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DBMS > AnzoGraph DB vs. Google BigQuery vs. Memgraph

System Properties Comparison AnzoGraph DB vs. Google BigQuery vs. Memgraph

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Editorial information provided by DB-Engines
NameAnzoGraph DB  Xexclude from comparisonGoogle BigQuery  Xexclude from comparisonMemgraph  Xexclude from comparison
DescriptionScalable graph database built for online analytics and data harmonization with MPP scaling, high-performance analytical algorithms and reasoning, and virtualizationLarge scale data warehouse service with append-only tablesAn open source graph database built for real-time streaming and compatible with Neo4j
Primary database modelGraph DBMS
RDF store
Relational DBMSGraph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.21
Rank#308  Overall
#25  Graph DBMS
#15  RDF stores
Score62.88
Rank#19  Overall
#13  Relational DBMS
Score2.54
Rank#98  Overall
#8  Graph DBMS
Websitecambridgesemantics.com/­anzographcloud.google.com/­bigquerymemgraph.com
Technical documentationdocs.cambridgesemantics.com/­anzograph/­userdoc/­home.htmcloud.google.com/­bigquery/­docsmemgraph.com/­docs
DeveloperCambridge SemanticsGoogleMemgraph Ltd
Initial release201820102017
Current release2.3, January 2021
License infoCommercial or Open Sourcecommercial infofree trial version availablecommercialOpen Source infoBSL 1.1; commercial license for enterprise edition available
Cloud-based only infoOnly available as a cloud servicenoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC and C++
Server operating systemsLinuxhostedLinux
Data schemeSchema-free and OWL/RDFS-schema supportyesschema-free and schema-optional
Typing infopredefined data types such as float or dateyesyes
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 indexesnono
SQL infoSupport of SQLSPARQL and SPARQL* as primary query language. Cypher preview.yesno
APIs and other access methodsApache Mule
gRPC
JDBC
Kafka
OData access for BI tools
OpenCypher
RESTful HTTP API
SPARQL
RESTful HTTP/JSON APIBolt protocol
Cypher query language
Supported programming languagesC++
Java
Python
.Net
Java
JavaScript
Objective-C
PHP
Python
Ruby
.Net
C
C++
Elixir
Go
Haskell
Java
JavaScript
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresuser defined functions and aggregatesuser defined functions infoin JavaScript
Triggersnono
Partitioning methods infoMethods for storing different data on different nodesAutomatic shardingnoneSharding infodynamic graph partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication in MPP-ClusterMulti-source replication using RAFT
MapReduce infoOffers an API for user-defined Map/Reduce methodsKerberos/HDFS data loadingnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency in MPP-ClusterImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityno infonot needed in graphsnoyes inforelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDno infoSince BigQuery is designed for querying dataACID infowith snapshot isolation
Concurrency infoSupport for concurrent manipulation of datayesyesyes, multi-version concurrency control (MVCC)
Durability infoSupport for making data persistentyesyesyes infowith periodic snapshot and write-ahead logging (WAL) of changes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyes
User concepts infoAccess controlAccess rights for users and rolesAccess privileges (owner, writer, reader) on dataset, table or view level infoGoogle Cloud Identity & Access Management (IAM)Users, roles and permissions

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More resources
AnzoGraph DBGoogle BigQueryMemgraph
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