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DBMS > Hypertable vs. OpenMLDB vs. Oracle Berkeley DB vs. RavenDB vs. SwayDB

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

Editorial information provided by DB-Engines
NameHypertable  Xexclude from comparisonOpenMLDB  Xexclude from comparisonOracle Berkeley DB  Xexclude from comparisonRavenDB  Xexclude from comparisonSwayDB  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 HadoopAn open-source machine learning database that provides a feature platform for training and inferenceWidely used in-process key-value storeOpen Source Operational and Transactional Enterprise NoSQL Document DatabaseAn embeddable, non-blocking, type-safe key-value store for single or multiple disks and in-memory storage
Primary database modelWide column storeTime Series DBMSKey-value store infosupports sorted and unsorted key sets
Native XML DBMS infoin the Oracle Berkeley DB XML version
Document storeKey-value store
Secondary database modelsRelational DBMSGraph DBMS
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.11
Rank#339  Overall
#30  Time Series DBMS
Score1.88
Rank#130  Overall
#23  Key-value stores
#3  Native XML DBMS
Score2.68
Rank#102  Overall
#19  Document stores
Score0.00
Rank#384  Overall
#60  Key-value stores
Websiteopenmldb.aiwww.oracle.com/­database/­technologies/­related/­berkeleydb.htmlravendb.netswaydb.simer.au
Technical documentationopenmldb.ai/­docs/­zh/­maindocs.oracle.com/­cd/­E17076_05/­html/­index.htmlravendb.net/­docs
DeveloperHypertable Inc.4 Paradigm Inc.Oracle infooriginally developed by Sleepycat, which was acquired by OracleHibernating RhinosSimer Plaha
Initial release20092020199420102018
Current release0.9.8.11, March 20162024-2 February 202418.1.40, May 20205.4, July 2022
License infoCommercial or Open SourceOpen Source infoGNU version 3. Commercial license availableOpen SourceOpen Source infocommercial license availableOpen Source infoAGPL version 3, commercial license availableOpen Source infoGNU Affero GPL V3.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++C++, Java, ScalaC, Java, C++ (depending on the Berkeley DB edition)C#Scala
Server operating systemsLinux
OS X
Windows infoan inofficial Windows port is available
LinuxAIX
Android
FreeBSD
iOS
Linux
OS X
Solaris
VxWorks
Windows
Linux
macOS
Raspberry Pi
Windows
Data schemeschema-freeFixed schemaschema-freeschema-freeschema-free
Typing infopredefined data types such as float or datenoyesnonono
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.noyes infoonly with the Berkeley DB XML editionno
Secondary indexesrestricted infoonly exact value or prefix value scansyesyesyesno
SQL infoSupport of SQLnoyesyes infoSQL interfaced based on SQLite is availableSQL-like query language (RQL)no
APIs and other access methodsC++ API
Thrift
JDBC
SQLAlchemy
.NET Client API
F# Client API
Go Client API
Java Client API
NodeJS Client API
PHP Client API
Python Client API
RESTful HTTP API
Supported programming languagesC++
Java
Perl
PHP
Python
Ruby
C++
Go
Java
Python
Scala
.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#
F#
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Java
Kotlin
Scala
Server-side scripts infoStored proceduresnononoyesno
Triggersnonoyes infoonly for the SQL APIyesno
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioningnoneShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor on file system levelSource-replica replicationSource-replica replicationMulti-source replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyDefault ACID transactions on the local node (eventually consistent across the cluster). Atomic operations with cluster-wide ACID transactions. Eventual consistency for indexes and full-text search indexes.Immediate Consistency
Foreign keys infoReferential integritynonononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACIDACID, Cluster-wide transaction availableAtomic execution of operations
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes
User concepts infoAccess controlnofine grained access rights according to SQL-standardnoAuthorization levels configured per client per databaseno

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More resources
HypertableOpenMLDBOracle Berkeley DBRavenDBSwayDB
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