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DBMS > BigObject vs. CouchDB vs. Datomic vs. DuckDB vs. GigaSpaces

System Properties Comparison BigObject vs. CouchDB vs. Datomic vs. DuckDB vs. GigaSpaces

Editorial information provided by DB-Engines
NameBigObject  Xexclude from comparisonCouchDB infostands for "Cluster Of Unreliable Commodity Hardware"  Xexclude from comparisonDatomic  Xexclude from comparisonDuckDB  Xexclude from comparisonGigaSpaces  Xexclude from comparison
DescriptionAnalytic DBMS for real-time computations and queriesA native JSON - document store inspired by Lotus Notes, scalable from globally distributed server-clusters down to mobile phones.Datomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityAn embeddable, in-process, column-oriented SQL OLAP RDBMSHigh performance in-memory data grid platform, powering three products: Smart Cache, Smart ODS (Operational Data Store), Smart Augmented Transactions
Primary database modelRelational DBMS infoa hierachical model (tree) can be imposedDocument storeRelational DBMSRelational DBMSDocument store
Object oriented DBMS infoValues are user defined objects
Secondary database modelsSpatial DBMS infousing the Geocouch extensionGraph DBMS
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DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.19
Rank#329  Overall
#146  Relational DBMS
Score8.30
Rank#47  Overall
#7  Document stores
Score1.66
Rank#144  Overall
#66  Relational DBMS
Score4.63
Rank#69  Overall
#37  Relational DBMS
Score1.03
Rank#188  Overall
#32  Document stores
#6  Object oriented DBMS
Websitebigobject.iocouchdb.apache.orgwww.datomic.comduckdb.orgwww.gigaspaces.com
Technical documentationdocs.bigobject.iodocs.couchdb.org/­en/­stabledocs.datomic.comduckdb.org/­docsdocs.gigaspaces.com/­latest/­landing.html
DeveloperBigObject, Inc.Apache Software Foundation infoApache top-level project, originally developed by Damien Katz, a former Lotus Notes developerCognitectGigaspaces Technologies
Initial release20152005201220182000
Current release3.3.3, December 20231.0.6735, June 20230.10, February 202415.5, September 2020
License infoCommercial or Open Sourcecommercial infofree community edition availableOpen Source infoApache version 2commercial infolimited edition freeOpen Source infoMIT LicenseOpen Source infoApache Version 2; Commercial licenses available
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageErlangJava, ClojureC++Java, C++, .Net
Server operating systemsLinux infodistributed as a docker-image
OS X infodistributed as a docker-image (boot2docker)
Windows infodistributed as a docker-image (boot2docker)
Android
BSD
Linux
OS X
Solaris
Windows
All OS with a Java VMserver-lessLinux
macOS
Solaris
Windows
Data schemeyesschema-freeyesyesschema-free
Typing infopredefined data types such as float or dateyesnoyesyesyes
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.nonononono infoXML can be used for describing objects metadata
Secondary indexesyesyes infovia viewsyesyesyes
SQL infoSupport of SQLSQL-like DML and DDL statementsnonoyesSQL-99 for query and DML statements
APIs and other access methodsfluentd
ODBC
RESTful HTTP API
RESTful HTTP/JSON APIRESTful HTTP APIArrow Database Connectivity (ADBC)
CLI Client
JDBC
ODBC
GigaSpaces LRMI
Hibernate
JCache
JDBC
JPA
ODBC
RESTful HTTP API
Spring Data
Supported programming languagesC
C#
ColdFusion
Erlang
Haskell
Java
JavaScript
Lisp
Lua
Objective-C
OCaml
Perl
PHP
PL/SQL
Python
Ruby
Smalltalk
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
.Net
C++
Java
Python
Scala
Server-side scripts infoStored proceduresLuaView functions in JavaScriptyes infoTransaction Functionsnoyes
TriggersnoyesBy using transaction functionsnoyes, event driven architecture
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infoimproved architecture with release 2.0none infoBut extensive use of caching in the application peersnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneMulti-source replication
Source-replica replication
none infoBut extensive use of caching in the application peersnoneMulti-source replication infosynchronous or asynchronous
Source-replica replication infosynchronous or asynchronous
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnonoyes infoMap-Reduce pattern can be built with XAP task executors
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneEventual ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency infoConsistency level configurable: ALL, QUORUM, ANY
Foreign keys infoReferential integrityyes infoautomatically between fact table and dimension tablesnononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanono infoatomic operations within a single document possibleACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayes infoRead/write lock on objects (tables, trees)yes infostrategy: optimistic lockingyesyes, 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 developmentyesyes
User concepts infoAccess controlnoAccess rights for users can be defined per databasenonoRole-based access control

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More resources
BigObjectCouchDB infostands for "Cluster Of Unreliable Commodity Hardware"DatomicDuckDBGigaSpaces
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