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DBMS > AnzoGraph DB vs. Databricks vs. Google Cloud Datastore vs. IBM Cloudant vs. TigerGraph

System Properties Comparison AnzoGraph DB vs. Databricks vs. Google Cloud Datastore vs. IBM Cloudant vs. TigerGraph

Editorial information provided by DB-Engines
NameAnzoGraph DB  Xexclude from comparisonDatabricks  Xexclude from comparisonGoogle Cloud Datastore  Xexclude from comparisonIBM Cloudant  Xexclude from comparisonTigerGraph  Xexclude from comparison
DescriptionScalable graph database built for online analytics and data harmonization with MPP scaling, high-performance analytical algorithms and reasoning, and virtualizationThe Databricks Lakehouse Platform combines elements of data lakes and data warehouses to provide a unified view onto structured and unstructured data. It is based on Apache Spark.Automatically scaling NoSQL Database as a Service (DBaaS) on the Google Cloud PlatformDatabase as a Service offering based on Apache CouchDBA complete, distributed, parallel graph computing platform supporting web-scale data analytics in real-time
Primary database modelGraph DBMS
RDF store
Document store
Relational DBMS
Document storeDocument storeGraph 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
Score78.61
Rank#15  Overall
#2  Document stores
#10  Relational DBMS
Score4.47
Rank#76  Overall
#12  Document stores
Score2.68
Rank#106  Overall
#20  Document stores
Score1.83
Rank#139  Overall
#13  Graph DBMS
Websitecambridgesemantics.com/­anzographwww.databricks.comcloud.google.com/­datastorewww.ibm.com/­products/­cloudantwww.tigergraph.com
Technical documentationdocs.cambridgesemantics.com/­anzograph/­userdoc/­home.htmdocs.databricks.comcloud.google.com/­datastore/­docscloud.ibm.com/­docs/­Cloudantdocs.tigergraph.com
DeveloperCambridge SemanticsDatabricksGoogleIBM, Apache Software Foundation infoIBM acquired Cloudant in February 2014
Initial release20182013200820102017
Current release2.3, January 2021
License infoCommercial or Open Sourcecommercial infofree trial version availablecommercialcommercialcommercialcommercial
Cloud-based only infoOnly available as a cloud servicenoyesyesyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageErlangC++
Server operating systemsLinuxhostedhostedhostedLinux
Data schemeSchema-free and OWL/RDFS-schema supportFlexible Schema (defined schema, partial schema, schema free)schema-freeschema-freeyes
Typing infopredefined data types such as float or dateyes, details herenoyes
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.noyesnonono
Secondary indexesnoyesyesyes
SQL infoSupport of SQLSPARQL and SPARQL* as primary query language. Cypher preview.with Databricks SQLSQL-like query language (GQL)noSQL-like query language (GSQL)
APIs and other access methodsApache Mule
gRPC
JDBC
Kafka
OData access for BI tools
OpenCypher
RESTful HTTP API
SPARQL
JDBC
ODBC
RESTful HTTP API
gRPC (using protocol buffers) API
RESTful HTTP/JSON API
RESTful HTTP/JSON APIGSQL (TigerGraph Query Language)
Kafka
RESTful HTTP/JSON API
Supported programming languagesC++
Java
Python
Python
R
Scala
.Net
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
C#
Java
JavaScript
Objective-C
PHP
Ruby
C++
Java
Server-side scripts infoStored proceduresuser defined functions and aggregatesuser defined functions and aggregatesusing Google App EngineView functions (Map-Reduce) in JavaScriptyes
TriggersnoCallbacks using the Google Apps Engineyesno
Partitioning methods infoMethods for storing different data on different nodesAutomatic shardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication in MPP-ClusteryesMulti-source replication using PaxosMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsKerberos/HDFS data loadingyes infousing Google Cloud Dataflowyesyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency in MPP-ClusterImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on type of query and configuration infoStrong Consistency is default for entity lookups and queries within an Entity Group (but can instead be made eventually consistent). Other queries are always eventual consistent.Eventual Consistency
Foreign keys infoReferential integrityno infonot needed in graphsyes infovia ReferenceProperties or Ancestor pathsnoyes infoRelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACID infoSerializable Isolation within Transactions, Read Committed outside of Transactionsno infoatomic operations within a document possibleACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infoOptimistic lockingyes
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.yesnononono
User concepts infoAccess controlAccess rights for users and rolesAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)Access rights for users can be defined per databaseRole-based access control
More information provided by the system vendor
AnzoGraph DBDatabricksGoogle Cloud DatastoreIBM CloudantTigerGraph
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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AnzoGraph DBDatabricksGoogle Cloud DatastoreIBM CloudantTigerGraph
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