NoSQL Document Database that is fully transactional (ACID) across the database and throughout clusters. It is presented as an easy to use all-in-one database that…

Entry-level set up fee?

  • No setup fee
For the latest information on pricing, visithttps://ravendb.net/buy

Offerings

  • Free Trial
  • Free/Freemium Version
  • Premium Consulting/Integration Services

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Product Demos

The Power of Time Series in RavenDB

YouTube

RavenDB: The Right Data Storage Solution for Today’s Information

YouTube
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Features

NoSQL Databases

NoSQL databases are designed to be used across large distrusted systems. They are notably much more scalable and much faster and handling very large data loads than traditional relational databases.

9.1
Avg 8.8
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Product Details

What is RavenDB?


RavenDB is a NoSQL Document Database that is fully transactional (ACID) across the database and throughout clusters. It is presented as an easy to use all-in-one database that minimizes the need for third party addons, tools, or support to boost developer productivity and get projects into production fast.

Users can setup and secure a data cluster deploy in the cloud, on-premise or in a hybrid environment. RavenDB offers a Database as a Service solution, allowing users to pass on all database operations and focus exclusively on the application. RavenDB has a built-in storage engine that operates at speeds up to 1 million reads per second and 150,000 writes per second on a single node using simple commodity hardware to increase application performance. The vendor states RavenDB has been downloaded over 2 million times serving thousands of customers from Startups to Fortune 100 Large Enterprises.

RavenDB Features include:

  • Query language based on SQL, with Intelligent Coding Assistance in-studio.
  • Works with existing relational databases – ETL feature and migration to Document model available.
  • Multiplatform – C#, Node.js, Java, Python, Ruby, Go
  • Multisystem – Windows, Linux, Mac OS, Docker, Raspberry Pi
  • Works on older machines and smaller devices
  • Built in Full-Text Search, MapReduce, and Storage Engine
  • Schema Free
  • Document Data Compression, TCP Compression
  • Machine Learning Integration
  • DBaaS Solution is HIPPA compliant
  • Concurrent Data Subscriptions
  • Incremental Time Series
  • Elasticsearch ETL
  • Power BI Support
  • Plugins for Grafana for data visualization
  • OLAP ETL – Push your data to data lakes to get business intelligence.
  • Cluster Dashboard – See the real-time status of all the indicators in each node simultaneously.
  • Read-only Certificates – Limit users to seeing data without being able to make changes to it.

RavenDB Features

NoSQL Databases Features

  • Supported: Performance
  • Supported: Availability
  • Supported: Concurrency
  • Supported: Security
  • Supported: Scalability
  • Supported: Data model flexibility
  • Supported: Deployment model flexibility

RavenDB Video

RavenDB: The Right Data Storage Solution for Today’s Information

RavenDB Technical Details

Deployment TypesOn-premise, Software as a Service (SaaS), Cloud, or Web-Based
Operating SystemsWindows, Linux, Mac
Mobile ApplicationNo

Frequently Asked Questions

MongoDB, Couchbase Server, and Azure Cosmos DB are common alternatives for RavenDB.

Reviewers rate Data model flexibility highest, with a score of 9.9.

The most common users of RavenDB are from Small Businesses (1-50 employees).
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Comparisons

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Reviews and Ratings

(26)

Community Insights

TrustRadius Insights are summaries of user sentiment data from TrustRadius reviews and, when necessary, 3rd-party data sources. Have feedback on this content? Let us know!

RavenDB has gained popularity as an excellent database for security management systems, resulting in increased programmer productivity, satisfaction, and customer happiness. Users have found it easy to configure from C# code, eliminating the impedance mismatch associated with other DBMS. Integration with automated tests using the RavenDB.TestDriver package has made testing on CI pipelines a breeze. The web frontend, RavenStudio, eliminates the need for additional tools like SQL Server Management Studio for quick access to databases. With its free edition offering fewer constraints than competitors and affordable prices for paid licenses, RavenDB proves to be a cost-effective choice. It simplifies the design, implementation, and testing of data access layers, allowing for faster software delivery. In the West African cashew industry, RavenDB is exclusively used for applications such as business plan development, quality analysis of cashew containers, and quality control data collection. Its ACID support and advanced features like a search engine make it a preferred choice over other databases like MongoDB. Additionally, RavenDB serves as a central database and caching server, eliminating the need for custom services by providing built-in features to solve various problems. With its distributed model enabling easy scaling by adding new cluster nodes, RavenDB is flexible for both small apps and large-scale systems. It offers high performance, powerful data storage, ease of use, flexibility, scalability, and resilience—addressing crucial issues for commercial graphics products. Companies managing huge databases find RavenDB efficient with fast response times, efficient mass operations, secure backups, and real-time operations. Its minimal configuration and suitability for serverless applications make it a great choice for those requiring speed, reliability, and flexibility. The time series feature of RavenDB has solved performance struggles when storing millions of records while allowing shared databases and shared history. For an online sports management SaaS platform that handles large amounts of data, RavenDB offers flexibility in scalability and high performance as the sole database solution. Customers like CapGemini have experienced no problems with RavenDB and are using it successfully. Developers working with various programming languages such as C#, Java, and Python express their interest in meeting and discussing RavenDB. Users who previously used SQL Server for data storage have found RavenDB to be a much better alternative with its clean UI and simple yet powerful functionality. Its simple design and meaningful documentation make it easy to get started, while its powerful query language simplifies complex queries. Employees have given positive reviews on using RavenDB as an efficient caching solution and storage hub for company data. In a project with unclear requirements, RavenDB was chosen as the NoSQL solution due to its ACID data integrity and performance optimization through auto-indexing. The product has been suggested for general usage at firms after thorough evaluation and consultation, surpassing other vendor solutions in terms of performance, support, and insights. Users across industries have found RavenDB to be a well-rounded and performant product that is suitable for numerous use cases. From managing huge databases with fast response times, efficient mass operations, secure backups, and real-time operations to serving as a central database and caching server, RavenDB addresses important issues for commercial graphics products, offering high performance, powerful data storage, ease of use, flexibility, scalability, and resilience. Whether it's for security management systems, business plan development in the West African cashew industry, online sports management SaaS platforms, or housing downstream trading data, RavenDB has proven to be an excellent choice. Its user-friendly interface and extensive documentation make it easy for users to get started while its advanced features like ACID support and a search engine offer powerful capabilities to meet diverse needs. With positive reviews from customers like CapGemini and colleagues looking forward to discussions about RavenDB's capabilities, it is clear that this database solution has garnered significant interest and satisfaction among its users.

Excellent Performance: Many users have consistently praised RavenDB for its excellent and optimized performance. They have been impressed with the high level of performance that RavenDB delivers, especially when considering its rare system requirements. Users find that RavenDB consistently meets their expectations for efficient and reliable database operations.

User-Friendly Interface: Reviewers have found RavenDB to have a highly user-friendly interface. The intuitive design makes it easy for users to navigate through the platform and perform various tasks. The visually appealing UI adds to the overall positive experience of using RavenDB, making it a popular choice among users who value simplicity and ease-of-use.

Efficient Configuration: Several users appreciate that configuring RavenDB is a seamless process thanks to its support for C# code integration. This feature allows developers to easily integrate automated tests into their workflow, streamlining the development process. In addition, reviewers specifically highlight how well RavenDB integrates with .NET Core and C#, further enhancing its efficiency as a NoSQL database solution.

Challenging Method Development: Some users have found it challenging to develop methods if they are unfamiliar with the accurate simulation approach. This can lead to a steep learning curve and may require additional training or support resources for new users.

Licensing Limitations: A limitation for some users is that the software does not allow replication or authorized access without acquiring a license. This can be seen as restrictive for those who want to explore or experiment with the software before committing to a full license.

Lack of Enterprise Tracking Records: Concerns are raised by some users about RavenDB due to the lack of evidence of tracking records in enterprise systems. The absence of robust tracking capabilities may hinder certain use cases where comprehensive data auditing and traceability are crucial.

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