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DBMS > AnzoGraph DB vs. Apache Drill vs. CouchDB vs. H2 vs. ITTIA

System Properties Comparison AnzoGraph DB vs. Apache Drill vs. CouchDB vs. H2 vs. ITTIA

Editorial information provided by DB-Engines
NameAnzoGraph DB  Xexclude from comparisonApache Drill  Xexclude from comparisonCouchDB infostands for "Cluster Of Unreliable Commodity Hardware"  Xexclude from comparisonH2  Xexclude from comparisonITTIA  Xexclude from comparison
DescriptionScalable graph database built for online analytics and data harmonization with MPP scaling, high-performance analytical algorithms and reasoning, and virtualizationSchema-free SQL Query Engine for Hadoop, NoSQL and Cloud StorageA native JSON - document store inspired by Lotus Notes, scalable from globally distributed server-clusters down to mobile phones.Full-featured RDBMS with a small footprint, either embedded into a Java application or used as a database server.Edge Time Series DBMS with Real-Time Stream Processing
Primary database modelGraph DBMS
RDF store
Document store
Relational DBMS
Document storeRelational DBMSTime Series DBMS
Secondary database modelsSpatial DBMS infousing the Geocouch extensionSpatial DBMSRelational 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
Score1.90
Rank#126  Overall
#23  Document stores
#60  Relational DBMS
Score7.46
Rank#51  Overall
#7  Document stores
Score7.57
Rank#47  Overall
#30  Relational DBMS
Score0.36
Rank#272  Overall
#22  Time Series DBMS
Websitecambridgesemantics.com/­anzographdrill.apache.orgcouchdb.apache.orgwww.h2database.comwww.ittia.com
Technical documentationdocs.cambridgesemantics.com/­anzograph/­userdoc/­home.htmdrill.apache.org/­docsdocs.couchdb.org/­en/­stablewww.h2database.com/­html/­main.html
DeveloperCambridge SemanticsApache Software FoundationApache Software Foundation infoApache top-level project, originally developed by Damien Katz, a former Lotus Notes developerThomas MuellerITTIA L.L.C.
Initial release20182012200520052007
Current release2.3, January 20211.20.3, January 20233.3.3, December 20232.2.220, July 20238.7
License infoCommercial or Open Sourcecommercial infofree trial version availableOpen Source infoApache Version 2Open Source infoApache version 2Open Source infodual-licence (Mozilla public license, Eclipse public license)commercial
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageErlangJavaC and C++
Server operating systemsLinuxLinux
OS X
Windows
Android
BSD
Linux
OS X
Solaris
Windows
All OS with a Java VMLinux
Windows
Data schemeSchema-free and OWL/RDFS-schema supportschema-freeschema-freeyesFixed schema
Typing infopredefined data types such as float or dateyesnoyesFloat/Blob/Integer/String/Unicode/Date/Time/Timestamp/Interval
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.nonononono
Secondary indexesnonoyes infovia viewsyesyes
SQL infoSupport of SQLSPARQL and SPARQL* as primary query language. Cypher preview.SQL SELECT statement is SQL:2003 compliantnoyesyes
APIs and other access methodsApache Mule
gRPC
JDBC
Kafka
OData access for BI tools
OpenCypher
RESTful HTTP API
SPARQL
JDBC
ODBC
RESTful HTTP API
RESTful HTTP/JSON APIJDBC
ODBC
JDBC
ODBC
RESTful HTTP API
WebSocket
Supported programming languagesC++
Java
Python
C++C
C#
ColdFusion
Erlang
Haskell
Java
JavaScript
Lisp
Lua
Objective-C
OCaml
Perl
PHP
PL/SQL
Python
Ruby
Smalltalk
JavaC
C++
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresuser defined functions and aggregatesuser defined functionsView functions in JavaScriptJava Stored Procedures and User-Defined Functionsyes
Triggersnonoyesyesno
Partitioning methods infoMethods for storing different data on different nodesAutomatic shardingShardingSharding infoimproved architecture with release 2.0none
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication in MPP-ClusterMulti-source replication
Source-replica replication
With clustering: 2 database servers on different computers operate on identical copies of a databaseyes
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-ClusternoneEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integrityno infonot needed in graphsnonoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnono infoatomic operations within a single document possibleACIDyes
Concurrency infoSupport for concurrent manipulation of datayesyesyes infostrategy: optimistic lockingyes, multi-version concurrency control (MVCC)yes, multi-version concurrency control (MVCC)
Durability infoSupport for making data persistentyesDepending on the underlying data sourceyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesDepending on the underlying data sourcenoyesyes
User concepts infoAccess controlAccess rights for users and rolesDepending on the underlying data sourceAccess rights for users can be defined per databasefine grained access rights according to SQL-standardDatabase file passwords

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AnzoGraph DBApache DrillCouchDB infostands for "Cluster Of Unreliable Commodity Hardware"H2ITTIA
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