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DBMS > AnzoGraph DB vs. Apache Doris vs. Apache Pinot vs. DuckDB vs. HarperDB

System Properties Comparison AnzoGraph DB vs. Apache Doris vs. Apache Pinot vs. DuckDB vs. HarperDB

Editorial information provided by DB-Engines
NameAnzoGraph DB  Xexclude from comparisonApache Doris  Xexclude from comparisonApache Pinot  Xexclude from comparisonDuckDB  Xexclude from comparisonHarperDB  Xexclude from comparison
DescriptionScalable graph database built for online analytics and data harmonization with MPP scaling, high-performance analytical algorithms and reasoning, and virtualizationAn MPP-based analytics DBMS embracing the MySQL protocolRealtime distributed OLAP datastore, designed to answer OLAP queries with low latencyAn embeddable, in-process, column-oriented SQL OLAP RDBMSUltra-low latency distributed database with an intuitive REST API supporting NoSQL and SQL (including joins). Deployment of functions and databases simultaneously with a consolidated node-level architecture.
Primary database modelGraph DBMS
RDF store
Relational DBMSRelational DBMSRelational DBMSDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.29
Rank#303  Overall
#25  Graph DBMS
#14  RDF stores
Score0.60
Rank#247  Overall
#113  Relational DBMS
Score0.38
Rank#275  Overall
#126  Relational DBMS
Score4.63
Rank#69  Overall
#37  Relational DBMS
Score0.60
Rank#244  Overall
#38  Document stores
Websitecambridgesemantics.com/­anzographdoris.apache.org
github.com/­apache/­doris
pinot.apache.orgduckdb.orgwww.harperdb.io
Technical documentationdocs.cambridgesemantics.com/­anzograph/­userdoc/­home.htmgithub.com/­apache/­doris/­wikidocs.pinot.apache.orgduckdb.org/­docsdocs.harperdb.io/­docs
DeveloperCambridge SemanticsApache Software Foundation, originally contributed from BaiduApache Software Foundation and contributorsHarperDB
Initial release20182017201520182017
Current release2.3, January 20211.2.2, February 20231.0.0, September 20231.0.0, June 20243.1, August 2021
License infoCommercial or Open Sourcecommercial infofree trial version availableOpen Source infoApache Version 2.0Open Source infoApache Version 2.0Open Source infoMIT Licensecommercial infofree community edition available
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 languageJavaJavaC++Node.js
Server operating systemsLinuxLinuxAll OS with a Java JDK11 or higherserver-lessLinux
OS X
Data schemeSchema-free and OWL/RDFS-schema supportyesyesyesdynamic schema
Typing infopredefined data types such as float or dateyesyesyesyes infoJSON data 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.nononono
Secondary indexesnoyesyesyes
SQL infoSupport of SQLSPARQL and SPARQL* as primary query language. Cypher preview.yesSQL-like query languageyesSQL-like data manipulation statements
APIs and other access methodsApache Mule
gRPC
JDBC
Kafka
OData access for BI tools
OpenCypher
RESTful HTTP API
SPARQL
JDBC
MySQL client
JDBCArrow Database Connectivity (ADBC)
CLI Client
JDBC
ODBC
JDBC
ODBC
React Hooks
RESTful HTTP/JSON API
WebSocket
Supported programming languagesC++
Java
Python
JavaGo
Java
Python
C
C# info3rd party driver
C++
Crystal info3rd party driver
Go info3rd party driver
Java
Lisp info3rd party driver
Python
R
Ruby info3rd party driver
Rust
Swift
Zig info3rd party driver
.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
Server-side scripts infoStored proceduresuser defined functions and aggregatesuser defined functionsnoCustom Functions infosince release 3.1
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodesAutomatic shardinghorizontal partitioninghorizontal partitioningnoneA 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-Clusternonenoneyes infothe nodes on which a table resides can be defined
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 graphsnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDAtomic execution of specific operations
Concurrency infoSupport for concurrent manipulation of datayesyesyes, multi-version concurrency control (MVCC)yes
Durability infoSupport for making data persistentyesyesyesyes, using LMDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyesyes
User concepts infoAccess controlAccess rights for users and rolesfine grained access rights according to SQL-standardnoAccess rights for users and roles

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More resources
AnzoGraph DBApache DorisApache PinotDuckDBHarperDB
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