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DBMS > BigObject vs. CockroachDB vs. Greenplum

System Properties Comparison BigObject vs. CockroachDB vs. Greenplum

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Editorial information provided by DB-Engines
NameBigObject  Xexclude from comparisonCockroachDB  Xexclude from comparisonGreenplum  Xexclude from comparison
DescriptionAnalytic DBMS for real-time computations and queriesCockroachDB is a distributed database architected for modern cloud applications. It is wire compatible with PostgreSQL and backed by a Key-Value Store, which is either RocksDB or a purpose-built derivative, called Pebble.Analytic Database platform built on PostgreSQL. Full name is Pivotal Greenplum Database infoA logical database in Greenplum is an array of individual PostgreSQL databases working together to present a single database image.
Primary database modelRelational DBMS infoa hierachical model (tree) can be imposedRelational DBMSRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.14
Rank#333  Overall
#145  Relational DBMS
Score3.90
Rank#68  Overall
#36  Relational DBMS
Score7.08
Rank#48  Overall
#30  Relational DBMS
Websitebigobject.iowww.cockroachlabs.comgreenplum.org
Technical documentationdocs.bigobject.iowww.cockroachlabs.com/­docsdocs.greenplum.org
DeveloperBigObject, Inc.Cockroach LabsPivotal Software Inc.
Initial release201520152005
Current release24.1.0, May 20247.0.0, September 2023
License infoCommercial or Open Sourcecommercial infofree community edition availableOpen Source infoApache 2.0, commercial license availablecommercial infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGo
Server operating systemsLinux infodistributed as a docker-image
OS X infodistributed as a docker-image (boot2docker)
Windows infodistributed as a docker-image (boot2docker)
Linux
macOS
Windows
Linux
Data schemeyesdynamic schemayes
Typing infopredefined data types such as float or dateyesyesyes
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.nonoyes infosince Version 4.2
Secondary indexesyesyesyes
SQL infoSupport of SQLSQL-like DML and DDL statementsyes, wire compatible with PostgreSQLyes
APIs and other access methodsfluentd
ODBC
RESTful HTTP API
JDBCJDBC
ODBC
Supported programming languagesC#
C++
Clojure
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Rust
C
Java
Perl
Python
R
Server-side scripts infoStored proceduresLuanoyes
Triggersnonoyes
Partitioning methods infoMethods for storing different data on different nodesnonehorizontal partitioning (by key range) infoall tables are translated to an ordered KV store and then broken down into 64MB ranges, which are then used as replicas in RAFTSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneMulti-source replication using RAFTSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infoautomatically between fact table and dimension tablesyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACID
Concurrency infoSupport for concurrent manipulation of datayes infoRead/write lock on objects (tables, trees)yesyes
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.yesnono
User concepts infoAccess controlnoRole-based access controlfine grained access rights according to SQL-standard

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More resources
BigObjectCockroachDBGreenplum
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