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

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

Editorial information provided by DB-Engines
NameAnzoGraph DB  Xexclude from comparisonApache Drill  Xexclude from comparisonH2  Xexclude from comparisonHarperDB  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 StorageFull-featured RDBMS with a small footprint, either embedded into a Java application or used as a database server.HarperDB takes the "stack" out of "tech stack" by combining an ultra-fast document-style data store, in-memory cache, real-time message broker, and your application components into a single distributed technology.Edge Time Series DBMS with Real-Time Stream Processing
Primary database modelGraph DBMS
RDF store
Document store
Relational DBMS
Relational DBMSDocument storeTime Series DBMS
Secondary database modelsSpatial 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
Score7.57
Rank#47  Overall
#30  Relational DBMS
Score0.55
Rank#243  Overall
#38  Document stores
Score0.36
Rank#272  Overall
#22  Time Series DBMS
Websitecambridgesemantics.com/­anzographdrill.apache.orgwww.h2database.comwww.harperdb.iowww.ittia.com
Technical documentationdocs.cambridgesemantics.com/­anzograph/­userdoc/­home.htmdrill.apache.org/­docswww.h2database.com/­html/­main.htmldocs.harperdb.io/­docs
DeveloperCambridge SemanticsApache Software FoundationThomas MuellerHarperDBITTIA L.L.C.
Initial release20182012200520172007
Current release2.3, January 20211.20.3, January 20232.2.220, July 20233.1, August 20218.7
License infoCommercial or Open Sourcecommercial infofree trial version availableOpen Source infoApache Version 2Open Source infodual-licence (Mozilla public license, Eclipse public license)commercial infofree community edition availablecommercial
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaNode.jsC and C++
Server operating systemsLinuxLinux
OS X
Windows
All OS with a Java VMLinux
OS X
Linux
Windows
Data schemeSchema-free and OWL/RDFS-schema supportschema-freeyesdynamic schemaFixed schema
Typing infopredefined data types such as float or dateyesyesyes infoJSON data typesFloat/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 indexesnonoyesyesyes
SQL infoSupport of SQLSPARQL and SPARQL* as primary query language. Cypher preview.SQL SELECT statement is SQL:2003 compliantyesSQL-like data manipulation statementsyes
APIs and other access methodsApache Mule
gRPC
JDBC
Kafka
OData access for BI tools
OpenCypher
RESTful HTTP API
SPARQL
JDBC
ODBC
RESTful HTTP API
JDBC
ODBC
JDBC
ODBC
React Hooks
RESTful HTTP/JSON API
WebSocket
JDBC
ODBC
RESTful HTTP API
WebSocket
Supported programming languagesC++
Java
Python
C++Java.Net
C
C#
C++
ColdFusion
D
Dart
Delphi
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Lisp
MatLab
Objective C
Perl
PHP
PowerShell
Prolog
Python
R
Ruby
Rust
Scala
Swift
C
C++
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresuser defined functions and aggregatesuser defined functionsJava Stored Procedures and User-Defined FunctionsCustom Functions infosince release 3.1yes
Triggersnonoyesnono
Partitioning methods infoMethods for storing different data on different nodesAutomatic shardingShardingnoneA table resides as a whole on one (or more) nodes in a cluster
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication in MPP-ClusterWith clustering: 2 database servers on different computers operate on identical copies of a databaseyes infothe nodes on which a table resides can be definedyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsKerberos/HDFS data loadingyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency in MPP-ClusternoneImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityno infonot needed in graphsnoyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDAtomic execution of specific operationsyes
Concurrency infoSupport for concurrent manipulation of datayesyesyes, multi-version concurrency control (MVCC)yesyes, multi-version concurrency control (MVCC)
Durability infoSupport for making data persistentyesDepending on the underlying data sourceyesyes, using LMDByes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesDepending on the underlying data sourceyesyesyes
User concepts infoAccess controlAccess rights for users and rolesDepending on the underlying data sourcefine grained access rights according to SQL-standardAccess rights for users and rolesDatabase file passwords

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More resources
AnzoGraph DBApache DrillH2HarperDBITTIA
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