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DBMS > HugeGraph vs. Hypertable vs. Sadas Engine

System Properties Comparison HugeGraph vs. Hypertable vs. Sadas Engine

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Editorial information provided by DB-Engines
NameHugeGraph  Xexclude from comparisonHypertable  Xexclude from comparisonSadas Engine  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 HadoopSADAS Engine is a columnar DBMS specifically designed for high performance in Data warehouse environments
Primary database modelGraph DBMSWide column storeRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.22
Rank#283  Overall
#21  Graph DBMS
Score0.00
Rank#357  Overall
#155  Relational DBMS
Websitegithub.com/­hugegraphwww.sadasengine.com
Technical documentationhugegraph.github.io/­hugegraph-docwww.sadasengine.com/­index.php/­downloads/­documentation-columnar-db
DeveloperBaiduHypertable Inc.SADAS s.r.l.
Initial release201820092006
Current release0.90.9.8.11, March 20168.0
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoGNU version 3. Commercial license availablecommercial infofree trial version available
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++C++
Server operating systemsLinux
macOS
Unix
Linux
OS X
Windows infoan inofficial Windows port is available
AIX
Linux
Windows
Data schemeyesschema-freeyes
Typing infopredefined data types such as float or dateyesnoyes
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.nono
Secondary indexesyes infoalso supports composite index and range indexrestricted infoonly exact value or prefix value scansyes
SQL infoSupport of SQLnonoyes
APIs and other access methodsJava API
RESTful HTTP API
TinkerPop Gremlin
C++ API
Thrift
JDBC
ODBC
Proprietary protocol
Supported programming languagesGroovy
Java
Python
C++
Java
Perl
PHP
Python
Ruby
.Net
C
C#
C++
Groovy
Java
PHP
Python
Server-side scripts infoStored proceduresasynchronous Gremlin script jobsnono
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodesyes infodepending on used storage backend, e.g. Cassandra and HBaseShardinghorizontal partitioning
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 levelnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsvia hugegraph-sparkyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infoedges in graphnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes infomanaged by 'Learn by Usage'
User concepts infoAccess controlUsers, roles and permissionsnoAccess rights for users, groups and roles according to SQL-standard

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More resources
HugeGraphHypertableSadas Engine
Recent citations in the news

TimescaleDB goes distributed; implements ‘Chunking’ over ‘Sharding’ for scaling-out
22 August 2019, Packt Hub

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