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DBMS > EsgynDB vs. HugeGraph vs. VictoriaMetrics vs. WakandaDB

System Properties Comparison EsgynDB vs. HugeGraph vs. VictoriaMetrics vs. WakandaDB

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Editorial information provided by DB-Engines
NameEsgynDB  Xexclude from comparisonHugeGraph  Xexclude from comparisonVictoriaMetrics  Xexclude from comparisonWakandaDB  Xexclude from comparison
DescriptionEnterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionA fast-speed and highly-scalable Graph DBMSA fast, cost-effective and scalable Time Series DBMS and monitoring solutionWakandaDB is embedded in a server that provides a REST API and a server-side javascript engine to access data
Primary database modelRelational DBMSGraph DBMSTime Series DBMSObject oriented DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.25
Rank#312  Overall
#138  Relational DBMS
Score0.17
Rank#335  Overall
#31  Graph DBMS
Score1.23
Rank#172  Overall
#15  Time Series DBMS
Score0.10
Rank#356  Overall
#16  Object oriented DBMS
Websitewww.esgyn.cngithub.com/­hugegraph
hugegraph.apache.org
victoriametrics.comwakanda.github.io
Technical documentationhugegraph.apache.org/­docsdocs.victoriametrics.com
github.com/­VictoriaMetrics/­VictoriaMetrics/­wiki
wakanda.github.io/­doc
DeveloperEsgynBaiduVictoriaMetricsWakanda SAS
Initial release2015201820182012
Current release0.9v1.91, May 20232.7.0 (April 29, 2019), April 2019
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0Open Source infoApache Version 2.0Open Source infoAGPLv3, extended commercial license available
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 languageC++, JavaJavaGoC++, JavaScript
Server operating systemsLinuxLinux
macOS
Unix
FreeBSD
Linux
macOS
OpenBSD
Linux
OS X
Windows
Data schemeyesyesyes
Typing infopredefined data types such as float or dateyesyesyes
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.nononono
Secondary indexesyesyes infoalso supports composite index and range index
SQL infoSupport of SQLyesnonono
APIs and other access methodsADO.NET
JDBC
ODBC
Java API
RESTful HTTP API
TinkerPop Gremlin
Graphite protocol
InfluxDB Line Protocol
OpenTSDB
Prometheus Query API
Prometheus Remote Read/Write
RESTful HTTP API
Supported programming languagesAll languages supporting JDBC/ODBC/ADO.NetGroovy
Java
Python
JavaScript
Server-side scripts infoStored proceduresJava Stored Proceduresasynchronous Gremlin script jobsnoyes
Triggersnononoyes
Partitioning methods infoMethods for storing different data on different nodesShardingyes infodepending on used storage backend, e.g. Cassandra and HBasenone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication between multi datacentersyes infodepending on used storage backend, e.g. Cassandra and HBaseSynchronous replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesvia hugegraph-sparknono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyes infoedges in graphno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesnono
User concepts infoAccess controlfine grained access rights according to SQL-standardUsers, roles and permissionsyes

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More resources
EsgynDBHugeGraphVictoriaMetricsWakandaDB
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