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DBMS > Dolt vs. Hypertable vs. NSDb vs. RavenDB vs. SwayDB

System Properties Comparison Dolt vs. Hypertable vs. NSDb vs. RavenDB vs. SwayDB

Editorial information provided by DB-Engines
NameDolt  Xexclude from comparisonHypertable  Xexclude from comparisonNSDb  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.
DescriptionA MySQL compatible DBMS with Git-like versioning of data and schemaAn open source BigTable implementation based on distributed file systems such as HadoopScalable, High-performance Time Series DBMS designed for Real-time Analytics on top of KubernetesOpen 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 modelRelational DBMSWide column storeTime Series DBMSDocument storeKey-value store
Secondary database modelsDocument storeGraph DBMS
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.02
Rank#191  Overall
#89  Relational DBMS
Score0.08
Rank#369  Overall
#40  Time Series DBMS
Score2.84
Rank#101  Overall
#18  Document stores
Score0.04
Rank#387  Overall
#61  Key-value stores
Websitegithub.com/­dolthub/­dolt
www.dolthub.com
nsdb.ioravendb.netswaydb.simer.au
Technical documentationdocs.dolthub.comnsdb.io/­Architectureravendb.net/­docs
DeveloperDoltHub IncHypertable Inc.Hibernating RhinosSimer Plaha
Initial release20182009201720102018
Current release0.9.8.11, March 20165.4, July 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoGNU version 3. Commercial license availableOpen Source infoApache Version 2.0Open 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

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoC++Java, ScalaC#Scala
Server operating systemsLinux
macOS
Windows
Linux
OS X
Windows infoan inofficial Windows port is available
Linux
macOS
Linux
macOS
Raspberry Pi
Windows
Data schemeyesschema-freeschema-freeschema-free
Typing infopredefined data types such as float or dateyesnoyes: int, bigint, decimal, stringnono
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.nonono
Secondary indexesyesrestricted infoonly exact value or prefix value scansall fields are automatically indexedyesno
SQL infoSupport of SQLyesnoSQL-like query languageSQL-like query language (RQL)no
APIs and other access methodsCLI Client
HTTP REST
C++ API
Thrift
gRPC
HTTP REST
WebSocket
.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 languagesAda
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
C++
Java
Perl
PHP
Python
Ruby
Java
Scala
.Net
C#
F#
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Java
Kotlin
Scala
Server-side scripts infoStored proceduresyes infocurrently in alpha releasenonoyesno
Triggersyesnoyesno
Partitioning methods infoMethods for storing different data on different nodesnoneShardingShardingShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesA database can be cloned to multiple locations and be used there in isolation. Data/schema changes can be pushed/pulled explicitly between locations.selectable replication factor on file system levelMulti-source replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual 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 integrityyesnononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnonoACID, Cluster-wide transaction availableAtomic execution of operations
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesUsing Apache Luceneyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes
User concepts infoAccess controlOnly one user is configurable, and must be specified in the config file at startupnoAuthorization levels configured per client per databaseno

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More resources
DoltHypertableNSDbRavenDBSwayDB
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