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DBMS > AnzoGraph DB vs. Drizzle vs. Hive vs. NSDb vs. Sequoiadb

System Properties Comparison AnzoGraph DB vs. Drizzle vs. Hive vs. NSDb vs. Sequoiadb

Editorial information provided by DB-Engines
NameAnzoGraph DB  Xexclude from comparisonDrizzle  Xexclude from comparisonHive  Xexclude from comparisonNSDb  Xexclude from comparisonSequoiadb  Xexclude from comparison
Drizzle has published its last release in September 2012. The open-source project is discontinued and Drizzle is excluded from the DB-Engines ranking.
DescriptionScalable graph database built for online analytics and data harmonization with MPP scaling, high-performance analytical algorithms and reasoning, and virtualizationMySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.data warehouse software for querying and managing large distributed datasets, built on HadoopScalable, High-performance Time Series DBMS designed for Real-time Analytics on top of KubernetesNewSQL database with distributed OLTP and SQL
Primary database modelGraph DBMS
RDF store
Relational DBMSRelational DBMSTime Series DBMSDocument store
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.29
Rank#303  Overall
#25  Graph DBMS
#14  RDF stores
Score59.76
Rank#18  Overall
#12  Relational DBMS
Score0.08
Rank#369  Overall
#40  Time Series DBMS
Score0.50
Rank#258  Overall
#41  Document stores
#120  Relational DBMS
Websitecambridgesemantics.com/­anzographhive.apache.orgnsdb.iowww.sequoiadb.com
Technical documentationdocs.cambridgesemantics.com/­anzograph/­userdoc/­home.htmcwiki.apache.org/­confluence/­display/­Hive/­Homensdb.io/­Architecturewww.sequoiadb.com/­en/­index.php?m=Files&a=index
DeveloperCambridge SemanticsDrizzle project, originally started by Brian AkerApache Software Foundation infoinitially developed by FacebookSequoiadb Ltd.
Initial release20182008201220172013
Current release2.3, January 20217.2.4, September 20123.1.3, April 2022
License infoCommercial or Open Sourcecommercial infofree trial version availableOpen Source infoGNU GPLOpen Source infoApache Version 2Open Source infoApache Version 2.0Open Source infoServer: AGPL; Client: Apache V2
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 languageC++JavaJava, ScalaC++
Server operating systemsLinuxFreeBSD
Linux
OS X
All OS with a Java VMLinux
macOS
Linux
Data schemeSchema-free and OWL/RDFS-schema supportyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyes: int, bigint, decimal, stringyes infooid, date, timestamp, binary, regex
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.nonono
Secondary indexesnoyesyesall fields are automatically indexedyes
SQL infoSupport of SQLSPARQL and SPARQL* as primary query language. Cypher preview.yes infowith proprietary extensionsSQL-like DML and DDL statementsSQL-like query languageSQL-like query language
APIs and other access methodsApache Mule
gRPC
JDBC
Kafka
OData access for BI tools
OpenCypher
RESTful HTTP API
SPARQL
JDBCJDBC
ODBC
Thrift
gRPC
HTTP REST
WebSocket
proprietary protocol using JSON
Supported programming languagesC++
Java
Python
C
C++
Java
PHP
C++
Java
PHP
Python
Java
Scala
.Net
C++
Java
PHP
Python
Server-side scripts infoStored proceduresuser defined functions and aggregatesnoyes infouser defined functions and integration of map-reducenoJavaScript
Triggersnono infohooks for callbacks inside the server can be used.nono
Partitioning methods infoMethods for storing different data on different nodesAutomatic shardingShardingShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication in MPP-ClusterMulti-source replication
Source-replica replication
selectable replication factorSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsKerberos/HDFS data loadingnoyes infoquery execution via MapReducenono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency in MPP-ClusterEventual ConsistencyEventual ConsistencyEventual Consistency
Foreign keys infoReferential integrityno infonot needed in graphsyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnonoDocument is locked during a transaction
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesUsing Apache Luceneyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesno
User concepts infoAccess controlAccess rights for users and rolesPluggable authentication mechanisms infoe.g. LDAP, HTTPAccess rights for users, groups and rolessimple password-based access control

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More resources
AnzoGraph DBDrizzleHiveNSDbSequoiadb
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