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DBMS > AnzoGraph DB vs. HugeGraph vs. Ignite vs. OpenMLDB

System Properties Comparison AnzoGraph DB vs. HugeGraph vs. Ignite vs. OpenMLDB

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Editorial information provided by DB-Engines
NameAnzoGraph DB  Xexclude from comparisonHugeGraph  Xexclude from comparisonIgnite  Xexclude from comparisonOpenMLDB  Xexclude from comparison
DescriptionScalable graph database built for online analytics and data harmonization with MPP scaling, high-performance analytical algorithms and reasoning, and virtualizationA 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.An open-source machine learning database that provides a feature platform for training and inference
Primary database modelGraph DBMS
RDF store
Graph DBMSKey-value store
Relational DBMS
Time Series DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.23
Rank#307  Overall
#24  Graph DBMS
#13  RDF stores
Score0.13
Rank#336  Overall
#32  Graph DBMS
Score3.16
Rank#96  Overall
#15  Key-value stores
#49  Relational DBMS
Score0.02
Rank#367  Overall
#37  Time Series DBMS
Websitecambridgesemantics.com/­anzographgithub.com/­hugegraph
hugegraph.apache.org
ignite.apache.orgopenmldb.ai
Technical documentationdocs.cambridgesemantics.com/­anzograph/­userdoc/­home.htmhugegraph.apache.org/­docsapacheignite.readme.io/­docsopenmldb.ai/­docs/­zh/­main
DeveloperCambridge SemanticsBaiduApache Software Foundation4 Paradigm Inc.
Initial release2018201820152020
Current release2.3, January 20210.9Apache Ignite 2.62024-2 February 2024
License infoCommercial or Open Sourcecommercial infofree trial version availableOpen Source infoApache Version 2.0Open Source infoApache 2.0Open Source
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++, Java, .NetC++, Java, Scala
Server operating systemsLinuxLinux
macOS
Unix
Linux
OS X
Solaris
Windows
Linux
Data schemeSchema-free and OWL/RDFS-schema supportyesyesFixed schema
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.nonoyesno
Secondary indexesnoyes infoalso supports composite index and range indexyesyes
SQL infoSupport of SQLSPARQL and SPARQL* as primary query language. Cypher preview.noANSI-99 for query and DML statements, subset of DDLyes
APIs and other access methodsApache Mule
gRPC
JDBC
Kafka
OData access for BI tools
OpenCypher
RESTful HTTP API
SPARQL
Java API
RESTful HTTP API
TinkerPop Gremlin
HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
JDBC
SQLAlchemy
Supported programming languagesC++
Java
Python
Groovy
Java
Python
C#
C++
Java
PHP
Python
Ruby
Scala
C++
Go
Java
Python
Scala
Server-side scripts infoStored proceduresuser defined functions and aggregatesasynchronous Gremlin script jobsyes (compute grid and cache interceptors can be used instead)no
Triggersnonoyes (cache interceptors and events)no
Partitioning methods infoMethods for storing different data on different nodesAutomatic shardingyes infodepending on used storage backend, e.g. Cassandra and HBaseShardinghorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication in MPP-Clusteryes infodepending on used storage backend, e.g. Cassandra and HBaseyes (replicated cache)Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsKerberos/HDFS data loadingvia hugegraph-sparkyes (compute grid and hadoop accelerator)
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency in MPP-ClusterEventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityno infonot needed in graphsyes infoedges in graphnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDno
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.yesyesyesyes
User concepts infoAccess controlAccess rights for users and rolesUsers, roles and permissionsSecurity Hooks for custom implementationsfine grained access rights according to SQL-standard

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More resources
AnzoGraph DBHugeGraphIgniteOpenMLDB
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