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DBMS > Hypertable vs. OpenMLDB vs. RavenDB vs. SwayDB vs. Vitess

System Properties Comparison Hypertable vs. OpenMLDB vs. RavenDB vs. SwayDB vs. Vitess

Editorial information provided by DB-Engines
NameHypertable  Xexclude from comparisonOpenMLDB  Xexclude from comparisonRavenDB  Xexclude from comparisonSwayDB  Xexclude from comparisonVitess  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 inferenceOpen Source Operational and Transactional Enterprise NoSQL Document DatabaseAn embeddable, non-blocking, type-safe key-value store for single or multiple disks and in-memory storageScalable, distributed, cloud-native DBMS, extending MySQL
Primary database modelWide column storeTime Series DBMSDocument storeKey-value storeRelational DBMS
Secondary database modelsRelational DBMSGraph DBMS
Spatial DBMS
Time Series DBMS
Document store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.10
Rank#359  Overall
#36  Time Series DBMS
Score2.84
Rank#101  Overall
#18  Document stores
Score0.04
Rank#387  Overall
#61  Key-value stores
Score0.88
Rank#203  Overall
#95  Relational DBMS
Websiteopenmldb.airavendb.netswaydb.simer.auvitess.io
Technical documentationopenmldb.ai/­docs/­zh/­mainravendb.net/­docsvitess.io/­docs
DeveloperHypertable Inc.4 Paradigm Inc.Hibernating RhinosSimer PlahaThe Linux Foundation, PlanetScale
Initial release20092020201020182013
Current release0.9.8.11, March 20162024-2 February 20245.4, July 202215.0.2, December 2022
License infoCommercial or Open SourceOpen Source infoGNU version 3. Commercial license availableOpen SourceOpen Source infoAGPL version 3, commercial license availableOpen Source infoGNU Affero GPL V3.0Open Source infoApache Version 2.0, commercial licenses available
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++C++, Java, ScalaC#ScalaGo
Server operating systemsLinux
OS X
Windows infoan inofficial Windows port is available
LinuxLinux
macOS
Raspberry Pi
Windows
Docker
Linux
macOS
Data schemeschema-freeFixed schemaschema-freeschema-freeyes
Typing infopredefined data types such as float or datenoyesnonoyes
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.nono
Secondary indexesrestricted infoonly exact value or prefix value scansyesyesnoyes
SQL infoSupport of SQLnoyesSQL-like query language (RQL)noyes infowith proprietary extensions
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
ADO.NET
JDBC
MySQL protocol
ODBC
Supported programming languagesC++
Java
Perl
PHP
Python
Ruby
C++
Go
Java
Python
Scala
.Net
C#
F#
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Java
Kotlin
Scala
Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresnonoyesnoyes infoproprietary syntax
Triggersnonoyesnoyes
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioningShardingnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor on file system levelSource-replica replicationMulti-source replicationnoneMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyesnono
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 ConsistencyEventual Consistency across shards
Immediate Consistency within a shard
Foreign keys infoReferential integritynonononoyes infonot for MyISAM storage engine
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACID, Cluster-wide transaction availableAtomic execution of operationsACID at shard level
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes infotable locks or row locks depending on storage engine
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-standardAuthorization levels configured per client per databasenoUsers with fine-grained authorization concept infono user groups or roles

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More resources
HypertableOpenMLDBRavenDBSwayDBVitess
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