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DBMS > AnzoGraph DB vs. atoti vs. Google Cloud Bigtable vs. PlanetScale vs. TinkerGraph

System Properties Comparison AnzoGraph DB vs. atoti vs. Google Cloud Bigtable vs. PlanetScale vs. TinkerGraph

Editorial information provided by DB-Engines
NameAnzoGraph DB  Xexclude from comparisonatoti  Xexclude from comparisonGoogle Cloud Bigtable  Xexclude from comparisonPlanetScale  Xexclude from comparisonTinkerGraph  Xexclude from comparison
DescriptionScalable graph database built for online analytics and data harmonization with MPP scaling, high-performance analytical algorithms and reasoning, and virtualizationAn in-memory DBMS combining transactional and analytical processing to handle the aggregation of ever-changing data.Google's NoSQL Big Data database service. It's the same database that powers many core Google services, including Search, Analytics, Maps, and Gmail.Scalable, distributed, serverless MySQL database platform built on top of VitessA lightweight, in-memory graph engine that serves as a reference implementation of the TinkerPop3 API
Primary database modelGraph DBMS
RDF store
Object oriented DBMSKey-value store
Wide column store
Relational DBMSGraph DBMS
Secondary database modelsDocument store
Spatial 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
Score0.56
Rank#245  Overall
#10  Object oriented DBMS
Score3.26
Rank#92  Overall
#13  Key-value stores
#8  Wide column stores
Score1.59
Rank#151  Overall
#70  Relational DBMS
Score0.08
Rank#348  Overall
#35  Graph DBMS
Websitecambridgesemantics.com/­anzographatoti.iocloud.google.com/­bigtableplanetscale.comtinkerpop.apache.org/­docs/­current/­reference/­#tinkergraph-gremlin
Technical documentationdocs.cambridgesemantics.com/­anzograph/­userdoc/­home.htmdocs.atoti.iocloud.google.com/­bigtable/­docsplanetscale.com/­docs
DeveloperCambridge SemanticsActiveViamGooglePlanetScale
Initial release2018201520202009
Current release2.3, January 2021
License infoCommercial or Open Sourcecommercial infofree trial version availablecommercial infofree versions availablecommercialcommercialOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenonoyesyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaGoJava
Server operating systemsLinuxhostedDocker
Linux
macOS
Data schemeSchema-free and OWL/RDFS-schema supportschema-freeyesschema-free
Typing infopredefined data types such as float or datenoyesyes
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 indexesnonoyesno
SQL infoSupport of SQLSPARQL and SPARQL* as primary query language. Cypher preview.Multidimensional Expressions (MDX)noyes infowith proprietary extensionsno
APIs and other access methodsApache Mule
gRPC
JDBC
Kafka
OData access for BI tools
OpenCypher
RESTful HTTP API
SPARQL
gRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
ADO.NET
JDBC
MySQL protocol
ODBC
TinkerPop 3
Supported programming languagesC++
Java
Python
C#
C++
Go
Java
JavaScript (Node.js)
Python
Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
Groovy
Java
Server-side scripts infoStored proceduresuser defined functions and aggregatesPythonnoyes infoproprietary syntaxno
Triggersnonoyesno
Partitioning methods infoMethods for storing different data on different nodesAutomatic shardingSharding, horizontal partitioningShardingShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication in MPP-ClusterInternal replication in Colossus, and regional replication between two clusters in different zonesMulti-source replication
Source-replica replication
none
MapReduce infoOffers an API for user-defined Map/Reduce methodsKerberos/HDFS data loadingnoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency in MPP-ClusterImmediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)Eventual Consistency across shards
Immediate Consistency within a shard
none
Foreign keys infoReferential integrityno infonot needed in graphsnoyes infonot for MyISAM storage engineyes infoRelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDAtomic single-row operationsACID at shard levelno
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yesyes infotable locks or row locks depending on storage engineno
Durability infoSupport for making data persistentyesyesyesoptional
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesnoyesyes
User concepts infoAccess controlAccess rights for users and rolesAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)Users with fine-grained authorization concept infono user groups or rolesno

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More resources
AnzoGraph DBatotiGoogle Cloud BigtablePlanetScaleTinkerGraph
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