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DBMS > Dolt vs. Hive vs. Quasardb vs. Titan

System Properties Comparison Dolt vs. Hive vs. Quasardb vs. Titan

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Editorial information provided by DB-Engines
NameDolt  Xexclude from comparisonHive  Xexclude from comparisonQuasardb  Xexclude from comparisonTitan  Xexclude from comparison
Titan has been decommisioned after the takeover by Datastax. It will be removed from the DB-Engines ranking. A fork has been open-sourced as JanusGraph.
DescriptionA MySQL compatible DBMS with Git-like versioning of data and schemadata warehouse software for querying and managing large distributed datasets, built on HadoopDistributed, high-performance timeseries databaseTitan is a Graph DBMS optimized for distributed clusters.
Primary database modelRelational DBMSRelational DBMSTime Series DBMSGraph DBMS
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.96
Rank#193  Overall
#90  Relational DBMS
Score61.17
Rank#18  Overall
#12  Relational DBMS
Score0.14
Rank#332  Overall
#29  Time Series DBMS
Websitegithub.com/­dolthub/­dolt
www.dolthub.com
hive.apache.orgquasar.aigithub.com/­thinkaurelius/­titan
Technical documentationdocs.dolthub.comcwiki.apache.org/­confluence/­display/­Hive/­Homedoc.quasar.ai/­mastergithub.com/­thinkaurelius/­titan/­wiki
DeveloperDoltHub IncApache Software Foundation infoinitially developed by FacebookquasardbAurelius, owned by DataStax
Initial release2018201220092012
Current release3.1.3, April 20223.14.1, January 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache Version 2commercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licensesOpen Source infoApache license, version 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoJavaC++Java
Server operating systemsLinux
macOS
Windows
All OS with a Java VMBSD
Linux
OS X
Windows
Linux
OS X
Unix
Windows
Data schemeyesyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesyes infointeger and binaryyes
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 indexesyesyesyes infowith tagsyes
SQL infoSupport of SQLyesSQL-like DML and DDL statementsSQL-like query languageno
APIs and other access methodsCLI Client
HTTP REST
JDBC
ODBC
Thrift
HTTP APIJava API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster
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
PHP
Python
.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
Clojure
Java
Python
Server-side scripts infoStored proceduresyes infocurrently in alpha releaseyes infouser defined functions and integration of map-reducenoyes
Triggersyesnonoyes
Partitioning methods infoMethods for storing different data on different nodesnoneShardingSharding infoconsistent hashingyes infovia pluggable storage backends
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 factorSource-replica replication with selectable replication factoryes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoquery execution via MapReducewith Hadoop integrationyes infovia Faunus, a graph analytics engine
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyEventual Consistency
Immediate Consistency
Foreign keys infoReferential integrityyesnonoyes infoRelationships in graph
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes infoby using LevelDByes infoSupports various storage backends: Cassandra, HBase, Berkeley DB, Akiban, Hazelcast
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infoTransient mode
User concepts infoAccess controlOnly one user is configurable, and must be specified in the config file at startupAccess rights for users, groups and rolesCryptographically strong user authentication and audit trailUser authentification and security via Rexster Graph Server

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More resources
DoltHiveQuasardbTitan
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