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DBMS > Greenplum vs. HarperDB vs. Microsoft Azure Synapse Analytics vs. Riak TS

System Properties Comparison Greenplum vs. HarperDB vs. Microsoft Azure Synapse Analytics vs. Riak TS

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Editorial information provided by DB-Engines
NameGreenplum  Xexclude from comparisonHarperDB  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparisonRiak TS  Xexclude from comparison
DescriptionAnalytic 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.Elastic, large scale data warehouse service leveraging the broad eco-system of SQL ServerRiak TS is a distributed NoSQL database optimized for time series data and based on Riak KV
Primary database modelRelational DBMSDocument storeRelational DBMSTime Series DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score8.08
Rank#48  Overall
#31  Relational DBMS
Score0.60
Rank#244  Overall
#38  Document stores
Score19.93
Rank#31  Overall
#19  Relational DBMS
Score0.28
Rank#307  Overall
#27  Time Series DBMS
Websitegreenplum.orgwww.harperdb.ioazure.microsoft.com/­services/­synapse-analytics
Technical documentationdocs.greenplum.orgdocs.harperdb.io/­docsdocs.microsoft.com/­azure/­synapse-analyticswww.tiot.jp/­riak-docs/­riak/­ts/­latest
DeveloperPivotal Software Inc.HarperDBMicrosoftOpen Source, formerly Basho Technologies
Initial release2005201720162015
Current release7.0.0, September 20233.1, August 20213.0.0, September 2022
License infoCommercial or Open SourceOpen Source infoApache 2.0commercial infofree community edition availablecommercialOpen Source
Cloud-based only infoOnly available as a cloud servicenonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageNode.jsC++Erlang
Server operating systemsLinuxLinux
OS X
hostedLinux
OS X
Data schemeyesdynamic schemayesschema-free
Typing infopredefined data types such as float or dateyesyes infoJSON data typesyesno
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.yes infosince Version 4.2nonono
Secondary indexesyesyesyesrestricted
SQL infoSupport of SQLyesSQL-like data manipulation statementsyesyes, limited
APIs and other access methodsJDBC
ODBC
JDBC
ODBC
React Hooks
RESTful HTTP/JSON API
WebSocket
ADO.NET
JDBC
ODBC
HTTP API
Native Erlang Interface
Supported programming languagesC
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#
Java
PHP
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 proceduresyesCustom Functions infosince release 3.1Transact SQLErlang
Triggersyesnonoyes 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, horizontal partitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationyes infothe nodes on which a table resides can be definedyesselectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integrityyesnono infodocs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraintsno infolinks between datasets can be stored
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDAtomic execution of specific operationsACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes, using LMDByesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess rights for users and rolesyesno

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More resources
GreenplumHarperDBMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseRiak TS
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