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DBMS > AnzoGraph DB vs. Apache Impala vs. CouchDB vs. eXtremeDB vs. Microsoft Azure Synapse Analytics

System Properties Comparison AnzoGraph DB vs. Apache Impala vs. CouchDB vs. eXtremeDB vs. Microsoft Azure Synapse Analytics

Editorial information provided by DB-Engines
NameAnzoGraph DB  Xexclude from comparisonApache Impala  Xexclude from comparisonCouchDB infostands for "Cluster Of Unreliable Commodity Hardware"  Xexclude from comparisoneXtremeDB  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparison
DescriptionScalable graph database built for online analytics and data harmonization with MPP scaling, high-performance analytical algorithms and reasoning, and virtualizationAnalytic DBMS for HadoopA native JSON - document store inspired by Lotus Notes, scalable from globally distributed server-clusters down to mobile phones.Natively in-memory DBMS with options for persistency, high-availability and clusteringElastic, large scale data warehouse service leveraging the broad eco-system of SQL Server
Primary database modelGraph DBMS
RDF store
Relational DBMSDocument storeRelational DBMS
Time Series DBMS
Relational DBMS
Secondary database modelsDocument storeSpatial DBMS infousing the Geocouch extension
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.23
Rank#307  Overall
#24  Graph DBMS
#13  RDF stores
Score13.77
Rank#40  Overall
#24  Relational DBMS
Score9.30
Rank#45  Overall
#7  Document stores
Score0.74
Rank#223  Overall
#103  Relational DBMS
#18  Time Series DBMS
Score20.56
Rank#31  Overall
#19  Relational DBMS
Websitecambridgesemantics.com/­anzographimpala.apache.orgcouchdb.apache.orgwww.mcobject.comazure.microsoft.com/­services/­synapse-analytics
Technical documentationdocs.cambridgesemantics.com/­anzograph/­userdoc/­home.htmimpala.apache.org/­impala-docs.htmldocs.couchdb.org/­en/­stablewww.mcobject.com/­docs/­extremedb.htmdocs.microsoft.com/­azure/­synapse-analytics
DeveloperCambridge SemanticsApache Software Foundation infoApache top-level project, originally developed by ClouderaApache Software Foundation infoApache top-level project, originally developed by Damien Katz, a former Lotus Notes developerMcObjectMicrosoft
Initial release20182013200520012016
Current release2.3, January 20214.1.0, June 20223.3.3, December 20238.2, 2021
License infoCommercial or Open Sourcecommercial infofree trial version availableOpen Source infoApache Version 2Open Source infoApache version 2commercialcommercial
Cloud-based only infoOnly available as a cloud servicenonononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++ErlangC and C++C++
Server operating systemsLinuxLinuxAndroid
BSD
Linux
OS X
Solaris
Windows
AIX
HP-UX
Linux
macOS
Solaris
Windows
hosted
Data schemeSchema-free and OWL/RDFS-schema supportyesschema-freeyesyes
Typing infopredefined data types such as float or dateyesnoyesyes
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 infosupport of XML interfaces availableno
Secondary indexesnoyesyes infovia viewsyesyes
SQL infoSupport of SQLSPARQL and SPARQL* as primary query language. Cypher preview.SQL-like DML and DDL statementsnoyes infowith the option: eXtremeSQLyes
APIs and other access methodsApache Mule
gRPC
JDBC
Kafka
OData access for BI tools
OpenCypher
RESTful HTTP API
SPARQL
JDBC
ODBC
RESTful HTTP/JSON API.NET Client API
JDBC
JNI
ODBC
Proprietary protocol
RESTful HTTP API
ADO.NET
JDBC
ODBC
Supported programming languagesC++
Java
Python
All languages supporting JDBC/ODBCC
C#
ColdFusion
Erlang
Haskell
Java
JavaScript
Lisp
Lua
Objective-C
OCaml
Perl
PHP
PL/SQL
Python
Ruby
Smalltalk
.Net
C
C#
C++
Java
Lua
Python
Scala
C#
Java
PHP
Server-side scripts infoStored proceduresuser defined functions and aggregatesyes infouser defined functions and integration of map-reduceView functions in JavaScriptyesTransact SQL
Triggersnonoyesyes infoby defining eventsno
Partitioning methods infoMethods for storing different data on different nodesAutomatic shardingShardingSharding infoimproved architecture with release 2.0horizontal partitioning / shardingSharding, horizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication in MPP-Clusterselectable replication factorMulti-source replication
Source-replica replication
Active Replication Fabric™ for IoT
Multi-source replication infoby means of eXtremeDB Cluster option
Source-replica replication infoby means of eXtremeDB High Availability option
yes
MapReduce infoOffers an API for user-defined Map/Reduce methodsKerberos/HDFS data loadingyes infoquery execution via MapReduceyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency in MPP-ClusterEventual ConsistencyEventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityno infonot needed in graphsnonoyesno infodocs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraints
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnono infoatomic operations within a single document possibleACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes infostrategy: optimistic lockingyes infoOptimistic (MVCC) and pessimistic (locking) strategies availableyes
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.yesnonoyes
User concepts infoAccess controlAccess rights for users and rolesAccess rights for users, groups and roles infobased on Apache Sentry and KerberosAccess rights for users can be defined per databaseyes
More information provided by the system vendor
AnzoGraph DBApache ImpalaCouchDB infostands for "Cluster Of Unreliable Commodity Hardware"eXtremeDBMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse
Specific characteristicseXtremeDB is an in-memory and/or persistent database system that offers an ultra-small...
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Competitive advantageseXtremeDB databases can be modeled relationally or as objects and can utilize SQL...
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Typical application scenariosIoT application across all markets: Industrial Control, Netcom, Telecom, Defense,...
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Key customersSchneider Electronics, F5 Networks, TNS, Boeing, Northrop Grumman, GoPro, ViaSat,...
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Market metricsWith hundreds of customers and over 30 million devices/applications using the product...
» more
Licensing and pricing modelsFor server use cases, there is a simple per-server license irrespective of the number...
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AnzoGraph DBApache ImpalaCouchDB infostands for "Cluster Of Unreliable Commodity Hardware"eXtremeDBMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse
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