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DBMS > Quasardb vs. RavenDB vs. TimesTen vs. Tkrzw

System Properties Comparison Quasardb vs. RavenDB vs. TimesTen vs. Tkrzw

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Editorial information provided by DB-Engines
NameQuasardb  Xexclude from comparisonRavenDB  Xexclude from comparisonTimesTen  Xexclude from comparisonTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet  Xexclude from comparison
DescriptionDistributed, high-performance timeseries databaseOpen Source Operational and Transactional Enterprise NoSQL Document DatabaseIn-Memory RDBMS compatible to OracleA concept of libraries, allowing an application program to store and query key-value pairs in a file. Successor of Tokyo Cabinet and Kyoto Cabinet
Primary database modelTime Series DBMSDocument storeRelational DBMSKey-value store
Secondary database modelsGraph DBMS
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.14
Rank#332  Overall
#29  Time Series DBMS
Score2.92
Rank#101  Overall
#18  Document stores
Score1.31
Rank#163  Overall
#74  Relational DBMS
Score0.00
Rank#383  Overall
#60  Key-value stores
Websitequasar.airavendb.netwww.oracle.com/­database/­technologies/­related/­timesten.htmldbmx.net/­tkrzw
Technical documentationdoc.quasar.ai/­masterravendb.net/­docsdocs.oracle.com/­database/­timesten-18.1
DeveloperquasardbHibernating RhinosOracle, TimesTen Performance Software, HP infooriginally founded in HP Labs it was acquired by Oracle in 2005Mikio Hirabayashi
Initial release2009201019982020
Current release3.14.1, January 20245.4, July 202211 Release 2 (11.2.2.8.0)0.9.3, August 2020
License infoCommercial or Open Sourcecommercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licensesOpen Source infoAGPL version 3, commercial license availablecommercialOpen Source infoApache 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 languageC++C#C++
Server operating systemsBSD
Linux
OS X
Windows
Linux
macOS
Raspberry Pi
Windows
AIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
Linux
macOS
Data schemeschema-freeschema-freeyesschema-free
Typing infopredefined data types such as float or dateyes infointeger and binarynoyesno
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 indexesyes infowith tagsyesyes
SQL infoSupport of SQLSQL-like query languageSQL-like query language (RQL)yesno
APIs and other access methodsHTTP 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
JDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
Supported programming languages.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
.Net
C#
F#
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
C
C++
Java
PL/SQL
C++
Java
Python
Ruby
Server-side scripts infoStored proceduresnoyesPL/SQLno
Triggersnoyesnono
Partitioning methods infoMethods for storing different data on different nodesSharding infoconsistent hashingShardingnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replication with selectable replication factorMulti-source replicationMulti-source replication
Source-replica replication
none
MapReduce infoOffers an API for user-defined Map/Reduce methodswith Hadoop integrationyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate 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 or Eventual Consistency depending on configurationImmediate Consistency
Foreign keys infoReferential integritynonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID, Cluster-wide transaction availableACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyes infoby using LevelDByesyes infoby means of logfiles and checkpointsyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infoTransient modeyesyes infousing specific database classes
User concepts infoAccess controlCryptographically strong user authentication and audit trailAuthorization levels configured per client per databasefine grained access rights according to SQL-standardno

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More resources
QuasardbRavenDBTimesTenTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet
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