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DBMS > Hypertable vs. Oracle Berkeley DB vs. RavenDB

System Properties Comparison Hypertable vs. Oracle Berkeley DB vs. RavenDB

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Editorial information provided by DB-Engines
NameHypertable  Xexclude from comparisonOracle Berkeley DB  Xexclude from comparisonRavenDB  Xexclude from comparison
Hypertable has stopped its further development with March 2016 and is removed from the DB-Engines ranking.
DescriptionAn open source BigTable implementation based on distributed file systems such as HadoopWidely used in-process key-value storeOpen Source Operational and Transactional Enterprise NoSQL Document Database
Primary database modelWide column storeKey-value store infosupports sorted and unsorted key sets
Native XML DBMS infoin the Oracle Berkeley DB XML version
Document store
Secondary database modelsGraph DBMS infoexperimental
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.75
Rank#89  Overall
#16  Key-value stores
#2  Native XML DBMS
Score4.33
Rank#80  Overall
#13  Document stores
Websitewww.oracle.com/­technetwork/­database/­database-technologies/­berkeleydb/­overview/­index.htmlravendb.net
Technical documentationdocs.oracle.com/­cd/­E17076_05/­html/­index.htmlravendb.net/­docs
DeveloperHypertable Inc.Oracle infooriginally developed by Sleepycat, which was acquired by OracleHibernating Rhinos
Initial release200919942010
Current release0.9.8.11, March 201618.1 (Core), June 20184.2, May 2019
License infoCommercial or Open SourceOpen Source infoGNU version 3. Commercial license availableOpen Source infocommercial license availableOpen Source infoAGPL version 3, commercial license available
Cloud-based only infoOnly available as a cloud servicenonono
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. Enjoy a globally distributed cluster with enterprise-grade security and reduce cloud storage costs by 50% with Native data compression.
Implementation languageC++C, Java, C++ (depending on the Berkeley DB edition)C#
Server operating systemsLinux
OS X
Windows infoan inofficial Windows port is available
AIX
Android
FreeBSD
iOS
Linux
OS X
Solaris
VxWorks
Windows
Linux
macOS
Raspberry Pi
Windows
Data schemeschema-freeschema-freeschema-free
Typing infopredefined data types such as float or datenonono
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.yes infoonly with the Berkeley DB XML edition
Secondary indexesrestricted infoonly exact value or prefix value scansyesyes
SQL infoSupport of SQLnoyes infoSQL interfaced based on SQLite is availableSQL-like query language (RQL)
APIs and other access methodsC++ API
Thrift
.NET Client API
Java Client API
Python Client API
RESTful HTTP API
Supported programming languagesC++
Java
Perl
PHP
Python
Ruby
.Net infoFigaro is a .Net framework assembly that extends Berkeley DB XML into an embeddable database engine for .NET
others infoThird-party libraries to manipulate Berkeley DB files are available for many languages
C
C#
C++
Java
JavaScript (Node.js) info3rd party binding
Perl
Python
Tcl
.Net
C#
Go
Java
JavaScript (Node.js)
Python
Ruby
Server-side scripts infoStored proceduresnonoyes
Triggersnoyes infoonly for the SQL APIyes
Partitioning methods infoMethods for storing different data on different nodesShardingnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor on file system levelSource-replica replicationMulti-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnoyes infoMapReduce functions can be defined in Linq
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACID, Cluster-wide transaction available
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes
User concepts infoAccess controlnonoAccess control on document level using the Authorization Bundle
More information provided by the system vendor
HypertableOracle Berkeley DBRavenDB
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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HypertableOracle Berkeley DBRavenDB
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