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DBMS > Apache Drill vs. HugeGraph vs. OpenMLDB vs. OrientDB vs. Postgres-XL

System Properties Comparison Apache Drill vs. HugeGraph vs. OpenMLDB vs. OrientDB vs. Postgres-XL

Editorial information provided by DB-Engines
NameApache Drill  Xexclude from comparisonHugeGraph  Xexclude from comparisonOpenMLDB  Xexclude from comparisonOrientDB  Xexclude from comparisonPostgres-XL  Xexclude from comparison
DescriptionSchema-free SQL Query Engine for Hadoop, NoSQL and Cloud StorageA fast-speed and highly-scalable Graph DBMSAn open-source machine learning database that provides a feature platform for training and inferenceMulti-model DBMS (Document, Graph, Key/Value)Based on PostgreSQL enhanced with MPP and write-scale-out cluster features
Primary database modelDocument store
Relational DBMS
Graph DBMSTime Series DBMSDocument store
Graph DBMS
Key-value store
Relational DBMS
Secondary database modelsRelational DBMSDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.95
Rank#127  Overall
#23  Document stores
#60  Relational DBMS
Score0.13
Rank#336  Overall
#32  Graph DBMS
Score0.02
Rank#367  Overall
#37  Time Series DBMS
Score3.19
Rank#93  Overall
#16  Document stores
#7  Graph DBMS
#14  Key-value stores
Score0.49
Rank#256  Overall
#117  Relational DBMS
Websitedrill.apache.orggithub.com/­hugegraph
hugegraph.apache.org
openmldb.aiorientdb.orgwww.postgres-xl.org
Technical documentationdrill.apache.org/­docshugegraph.apache.org/­docsopenmldb.ai/­docs/­zh/­mainwww.orientdb.com/­docs/­last/­index.htmlwww.postgres-xl.org/­documentation
DeveloperApache Software FoundationBaidu4 Paradigm Inc.OrientDB LTD; CallidusCloud; SAP
Initial release20122018202020102014 infosince 2012, originally named StormDB
Current release1.20.3, January 20230.92024-2 February 20243.2.29, March 202410 R1, October 2018
License infoCommercial or Open SourceOpen Source infoApache Version 2Open Source infoApache Version 2.0Open SourceOpen Source infoApache version 2Open Source infoMozilla public license
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++, Java, ScalaJavaC
Server operating systemsLinux
OS X
Windows
Linux
macOS
Unix
LinuxAll OS with a Java JDK (>= JDK 6)Linux
macOS
Data schemeschema-freeyesFixed schemaschema-free infoSchema can be enforced for whole record ("schema-full") or for some fields only ("schema-hybrid")yes
Typing infopredefined data types such as float or dateyesyesyesyesyes
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.nonononoyes infoXML type, but no XML query functionality
Secondary indexesnoyes infoalso supports composite index and range indexyesyesyes
SQL infoSupport of SQLSQL SELECT statement is SQL:2003 compliantnoyesSQL-like query language, no joinsyes infodistributed, parallel query execution
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
Java API
RESTful HTTP API
TinkerPop Gremlin
JDBC
SQLAlchemy
Tinkerpop technology stack with Blueprints, Gremlin, Pipes
Java API
RESTful HTTP/JSON API
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Supported programming languagesC++Groovy
Java
Python
C++
Go
Java
Python
Scala
.Net
C
C#
C++
Clojure
Java
JavaScript
JavaScript (Node.js)
PHP
Python
Ruby
Scala
.Net
C
C++
Delphi
Erlang
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
Server-side scripts infoStored proceduresuser defined functionsasynchronous Gremlin script jobsnoJava, Javascriptuser defined functions
TriggersnononoHooksyes
Partitioning methods infoMethods for storing different data on different nodesShardingyes infodepending on used storage backend, e.g. Cassandra and HBasehorizontal partitioningShardinghorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyes infodepending on used storage backend, e.g. Cassandra and HBaseSource-replica replicationMulti-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesvia hugegraph-sparkno infocould be achieved with distributed queriesno
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneEventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyes infoedges in graphnoyes inforelationship in graphsyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnoACIDACID infoMVCC
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentDepending on the underlying data sourceyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.Depending on the underlying data sourceyesyesno
User concepts infoAccess controlDepending on the underlying data sourceUsers, roles and permissionsfine grained access rights according to SQL-standardAccess rights for users and roles; record level security configurablefine grained access rights according to SQL-standard

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More resources
Apache DrillHugeGraphOpenMLDBOrientDBPostgres-XL
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