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DBMS > AnzoGraph DB vs. Dolt vs. Kuzu vs. Sequoiadb vs. Spark SQL

System Properties Comparison AnzoGraph DB vs. Dolt vs. Kuzu vs. Sequoiadb vs. Spark SQL

Editorial information provided by DB-Engines
NameAnzoGraph DB  Xexclude from comparisonDolt  Xexclude from comparisonKuzu  Xexclude from comparisonSequoiadb  Xexclude from comparisonSpark SQL  Xexclude from comparison
DescriptionScalable graph database built for online analytics and data harmonization with MPP scaling, high-performance analytical algorithms and reasoning, and virtualizationA MySQL compatible DBMS with Git-like versioning of data and schemaAn embeddable property Graph DBMS built for query speed and scalabilityNewSQL database with distributed OLTP and SQLSpark SQL is a component on top of 'Spark Core' for structured data processing
Primary database modelGraph DBMS
RDF store
Relational DBMSGraph DBMSDocument store
Relational DBMS
Relational DBMS
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.29
Rank#303  Overall
#25  Graph DBMS
#14  RDF stores
Score1.02
Rank#191  Overall
#89  Relational DBMS
Score0.00
Rank#402  Overall
#41  Graph DBMS
Score0.50
Rank#258  Overall
#41  Document stores
#120  Relational DBMS
Score18.04
Rank#33  Overall
#20  Relational DBMS
Websitecambridgesemantics.com/­anzographgithub.com/­dolthub/­dolt
www.dolthub.com
kuzudb.comwww.sequoiadb.comspark.apache.org/­sql
Technical documentationdocs.cambridgesemantics.com/­anzograph/­userdoc/­home.htmdocs.dolthub.comdocs.kuzudb.comwww.sequoiadb.com/­en/­index.php?m=Files&a=indexspark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperCambridge SemanticsDoltHub IncSequoiadb Ltd.Apache Software Foundation
Initial release20182018202220132014
Current release2.3, January 20210.4.2, May 20243.5.0 ( 2.13), September 2023
License infoCommercial or Open Sourcecommercial infofree trial version availableOpen Source infoApache Version 2.0Open Source infoMIT licenseOpen Source infoServer: AGPL; Client: Apache V2Open 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++C++Scala
Server operating systemsLinuxLinux
macOS
Windows
server-lessLinuxLinux
OS X
Windows
Data schemeSchema-free and OWL/RDFS-schema supportyesyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesyes infooid, date, timestamp, binary, regexyes
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 indexesnoyesnoyesno
SQL infoSupport of SQLSPARQL and SPARQL* as primary query language. Cypher preview.yesnoSQL-like query languageSQL-like DML and DDL statements
APIs and other access methodsApache Mule
gRPC
JDBC
Kafka
OData access for BI tools
OpenCypher
RESTful HTTP API
SPARQL
CLI Client
HTTP REST
CLI Client
Cypher Query Language
proprietary protocol using JSONJDBC
ODBC
Supported programming languagesC++
Java
Python
Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
C
C#
C++
Java
JavaScript
Python
Rust
.Net
C++
Java
PHP
Python
Java
Python
R
Scala
Server-side scripts infoStored proceduresuser defined functions and aggregatesyes infocurrently in alpha releasenoJavaScriptno
Triggersnoyesnonono
Partitioning methods infoMethods for storing different data on different nodesAutomatic shardingnonenoneShardingyes, utilizing Spark Core
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication in MPP-ClusterA database can be cloned to multiple locations and be used there in isolation. Data/schema changes can be pushed/pulled explicitly between locations.noneSource-replica replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsKerberos/HDFS data loadingnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency in MPP-ClusterImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integrityno infonot needed in graphsyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDDocument is locked during a transactionno
Concurrency infoSupport for concurrent manipulation of datayesyesyes, multi-version concurrency control (MVCC)yesyes
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.yesnonono
User concepts infoAccess controlAccess rights for users and rolesOnly one user is configurable, and must be specified in the config file at startupnosimple password-based access controlno

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More resources
AnzoGraph DBDoltKuzuSequoiadbSpark SQL
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