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DBMS > Dolt vs. Hypertable vs. MarkLogic vs. RavenDB

System Properties Comparison Dolt vs. Hypertable vs. MarkLogic vs. RavenDB

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Editorial information provided by DB-Engines
NameDolt  Xexclude from comparisonHypertable  Xexclude from comparisonMarkLogic  Xexclude from comparisonRavenDB  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 HadoopOperational and transactional Enterprise NoSQL databaseOpen Source Operational and Transactional Enterprise NoSQL Document Database
Primary database modelRelational DBMSWide column storeDocument store
Native XML DBMS
RDF store infoas of version 7
Search engine
Document store
Secondary database modelsDocument storeGraph DBMS
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.96
Rank#193  Overall
#90  Relational DBMS
Score5.92
Rank#58  Overall
#10  Document stores
#1  Native XML DBMS
#1  RDF stores
#6  Search engines
Score2.92
Rank#101  Overall
#18  Document stores
Websitegithub.com/­dolthub/­dolt
www.dolthub.com
www.marklogic.comravendb.net
Technical documentationdocs.dolthub.comdocs.marklogic.comravendb.net/­docs
DeveloperDoltHub IncHypertable Inc.MarkLogic Corp.Hibernating Rhinos
Initial release2018200920012010
Current release0.9.8.11, March 201611.0, December 20225.4, July 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoGNU version 3. Commercial license availablecommercial inforestricted free version is availableOpen Source infoAGPL version 3, commercial license available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageGoC++C++C#
Server operating systemsLinux
macOS
Windows
Linux
OS X
Windows infoan inofficial Windows port is available
Linux
OS X
Windows
Linux
macOS
Raspberry Pi
Windows
Data schemeyesschema-freeschema-free infoSchema can be enforcedschema-free
Typing infopredefined data types such as float or dateyesnoyesno
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
Secondary indexesyesrestricted infoonly exact value or prefix value scansyesyes
SQL infoSupport of SQLyesnoyes infoSQL92SQL-like query language (RQL)
APIs and other access methodsCLI Client
HTTP REST
C++ API
Thrift
Java API
Node.js Client API
ODBC
proprietary Optic API infoProprietary Query API, introduced with version 9
RESTful HTTP API
SPARQL
WebDAV
XDBC
XQuery
XSLT
.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
C
C#
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
.Net
C#
F#
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Server-side scripts infoStored proceduresyes infocurrently in alpha releasenoyes infovia XQuery or JavaScriptyes
Triggersyesnoyesyes
Partitioning methods infoMethods for storing different data on different nodesnoneShardingShardingSharding
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 levelyesMulti-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesyes infovia Hadoop Connector, HDFS Direct Access and in-database MapReduce jobsyes
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.
Foreign keys infoReferential integrityyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACID infocan act as a resource manager in an XA/JTA transactionACID, Cluster-wide transaction available
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes, with Range Indexes
User concepts infoAccess controlOnly one user is configurable, and must be specified in the config file at startupnoRole-based access control at the document and subdocument levelsAuthorization levels configured per client per database

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More resources
DoltHypertableMarkLogicRavenDB
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