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

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

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Editorial information provided by DB-Engines
NameDatabricks  Xexclude from comparisonGreenplum  Xexclude from comparisonHarperDB  Xexclude from comparisonRiak TS  Xexclude from comparison
DescriptionThe 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.Ultra-low latency distributed database with an intuitive REST API supporting NoSQL and SQL (including joins). Deployment of functions and databases simultaneously with a consolidated node-level architecture.Riak TS is a distributed NoSQL database optimized for time series data and based on Riak KV
Primary database modelDocument store
Relational DBMS
Relational DBMSDocument storeTime Series DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score81.08
Rank#15  Overall
#2  Document stores
#10  Relational DBMS
Score8.08
Rank#48  Overall
#31  Relational DBMS
Score0.60
Rank#244  Overall
#38  Document stores
Score0.28
Rank#307  Overall
#27  Time Series DBMS
Websitewww.databricks.comgreenplum.orgwww.harperdb.io
Technical documentationdocs.databricks.comdocs.greenplum.orgdocs.harperdb.io/­docswww.tiot.jp/­riak-docs/­riak/­ts/­latest
DeveloperDatabricksPivotal Software Inc.HarperDBOpen Source, formerly Basho Technologies
Initial release2013200520172015
Current release7.0.0, September 20233.1, August 20213.0.0, September 2022
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0commercial infofree community edition availableOpen Source
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageNode.jsErlang
Server operating systemshostedLinuxLinux
OS X
Linux
OS X
Data schemeFlexible Schema (defined schema, partial schema, schema free)yesdynamic schemaschema-free
Typing infopredefined data types such as float or dateyesyes infoJSON data typesno
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.yesyes infosince Version 4.2nono
Secondary indexesyesyesyesrestricted
SQL infoSupport of SQLwith Databricks SQLyesSQL-like data manipulation statementsyes, limited
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
JDBC
ODBC
JDBC
ODBC
React Hooks
RESTful HTTP/JSON API
WebSocket
HTTP API
Native Erlang Interface
Supported programming languagesPython
R
Scala
C
Java
Perl
Python
R
.Net
C
C#
C++
ColdFusion
D
Dart
Delphi
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Lisp
MatLab
Objective C
Perl
PHP
PowerShell
Prolog
Python
R
Ruby
Rust
Scala
Swift
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 proceduresuser defined functions and aggregatesyesCustom Functions infosince release 3.1Erlang
Triggersyesnoyes infopre-commit hooks and post-commit hooks
Partitioning methods infoMethods for storing different data on different nodesShardingA table resides as a whole on one (or more) nodes in a clusterSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesSource-replica replicationyes infothe nodes on which a table resides can be definedselectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integrityyesnono infolinks between datasets can be stored
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDAtomic execution of specific operationsno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes, using LMDByes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess rights for users and rolesno
More information provided by the system vendor
DatabricksGreenplumHarperDBRiak TS
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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DatabricksGreenplumHarperDBRiak TS
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