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DBMS > Hive vs. Quasardb vs. RavenDB vs. Titan

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

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Editorial information provided by DB-Engines
NameHive  Xexclude from comparisonQuasardb  Xexclude from comparisonRavenDB  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.
Descriptiondata warehouse software for querying and managing large distributed datasets, built on HadoopDistributed, high-performance timeseries databaseOpen Source Operational and Transactional Enterprise NoSQL Document DatabaseTitan is a Graph DBMS optimized for distributed clusters.
Primary database modelRelational DBMSTime Series DBMSDocument storeGraph DBMS
Secondary database modelsGraph DBMS
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score62.59
Rank#18  Overall
#12  Relational DBMS
Score0.19
Rank#327  Overall
#30  Time Series DBMS
Score3.01
Rank#101  Overall
#17  Document stores
Websitehive.apache.orgquasar.airavendb.netgithub.com/­thinkaurelius/­titan
Technical documentationcwiki.apache.org/­confluence/­display/­Hive/­Homedoc.quasar.ai/­masterravendb.net/­docsgithub.com/­thinkaurelius/­titan/­wiki
DeveloperApache Software Foundation infoinitially developed by FacebookquasardbHibernating RhinosAurelius, owned by DataStax
Initial release2012200920102012
Current release3.1.3, April 20223.14.1, January 20245.4, July 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2commercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licensesOpen Source infoAGPL version 3, commercial license availableOpen Source infoApache license, version 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++C#Java
Server operating systemsAll OS with a Java VMBSD
Linux
OS X
Windows
Linux
macOS
Raspberry Pi
Windows
Linux
OS X
Unix
Windows
Data schemeyesschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesyes infointeger and binarynoyes
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.no
Secondary indexesyesyes infowith tagsyesyes
SQL infoSupport of SQLSQL-like DML and DDL statementsSQL-like query languageSQL-like query language (RQL)no
APIs and other access methodsJDBC
ODBC
Thrift
HTTP API.NET Client API
F# Client API
Go Client API
Java Client API
NodeJS Client API
PHP Client API
Python Client API
RESTful HTTP API
Java API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster
Supported programming languagesC++
Java
PHP
Python
.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
.Net
C#
F#
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Clojure
Java
Python
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reducenoyesyes
Triggersnonoyesyes
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoconsistent hashingShardingyes infovia pluggable storage backends
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorSource-replica replication with selectable replication factorMulti-source replicationyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReducewith Hadoop integrationyesyes infovia Faunus, a graph analytics engine
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual 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.Eventual Consistency
Immediate Consistency
Foreign keys infoReferential integritynononoyes infoRelationships in graph
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACID, Cluster-wide transaction availableACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes infoby using LevelDByesyes 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 controlAccess rights for users, groups and rolesCryptographically strong user authentication and audit trailAuthorization levels configured per client per databaseUser authentification and security via Rexster Graph Server

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HiveQuasardbRavenDBTitan
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