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DBMS > Databend vs. EDB Postgres vs. HugeGraph vs. Oracle Rdb

System Properties Comparison Databend vs. EDB Postgres vs. HugeGraph vs. Oracle Rdb

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Editorial information provided by DB-Engines
NameDatabend  Xexclude from comparisonEDB Postgres  Xexclude from comparisonHugeGraph  Xexclude from comparisonOracle Rdb  Xexclude from comparison
DescriptionAn open-source, elastic, and workload-aware cloud data warehouse designed to meet businesses' massive-scale analytics needs at low cost and with low complexityThe EDB Postgres Platform is an enterprise-class data management platform based on the open source database PostgreSQL with flexible deployment options and Oracle compatibility features, complemented by tool kits for management, integration, and migration.A fast-speed and highly-scalable Graph DBMS
Primary database modelRelational DBMSRelational DBMSGraph DBMSRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.34
Rank#283  Overall
#130  Relational DBMS
Score1.91
Rank#130  Overall
#60  Relational DBMS
Score0.17
Rank#335  Overall
#31  Graph DBMS
Score1.14
Rank#178  Overall
#80  Relational DBMS
Websitegithub.com/­datafuselabs/­databend
www.databend.com
www.enterprisedb.comgithub.com/­hugegraph
hugegraph.apache.org
www.oracle.com/­database/­technologies/­related/­rdb.html
Technical documentationdocs.databend.comwww.enterprisedb.com/­docshugegraph.apache.org/­docswww.oracle.com/­database/­technologies/­related/­rdb-doc.html
DeveloperDatabend LabsEnterpriseDBBaiduOracle, originally developed by Digital Equipment Corporation (DEC)
Initial release2021200520181984
Current release1.0.59, April 202314, December 20210.97.4.1.1, 2021
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercial infoBSD for PostgreSQL-componentsOpen Source infoApache Version 2.0commercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageRustCJava
Server operating systemshosted
Linux
macOS
Linux
Windows
Linux
macOS
Unix
HP Open VMS
Data schemeyesyesyesFlexible Schema (defined schema, partial schema, schema free)
Typing infopredefined data types such as float or dateyesyesyesyes
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.noyes infospecific XML-type available, but no XML query functionality.nono
Secondary indexesnoyesyes infoalso supports composite index and range indexyes
SQL infoSupport of SQLyesyes infostandard with numerous extensionsnoyes
APIs and other access methodsCLI Client
JDBC
RESTful HTTP API
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Java API
RESTful HTTP API
TinkerPop Gremlin
Supported programming languagesGo
Java
JavaScript (Node.js)
Python
Rust
.Net
C
C++
Delphi
Java
Perl
PHP
Python
Tcl
Groovy
Java
Python
Server-side scripts infoStored proceduresnouser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.asynchronous Gremlin script jobs
Triggersnoyesno
Partitioning methods infoMethods for storing different data on different nodesnonehorizontal partitioning infoby hash, list or rangeyes infodepending on used storage backend, e.g. Cassandra and HBase
Replication methods infoMethods for redundantly storing data on multiple nodesnoneMulti-source replicationyes infodepending on used storage backend, e.g. Cassandra and HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonovia hugegraph-sparkno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesyes infoedges in graphyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesACIDACIDyes, on a single node
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesno
User concepts infoAccess controlUsers with fine-grained authorization concept, user rolesfine grained access rights according to SQL-standardUsers, roles and permissions

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DatabendEDB PostgresHugeGraphOracle Rdb
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