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DBMS > AlaSQL vs. AnzoGraph DB vs. H2 vs. HugeGraph vs. Oracle NoSQL

System Properties Comparison AlaSQL vs. AnzoGraph DB vs. H2 vs. HugeGraph vs. Oracle NoSQL

Editorial information provided by DB-Engines
NameAlaSQL  Xexclude from comparisonAnzoGraph DB  Xexclude from comparisonH2  Xexclude from comparisonHugeGraph  Xexclude from comparisonOracle NoSQL  Xexclude from comparison
DescriptionJavaScript DBMS libraryScalable graph database built for online analytics and data harmonization with MPP scaling, high-performance analytical algorithms and reasoning, and virtualizationFull-featured RDBMS with a small footprint, either embedded into a Java application or used as a database server.A fast-speed and highly-scalable Graph DBMSA multi-model, scalable, distributed NoSQL database, designed to provide highly reliable, flexible, and available data management across a configurable set of storage nodes
Primary database modelDocument store
Relational DBMS
Graph DBMS
RDF store
Relational DBMSGraph DBMSDocument store
Key-value store
Relational DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.46
Rank#260  Overall
#40  Document stores
#121  Relational DBMS
Score0.23
Rank#307  Overall
#24  Graph DBMS
#13  RDF stores
Score8.13
Rank#49  Overall
#31  Relational DBMS
Score0.13
Rank#336  Overall
#32  Graph DBMS
Score2.95
Rank#100  Overall
#17  Document stores
#17  Key-value stores
#50  Relational DBMS
Websitealasql.orgcambridgesemantics.com/­anzographwww.h2database.comgithub.com/­hugegraph
hugegraph.apache.org
www.oracle.com/­database/­nosql/­technologies/­nosql
Technical documentationgithub.com/­AlaSQL/­alasqldocs.cambridgesemantics.com/­anzograph/­userdoc/­home.htmwww.h2database.com/­html/­main.htmlhugegraph.apache.org/­docsdocs.oracle.com/­en/­database/­other-databases/­nosql-database/­index.html
DeveloperAndrey Gershun & Mathias R. WulffCambridge SemanticsThomas MuellerBaiduOracle
Initial release20142018200520182011
Current release2.3, January 20212.2.220, July 20230.923.3, December 2023
License infoCommercial or Open SourceOpen Source infoMIT-Licensecommercial infofree trial version availableOpen Source infodual-licence (Mozilla public license, Eclipse public license)Open Source infoApache Version 2.0Open Source infoProprietary for Enterprise Edition (Oracle Database EE license has Oracle NoSQL database EE covered: details)
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaScriptJavaJavaJava
Server operating systemsserver-less, requires a JavaScript environment (browser, Node.js)LinuxAll OS with a Java VMLinux
macOS
Unix
Linux
Solaris SPARC/x86
Data schemeschema-freeSchema-free and OWL/RDFS-schema supportyesyesSupport Fixed schema and Schema-less deployment with the ability to interoperate between them.
Typing infopredefined data types such as float or datenoyesyesoptional
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.nonononono
Secondary indexesnonoyesyes infoalso supports composite index and range indexyes
SQL infoSupport of SQLClose to SQL99, but no user access control, stored procedures and host language bindings.SPARQL and SPARQL* as primary query language. Cypher preview.yesnoSQL-like DML and DDL statements
APIs and other access methodsJavaScript APIApache Mule
gRPC
JDBC
Kafka
OData access for BI tools
OpenCypher
RESTful HTTP API
SPARQL
JDBC
ODBC
Java API
RESTful HTTP API
TinkerPop Gremlin
RESTful HTTP API
Supported programming languagesJavaScriptC++
Java
Python
JavaGroovy
Java
Python
C
C#
Go
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresnouser defined functions and aggregatesJava Stored Procedures and User-Defined Functionsasynchronous Gremlin script jobsno
Triggersyesnoyesnono
Partitioning methods infoMethods for storing different data on different nodesnoneAutomatic shardingnoneyes infodepending on used storage backend, e.g. Cassandra and HBaseSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneMulti-source replication in MPP-ClusterWith clustering: 2 database servers on different computers operate on identical copies of a databaseyes infodepending on used storage backend, e.g. Cassandra and HBaseElectable source-replica replication per shard. Support distributed global deployment with Multi-region table feature
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoKerberos/HDFS data loadingnovia hugegraph-sparkwith Hadoop integration
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate Consistency in MPP-ClusterImmediate ConsistencyEventual ConsistencyEventual Consistency
Immediate Consistency infodepending on configuration
Foreign keys infoReferential integrityyesno infonot needed in graphsyesyes infoedges in graphno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayes infoonly for local storage and DOM-storageACIDACIDACIDconfigurable infoACID within a storage node (=shard)
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yesyes
Durability infoSupport for making data persistentyes infoby using IndexedDB, SQL.JS or proprietary FileStorageyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyesyesyes infooff heap cache
User concepts infoAccess controlnoAccess rights for users and rolesfine grained access rights according to SQL-standardUsers, roles and permissionsAccess rights for users and roles

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More resources
AlaSQLAnzoGraph DBH2HugeGraphOracle NoSQL
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