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DBMS > BigObject vs. Cubrid vs. Datomic vs. DuckDB vs. Teradata Aster

System Properties Comparison BigObject vs. Cubrid vs. Datomic vs. DuckDB vs. Teradata Aster

Editorial information provided by DB-Engines
NameBigObject  Xexclude from comparisonCubrid  Xexclude from comparisonDatomic  Xexclude from comparisonDuckDB  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.
DescriptionAnalytic DBMS for real-time computations and queriesCUBRID is an open-source SQL-based relational database management system with object extensions for OLTPDatomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityAn embeddable, in-process, column-oriented SQL OLAP RDBMSPlatform for big data analytics on multistructured data sources and types
Primary database modelRelational DBMS infoa hierachical model (tree) can be imposedRelational DBMSRelational DBMSRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.19
Rank#329  Overall
#146  Relational DBMS
Score1.04
Rank#187  Overall
#87  Relational DBMS
Score1.66
Rank#144  Overall
#66  Relational DBMS
Score4.63
Rank#69  Overall
#37  Relational DBMS
Websitebigobject.iocubrid.com (korean)
cubrid.org (english)
www.datomic.comduckdb.org
Technical documentationdocs.bigobject.iocubrid.org/­manualsdocs.datomic.comduckdb.org/­docs
DeveloperBigObject, Inc.CUBRID Corporation, CUBRID FoundationCognitectTeradata
Initial release20152008201220182005
Current release11.0, January 20211.0.7075, December 20231.0.0, June 2024
License infoCommercial or Open Sourcecommercial infofree community edition availableOpen Source infoApache Version 2.0commercial infolimited edition freeOpen Source infoMIT Licensecommercial
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC, C++, JavaJava, ClojureC++
Server operating systemsLinux infodistributed as a docker-image
OS X infodistributed as a docker-image (boot2docker)
Windows infodistributed as a docker-image (boot2docker)
Linux
Windows
All OS with a Java VMserver-lessLinux
Data schemeyesyesyesyesFlexible 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 dateyesyesyesyesyes
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.nonononoyes infoin Aster File Store
Secondary indexesyesyesyesyesyes
SQL infoSupport of SQLSQL-like DML and DDL statementsyesnoyesyes
APIs and other access methodsfluentd
ODBC
RESTful HTTP API
ADO.NET
JDBC
ODBC
OLE DB
RESTful HTTP APIArrow Database Connectivity (ADBC)
CLI Client
JDBC
ODBC
ADO.NET
JDBC
ODBC
OLE DB
Supported programming languagesC
C#
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
Clojure
Java
C
C# info3rd party driver
C++
Crystal info3rd party driver
Go info3rd party driver
Java
Lisp info3rd party driver
Python
R
Ruby info3rd party driver
Rust
Swift
Zig info3rd party driver
C
C#
C++
Java
Python
R
Server-side scripts infoStored proceduresLuaJava Stored Proceduresyes infoTransaction FunctionsnoR packages
TriggersnoyesBy using transaction functionsnono
Partitioning methods infoMethods for storing different data on different nodesnonenonenone infoBut extensive use of caching in the application peersnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneSource-replica replicationnone infoBut extensive use of caching in the application peersnoneyes 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 methodsnonononoyes infoSQL Map-Reduce Framework
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integrityyes infoautomatically between fact table and dimension tablesyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayes infoRead/write lock on objects (tables, trees)yesyesyes, multi-version concurrency control (MVCC)yes
Durability infoSupport for making data persistentyesyesyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyes inforecommended only for testing and developmentyesno
User concepts infoAccess controlnofine grained access rights according to SQL-standardnonofine grained access rights according to SQL-standard

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More resources
BigObjectCubridDatomicDuckDBTeradata Aster
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