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DBMS > AgensGraph vs. CouchDB vs. Databricks vs. GBase vs. Teradata Aster

System Properties Comparison AgensGraph vs. CouchDB vs. Databricks vs. GBase vs. Teradata Aster

Editorial information provided by DB-Engines
NameAgensGraph  Xexclude from comparisonCouchDB infostands for "Cluster Of Unreliable Commodity Hardware"  Xexclude from comparisonDatabricks  Xexclude from comparisonGBase  Xexclude from comparisonTeradata Aster  Xexclude from comparison
Teradata Aster has been integrated into other Teradata systems and therefore will be removed from the DB-Engines ranking.
DescriptionMulti-model database supporting relational and graph data models and built upon PostgreSQLA native JSON - document store inspired by Lotus Notes, scalable from globally distributed server-clusters down to mobile phones.The Databricks Lakehouse Platform combines elements of data lakes and data warehouses to provide a unified view onto structured and unstructured data. It is based on Apache Spark.Widely used RDBMS in China, including analytical, transactional, distributed transactional, and cloud-native data warehousing.Platform for big data analytics on multistructured data sources and types
Primary database modelGraph DBMS
Relational DBMS
Document storeDocument store
Relational DBMS
Relational DBMSRelational DBMS
Secondary database modelsSpatial DBMS infousing the Geocouch extension
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.17
Rank#320  Overall
#29  Graph DBMS
#143  Relational DBMS
Score7.46
Rank#51  Overall
#7  Document stores
Score84.24
Rank#14  Overall
#2  Document stores
#9  Relational DBMS
Score1.11
Rank#173  Overall
#78  Relational DBMS
Websitebitnine.net/­agensgraphcouchdb.apache.orgwww.databricks.comwww.gbase.cn
Technical documentationbitnine.net/­documentationdocs.couchdb.org/­en/­stabledocs.databricks.com
DeveloperBitnine Global Inc.Apache Software Foundation infoApache top-level project, originally developed by Damien Katz, a former Lotus Notes developerDatabricksGeneral Data Technology Co., Ltd.Teradata
Initial release20162005201320042005
Current release2.1, December 20183.3.3, December 2023GBase 8a, GBase 8s, GBase 8c
License infoCommercial or Open SourceOpen Source infoApache License 2.0Open Source infoApache version 2commercialcommercialcommercial
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageCErlangC, Java, Python
Server operating systemsLinux
OS X
Windows
Android
BSD
Linux
OS X
Solaris
Windows
hostedLinuxLinux
Data schemedepending on used data modelschema-freeFlexible Schema (defined schema, partial schema, schema free)yesFlexible Schema (defined schema, partial schema, schema free) infodefined schema within the relational store; partial schema or schema free in the Aster File Store
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.nonoyesyesyes infoin Aster File Store
Secondary indexesyesyes infovia viewsyesyesyes
SQL infoSupport of SQLyesnowith Databricks SQLStandard with numerous extensionsyes
APIs and other access methodsCypher Query Language
JDBC
RESTful HTTP/JSON APIJDBC
ODBC
RESTful HTTP API
ADO.NET
C API
JDBC
ODBC
ADO.NET
JDBC
ODBC
OLE DB
Supported programming languagesC
Java
JavaScript
Python
C
C#
ColdFusion
Erlang
Haskell
Java
JavaScript
Lisp
Lua
Objective-C
OCaml
Perl
PHP
PL/SQL
Python
Ruby
Smalltalk
Python
R
Scala
C#C
C#
C++
Java
Python
R
Server-side scripts infoStored proceduresyesView functions in JavaScriptuser defined functions and aggregatesuser defined functionsR packages
Triggersnoyesyesno
Partitioning methods infoMethods for storing different data on different nodesno, but can be realized using table inheritanceSharding infoimproved architecture with release 2.0horizontal partitioning (by range, list and hash) and vertical partitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationMulti-source replication
Source-replica replication
yesyesyes infoDimension tables are replicated across all nodes in the cluster. The number of replicas for the file store can be configured.
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesyes infoSQL Map-Reduce Framework
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integrityyesnoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDno infoatomic operations within a single document possibleACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyes infostrategy: optimistic lockingyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nononono
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess rights for users can be defined per databaseyesfine grained access rights according to SQL-standard
More information provided by the system vendor
AgensGraphCouchDB infostands for "Cluster Of Unreliable Commodity Hardware"DatabricksGBaseTeradata Aster
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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More resources
AgensGraphCouchDB infostands for "Cluster Of Unreliable Commodity Hardware"DatabricksGBaseTeradata Aster
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