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DBMS > AnzoGraph DB vs. etcd vs. H2 vs. Hazelcast vs. NuoDB

System Properties Comparison AnzoGraph DB vs. etcd vs. H2 vs. Hazelcast vs. NuoDB

Editorial information provided by DB-Engines
NameAnzoGraph DB  Xexclude from comparisonetcd  Xexclude from comparisonH2  Xexclude from comparisonHazelcast  Xexclude from comparisonNuoDB  Xexclude from comparison
DescriptionScalable graph database built for online analytics and data harmonization with MPP scaling, high-performance analytical algorithms and reasoning, and virtualizationA distributed reliable key-value storeFull-featured RDBMS with a small footprint, either embedded into a Java application or used as a database server.A widely adopted in-memory data gridNuoDB is a webscale distributed database that supports SQL and ACID transactions
Primary database modelGraph DBMS
RDF store
Key-value storeRelational DBMSKey-value storeRelational DBMS
Secondary database modelsSpatial DBMSDocument store infoJSON support with IMDG 3.12
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.29
Rank#303  Overall
#25  Graph DBMS
#14  RDF stores
Score7.03
Rank#54  Overall
#5  Key-value stores
Score8.33
Rank#46  Overall
#30  Relational DBMS
Score5.46
Rank#61  Overall
#7  Key-value stores
Score0.94
Rank#197  Overall
#92  Relational DBMS
Websitecambridgesemantics.com/­anzographetcd.io
github.com/­etcd-io/­etcd
www.h2database.comhazelcast.comwww.3ds.com/­nuodb-distributed-sql-database
Technical documentationdocs.cambridgesemantics.com/­anzograph/­userdoc/­home.htmetcd.io/­docs
github.com/­etcd-io/­etcd/­tree/­master/­Documentation
www.h2database.com/­html/­main.htmlhazelcast.org/­imdg/­docsdoc.nuodb.com
DeveloperCambridge SemanticsThomas MuellerHazelcastDassault Systèmes infooriginally NuoDB, Inc.
Initial release2018200520082013
Current release2.3, January 20213.4, August 20192.2.220, July 20235.3.6, November 2023
License infoCommercial or Open Sourcecommercial infofree trial version availableOpen Source infoApache Version 2.0Open Source infodual-licence (Mozilla public license, Eclipse public license)Open Source infoApache Version 2; commercial licenses availablecommercial infolimited edition free
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 languageGoJavaJavaC++
Server operating systemsLinuxFreeBSD
Linux
Windows infoexperimental
All OS with a Java VMAll OS with a Java VMhosted infoAmazon EC2, Windows Azure, SoftLayer
Linux
OS X
Windows
Data schemeSchema-free and OWL/RDFS-schema supportschema-freeyesschema-freeyes
Typing infopredefined data types such as float or datenoyesyesyes
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.nononoyes infothe object must implement a serialization strategyno
Secondary indexesnonoyesyesyes
SQL infoSupport of SQLSPARQL and SPARQL* as primary query language. Cypher preview.noyesSQL-like query languageyes
APIs and other access methodsApache Mule
gRPC
JDBC
Kafka
OData access for BI tools
OpenCypher
RESTful HTTP API
SPARQL
gRPC
JSON over HTTP
JDBC
ODBC
JCache
JPA
Memcached protocol
RESTful HTTP API
ADO.NET
JDBC
ODBC
Supported programming languagesC++
Java
Python
.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Rust
Scala
Tcl
Java.Net
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
Python
Scala
.Net
C
C++
Go
Java
JavaScript
JavaScript (Node.js)
PHP
Python
Ruby
Server-side scripts infoStored proceduresuser defined functions and aggregatesnoJava Stored Procedures and User-Defined Functionsyes infoEvent Listeners, Executor ServicesJava, SQL
Triggersnoyes, watching key changesyesyes infoEventsyes
Partitioning methods infoMethods for storing different data on different nodesAutomatic shardingnoneShardingdata is dynamically stored/cached on the nodes where it is read/written
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication in MPP-ClusterUsing Raft consensus algorithm to ensure data replication with strong consistency among multiple replicas.With clustering: 2 database servers on different computers operate on identical copies of a databaseyes infoReplicated Mapyes infoManaged transparently by NuoDB
MapReduce infoOffers an API for user-defined Map/Reduce methodsKerberos/HDFS data loadingnonoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency in MPP-ClusterImmediate ConsistencyImmediate ConsistencyImmediate Consistency or Eventual Consistency selectable by user infoRaft Consensus AlgorithmImmediate Consistency
Foreign keys infoReferential integrityno infonot needed in graphsnoyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDone or two-phase-commit; repeatable reads; read commitedACID infotunable commit protocol
Concurrency infoSupport for concurrent manipulation of datayesyesyes, multi-version concurrency control (MVCC)yesyes infoMVCC
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyesyesyes infoTemporary table
User concepts infoAccess controlAccess rights for users and rolesnofine grained access rights according to SQL-standardRole-based access controlStandard SQL roles/ privileges, Administrative Users

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More resources
AnzoGraph DBetcdH2HazelcastNuoDB
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