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DBMS > HugeGraph vs. Newts vs. Quasardb vs. SQL.JS vs. TimesTen

System Properties Comparison HugeGraph vs. Newts vs. Quasardb vs. SQL.JS vs. TimesTen

Editorial information provided by DB-Engines
NameHugeGraph  Xexclude from comparisonNewts  Xexclude from comparisonQuasardb  Xexclude from comparisonSQL.JS  Xexclude from comparisonTimesTen  Xexclude from comparison
DescriptionA fast-speed and highly-scalable Graph DBMSTime Series DBMS based on CassandraDistributed, high-performance timeseries databasePort of SQLite to JavaScriptIn-Memory RDBMS compatible to Oracle
Primary database modelGraph DBMSTime Series DBMSTime Series DBMSRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.13
Rank#336  Overall
#32  Graph DBMS
Score0.00
Rank#383  Overall
#41  Time Series DBMS
Score0.14
Rank#332  Overall
#29  Time Series DBMS
Score0.53
Rank#252  Overall
#116  Relational DBMS
Score1.31
Rank#163  Overall
#74  Relational DBMS
Websitegithub.com/­hugegraph
hugegraph.apache.org
opennms.github.io/­newtsquasar.aisql.js.orgwww.oracle.com/­database/­technologies/­related/­timesten.html
Technical documentationhugegraph.apache.org/­docsgithub.com/­OpenNMS/­newts/­wikidoc.quasar.ai/­mastersql.js.org/­documentation/­index.htmldocs.oracle.com/­database/­timesten-18.1
DeveloperBaiduOpenNMS GroupquasardbAlon Zakai infoenhancements implemented by othersOracle, TimesTen Performance Software, HP infooriginally founded in HP Labs it was acquired by Oracle in 2005
Initial release20182014200920121998
Current release0.93.14.1, January 202411 Release 2 (11.2.2.8.0)
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache 2.0commercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licensesOpen Sourcecommercial
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaC++JavaScript
Server operating systemsLinux
macOS
Unix
Linux
OS X
Windows
BSD
Linux
OS X
Windows
server-less, requires a JavaScript environment (browser, Node.js)AIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
Data schemeyesschema-freeschema-freeyesyes
Typing infopredefined data types such as float or dateyesyesyes infointeger and binaryyesyes
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.nonononono
Secondary indexesyes infoalso supports composite index and range indexnoyes infowith tagsyes
SQL infoSupport of SQLnonoSQL-like query languageyes infoSQL-92 is not fully supportedyes
APIs and other access methodsJava API
RESTful HTTP API
TinkerPop Gremlin
HTTP REST
Java API
HTTP APIJavaScript APIJDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
Supported programming languagesGroovy
Java
Python
Java.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
JavaScriptC
C++
Java
PL/SQL
Server-side scripts infoStored proceduresasynchronous Gremlin script jobsnononoPL/SQL
Triggersnonononono
Partitioning methods infoMethods for storing different data on different nodesyes infodepending on used storage backend, e.g. Cassandra and HBaseSharding infobased on CassandraSharding infoconsistent hashingnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesyes infodepending on used storage backend, e.g. Cassandra and HBaseselectable replication factor infobased on CassandraSource-replica replication with selectable replication factornoneMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsvia hugegraph-sparknowith Hadoop integrationnono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate ConsistencynoneImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integrityyes infoedges in graphnonoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes infoby using LevelDBno infoexcept by serializing a db to a fileyes infoby means of logfiles and checkpoints
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyes infoTransient modeyesyes
User concepts infoAccess controlUsers, roles and permissionsnoCryptographically strong user authentication and audit trailnofine grained access rights according to SQL-standard

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More resources
HugeGraphNewtsQuasardbSQL.JSTimesTen
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