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DBMS > AnzoGraph DB vs. MongoDB vs. Netezza vs. Redis vs. Snowflake

System Properties Comparison AnzoGraph DB vs. MongoDB vs. Netezza vs. Redis vs. Snowflake

Editorial information provided by DB-Engines
NameAnzoGraph DB  Xexclude from comparisonMongoDB  Xexclude from comparisonNetezza infoAlso called PureData System for Analytics by IBM  Xexclude from comparisonRedis  Xexclude from comparisonSnowflake  Xexclude from comparison
DescriptionScalable graph database built for online analytics and data harmonization with MPP scaling, high-performance analytical algorithms and reasoning, and virtualizationOne of the most popular document stores available both as a fully managed cloud service and for deployment on self-managed infrastructureData warehouse and analytics appliance part of IBM PureSystemsIn-memory data structure store, used as database, cache and message broker infoRedis focuses on performance so most of its design decisions prioritize high performance and very low latencies.Cloud-based data warehousing service for structured and semi-structured data
Primary database modelGraph DBMS
RDF store
Document storeRelational DBMSKey-value store infoMultiple data types and a rich set of operations, as well as configurable data expiration, eviction and persistenceRelational DBMS
Secondary database modelsSpatial DBMS
Search engine infointegrated Lucene index, currently in MongoDB Atlas only.
Document store infowith Redis Modules
Graph DBMS infowith Redis Modules
Spatial DBMS
Search engine infowith Redis Modules
Time Series DBMS infowith Redis Modules
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.34
Rank#264  Overall
#22  Graph DBMS
#12  RDF stores
Score488.22
Rank#5  Overall
#1  Document stores
Score19.24
Rank#36  Overall
#22  Relational DBMS
Score165.25
Rank#7  Overall
#1  Key-value stores
Score34.75
Rank#26  Overall
#16  Relational DBMS
Websitewww.cambridgesemantics.com/­anzographwww.mongodb.comwww.ibm.com/­products/­netezzaredis.iowww.snowflake.com
Technical documentationdocs.cambridgesemantics.com/­anzograph/­userdoc/­home.htmdocs.mongodb.com/­manualredis.io/­documentationdocs.snowflake.net/­manuals/­index.html
DeveloperCambridge SemanticsMongoDB, IncIBMSalvatore Sanfilippo infoDevelopment sponsored by Redis LabsSnowflake Computing Inc.
Initial release20182009200020092014
Current release2.3, January 20214.4.5, April 20216.2.3, May 2021
License infoCommercial or Open Sourcecommercial infofree trial version availableOpen Source infoMongoDB Inc.'s Server Side Public License v1. Prior versions were published under GNU AGPL v3.0. Commercial licenses are also available.commercialOpen Source infoBSD 3-Clause, commercial license availablecommercial
Cloud-based only infoOnly available as a cloud servicenono infoMongoDB available as DBaaS (MongoDB Atlas)nonoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
  • MongoDB Atlas: the global and fully-managed cloud database service from the makers of MongoDB. Deploy across AWS, Azure, or GCP.
  • ScaleGrid for MongoDB: Fully managed hosting for MongoDB database on AWS, Azure and DigitalOcean with high availability and SSH access on the #1 multi-cloud DBaaS.
  • ScaleGrid for Redis: Fully managed hosting for Redis on AWS, Azure and DigitalOcean with high availability and SSH access on the #1 multi-cloud DBaaS.
  • Redis Enterprise Cloud: Instantly scale and pay only for the resources you need - on any cloud - AWS, Azure or Google Cloud.
Implementation languageC++C
Server operating systemsLinuxLinux
OS X
Solaris
Windows
Linux infoincluded in applianceBSD
Linux
OS X
Windows infoported and maintained by Microsoft Open Technologies, Inc.
hosted
Data schemeSchema-free and OWL/RDFS-schema supportschema-free infoAlthough schema-free, documents of the same collection often follow the same structure. Optionally impose all or part of a schema by defining a JSON schema.yesschema-freeyes infosupport of semi-structured data formats (JSON, XML, Avro)
Typing infopredefined data types such as float or dateyes infostring, integer, double, decimal, boolean, date, object_id, geospatialyespartial infoSupported data types are strings, hashes, lists, sets and sorted sets, bit arrays, hyperloglogs and geospatial indexesyes
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.nonoyes
Secondary indexesnoyesyesyes infowith RediSearch module
SQL infoSupport of SQLSPARQL and SPARQL* as primary query language. Cypher preview.Read-only SQL queries via the MongoDB Connector for BIyesnoyes
APIs and other access methodsApache Mule
gRPC
JDBC
Kafka
OData access for BI tools
OpenCypher
RESTful HTTP API
SPARQL
proprietary protocol using JSONJDBC
ODBC
OLE DB
proprietary protocol infoRESP - REdis Serialization ProtocolCLI Client
JDBC
ODBC
Supported programming languagesC++
Java
Python
Actionscript infounofficial driver
C
C#
C++
Clojure infounofficial driver
ColdFusion infounofficial driver
D infounofficial driver
Dart infounofficial driver
Delphi infounofficial driver
Erlang
Go
Groovy infounofficial driver
Haskell
Java
JavaScript
Lisp infounofficial driver
Lua infounofficial driver
MatLab infounofficial driver
Perl
PHP
PowerShell infounofficial driver
Prolog infounofficial driver
Python
R infounofficial driver
Ruby
Rust
Scala
Smalltalk infounofficial driver
Swift
C
C++
Fortran
Java
Lua
Perl
Python
R
C
C#
C++
Clojure
Crystal
D
Dart
Elixir
Erlang
Fancy
Go
Haskell
Haxe
Java
JavaScript (Node.js)
Lisp
Lua
MatLab
Objective-C
OCaml
Pascal
Perl
PHP
Prolog
Pure Data
Python
R
Rebol
Ruby
Rust
Scala
Scheme
Smalltalk
Swift
Tcl
Visual Basic
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresuser defined functions and aggregatesJavaScriptyesLuauser defined functions
Triggersnoyes infoin MongoDB Atlas onlynono infopublish/subscribe channels provide limited trigger functionalityno infosimilar concept for controling cloud resources
Partitioning methods infoMethods for storing different data on different nodesAutomatic shardingSharding infopartitioned by hashed, ranged, or zoned sharding keysShardingShardingyes
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication in MPP-ClusterMulti-Source deployments with MongoDB Atlas Global Clusters
Source-replica replication
Source-replica replicationMulti-source replication infowith Redis Enterprise Pack
Source-replica replication infoChained replication is supported
yes
MapReduce infoOffers an API for user-defined Map/Reduce methodsKerberos/HDFS data loadingyesyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency in MPP-ClusterEventual Consistency
Immediate Consistency infocan be individually decided for each write operation
Eventual Consistency
Strong eventual consistency with CRDTs
Immediate Consistency
Foreign keys infoReferential integrityno infonot needed in graphsno infotypically not used, however similar functionality with DBRef possiblenonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDMulti-document ACID Transactions with snapshot isolationACIDOptimistic locking, atomic execution of commands blocks and scriptsACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infoData access is serialized by the serveryes
Durability infoSupport for making data persistentyesyes infooptionalyesyes infoConfigurable mechanisms for persistency via snapshots and/or operations logsyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes infoIn-memory storage engine introduced with MongoDB version 3.2yesno
User concepts infoAccess controlAccess rights for users and rolesAccess rights for users and rolesUsers with fine-grained authorization conceptSimple password-based access control infoAccess control lists and SSL are available in the commercial versionUsers with fine-grained authorization concept, user roles and pluggable authentication
More information provided by the system vendor
AnzoGraph DBMongoDBNetezza infoAlso called PureData System for Analytics by IBMRedisSnowflake
Specific characteristicsMongoDB is the leading modern, general purpose data platform, designed to unleash...
» more
The Redis real-time data platform builds upon the unmatched simplicity and speed...
» more
Competitive advantagesThe MongoDB platform can be used by developers building transactional, operational,...
» more
Redis Enterprise is a robust in-memory database platform built by the people who...
» more
Typical application scenariosInternet of Things and Time Series (Bosch, Jaguar Land Rover) Mobile (The Weather...
» more
Redis Enterprise is used by large enterprise, startup, and government organizations...
» more
Key customersADP, Adobe, Amadeus, AstraZeneca, Auto Trader, Barclays, BBVA, Bosch, Cisco, CERN,...
» more
Verizon, Vodafone, Atlassian, Trip Advisor, Jet.com, Nokia, Samsung, HTC, Docker,...
» more
Market metrics125 million downloads (growing at more than 30 thousand downloads per day), over...
» more
Most launched Docker container per day according to Docker Hub (7.2M launches per...
» more
Licensing and pricing modelsMongoDB database server: Server-Side Public License (SSPL) . Commercial licenses...
» more
Redis Enterprise Cloud lets users scale up and down instantly, and pay only for the...
» more

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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
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