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DBMS > Apache Cassandra vs. Databend vs. Greenplum

System Properties Comparison Apache Cassandra vs. Databend vs. Greenplum

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Editorial information provided by DB-Engines
NameApache Cassandra  Xexclude from comparisonDatabend  Xexclude from comparisonGreenplum  Xexclude from comparison
DescriptionWide-column store based on ideas of BigTable and DynamoDB infoOptimized for write accessAn open-source, elastic, and workload-aware cloud data warehouse designed to meet businesses' massive-scale analytics needs at low cost and with low complexityAnalytic 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 modelWide column storeRelational DBMSRelational DBMS
Secondary database modelsVector DBMS infostarting with release V5Document store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score99.13
Rank#12  Overall
#1  Wide column stores
Score0.27
Rank#294  Overall
#133  Relational DBMS
Score8.23
Rank#45  Overall
#29  Relational DBMS
Websitecassandra.apache.orggithub.com/­datafuselabs/­databend
www.databend.com
greenplum.org
Technical documentationcassandra.apache.org/­doc/­latestdocs.databend.comdocs.greenplum.org
DeveloperApache Software Foundation infoApache top level project, originally developped by FacebookDatabend LabsPivotal Software Inc.
Initial release200820212005
Current release5.0-rc1, July 20241.0.59, April 20237.0.0, September 2023
License infoCommercial or Open SourceOpen Source infoApache version 2Open Source infoApache Version 2.0Open Source 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.
Astra DB: Multi-cloud DBaaS built on Apache Cassandra.
Implementation languageJavaRust
Server operating systemsBSD
Linux
OS X
Windows
hosted
Linux
macOS
Linux
Data schemeschema-freeyesyes
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 indexesrestricted infoonly equality queries, not always the best performing solutionnoyes
SQL infoSupport of SQLSQL-like SELECT, DML and DDL statements (CQL)yesyes
APIs and other access methodsProprietary protocol infoCQL (Cassandra Query Language, an SQL-like language)
Thrift
CLI Client
JDBC
RESTful HTTP API
JDBC
ODBC
Supported programming languagesC#
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript infoNode.js
Perl
PHP
Python
Ruby
Scala
Go
Java
JavaScript (Node.js)
Python
Rust
C
Java
Perl
Python
R
Server-side scripts infoStored proceduresnonoyes
Triggersyesnoyes
Partitioning methods infoMethods for storing different data on different nodesSharding infono "single point of failure"noneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infoRepresentation of geographical distribution of servers is possiblenoneSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency infocan be individually decided for each write operation
Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoAtomicity and isolation are supported for single operationsyesACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
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.nono
User concepts infoAccess controlAccess rights for users can be defined per objectUsers with fine-grained authorization concept, user rolesfine grained access rights according to SQL-standard
More information provided by the system vendor
Apache CassandraDatabendGreenplum
Specific characteristicsApache Cassandra is the leading NoSQL, distributed database management system, well...
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Competitive advantagesNo single point of failure ensures 100% availability . Operational simplicity for...
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Typical application scenariosInternet of Things (IOT), fraud detection applications, recommendation engines, product...
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Key customersApple, Netflix, Uber, ING,, Intuit,Fidelity, NY Times, Outbrain, BazaarVoice, Best...
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Market metricsApache Cassandra is used by 40% of the Fortune 100.
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Licensing and pricing modelsApache license  Pricing for commercial distributions provided by DataStax and available...
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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
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