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DBMS > AnzoGraph DB vs. Microsoft Azure Table Storage vs. Netezza vs. QuestDB vs. TinkerGraph

System Properties Comparison AnzoGraph DB vs. Microsoft Azure Table Storage vs. Netezza vs. QuestDB vs. TinkerGraph

Editorial information provided by DB-Engines
NameAnzoGraph DB  Xexclude from comparisonMicrosoft Azure Table Storage  Xexclude from comparisonNetezza infoAlso called PureData System for Analytics by IBM  Xexclude from comparisonQuestDB  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 virtualizationA Wide Column Store for rapid development using massive semi-structured datasetsData warehouse and analytics appliance part of IBM PureSystemsA high performance open source SQL database for time series dataA lightweight, in-memory graph engine that serves as a reference implementation of the TinkerPop3 API
Primary database modelGraph DBMS
RDF store
Wide column storeRelational DBMSTime Series DBMSGraph DBMS
Secondary database modelsRelational 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
Score4.04
Rank#77  Overall
#6  Wide column stores
Score8.59
Rank#45  Overall
#29  Relational DBMS
Score2.70
Rank#105  Overall
#8  Time Series DBMS
Score0.13
Rank#345  Overall
#35  Graph DBMS
Websitecambridgesemantics.com/­anzographazure.microsoft.com/­en-us/­services/­storage/­tableswww.ibm.com/­products/­netezzaquestdb.iotinkerpop.apache.org/­docs/­current/­reference/­#tinkergraph-gremlin
Technical documentationdocs.cambridgesemantics.com/­anzograph/­userdoc/­home.htmquestdb.io/­docs
DeveloperCambridge SemanticsMicrosoftIBMQuestDB Technology Inc
Initial release20182012200020142009
Current release2.3, January 2021
License infoCommercial or Open Sourcecommercial infofree trial version availablecommercialcommercialOpen Source infoApache 2.0Open Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava (Zero-GC), C++, RustJava
Server operating systemsLinuxhostedLinux infoincluded in applianceLinux
macOS
Windows
Data schemeSchema-free and OWL/RDFS-schema supportschema-freeyesyes infoschema-free via InfluxDB Line Protocolschema-free
Typing infopredefined data types such as float or dateyesyesyesyes
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.nononono
Secondary indexesnonoyesnono
SQL infoSupport of SQLSPARQL and SPARQL* as primary query language. Cypher preview.noyesSQL with time-series extensionsno
APIs and other access methodsApache Mule
gRPC
JDBC
Kafka
OData access for BI tools
OpenCypher
RESTful HTTP API
SPARQL
RESTful HTTP APIJDBC
ODBC
OLE DB
HTTP REST
InfluxDB Line Protocol (TCP/UDP)
JDBC
PostgreSQL wire protocol
TinkerPop 3
Supported programming languagesC++
Java
Python
.Net
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
C
C++
Fortran
Java
Lua
Perl
Python
R
C infoPostgreSQL driver
C++
Go
Java
JavaScript (Node.js)
Python
Rust infoover HTTP
Groovy
Java
Server-side scripts infoStored proceduresuser defined functions and aggregatesnoyesnono
Triggersnonononono
Partitioning methods infoMethods for storing different data on different nodesAutomatic shardingSharding infoImplicit feature of the cloud serviceShardinghorizontal partitioning (by timestamps)none
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication in MPP-Clusteryes infoimplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.Source-replica replicationSource-replica replication with eventual consistencynone
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 ConsistencyImmediate Consistencynone
Foreign keys infoReferential integrityno infonot needed in graphsnononoyes infoRelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDoptimistic lockingACIDACID for single-table writesno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesno
Durability infoSupport for making data persistentyesyesyesyesoptional
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyes infothrough memory mapped filesyes
User concepts infoAccess controlAccess rights for users and rolesAccess rights based on private key authentication or shared access signaturesUsers with fine-grained authorization conceptno
More information provided by the system vendor
AnzoGraph DBMicrosoft Azure Table StorageNetezza infoAlso called PureData System for Analytics by IBMQuestDBTinkerGraph
Specific characteristicsRelational model with native time series support Column-based storage and time partitioned...
» more
Competitive advantagesHigh ingestion throughput: peak of 4M rows/sec (TSBS Benchmark) Code optimizations...
» more
Typical application scenariosFinancial tick data Industrial IoT Application Metrics Monitoring
» more
Key customersBanks & Hedge funds, Yahoo, OKX, Airbus, Aquis Exchange, Net App, Cloudera, Airtel,...
» more
Licensing and pricing modelsOpen source Apache 2.0 QuestDB Enterprise QuestDB Cloud
» more
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More resources
AnzoGraph DBMicrosoft Azure Table StorageNetezza infoAlso called PureData System for Analytics by IBMQuestDBTinkerGraph
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