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DBMS > Dgraph vs. GBase vs. HugeGraph vs. Ignite vs. Lovefield

System Properties Comparison Dgraph vs. GBase vs. HugeGraph vs. Ignite vs. Lovefield

Editorial information provided by DB-Engines
NameDgraph  Xexclude from comparisonGBase  Xexclude from comparisonHugeGraph  Xexclude from comparisonIgnite  Xexclude from comparisonLovefield  Xexclude from comparison
DescriptionDistributed and scalable native Graph DBMSWidely used RDBMS in China, including analytical, transactional, distributed transactional, and cloud-native data warehousing.A fast-speed and highly-scalable Graph DBMSApache Ignite is a memory-centric distributed database, caching, and processing platform for transactional, analytical, and streaming workloads, delivering in-memory speeds at petabyte scale.Embeddable relational database for web apps written in pure JavaScript
Primary database modelGraph DBMSRelational DBMSGraph DBMSKey-value store
Relational DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.53
Rank#152  Overall
#15  Graph DBMS
Score1.05
Rank#186  Overall
#86  Relational DBMS
Score0.17
Rank#335  Overall
#31  Graph DBMS
Score3.11
Rank#96  Overall
#15  Key-value stores
#49  Relational DBMS
Score0.33
Rank#286  Overall
#131  Relational DBMS
Websitedgraph.iowww.gbase.cngithub.com/­hugegraph
hugegraph.apache.org
ignite.apache.orggoogle.github.io/­lovefield
Technical documentationdgraph.io/­docshugegraph.apache.org/­docsapacheignite.readme.io/­docsgithub.com/­google/­lovefield/­blob/­master/­docs/­spec_index.md
DeveloperDgraph Labs, Inc.General Data Technology Co., Ltd.BaiduApache Software FoundationGoogle
Initial release20162004201820152014
Current releaseGBase 8a, GBase 8s, GBase 8c0.9Apache Ignite 2.62.1.12, February 2017
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialOpen Source infoApache Version 2.0Open Source infoApache 2.0Open Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoC, Java, PythonJavaC++, Java, .NetJavaScript
Server operating systemsLinux
OS X
Windows
LinuxLinux
macOS
Unix
Linux
OS X
Solaris
Windows
server-less, requires a JavaScript environment (browser, Node.js) infotested with Chrome, Firefox, IE, Safari
Data schemeschema-freeyesyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyesyes
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.noyesnoyesno
Secondary indexesyesyesyes infoalso supports composite index and range indexyesyes
SQL infoSupport of SQLnoStandard with numerous extensionsnoANSI-99 for query and DML statements, subset of DDLSQL-like query language infovia JavaScript builder pattern
APIs and other access methodsGraphQL query language
gRPC (using protocol buffers) API
HTTP API
ADO.NET
C API
JDBC
ODBC
Java API
RESTful HTTP API
TinkerPop Gremlin
HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
Supported programming languagesC#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
C#Groovy
Java
Python
C#
C++
Java
PHP
Python
Ruby
Scala
JavaScript
Server-side scripts infoStored proceduresnouser defined functionsasynchronous Gremlin script jobsyes (compute grid and cache interceptors can be used instead)no
Triggersnoyesnoyes (cache interceptors and events)Using read-only observers
Partitioning methods infoMethods for storing different data on different nodesyeshorizontal partitioning (by range, list and hash) and vertical partitioningyes infodepending on used storage backend, e.g. Cassandra and HBaseShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesSynchronous replication via Raftyesyes infodepending on used storage backend, e.g. Cassandra and HBaseyes (replicated cache)none
MapReduce infoOffers an API for user-defined Map/Reduce methodsnovia hugegraph-sparkyes (compute grid and hadoop accelerator)no
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesyes infoedges in graphnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes, by using IndexedDB or the cloud service Firebase Realtime Database
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes infousing MemoryDB
User concepts infoAccess controlno infoPlanned for future releasesyesUsers, roles and permissionsSecurity Hooks for custom implementationsno

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More resources
DgraphGBaseHugeGraphIgniteLovefield
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