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DBMS > Apache Kylin vs. HugeGraph vs. Oracle Berkeley DB vs. Quasardb

System Properties Comparison Apache Kylin vs. HugeGraph vs. Oracle Berkeley DB vs. Quasardb

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Editorial information provided by DB-Engines
NameApache Kylin  Xexclude from comparisonHugeGraph  Xexclude from comparisonOracle Berkeley DB  Xexclude from comparisonQuasardb  Xexclude from comparison
DescriptionA distributed analytics engine for big data, providing a SQL interface and multi-dimensional analysis (OLAP) and leveraging the Hadoop stackA fast-speed and highly-scalable Graph DBMSWidely used in-process key-value storeDistributed, high-performance timeseries database
Primary database modelRelational DBMSGraph DBMSKey-value store infosupports sorted and unsorted key sets
Native XML DBMS infoin the Oracle Berkeley DB XML version
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.25
Rank#170  Overall
#77  Relational DBMS
Score0.17
Rank#335  Overall
#31  Graph DBMS
Score2.01
Rank#126  Overall
#21  Key-value stores
#3  Native XML DBMS
Score0.21
Rank#322  Overall
#29  Time Series DBMS
Websitekylin.apache.orggithub.com/­hugegraph
hugegraph.apache.org
www.oracle.com/­database/­technologies/­related/­berkeleydb.htmlquasar.ai
Technical documentationkylin.apache.org/­docshugegraph.apache.org/­docsdocs.oracle.com/­cd/­E17076_05/­html/­index.htmldoc.quasar.ai/­master
DeveloperApache Software Foundation, originally contributed from eBay IncBaiduOracle infooriginally developed by Sleepycat, which was acquired by Oraclequasardb
Initial release2015201819942009
Current release3.1.0, July 20200.918.1.40, May 20203.14.1, January 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache Version 2.0Open Source infocommercial license availablecommercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licenses
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaC, Java, C++ (depending on the Berkeley DB edition)C++
Server operating systemsLinuxLinux
macOS
Unix
AIX
Android
FreeBSD
iOS
Linux
OS X
Solaris
VxWorks
Windows
BSD
Linux
OS X
Windows
Data schemeyesyesschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesnoyes infointeger and binary
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.nonoyes infoonly with the Berkeley DB XML editionno
Secondary indexesyesyes infoalso supports composite index and range indexyesyes infowith tags
SQL infoSupport of SQLANSI SQL for queries (using Apache Calcite)noyes infoSQL interfaced based on SQLite is availableSQL-like query language
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
Java API
RESTful HTTP API
TinkerPop Gremlin
HTTP API
Supported programming languagesGroovy
Java
Python
.Net infoFigaro is a .Net framework assembly that extends Berkeley DB XML into an embeddable database engine for .NET
others infoThird-party libraries to manipulate Berkeley DB files are available for many languages
C
C#
C++
Java
JavaScript (Node.js) info3rd party binding
Perl
Python
Tcl
.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
Server-side scripts infoStored proceduresasynchronous Gremlin script jobsnono
Triggersnoyes infoonly for the SQL APIno
Partitioning methods infoMethods for storing different data on different nodesyes infodepending on used storage backend, e.g. Cassandra and HBasenoneSharding infoconsistent hashing
Replication methods infoMethods for redundantly storing data on multiple nodesyes infodepending on used storage backend, e.g. Cassandra and HBaseSource-replica replicationSource-replica replication with selectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesvia hugegraph-sparknowith Hadoop integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infoedges in graphnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoby using LevelDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyesyes infoTransient mode
User concepts infoAccess controlUsers, roles and permissionsnoCryptographically strong user authentication and audit trail

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More resources
Apache KylinHugeGraphOracle Berkeley DBQuasardb
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