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

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

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Editorial information provided by DB-Engines
NameDatabend  Xexclude from comparisonDatabricks  Xexclude from comparisonGreenplum  Xexclude from comparisonRiak TS  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 complexityThe Databricks Lakehouse Platform combines elements of data lakes and data warehouses to provide a unified view onto structured and unstructured data. It is based on Apache Spark.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.Riak TS is a distributed NoSQL database optimized for time series data and based on Riak KV
Primary database modelRelational DBMSDocument store
Relational DBMS
Relational DBMSTime Series DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.34
Rank#283  Overall
#130  Relational DBMS
Score81.08
Rank#15  Overall
#2  Document stores
#10  Relational DBMS
Score8.08
Rank#48  Overall
#31  Relational DBMS
Score0.28
Rank#307  Overall
#27  Time Series DBMS
Websitegithub.com/­datafuselabs/­databend
www.databend.com
www.databricks.comgreenplum.org
Technical documentationdocs.databend.comdocs.databricks.comdocs.greenplum.orgwww.tiot.jp/­riak-docs/­riak/­ts/­latest
DeveloperDatabend LabsDatabricksPivotal Software Inc.Open Source, formerly Basho Technologies
Initial release2021201320052015
Current release1.0.59, April 20237.0.0, September 20233.0.0, September 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialOpen Source infoApache 2.0Open Source
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageRustErlang
Server operating systemshosted
Linux
macOS
hostedLinuxLinux
OS X
Data schemeyesFlexible Schema (defined schema, partial schema, schema free)yesschema-free
Typing infopredefined data types such as float or dateyesyesno
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.noyesyes infosince Version 4.2no
Secondary indexesnoyesyesrestricted
SQL infoSupport of SQLyeswith Databricks SQLyesyes, limited
APIs and other access methodsCLI Client
JDBC
RESTful HTTP API
JDBC
ODBC
RESTful HTTP API
JDBC
ODBC
HTTP API
Native Erlang Interface
Supported programming languagesGo
Java
JavaScript (Node.js)
Python
Rust
Python
R
Scala
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
Server-side scripts infoStored proceduresnouser defined functions and aggregatesyesErlang
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 nodesnoneyesSource-replica replicationselectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate 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 datayesACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
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.nono
User concepts infoAccess controlUsers with fine-grained authorization concept, user rolesfine grained access rights according to SQL-standardno
More information provided by the system vendor
DatabendDatabricksGreenplumRiak TS
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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