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DBMS > AnzoGraph DB vs. EventStoreDB vs. Google BigQuery

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

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Editorial information provided by DB-Engines
NameAnzoGraph DB  Xexclude from comparisonEventStoreDB  Xexclude from comparisonGoogle BigQuery  Xexclude from comparison
DescriptionScalable graph database built for online analytics and data harmonization with MPP scaling, high-performance analytical algorithms and reasoning, and virtualizationIndustrial-strength, open-source database solution built from the ground up for event sourcing.Large scale data warehouse service with append-only tables
Primary database modelGraph DBMS
RDF store
Event StoreRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.32
Rank#297  Overall
#24  Graph DBMS
#14  RDF stores
Score1.36
Rank#178  Overall
#1  Event Stores
Score63.63
Rank#19  Overall
#13  Relational DBMS
Websitecambridgesemantics.com/­anzographwww.eventstore.comcloud.google.com/­bigquery
Technical documentationdocs.cambridgesemantics.com/­anzograph/­userdoc/­home.htmdevelopers.eventstore.comcloud.google.com/­bigquery/­docs
DeveloperCambridge SemanticsEvent Store LimitedGoogle
Initial release201820122010
Current release2.3, January 202121.2, February 2021
License infoCommercial or Open Sourcecommercial infofree trial version availableOpen Sourcecommercial
Cloud-based only infoOnly available as a cloud servicenonoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Server operating systemsLinuxLinux
Windows
hosted
Data schemeSchema-free and OWL/RDFS-schema supportyes
Typing infopredefined data types such as float or dateyes
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.nono
Secondary indexesnono
SQL infoSupport of SQLSPARQL and SPARQL* as primary query language. Cypher preview.yes
APIs and other access methodsApache Mule
gRPC
JDBC
Kafka
OData access for BI tools
OpenCypher
RESTful HTTP API
SPARQL
RESTful HTTP/JSON API
Supported programming languagesC++
Java
Python
.Net
Java
JavaScript
Objective-C
PHP
Python
Ruby
Server-side scripts infoStored proceduresuser defined functions and aggregatesuser defined functions infoin JavaScript
Triggersnono
Partitioning methods infoMethods for storing different data on different nodesAutomatic shardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication in MPP-Cluster
MapReduce infoOffers an API for user-defined Map/Reduce methodsKerberos/HDFS data loadingno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency in MPP-ClusterImmediate Consistency
Foreign keys infoReferential integrityno infonot needed in graphsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDno infoSince BigQuery is designed for querying data
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentyesyes
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 rolesAccess privileges (owner, writer, reader) on dataset, table or view level infoGoogle Cloud Identity & Access Management (IAM)

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More resources
AnzoGraph DBEventStoreDBGoogle BigQuery
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