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DBMS > AnzoGraph DB vs. Informix vs. ObjectBox vs. SQream DB

System Properties Comparison AnzoGraph DB vs. Informix vs. ObjectBox vs. SQream DB

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Editorial information provided by DB-Engines
NameAnzoGraph DB  Xexclude from comparisonInformix  Xexclude from comparisonObjectBox  Xexclude from comparisonSQream DB  Xexclude from comparison
DescriptionScalable graph database built for online analytics and data harmonization with MPP scaling, high-performance analytical algorithms and reasoning, and virtualizationA secure embeddable database from IBM, positioned besides IBM Db2 as a relatively low-cost product optimized for OLTP and Internet of Things dataLightweight, fast on-device database for IoT, Mobile and Embedded devices, persisting and synchronising objects and vectorsa GPU-based, columnar RDBMS for big data analytics workloads
Primary database modelGraph DBMS
RDF store
Relational DBMS infoSince Version 12.10 support for JSON/BSON datatypes compatible with MongoDBObject oriented DBMS
Vector DBMS
Relational DBMS
Secondary database modelsDocument store
Spatial DBMS
Time Series DBMS infowith Informix TimeSeries Extension
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.22
Rank#302  Overall
#24  Graph DBMS
#13  RDF stores
Score16.32
Rank#35  Overall
#21  Relational DBMS
Score1.08
Rank#179  Overall
#6  Object oriented DBMS
#9  Vector DBMS
Score0.62
Rank#234  Overall
#109  Relational DBMS
Websitecambridgesemantics.com/­anzographwww.ibm.com/­products/­informixgithub.com/­objectbox
objectbox.io
sqream.com
Technical documentationdocs.cambridgesemantics.com/­anzograph/­userdoc/­home.htminformix.hcldoc.com
www.ibm.com/­support/­knowledgecenter/­SSGU8G/­welcomeIfxServers.html
docs.objectbox.iodocs.sqream.com
DeveloperCambridge SemanticsIBM, HCL Technologies infoEffective May 1st, 2017, HCL took on development, technical support, and product management teams, and works jointly with IBM on product strategy, marketing, and sales.ObjectBox LimitedSQream Technologies
Initial release2018198420172017
Current release2.3, January 202114.10.FC5, November 20204.0 (May 2024)2022.1.6, December 2022
License infoCommercial or Open Sourcecommercial infofree trial version availablecommercial infofree developer edition availableBindings are released under Apache 2.0 infoApache License 2.0commercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC, C++ and JavaC and C++C++, CUDA, Haskell, Java, Scala
Server operating systemsLinuxAIX
HP-UX
Linux
macOS
Solaris
Windows
Android
Any POSIX system
Docker
iOS
Linux
macOS
QNX
Windows
Linux
Data schemeSchema-free and OWL/RDFS-schema supportyesyesyes
Typing infopredefined data types such as float or dateyes infoSince Version 12.10 support for JSON/BSON datatypesyes, plus "flex" map-like typesyes, ANSI Standard SQL Types
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.nono
Secondary indexesnoyesyesno
SQL infoSupport of SQLSPARQL and SPARQL* as primary query language. Cypher preview.yesnoyes
APIs and other access methodsApache Mule
gRPC
JDBC
Kafka
OData access for BI tools
OpenCypher
RESTful HTTP API
SPARQL
JDBC
JSON API infoMongoDB compatible
MQTT (Message Queue Telemetry Transport)
ODBC
RESTful HTTP API
Proprietary native API.Net
JDBC
ODBC
Supported programming languagesC++
Java
Python
.Net
C
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
C
C++
Dart (Flutter)
Go
Java
Kotlin
Python
Swift
C++
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresuser defined functions and aggregatesyesnouser defined functions in Python
Triggersnoyesnono
Partitioning methods infoMethods for storing different data on different nodesAutomatic shardingShardingnonehorizontal and vertical partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication in MPP-ClusterMulti-source replication
Source-replica replication
Data sync between devices allowing occasional connected databases to work completely offlinenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsKerberos/HDFS data loadingnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency in MPP-ClusterImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityno infonot needed in graphsyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesno
User concepts infoAccess controlAccess rights for users and rolesUsers with fine-grained authentication, authorization, and auditing controlsyes
More information provided by the system vendor
AnzoGraph DBInformixObjectBoxSQream DB
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More resources
AnzoGraph DBInformixObjectBoxSQream DB
Recent citations in the news

AnzoGraph: A graph database for deep analytics
15 April 2019, InfoWorld

Cambridge Semantics Unveils AnzoGraph DB with Geospatial Analytics
19 June 2020, Solutions Review

AnzoGraph: A W3C Standards-Based Graph Database | by Jo Stichbury
8 February 2019, Towards Data Science

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23 January 2020, Solutions Review

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24 June 2020, SiliconANGLE News

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