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DBMS > Databend vs. Greenplum vs. Riak TS vs. YottaDB

System Properties Comparison Databend vs. Greenplum vs. Riak TS vs. YottaDB

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Editorial information provided by DB-Engines
NameDatabend  Xexclude from comparisonGreenplum  Xexclude from comparisonRiak TS  Xexclude from comparisonYottaDB  Xexclude from comparison
DescriptionAn 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.Riak TS is a distributed NoSQL database optimized for time series data and based on Riak KVA fast and solid embedded Key-value store
Primary database modelRelational DBMSRelational DBMSTime Series DBMSKey-value store
Secondary database modelsDocument store
Spatial DBMS
Relational DBMS infousing the Octo plugin
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.34
Rank#283  Overall
#130  Relational DBMS
Score8.08
Rank#48  Overall
#31  Relational DBMS
Score0.28
Rank#307  Overall
#27  Time Series DBMS
Score0.28
Rank#306  Overall
#44  Key-value stores
Websitegithub.com/­datafuselabs/­databend
www.databend.com
greenplum.orgyottadb.com
Technical documentationdocs.databend.comdocs.greenplum.orgwww.tiot.jp/­riak-docs/­riak/­ts/­latestyottadb.com/­resources/­documentation
DeveloperDatabend LabsPivotal Software Inc.Open Source, formerly Basho TechnologiesYottaDB, LLC
Initial release2021200520152001
Current release1.0.59, April 20237.0.0, September 20233.0.0, September 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache 2.0Open SourceOpen Source infoAGPL 3.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageRustErlangC
Server operating systemshosted
Linux
macOS
LinuxLinux
OS X
Docker
Linux
Data schemeyesyesschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesnono
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.noyes infosince Version 4.2nono
Secondary indexesnoyesrestrictedno
SQL infoSupport of SQLyesyesyes, limitedby using the Octo plugin
APIs and other access methodsCLI Client
JDBC
RESTful HTTP API
JDBC
ODBC
HTTP API
Native Erlang Interface
PostgreSQL wire protocol infousing the Octo plugin
Proprietary protocol
Supported programming languagesGo
Java
JavaScript (Node.js)
Python
Rust
C
Java
Perl
Python
R
C infounofficial client library
C#
C++ infounofficial client library
Clojure infounofficial client library
Dart infounofficial client library
Erlang
Go infounofficial client library
Groovy infounofficial client library
Haskell infounofficial client library
Java
JavaScript infounofficial client library
Lisp infounofficial client library
Perl infounofficial client library
PHP
Python
Ruby
Scala infounofficial client library
Smalltalk infounofficial client library
C
Go
JavaScript (Node.js)
Lua
M
Perl
Python
Rust
Server-side scripts infoStored proceduresnoyesErlang
Triggersnoyesyes infopre-commit hooks and post-commit hooks
Partitioning methods infoMethods for storing different data on different nodesnoneShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneSource-replica replicationselectable replication factoryes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynoyesno infolinks between datasets can be stored
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesACIDnooptimistic locking
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes
User concepts infoAccess controlUsers with fine-grained authorization concept, user rolesfine grained access rights according to SQL-standardnoUsers and groups based on OS-security mechanisms

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More resources
DatabendGreenplumRiak TSYottaDB
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