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DBMS > HugeGraph vs. Hypertable vs. LevelDB vs. Microsoft Azure Cosmos DB vs. PostgreSQL

System Properties Comparison HugeGraph vs. Hypertable vs. LevelDB vs. Microsoft Azure Cosmos DB vs. PostgreSQL

Editorial information provided by DB-Engines
NameHugeGraph  Xexclude from comparisonHypertable  Xexclude from comparisonLevelDB  Xexclude from comparisonMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDB  Xexclude from comparisonPostgreSQL  Xexclude from comparison
Hypertable has stopped its further development with March 2016 and is removed from the DB-Engines ranking.
DescriptionA fast-speed and highly-scalable Graph DBMSAn open source BigTable implementation based on distributed file systems such as HadoopEmbeddable fast key-value storage library that provides an ordered mapping from string keys to string valuesGlobally distributed, horizontally scalable, multi-model database serviceWidely used open source RDBMS infoDeveloped as objectoriented DBMS (Postgres), gradually enhanced with 'standards' like SQL
Primary database modelGraph DBMSWide column storeKey-value storeDocument store
Graph DBMS
Key-value store
Wide column store
Relational DBMS infowith object oriented extensions, e.g.: user defined types/functions and inheritance. Handling of key/value pairs with hstore module.
Secondary database modelsSpatial DBMSDocument store
Graph DBMS infowith Apache Age
Spatial DBMS
Vector DBMS infowith pgvector extension
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.13
Rank#336  Overall
#32  Graph DBMS
Score2.35
Rank#111  Overall
#19  Key-value stores
Score29.04
Rank#27  Overall
#4  Document stores
#2  Graph DBMS
#3  Key-value stores
#3  Wide column stores
Score645.54
Rank#4  Overall
#4  Relational DBMS
Websitegithub.com/­hugegraph
hugegraph.apache.org
github.com/­google/­leveldbazure.microsoft.com/­services/­cosmos-dbwww.postgresql.org
Technical documentationhugegraph.apache.org/­docsgithub.com/­google/­leveldb/­blob/­main/­doc/­index.mdlearn.microsoft.com/­azure/­cosmos-dbwww.postgresql.org/­docs
DeveloperBaiduHypertable Inc.GoogleMicrosoftPostgreSQL Global Development Group infowww.postgresql.org/­developer
Initial release20182009201120141989 info1989: Postgres, 1996: PostgreSQL
Current release0.90.9.8.11, March 20161.23, February 202116.3, May 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoGNU version 3. Commercial license availableOpen Source infoBSDcommercialOpen Source infoBSD
Cloud-based only infoOnly available as a cloud servicenononoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++C++C
Server operating systemsLinux
macOS
Unix
Linux
OS X
Windows infoan inofficial Windows port is available
Illumos
Linux
OS X
Windows
hostedFreeBSD
HP-UX
Linux
NetBSD
OpenBSD
OS X
Solaris
Unix
Windows
Data schemeyesschema-freeschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesnonoyes infoJSON typesyes
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.nonoyes infospecific XML-type available, but no XML query functionality.
Secondary indexesyes infoalso supports composite index and range indexrestricted infoonly exact value or prefix value scansnoyes infoAll properties auto-indexed by defaultyes
SQL infoSupport of SQLnononoSQL-like query languageyes infostandard with numerous extensions
APIs and other access methodsJava API
RESTful HTTP API
TinkerPop Gremlin
C++ API
Thrift
DocumentDB API
Graph API (Gremlin)
MongoDB API
RESTful HTTP API
Table API
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Supported programming languagesGroovy
Java
Python
C++
Java
Perl
PHP
Python
Ruby
C++
Go
Java info3rd party binding
JavaScript (Node.js) info3rd party binding
Python info3rd party binding
.Net
C#
Java
JavaScript
JavaScript (Node.js)
MongoDB client drivers written for various programming languages
Python
.Net
C
C++
Delphi
Java infoJDBC
JavaScript (Node.js)
Perl
PHP
Python
Tcl
Server-side scripts infoStored proceduresasynchronous Gremlin script jobsnonoJavaScriptuser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.
TriggersnononoJavaScriptyes
Partitioning methods infoMethods for storing different data on different nodesyes infodepending on used storage backend, e.g. Cassandra and HBaseShardingnoneSharding infoImplicit feature of the cloud servicepartitioning by range, list and (since PostgreSQL 11) by hash
Replication methods infoMethods for redundantly storing data on multiple nodesyes infodepending on used storage backend, e.g. Cassandra and HBaseselectable replication factor on file system levelnoneyes infoImplicit feature of the cloud serviceSource-replica replication infoother methods possible by using 3rd party extensions
MapReduce infoOffers an API for user-defined Map/Reduce methodsvia hugegraph-sparkyesnowith Hadoop integration infoIntegration with Hadoop/HDInsight on Azure*no
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyImmediate ConsistencyBounded Staleness
Consistent Prefix
Eventual Consistency
Immediate Consistency infoConsistency level configurable on request level
Session Consistency
Immediate Consistency
Foreign keys infoReferential integrityyes infoedges in graphnononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnonoMulti-item ACID transactions with snapshot isolation within a partitionACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyes infowith automatic compression on writesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesno
User concepts infoAccess controlUsers, roles and permissionsnonoAccess rights can be defined down to the item levelfine grained access rights according to SQL-standard

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