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DBMS > AnzoGraph DB vs. BoltDB vs. Datomic vs. DolphinDB vs. NuoDB

System Properties Comparison AnzoGraph DB vs. BoltDB vs. Datomic vs. DolphinDB vs. NuoDB

Editorial information provided by DB-Engines
NameAnzoGraph DB  Xexclude from comparisonBoltDB  Xexclude from comparisonDatomic  Xexclude from comparisonDolphinDB  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 virtualizationAn embedded key-value store for Go.Datomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityDolphinDB is a high performance Time Series DBMS. It is integrated with an easy-to-use fully featured programming language and a high-volume high-velocity streaming analytics system. It offers operational simplicity, scalability, fault tolerance, and concurrency.NuoDB is a webscale distributed database that supports SQL and ACID transactions
Primary database modelGraph DBMS
RDF store
Key-value storeRelational DBMSTime Series DBMSRelational 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
Score0.74
Rank#220  Overall
#31  Key-value stores
Score1.59
Rank#150  Overall
#69  Relational DBMS
Score4.13
Rank#80  Overall
#6  Time Series DBMS
Score0.89
Rank#198  Overall
#92  Relational DBMS
Websitecambridgesemantics.com/­anzographgithub.com/­boltdb/­boltwww.datomic.comwww.dolphindb.comwww.3ds.com/­nuodb-distributed-sql-database
Technical documentationdocs.cambridgesemantics.com/­anzograph/­userdoc/­home.htmdocs.datomic.comdocs.dolphindb.cn/­en/­help200/­index.htmldoc.nuodb.com
DeveloperCambridge SemanticsCognitectDolphinDB, IncDassault Systèmes infooriginally NuoDB, Inc.
Initial release20182013201220182013
Current release2.3, January 20211.0.6735, June 2023v2.00.4, January 2022
License infoCommercial or Open Sourcecommercial infofree trial version availableOpen Source infoMIT Licensecommercial infolimited edition freecommercial infofree community version 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 languageGoJava, ClojureC++C++
Server operating systemsLinuxBSD
Linux
OS X
Solaris
Windows
All OS with a Java VMLinux
Windows
hosted infoAmazon EC2, Windows Azure, SoftLayer
Linux
OS X
Windows
Data schemeSchema-free and OWL/RDFS-schema supportschema-freeyesyesyes
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.nonononono
Secondary indexesnonoyesyesyes
SQL infoSupport of SQLSPARQL and SPARQL* as primary query language. Cypher preview.nonoSQL-like query languageyes
APIs and other access methodsApache Mule
gRPC
JDBC
Kafka
OData access for BI tools
OpenCypher
RESTful HTTP API
SPARQL
RESTful HTTP APIJDBC
JSON over HTTP
Kafka
MQTT (Message Queue Telemetry Transport)
ODBC
OPC DA
OPC UA
RabbitMQ
WebSocket
ADO.NET
JDBC
ODBC
Supported programming languagesC++
Java
Python
GoClojure
Java
C#
C++
Go
Java
JavaScript
MatLab
Python
R
Rust
.Net
C
C++
Go
Java
JavaScript
JavaScript (Node.js)
PHP
Python
Ruby
Server-side scripts infoStored proceduresuser defined functions and aggregatesnoyes infoTransaction FunctionsyesJava, SQL
TriggersnonoBy using transaction functionsnoyes
Partitioning methods infoMethods for storing different data on different nodesAutomatic shardingnonenone infoBut extensive use of caching in the application peershorizontal partitioningdata 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-Clusternonenone infoBut extensive use of caching in the application peersyesyes 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-ClusternoneImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityno infonot needed in graphsnononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDyesACIDyesACID infotunable commit protocol
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes infoMVCC
Durability infoSupport for making data persistentyesyesyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyes inforecommended only for testing and developmentyesyes infoTemporary table
User concepts infoAccess controlAccess rights for users and rolesnonoAdministrators, Users, GroupsStandard SQL roles/ privileges, Administrative Users

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More resources
AnzoGraph DBBoltDBDatomicDolphinDBNuoDB
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