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DBMS > Kinetica vs. RavenDB

System Properties Comparison Kinetica vs. RavenDB

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Editorial information provided by DB-Engines
NameKinetica  Xexclude from comparisonRavenDB  Xexclude from comparison
DescriptionGPU-accelerated database for real-time analysis of large and streaming datasetsOpen Source Operational and Transactional Enterprise NoSQL Document Database
Primary database modelRelational DBMSDocument store
Secondary database modelsGraph DBMS infoexperimental
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.77
Rank#192  Overall
#96  Relational DBMS
Score3.24
Rank#88  Overall
#14  Document stores
Websitewww.kinetica.comravendb.net
Technical documentationwww.kinetica.com/­docsravendb.net/­docs
DeveloperKineticaHibernating Rhinos
Initial release20122010
Current release6.05.1, November 2020
License infoCommercial or Open SourcecommercialOpen Source infoAGPL version 3, commercial license available
Cloud-based only infoOnly available as a cloud servicenono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
RavenDB Cloud: Deploy a fully managed RavenDB Cloud Database in minutes on AWS, Azure, and GCP. HIPPA compliant. Enjoy a globally distributed cluster with enterprise-grade security and reduce cloud storage costs by 50% with Native data compression.
Implementation languageC, C++C#
Server operating systemsLinuxLinux
macOS
Raspberry Pi
Windows
Data schemeyesschema-free
Typing infopredefined data types such as float or dateyesno
XML support infoSome form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.no
Secondary indexesyesyes
SQL infoSupport of SQLSQL-like DML and DDL statementsSQL-like query language (RQL)
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
.NET Client API
Java Client API
Python Client API
RESTful HTTP API
Supported programming languagesC++
Java
JavaScript (Node.js)
Python
.Net
C#
Go
Java
JavaScript (Node.js)
Python
Ruby
Server-side scripts infoStored proceduresuser defined functionsyes
Triggersyes infotriggers when inserted values for one or more columns fall within a specified rangeyes
Partitioning methods infoMethods for storing different data on different nodesShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationMulti-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoMapReduce functions can be defined in Linq
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationEventual Consistency
Foreign keys infoReferential integrityyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID, Cluster-wide transaction available
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infoGPU vRAM or System RAM
User concepts infoAccess controlAccess rights for users and roles on table levelAccess control on document level using the Authorization Bundle
More information provided by the system vendor
KineticaRavenDB
Specific characteristicsRavenDB is the pioneer NoSQL Document Database that is fully transactional (ACID)...
» more
Competitive advantagesRavenDB is easy to setup and secure. You can do it in a matter of minutes . Easy...
» more
Typical application scenariosIoT for Edge Deployments Fraud Detection Recommendation Engines Product Catalogs...
» more
Key customersToyota, Capgemini, Vodafone, Medicaid, Asos, Nomura, RMS Automotive, MSNBC, Pluralsight,...
» more
Market metrics2 million+ downloads 1000+ customers including Fortune 500 large enterprises
» more
Licensing and pricing modelsRavenDB is available on-premise and in the cloud. RavenDB Cloud is available on AWS...
» more

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KineticaRavenDB
Recent citations in the news

GPU Database Market to See Strong Growth Momentum | Kinetica, OmniSci, SQream, Neo4j, NVIDIA – NeighborWebSJ
18 April 2021, NeighborWebSJ

GPU Database Market Value Predicted To Reach US$ XX Billion By 2025 | Kinetica, OmniSci, SQream, Neo4j, NVIDIA – NeighborWebSJ
17 April 2021, NeighborWebSJ

GPU Database Market 2021 Industry Size, Share, Growth and Top Companies Analysis | Kinetica, OmniSci, SQream, Neo4j, NVIDIA, Brytlyt, Blazegraph, BlazingDB, Zilliz, and Jedox. Moreover, the other prospective players in the GPU database market are HeteroDB, H2O.ai, FASTDATA.io, Fuzzy Logix, and Anaconda.
16 April 2021, SoccerNurds

GPU Database Market is Expected to Show a Significant Growth During the Forecast Period 2021 – 2027 | Kinetica, OmniSci, SQream, Neo4j, NVIDIA, Brytlyt, Blazegraph, BlazingDB, Zilliz, and Jedox. Moreover, the other prospective players in the GPU database market are HeteroDB, H2O.ai, FASTDATA.io, Fuzzy Logix, and Anaconda.
16 April 2021, SoccerNurds

Exhaustive Study on GPU Database Market 2021 Strategic Assessment – NeighborWebSJ
18 April 2021, NeighborWebSJ

provided by Google News

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Game Recorder Software Market | Company Challenges And Essential Success Factors | RavenDB, Amazon DynamoDB, MongoDB, ArangoDB – KSU | The Sentinel Newspaper
17 April 2021, KSU | The Sentinel Newspaper

NoSQL Databases Market is Booming Worldwide with RavenDB,RavenDB, Amazon DynamoDB – The Courier
6 April 2021, The Courier

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