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DBMS > HugeGraph vs. JanusGraph vs. Kinetica vs. YugabyteDB

System Properties Comparison HugeGraph vs. JanusGraph vs. Kinetica vs. YugabyteDB

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Editorial information provided by DB-Engines
NameHugeGraph  Xexclude from comparisonJanusGraph infosuccessor of Titan  Xexclude from comparisonKinetica  Xexclude from comparisonYugabyteDB  Xexclude from comparison
DescriptionA fast-speed and highly-scalable Graph DBMSA Graph DBMS optimized for distributed clusters infoIt was forked from the latest code base of Titan in January 2017Fully vectorized database across both GPUs and CPUsHigh-performance distributed SQL database for global, internet-scale applications. Wire and feature compatible with PostgreSQL.
Primary database modelGraph DBMSGraph DBMSRelational DBMSRelational DBMS
Secondary database modelsSpatial DBMS
Time Series DBMS
Document store
Wide column store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.17
Rank#335  Overall
#31  Graph DBMS
Score2.02
Rank#125  Overall
#12  Graph DBMS
Score0.66
Rank#234  Overall
#107  Relational DBMS
Score2.63
Rank#109  Overall
#53  Relational DBMS
Websitegithub.com/­hugegraph
hugegraph.apache.org
janusgraph.orgwww.kinetica.comwww.yugabyte.com
Technical documentationhugegraph.apache.org/­docsdocs.janusgraph.orgdocs.kinetica.comdocs.yugabyte.com
github.com/­yugabyte/­yugabyte-db
DeveloperBaiduLinux Foundation; originally developed as Titan by AureliusKineticaYugabyte Inc.
Initial release2018201720122017
Current release0.90.6.3, February 20237.1, August 20212.19, September 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache 2.0commercialOpen Source infoApache 2.0
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.
YugabyteDB Managed is the fully managed database-as-a-service offering of YugabyteDB. Get started quickly, and effortlessly ensure continuous availability and limitless scale of your cloud native applications.
Implementation languageJavaJavaC, C++C and C++
Server operating systemsLinux
macOS
Unix
Linux
OS X
Unix
Windows
LinuxLinux
OS X
Data schemeyesyesyesdepending on used data model
Typing infopredefined data types such as float or dateyesyesyesyes
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 indexesyes infoalso supports composite index and range indexyesyesyes
SQL infoSupport of SQLnonoSQL-like DML and DDL statementsyes, PostgreSQL compatible
APIs and other access methodsJava API
RESTful HTTP API
TinkerPop Gremlin
Java API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster
JDBC
ODBC
RESTful HTTP API
JDBC
YCQL, an SQL-based flexible-schema API with its roots in Cassandra Query Language
YSQL - a fully relational SQL API that is wire compatible with the SQL language in PostgreSQL
Supported programming languagesGroovy
Java
Python
Clojure
Java
Python
C++
Java
JavaScript (Node.js)
Python
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Rust
Scala
Server-side scripts infoStored proceduresasynchronous Gremlin script jobsyesuser defined functionsyes infosql, plpgsql, C
Triggersnoyesyes infotriggers when inserted values for one or more columns fall within a specified rangeyes
Partitioning methods infoMethods for storing different data on different nodesyes infodepending on used storage backend, e.g. Cassandra and HBaseyes infodepending on the used storage backend (e.g. Cassandra, HBase, BerkeleyDB)ShardingHash and Range Sharding, row-level geo-partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyes infodepending on used storage backend, e.g. Cassandra and HBaseyesSource-replica replicationBased on Raft distributed consensus protocol, minimum 3 replicas for continuous availability
MapReduce infoOffers an API for user-defined Map/Reduce methodsvia hugegraph-sparkyes infovia Faunus, a graph analytics enginenono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyEventual Consistency
Immediate Consistency
Immediate Consistency or Eventual Consistency depending on configurationStrong consistency on writes and tunable consistency on reads
Foreign keys infoReferential integrityyes infoedges in graphyes infoRelationships in graphsyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnoDistributed ACID with Serializable & Snapshot Isolation. Inspired by Google Spanner architecture.
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes infoSupports various storage backends: Cassandra, HBase, Berkeley DB, Akiban, Hazelcastyesyes infobased on RocksDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes infoGPU vRAM or System RAMno
User concepts infoAccess controlUsers, roles and permissionsUser authentification and security via Rexster Graph ServerAccess rights for users and roles on table levelyes
More information provided by the system vendor
HugeGraphJanusGraph infosuccessor of TitanKineticaYugabyteDB
Specific characteristicsYugabyteDB is an open source distributed SQL database for cloud native transactional...
» more
Competitive advantagesPostgreSQL compatible: Get instantly productive with a PostgreSQL compatible RDBMS....
» more
Typical application scenariosSystems of record and engagement for cloud native applications that require resilience,...
» more
Market metrics2 Million+ lifetime clusters deployed, 6.5K+ GitHub stars, 7K YugabyteDB Community...
» more
Licensing and pricing modelsApache 2.0 license for the database
» more

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HugeGraphJanusGraph infosuccessor of TitanKineticaYugabyteDB
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