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DBMS > HugeGraph vs. PouchDB vs. Sadas Engine vs. Teradata

System Properties Comparison HugeGraph vs. PouchDB vs. Sadas Engine vs. Teradata

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Editorial information provided by DB-Engines
NameHugeGraph  Xexclude from comparisonPouchDB  Xexclude from comparisonSadas Engine  Xexclude from comparisonTeradata  Xexclude from comparison
DescriptionA fast-speed and highly-scalable Graph DBMSJavaScript DBMS with an API inspired by CouchDBSADAS Engine is a columnar DBMS specifically designed for high performance in data warehouse environmentsA hybrid cloud data analytics software platform (Teradata Vantage)
Primary database modelGraph DBMSDocument storeRelational DBMSRelational DBMS
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.17
Rank#335  Overall
#31  Graph DBMS
Score2.34
Rank#112  Overall
#21  Document stores
Score0.07
Rank#373  Overall
#157  Relational DBMS
Score44.87
Rank#22  Overall
#15  Relational DBMS
Websitegithub.com/­hugegraph
hugegraph.apache.org
pouchdb.comwww.sadasengine.comwww.teradata.com
Technical documentationhugegraph.apache.org/­docspouchdb.com/­guideswww.sadasengine.com/­en/­sadas-engine-download-free-trial-and-documentation/­#documentationdocs.teradata.com
DeveloperBaiduApache Software FoundationSADAS s.r.l.Teradata
Initial release2018201220061984
Current release0.97.1.1, June 20198.0Teradata Vantage 1.0 MU2, January 2019
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Sourcecommercial infofree trial version availablecommercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaJavaScriptC++
Server operating systemsLinux
macOS
Unix
server-less, requires a JavaScript environment (browser, Node.js)AIX
Linux
Windows
hosted
Linux
Data schemeyesschema-freeyesyes
Typing infopredefined data types such as float or dateyesnoyesyes
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.nononoyes
Secondary indexesyes infoalso supports composite index and range indexyes infovia viewsyesyes infoJoin-index to prejoin tables, aggregate index, sparse index, hash index
SQL infoSupport of SQLnonoyesyes infoSQL 2016 + extensions
APIs and other access methodsJava API
RESTful HTTP API
TinkerPop Gremlin
HTTP REST infoonly for PouchDB Server
JavaScript API
JDBC
ODBC
Proprietary protocol
.NET Client API
HTTP REST
JDBC
JMS Adapter
ODBC
OLE DB
Supported programming languagesGroovy
Java
Python
JavaScript.Net
C
C#
C++
Groovy
Java
PHP
Python
C
C++
Cobol
Java (JDBC-ODBC)
Perl
PL/1
Python
R
Ruby
Server-side scripts infoStored proceduresasynchronous Gremlin script jobsView functions in JavaScriptnoyes infoUDFs, stored procedures, table functions in parallel
Triggersnoyesnoyes
Partitioning methods infoMethods for storing different data on different nodesyes infodepending on used storage backend, e.g. Cassandra and HBaseSharding infowith a proxy-based framework, named couchdb-loungehorizontal partitioningSharding infoHashing
Replication methods infoMethods for redundantly storing data on multiple nodesyes infodepending on used storage backend, e.g. Cassandra and HBaseMulti-source replication infoalso with CouchDB databases
Source-replica replication infoalso with CouchDB databases
noneMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsvia hugegraph-sparkyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyEventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infoedges in graphnoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyes infoby using IndexedDB, WebSQL or LevelDB as backendyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes infomanaged by 'Learn by Usage'yes
User concepts infoAccess controlUsers, roles and permissionsnoAccess rights for users, groups and roles according to SQL-standardfine grained access rights according to SQL-standard

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More resources
HugeGraphPouchDBSadas EngineTeradata
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