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DBMS > AnzoGraph DB vs. Apache Druid vs. Axibase vs. Google Cloud Firestore vs. Netezza

System Properties Comparison AnzoGraph DB vs. Apache Druid vs. Axibase vs. Google Cloud Firestore vs. Netezza

Editorial information provided by DB-Engines
NameAnzoGraph DB  Xexclude from comparisonApache Druid  Xexclude from comparisonAxibase  Xexclude from comparisonGoogle Cloud Firestore  Xexclude from comparisonNetezza infoAlso called PureData System for Analytics by IBM  Xexclude from comparison
DescriptionScalable graph database built for online analytics and data harmonization with MPP scaling, high-performance analytical algorithms and reasoning, and virtualizationOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality dataScalable TimeSeries DBMS based on HBase with integrated rule engine and visualizationCloud Firestore is an auto-scaling document database for storing, syncing, and querying data for mobile and web apps. It offers seamless integration with other Firebase and Google Cloud Platform products.Data warehouse and analytics appliance part of IBM PureSystems
Primary database modelGraph DBMS
RDF store
Relational DBMS
Time Series DBMS
Time Series DBMSDocument storeRelational 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
Score3.25
Rank#90  Overall
#47  Relational DBMS
#7  Time Series DBMS
Score0.35
Rank#282  Overall
#25  Time Series DBMS
Score7.36
Rank#53  Overall
#9  Document stores
Score8.59
Rank#45  Overall
#29  Relational DBMS
Websitecambridgesemantics.com/­anzographdruid.apache.orgaxibase.com/­docs/­atsd/­financefirebase.google.com/­products/­firestorewww.ibm.com/­products/­netezza
Technical documentationdocs.cambridgesemantics.com/­anzograph/­userdoc/­home.htmdruid.apache.org/­docs/­latest/­designfirebase.google.com/­docs/­firestore
DeveloperCambridge SemanticsApache Software Foundation and contributorsAxibase CorporationGoogleIBM
Initial release20182012201320172000
Current release2.3, January 202129.0.1, April 202415585
License infoCommercial or Open Sourcecommercial infofree trial version availableOpen Source infoApache license v2commercial infoCommunity Edition (single node) is free, Enterprise Edition (distributed) is paidcommercialcommercial
Cloud-based only infoOnly available as a cloud servicenononoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJava
Server operating systemsLinuxLinux
OS X
Unix
LinuxhostedLinux infoincluded in appliance
Data schemeSchema-free and OWL/RDFS-schema supportyes infoschema-less columns are supportedyesschema-freeyes
Typing infopredefined data types such as float or dateyesyes infoshort, integer, long, float, double, decimal, stringyesyes
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 indexesnoyesnoyesyes
SQL infoSupport of SQLSPARQL and SPARQL* as primary query language. Cypher preview.SQL for queryingSQL-like query languagenoyes
APIs and other access methodsApache Mule
gRPC
JDBC
Kafka
OData access for BI tools
OpenCypher
RESTful HTTP API
SPARQL
JDBC
RESTful HTTP/JSON API
JDBC
Proprietary protocol (Network API)
RESTful HTTP API
Android
gRPC (using protocol buffers) API
iOS
JavaScript API
RESTful HTTP API
JDBC
ODBC
OLE DB
Supported programming languagesC++
Java
Python
Clojure
JavaScript
PHP
Python
R
Ruby
Scala
Go
Java
PHP
Python
R
Ruby
Go
Java
JavaScript
JavaScript (Node.js)
Objective-C
Python
C
C++
Fortran
Java
Lua
Perl
Python
R
Server-side scripts infoStored proceduresuser defined functions and aggregatesnoyesyes, Firebase Rules & Cloud Functionsyes
Triggersnonoyesyes, with Cloud Functionsno
Partitioning methods infoMethods for storing different data on different nodesAutomatic shardingSharding infomanual/auto, time-basedShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication in MPP-Clusteryes, via HDFS, S3 or other storage enginesSource-replica replicationMulti-source replicationSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsKerberos/HDFS data loadingnoyesUsing Cloud Dataflowyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency in MPP-ClusterImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityno infonot needed in graphsnononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnonoyesACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
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.yesno
User concepts infoAccess controlAccess rights for users and rolesRBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemAccess rights for users, groups and roles based on Google Cloud Identity and Access Management. Security Rules for 3rd party authentication using Firebase Auth.Users with fine-grained authorization concept

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More resources
AnzoGraph DBApache DruidAxibaseGoogle Cloud FirestoreNetezza infoAlso called PureData System for Analytics by IBM
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